Abdeljaber, H. A., & Ahmad, S. (2017). Program Outcomes Assessment Method for

Multi-Academic Accreditation Bodies: Computer Science Program as a Case Study. International 

Journal of Emerging Technologies in Learning, 12(5).

 

Abdullah, S. A., Yaakub, A., & Wahil, Z. (2015). Evaluating Students’ Need in Using Computer Aided 

Software in Landscape Design Course. Procedia-Social and Behavioral Sciences, 195, 828-836.

 

Abdullateef, B. N., Elias, N. F., Mohamed, H., Zaidan, A., & Zaidan, B. (2016). An evaluation and 

selection problems of OSS-LMS packages. SpringerPlus, 5(1), 248.

 

Abran,  A.,  Moore,  J.  W.,  Bourque,  P.,  Dupuis,  R.,  &  Tripp,  L.  (2004).  Software 

engineering body of knowledge. IEEE Computer Society, Angela Burgess.

 

Adams, N. E. (2015). Bloom’s taxonomy of cognitive learning objectives. Journal of the Medical 

Library Association: JMLA, 103(3), 152.

 

Addo-Atuah, J., Dutta, A., & Kovera, C. (2014). A global health elective course in a PharmD  

curriculum.  American  journal  of  pharmaceutical  education,  78(10), 187.

 

Aggarwal, R. (2013). Selection of IT Personnel through Hybrid Multi-attribute AHP- FLP approach. 

International Journal of Soft Computing and Engineering, 2(6), 11-17.

 

Ahmadi,  H.,  Nilashi,  M.,  &  Ibrahim,  O.  (2015).  Organizational  decision  to  adopt hospital 

  information   system:   An   empirical   investigation   in   the   case   of Malaysian public 

hospitals. International journal of medical informatics, 84(3), 166-188.

 

Ahn, H., & Kim, H.-Y. (2015). Implementation and outcome evaluation of high-fidelity simulation 

scenarios to integrate cognitive and psychomotor skills for Korean nursing students. Nurse 

education today, 35(5), 706-711.

 

Al-Mohrej, A., & Agha, S. (2016). Are Saudi medical students aware of middle east respiratory 

syndrome coronavirus during an outbreak? Journal of infection and public health.

 

Alarifi,  A.,  Zarour,  M.,  Alomar,  N.,  Alshaikh,  Z.,  & Alsaleh,  M.  (2016).  SECDEP: 

Software  engineering  curricula  development  and  evaluation  process  using

SWEBOK. Information and Software Technology, 74, 114-126.

 

Aldlaigan, A. H., & Buttle, F. A. (2002). SYSTRA-SQ: a new measure of bank service

quality. International Journal of Service Industry Management, 13(4), 362-381.

 

Altunok,  T.,  Özpeynirci,  Ö.,  Kazanço?lu,  Y.,  &  Y?lmaz,  R.  (2010).  Comparative analysis  

of  multicriteria  decision  making  methods  for  postgraduate  student selection.

 

Armstrong, P. (2016). Bloom’s taxonomy. Vanderbilt University Center for Teaching. Arndt, T. 

(2018). Big Data and software engineering: prospects for mutual enrichment.

Iran Journal of Computer Science, 1(1), 3-10.

 

Aruldoss, M., Lakshmi, T. M., & Venkatesan, V. P. (2013). A survey on multi criteria decision 

making methods and its applications. American Journal of Information Systems, 1(1), 31-43.

 

Bakarman, A. A. (2011). Attitude, skill, and knowledge:(ASK) a new model for design education. 

Proceedings of the Canadian Engineering Education Association.

 

Ball, L. S., & Kilger, L. (2016). Analyzing Nursing Student Learning Over Time in Simulation. 

Nursing Education Perspectives, 37(6), 328-330.

 

Baltussen, R., & Niessen, L. (2006). Priority setting of health interventions: the need for 

multi-criteria decision analysis. Cost effectiveness and resource allocation, 4(1), 1.

 

Baneres,  D.  (2016).  Towards  a  particular  prediction  system  to  evaluate  student’s success. 

Paper presented at the International Conference on P2P, Parallel, Grid, Cloud and Internet 

Computing.

 

Banerjee, S., Ramanathan, C., & Rao, N. (2015). An approach to automatic evaluation of  higher  

cognitive  levels  assessment  items.  Paper  presented  at  the  MOOCs, Innovation and Technology 

in Education (MITE), 2015 IEEE 3rd International Conference on.

 

Barlybayev, A., Sharipbay, A., Ulyukova, G., Sabyrov, T., & Kuzenbayev, B. (2016). Student's 

Performance Evaluation by Fuzzy Logic. Procedia Computer Science, 102, 98-105.

 

Barrios,  M.  A.  O.,  De  Felice,  F.,  Negrete,  K.  P.,  Romero,  B.  A.,  Arenas,  A.  Y.,  & 

Petrillo,  A.  (2016).  An  AHP-topsis  integrated  model  for  selecting  the  most appropriate   

tomography   equipment.   International   Journal   of   Information Technology & Decision Making, 

15(04), 861-885.

 

Baumann-Birkbeck, L., Karaksha, A., Anoopkumar-Dukie, S., Grant, G., Davey, A.,

Nirthanan,  S.,  &  Owen,  S.  (2015).  Benefits  of  e-learning  in  chemotherapy

pharmacology education. Currents in Pharmacy Teaching and Learning, 7(1),

106-111.

 

Behnaz,  F.,  Mohammadzade,  G.,  &  Mohammadzadeh,  M.  (2014).  Assessment  of

knowledge,  attitudes  and  practices  regarding  tuberculosis  among  final  year students in 

Yazd, central Iran. Journal of epidemiology and global health, 4(2), 81-85.

 

Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey  of  

TOPSIS  applications.  Expert  systems  with  applications,  39(17), 13051-13069.

 

Beikkhakhian,  Y.,  Javanmardi,  M.,  Karbasian,  M.,  & Khayambashi,  B.  (2015).  The application 

 of  ISM  model  in  evaluating agile  suppliers  selection  criteria  and ranking  suppliers  

using  fuzzy  TOPSIS-AHP  methods.  Expert  systems  with applications, 42(15-16), 6224-6236.

 

Belton,  V.,  &  Stewart,  T.  (2002).  Multiple  criteria  decision  analysis:  an  integrated 

approachKluwer Academic Publishers: Boston.

 

Bennett,  C.  (2016).  Assessment  rubrics:  thinking  inside  the  boxes.  Learning  and Teaching, 

9(1), 50-72.

 

Blackwell,  A.  F.  (2002).  First  steps  in  programming:  A  rationale  for  attention 

investment   models.   Paper   presented   at   the   Human   Centric   Computing Languages and 

Environments, 2002. Proceedings. IEEE 2002 Symposia on.

 

Blanco-Piñeiro,  P.,  Díaz-Pereira,  M.  P.,  &  Martínez,  A.  (2015).  Common  postural defects 

among music students. Journal of bodywork and movement therapies, 19(3), 565-572.

 

Blazek, M., Bess, J., Hirshbein, L., Chiang, C., Sastry, D., & Ravindranath, D. (2014). The 

Short-Answer Vignette Examination (SAVE): an assessment tool for the core psychiatry clerkship. 

Academic Psychiatry, 38(5), 615-618.

 

Boles, W. W., Goncher, A., & Jayalath, D. (2015). Categorising conceptual assessments under the 

framework of bloom’s taxonomy.

 

Bourque,  P.,  &  Fairley,  R.  E.  (2014).  Guide  to  the  software  engineering  body  of 

knowledge (SWEBOK (R)): Version 3.0: IEEE Computer Society Press.

 

Buede, D. M., & Miller, W. D. (2016). The engineering design of systems: models and

methods: John Wiley & Sons.

 

Burke, Q., Bailey, C., Lyon, L. A., & Greeen, E. (2018). Understanding the Software

Development Industry's Perspective on Coding Boot Camps versus Traditional 4-year Colleges. Paper 

presented at the Proceedings of the 49th ACM Technical Symposium on Computer Science Education.

 

Butler, K. L., Hirsh, D. A., Petrusa, E. R., Yeh, D. D., Stearns, D., Sloane, D. E., . . . de Moya, 

M. A. (2017). Surgery clerkship evaluations are insufficient for clinical skills  appraisal:  the  

value  of  a  medical  student  surgical  objective  structured clinical examination. Journal of 

surgical education, 74(2), 286-294.

 

Cain,  A.  (2013).  Developing  assessment  criteria  for  portfolio  assessed  introductory 

programming. Paper presented at the Teaching, Assessment and Learning for Engineering (TALE), 2013 

IEEE International Conference on.

 

Çal??kan, H. (2013). Selection of boron based tribological hard coatings using multi- criteria 

decision making methods. Materials & Design, 50, 742-749.

 

Campbell,  S.  H.,  Pagano,  M.  P.,  O'Shea,  E.  R.,  Connery,  C.,  &  Caron,  C.  (2013). 

Development  of  the  Health  Communication  Assessment  Tool:  Enhancing relationships, 

empowerment, and power-sharing skills. Clinical Simulation in Nursing, 9(11), e543-e550.

 

Carrion, C., Soler, M., & Aymerich, M. (2013). Association of professional training evaluation to 

content evaluation. Procedia-Social and Behavioral Sciences, 93, 1911-1915.

 

Carrion, C., Soler, M., & Aymerich, M. (2014). Professionalism Evaluation in Medical Students. 

Procedia-Social and Behavioral Sciences, 116, 1880-1884.

 

Carroll, D. (2013). Business student’s attitudes to criteria based self-assessment and 

self-efficacy.   Paper   presented   at   the   ASCILITE-Australian   Society   for Computers in 

Learning in Tertiary Education Annual Conference.

Carter, A. G., Creedy, D. K., & Sidebotham, M. (2016). Development and psychometric testing   of   

the   Carter   Assessment   of   Critical   Thinking   in   Midwifery (Preceptor/Mentor version). 

Midwifery, 34, 141-149.

 

Carter, L. (2011). Ideas for adding soft skills education to service learning and capstone courses 

for computer science students. Paper presented at the Proceedings of the 42nd ACM technical 

symposium on Computer science education.

 

Casey,  M.,  Wilkinson,  D.,  Fitzgerald,  J.,  Eley,  D.,  &  Connor,  J.  (2014).  Clinical 

communication skills learning outcomes among first year medical students are consistent 

irrespective of participation in an interview for admission to medical

school. Medical teacher, 36(7), 640-642.

 

Chakraborty, B., & Sinha, M. (2016). STUDENT EVALUATION MODEL USING

BAYESIAN  NETWORK  IN  AN  INTELLIGENT  E-LEARNING  SYSTEM.

Journal of Institute of Integrative Omics and Applied Biotechnology (IIOAB), 7, 2.

 

Chandrasekaran,  S.,  Long,  J.  M.,  &  Joordens,  M.  A.  (2015).  Evaluation  of  student 

learning  outcomes  in  fourth  year  engineering  mechatronics  through  design based  learning  

curriculum.  Paper  presented  at  the  Frontiers  in  Education Conference (FIE), 2015 IEEE.

 

Chao,  S.-Y.,  Liu,  H.-Y.,  Wu,  M.-C.,  Clark,  M.  J.,  &  Tan,  J.-Y.  (2013).  Identifying 

critical  thinking  indicators  and  critical  thinker  attributes  in  nursing  practice. Journal 

of Nursing Research, 21(3), 204-210.

 

Chen, H.-J., She, J.-L., Chou, C.-C., Tsai, Y.-M., & Chiu, M.-H. (2013). Development and 

application of a scoring rubric for evaluating students’ experimental skills in organic chemistry: 

An instructional guide for teaching assistants. Journal of Chemical Education, 90(10), 1296-1302.

 

Chen, J.-K., & Chen, I.-S. (2010). Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy 

ANP, and TOPSIS as an innovation support system for Taiwanese  higher  education.  Expert  Systems  

with  Applications,  37(3),  1981- 1990.

 

Chen, S.-M., & Lee, L.-W. (2010). Fuzzy multiple attributes group decision-making based on the 

interval type-2 TOPSIS method. Expert systems with applications, 37(4), 2790-2798.

 

Chen, Y., Pan, C.-C., Yang, G.-K., & Bai, J. (2014). Intelligent decision system for accessing   

academic   performance   of   candidates   for   early   admission   to university.  Paper  

presented  at  the  Natural  Computation  (ICNC),  2014  10th International Conference on.

 

Chen,  Y.-C.,  Kiersma,  M.  E.,  &  Abdelmageed,  A.  (2015).  Evaluation  of  student perceptions 

of standardized patient simulation on patient counseling confidence during  introductory  pharmacy  

practice  experiences.  Currents  in  Pharmacy Teaching and Learning, 7(6), 811-818.

 

Chheda, S., Carver, K., & Ashok, R. (2016). Energy-focused compiler-assisted branch prediction: 

Google Patents.

 

Clark, C. A. (2015). Evaluating nurse practitioner students through objective structured

clinical examination. Nursing Education Perspectives, 36(1), 53-54.

 

Cockerham, M. E. (2015). Effect of faculty training on improving the consistency of

student assessment and debriefing in clinical simulation. Clinical Simulation in Nursing, 11(1), 

64-71.

 

Crosthwaite,  P.,  Boynton,  S.,  &  Cole,  S.  (2017).  Exploring  rater  conceptions  of academic 

stance and engagement during group tutorial discussion assessment. Journal of English for Academic 

Purposes, 28, 1-13.

 

Daif,  A.  R.,  &  Rizkaa,  M.  A.  (2013).  An  enhanced  model  for  monitoring  learners' 

performance in a collaborative e-Learning environment. Paper presented at the e-Learning   and    

e-Technologies    in    Education    (ICEEE),    2013    Second International Conference on.

 

Daly, M., Salamonson, Y., Glew, P. J., & Everett, B. (2016). Hawks and doves: The influence of 

nurse assessor stringency and leniency on pass grades in clinical skills assessments. Collegian.

 

Damaj, I., & Yousafzai, J. (2016). Simple and accurate student outcomes assessment: A  unified  

approach  using  senior  computer  engineering  design  experiences. Paper presented at the Global 

Engineering Education Conference (EDUCON), 2016 IEEE.

 

Dance,  B.,  Davis,  E.,  Fagerheim,  B.,  Hedrich,  A.,  Lundstrom,  K.,  Martin,  P.,  & 

Holliday, W. (2015). An information literacy snapshot: Authentic assessment across the curriculum. 

College & Research Libraries, 76(2), 170-187.

 

DeGeeter, M., Taylor, S. R., Wilson, J. A., Rodgers, P. T., & Leadon, K. I. (2016). Student   

pharmacist   perceptions   of   therapeutic   lifestyle   change   (TLC) counseling abilities and 

personal health status. Currents in Pharmacy Teaching and Learning, 8(6), 750-756.

 

Deliktas, D., & Ustun, O. (2015). Student selection and assignment methodology based on  fuzzy 

MULTIMOORA  and  multichoice  goal  programming.  International Transactions in Operational 

Research.

 

Deni, W., Sudana, O., & Sasmita, A. (2013). Analysis and implementation fuzzy multi- attribute 

decision making SAW method for selection of high achieving students in  faculty  level.  

International  Journal  of  Computer  Science  Issues  (IJCSI), 10(1), 674.

 

DiDonato, K. L., Ruehter, V. L., Odum, L. E., Brownfield, A. M., & Lindsey, C. C. (2013). Assessing 

student confidence and understanding with the immunization process  through  implementation  of  an 

 immunization  protocol  at  a  school  of

pharmacy. Currents in Pharmacy Teaching and Learning, 5(5), 417-423.

 

Dolan, J. G., Boohaker, E., Allison, J., & Imperiale, T. F. (2013). Patients’ preferences and 

priorities regarding colorectal cancer screening. Medical Decision Making, 33(1), 59-70.

 

Dray, B. J., Lowenthal, P. R., Miszkiewicz, M. J., Ruiz?Primo, M. A., & Marczynski,

K.  (2011).  Developing  an  instrument  to  assess  student  readiness  for  online learning: A 

validation study. Distance Education, 32(1), 29-47.

 

Dubosh,  N.  M.,  Fisher,  J.,  Lewis,  J.,  &  Ullman,  E.  A.  (2017).  Faculty  Evaluations 

Correlate Poorly with Medical Student Examination Performance in a Fourth- Year Emergency Medicine 

Clerkship. The Journal of emergency medicine.

 

Duke,  J.  M.,  &  Aull-Hyde,  R.  (2002).  Identifying  public  preferences  for  land 

preservation using the analytic hierarchy process. Ecological Economics, 42(1), 131-145.

 

Durning, S. J., Dong, T., Hemmer, P. A., Gilliland, W. R., Cruess, D. F., Boulet, J. R., & Pangaro, 

L. N. (2015). Are commonly used premedical school or medical school   measures   associated   with  

 board   certification?   Military   medicine, 180(4S), 18-23.

 

El  Sayed,  K.  A.,  &  Chelette,  C.  T.  (2014).  Laboratory  exercises  to  teach  clinically 

relevant   chemistry   of   antibiotics.   American   journal   of   pharmaceutical education, 

78(2), 37.

 

Elkins, K. M., & Murphy, K. L. (2016). Use of the Online Version of an ACS General Chemistry Exam: 

Evaluation of Student Performance and Impact on the Final Exam Technology and Assessment Strategies 

for Improving Student Learning in Chemistry (pp. 211-223): ACS Publications.

 

Elliott,  A.  M.  (2017).  Identifying  Professional  Values  in  Nursing:  An  Integrative Review. 

Teaching and Learning in Nursing.

 

Epstein, M. J., Buhovac, A. R., & Yuthas, K. (2010). Implementing sustainability: The role of 

leadership and organizational culture. Strategic finance, 91(10), 41.

 

Ezechil, L. (2013). New perspectives on evaluation and certifying the competences of higher 

education graduates. Procedia-Social and Behavioral Sciences, 76, 7-12.

 

Fairley, R. (2014). A Software E ngineering Competency Model (SWECOM). IEEE Computer Society.

 

Faiz, M. M. U., Mansoor, U. B., Asad, S. M., & Mahmood, K. (2014). Using faculty course assessment 

report for the assessment of an associate degree course in engineering technology program. Paper 

presented at the Engineering Education

), 2014 IEEE 6th Conference on.

 

Falk,  K.,  Falk,  H.,  &  Ung,  E.  J.  (2016).  When  practice  precedes  theory–A  mixed

methods evaluation of students' learning experiences in an undergraduate study program in nursing. 

Nurse education in practice, 16(1), 14-19.

 

Farland, M. Z., Barlow, P. B., Levi Lancaster, T., & Franks, A. S. (2015). Comparison of  

answer-until-correct  and  full-credit  assessments  in  a  team-based  learning course. American 

journal of pharmaceutical education, 79(2), 21.

 

Farland,  M.  Z.,  Franks,  A.  S.,  Barlow,  P.  B.,  Rowe,  A.  S.,  &  Chisholm-Burns,  M. 

(2015). Assessment of student learning patterns,  performance,  and long-term knowledge retention 

following use of didactic lecture compared to team-based learning. Currents in Pharmacy Teaching 

and Learning, 7(3), 317-323.

 

Fauzi, S. N. F. M. (2013). Students’ Performance in Practical Training: Academicians Evaluation. 

Procedia-Social and Behavioral Sciences, 93, 1275-1280.

 

Felemban, S., Gardner, M., & Callaghan, V. (2016). An event detection approach for identifying  

learning  evidence  in  collaborative  virtual  environments.  Paper presented at the Computer 

Science and Electronic Engineering (CEEC), 2016 8th.

 

Fonseca, D., Villagrasa, S., Vails, F., Redondo, E., Climent, A., & Vicent, L. (2014). Engineering  

 teaching   methods   using   hybrid   technologies   based   on   the motivation and assessment of 

student's profiles. Paper presented at the Frontiers in Education Conference (FIE), 2014 IEEE.

 

Galal, S. M., Lai, P., Go, C., Patel, R. A., Gundersen, B., Carr-Lopez, S. M., & Woelfel,

J.   A.   (2017).   Assessing   student   knowledge,   confidence,   accuracy,   and proficiency  

in  providing  Medicare  Part  D  assistance.  Currents  in  Pharmacy Teaching and Learning, 9(2), 

272-281.

 

García, A. S., García-Álvarez, M. T., & Moreno, B. (2014). Analysis of assessment opportunities  of 

 learning  spaces:  On-line  versus  face  to  face  methodologies. Computers in Human Behavior, 

30, 372-377.

 

Gbanie,  S.  P.,  Tengbe,  P.  B.,  Momoh,  J.  S.,  Medo,  J.,  &  Kabba,  V.  T.  S.  (2013). 

Modelling  landfill  location  using  geographic  information  systems  (GIS)  and multi-criteria 

decision analysis (MCDA): case study Bo, Southern Sierra Leone. Applied Geography, 36, 3-12.

 

George,  N.  M.,  Drahnak,  D.  M.,  Schroeder,  D.  L.,  &  Katrancha,  E.  D.  (2016). Enhancing 

Prelicensure Nursing Students' Use of an Electronic Health Record.

Clinical Simulation in Nursing, 12(5), 152-158.

 

Gibb, S. (2014). Soft skills assessment: theory development and the research agenda.

International journal of lifelong education, 33(4), 455-471.

 

Giddens, J. F., Lauzon-Clabo, L., Morton, P. G., Jeffries, P., McQuade-Jones, B., & Ryan,  S.  

(2014).  Re-envisioning  clinical  education  for  nurse  practitioner programs:  themes  from  a  

national  leaders'  dialogue.  Journal  of  Professional Nursing, 30(3), 273-278.

 

Gilal, A. R., Jaafar, J., Abro, A., Umrani, W. A., Basri, S., & Omar, M. (2017). Making Programmer 

Effective for Software Development Teams: An Extended Study. Journal of Information Science and 

Engineering, 33(6), 1447-1463.

 

Godfrey, B., AVNER, L. I., LIU, C. C., TANABE, D., SIMMONS, J. L., ZELINKA,

M.,  .  .  .  NELSON,  J.  (2000).  Emergency  Medical  Guidelines,  Third  Edit. Sunshine Act of 

Florida. p.245.

 

González-Marcos, A., Alba-Elías, F., Navaridas-Nalda, F., & Ordieres-Meré, J. (2016). Student 

evaluation of a virtual experience for project management learning: An empirical study for learning 

improvement. Computers & Education, 102, 172- 187.

 

Gurupur, V. P., Jain, G. P., & Rudraraju, R. (2015). Evaluating student learning using concept  

maps  and  Markov  chains.  Expert  systems  with  applications,  42(7), 3306-3314.

 

Ha, E.-H. (2016). Undergraduate nursing students' subjective attitudes to curriculum for 

Simulation-based  objective  structured  clinical  examination.  Nurse  education today, 36, 11-17.

 

Hambach,  J.,  Diezemann,  C.,  Tisch,  M.,  &  Metternich,  J.  (2016).  Assessment  of Students’ 

Lean Competencies with the Help of Behavior Video Analysis–Are Good Students Better Problem 

Solvers? Procedia CIRP, 55, 230-235.

 

Hamidi, S., Shaffiei, Z., Sarif, S., & Ashar, N. (2013). Exploratory study of assessment in 

teaching and learning.  Paper presented at the  Research  and  Innovation in Information Systems 

(ICRIIS), 2013 International Conference on.

 

Hanselin,  M.  R.,  Martell,  C.  W.,  Knutsen,  S.,  Haight,  R.  C.,  &  Moote,  R.  (2016). 

Development   of   a   capstone   course   to   improve   student   confidence   and 

pharmacotherapy knowledge prior to advanced pharmacy practice experiences. Currents in Pharmacy 

Teaching and Learning, 8(3), 323-331.

 

Haralambopoulos, D., & Polatidis, H. (2003). Renewable energy projects: structuring a 

multi-criteria  group  decision-making  framework.  Renewable  energy,  28(6),

961-973.

 

Harper, C. (2015). Organizations: Structures, processes and outcomes: Routledge.

 

Hasan, S., AlSabbagh, R., AlHumaidi, R., AlMallah, M., & Khan, F. (2016). Objective Structured  

Clinical  Examination  (OSCE)  in  assessing  pharmacy  students’ competence of asthma management 

in English and Arabic languages. Pharmacy Education, 16.

 

Hassan, C. N. (2015). An Evaluation of Soft Skills Development of a Degree Programme in a Public 

Higher Education Institution. Universiti Sains Malaysia.

 

Hassanien, M. A., Al-Hayani, A., Abu-Kamer, R., & Almazrooa, A. (2013). A six step approach  for  

developing  computer  based  assessment  in  medical  education. Medical teacher, 35(sup1), 

S15-S19.

 

Hatcliff, J., Wassyng, A., Kelly, T., Comar, C., & Jones, P. (2014). Certifiably safe 

software-dependent systems: challenges and directions. Paper presented at the Proceedings of the on 

Future of Software Engineering.

 

He,  P.  (2012).  Evaluating  students  online  discussion  performance  by  using  social network  

 analysis.   Paper   presented   at   the   Information   Technology:   New Generations (ITNG), 

2012 Ninth International Conference on.

 

Heflin,  H.,  Shewmaker,  J.,  &  Nguyen,  J.  (2017).  Impact  of  mobile  technology  on student 

attitudes, engagement, and learning. Computers & Education, 107, 91- 99.

 

Helminen,  K.,  Coco,  K.,  Johnson,  M.,  Turunen,  H.,  &  Tossavainen,  K.  (2016). Summative 

assessment of clinical practice of student nurses: A review of the literature. International 

journal of nursing studies, 53, 308-319.

 

Herath,  G.,  &  Prato,  T.  (2006).  Using  multi-criteria  decision  analysis  in  natural 

resource management: Ashgate Publishing, Ltd.

 

Hernick, M., Hylton, A. C., & Justice, M. (2016). A process for curricular improvement based   on   

evaluation   of   student   performance   on   milestone   examinations. American journal of 

pharmaceutical education, 80(9), 159.

 

Hilgerink,  M.  P.,  Hummel,  M.  J.,  Manohar,  S.,  Vaartjes,  S.  R.,  &  IJzerman,  M.  J. 

(2011).   Assessment   of   the   added   value   of   the   Twente   Photoacoustic Mammoscope in 

breast cancer diagnosis. Medical devices (Auckland, NZ), 4, 107.

 

Hill, A. E., Davidson, B. J., McAllister, S., Wright, J., & Theodoros, D. G. (2014).

Assessment of student competency in a simulated speech-language pathology

clinical placement. International journal of speech-language pathology, 16(5),

464-475.

 

Hiller, K. M., Waterbrook, A., & Waters, K. (2016). Timing of Emergency Medicine

Student  Evaluation  Does  Not  Affect  Scoring.  The  Journal  of  emergency medicine, 50(2), 

302-307.

 

Him, N. R. N., Hamzah, F., Manaf, S. F. A., & Anuar, N. (2015). Chemical Engineering students  

soft-skills  in  Integrated  Project  (IP)  Part  4.  Paper  presented  at  the Engineering 

Education (ICEED), 2015 IEEE 7th International Conference on.

 

Hirsch, A. C., & Parihar, H. S. (2014). A capstone course with a comprehensive and integrated  

review  of  the  pharmacy  curriculum  and  student  assessment  as  a preparation for advanced 

pharmacy practice experiences. American journal of pharmaceutical education, 78(10), 192.

 

Ho,  D.  W., Whitehill,  T.  L.,  & Ciocca,  V.  (2014).  Performance  of  speech-language 

pathology students in problem-based learning tutorials and in clinical practice. Clinical 

linguistics & phonetics, 28(1-2), 102-116.

 

Hoda,   R.,   &   Murugesan,   L.   K.   (2016).   Multi-level   agile   project   management 

challenges:   A   self-organizing   team   perspective.   Journal   of   Systems   and Software, 

117, 245-257.

 

Holmes, N., Ives, J., & Bonn, D. (2014). The impact of targeting scientific reasoning on student 

attitudes about experimental physics.  Paper presented at the 2014 Physics Education Research 

Conference Proceedings.

 

Hu, Y.-H., Lo, C.-L., & Shih, S.-P. (2014). Developing early warning systems to predict students’ 

online learning performance. Computers in Human Behavior, 36, 469- 478.

 

Hugill,  A.,  &  Yang,  H.  (2013).  The  creative  turn:  new  challenges  for  computing.

International Journal of Creative Computing, 1(1), 4-19.

 

Hummel, M. J., Volz, F., van Manen, J. G., Danner, M., Dintsios, C.-M., IJzerman, M. J., & Gerber, 

A. (2012). Using the analytic hierarchy process to elicit patient preferences. The Patient: 

Patient-Centered Outcomes Research, 5(4), 225-237.

 

Hurrell, S. A. (2016). Rethinking the soft skills deficit blame game: Employers, skills withdrawal 

and the reporting of soft skills gaps. Human Relations, 69(3), 605- 628.

 

Ibrahim, F. M., Aziz, A. A., Zubairi, Y. Z., & Zaharim, A. (2012). Using the Rasch model to assess 

examination Beyond students'  scores.  Paper presented at  the

Global Engineering Education Conference (EDUCON), 2012 IEEE.

 

Ibrahim, F. M., Shariff, A. A., & Tahir, R. M. (2015). Using Rasch model to analyze

the  ability  of  pre-university  students  in  vector.  Paper  presented  at  the  AIP Conference 

Proceedings.

 

Ingoley, S. N., & Bakal, J. W. (2013a). Evaluating students' performance using four- node fuzzy 

controller. Paper presented at the Engineering (NUiCONE), 2013 Nirma University International 

Conference on.

 

Ingoley, S. N., & Bakal, J. W. (2013b). A novel method for inferring strict and lenient marks into 

normal marks using fuzzy logic. Paper presented at the Engineering (NUiCONE), 2013 Nirma University 

International Conference on.

 

Ingram, S., Cicek, J. S., & Sepehri, N. (2012). The Attribute assessment process at the University 

of Manitoba. Proceedings of the Canadian Engineering Education Association.

 

Ito,  M.,  Naoe,  N.,  Imazawa,  A.,  &  Matsushita,  O.  (2015).  Introduction  of  adapting 

design  thinking  into  the  education  in  Kanazawa  Technical  College.  Paper presented at the 

Engineering Education (ICEED), 2015 IEEE 7th International Conference on.

 

Jackson, H., Tarhini, K., Zelmanowitz, S., & Hatfield, C. (2012). Developing a simple and effective 

method of assessing Civil Engineering student outcomes.  Paper presented at the Frontiers in 

Education Conference (FIE), 2012.

 

Jadhav, A., & Sonar, R. (2009). Analytic hierarchy process (AHP), weighted scoring method  (WSM),  

and  hybrid  knowledge  based  system  (HKBS)  for  software selection:   a   comparative   study.  

 Paper   presented   at   the   2009   Second International Conference on Emerging Trends in 

Engineering & Technology.

 

Jeong,  H.  (2017).  Narrative  and  expository  genre  effects  on  students,  raters,  and 

performance criteria. Assessing Writing, 31, 113-125.

 

Jin, S.-H., SONG, K., DO HYOUNG, S., &  Shin, S. (2015). A Performance-Based Evaluation Rubric for 

Assessing and Enhancing Engineering Design Skills in Introductory Engineering  Design  Courses.  

INTERNATIONAL  JOURNAL  OF ENGINEERING EDUCATION, 31(4), 1007-1020.

 

Johnsen, E., Nilsen, M., Hjelseth, E., & Merschbrock, C. (2016). Exploring a simple visualization  

tool  for  improving  conceptual  understanding  of  classical  beam theory. Procedia Engineering, 

164, 172-179.

 

Judge, M., Polifroni, E., Maruca, A., Hobson, M., Leschak, A., & Zakewicz, H. (2015). Evaluation  

of  students'  receptiveness  and  response  to  an  interprofessional

learning  activity  across  health  care  disciplines:  An  approach  toward  team

development in healthcare. International Journal of Nursing Sciences, 2(1), 93-

98.

 

Jumaah,  F.,  Zadain,  A.,  Zaidan,  B.,  Hamzah,  A.,  &  Bahbibi,  R.  (2018).  Decision-

making solution based multi-measurement design parameter for optimization of GPS  receiver  

tracking  channels  in  static  and  dynamic  real-time  positioning multipath environment. 

Measurement, 118, 83-95.

 

Kadry,  S.  (2015).  Systematic  assessment  of  student  outcomes  in  mathematics  for 

engineering  students.  Paper  presented  at  the  Global  Engineering  Education Conference 

(EDUCON), 2015 IEEE.

 

Kakani, B., Dalal, D., & Dabhi, A. (2016). Improved solution on students answer sheet assessment  

using  fuzzy  rules.  Paper  presented  at  the  Advances  in  Signal Processing (CASP), Conference 

on.

 

Kalaani, Y., & Haddad, R. J. (2014). A Unified Approach to the Assessment of Student Learning 

Outcomes in Electrical Engineering Programs.

 

Kalid, N., Zaidan, A., Zaidan, B., Salman, O. H., Hashim, M., Albahri, O., & Albahri,

A. (2018). Based on Real Time Remote Health Monitoring Systems: A New Approach for Prioritization 

“Large Scales Data” Patients with Chronic Heart Diseases  Using  Body  Sensors  and  Communication  

Technology.  Journal  of medical systems, 42(4), 69.

 

Kanaparan,   G.   (2016).   Self-efficacy   and   engagement   as   predictors   of   student 

programming performance: An international perspective.

 

Kandakoglu, A., Celik, M., & Akgun, I. (2009). A multi-methodological approach for shipping 

registry selection in maritime transportation industry.  Mathematical and Computer Modelling, 

49(3), 586-597.

 

Kazi, L., & Radulovic, B. (2011). Information system based on Balanced Scorecard for student 

teamwork software project management. Paper presented at the MIPRO, 2011 Proceedings of the 34th 

International Convention.

 

Keeney, R. L., & Raiffa, H. (1993). Decisions with multiple objectives: preferences and value 

trade-offs: Cambridge university press.

 

Khatimin, N., Zaharim, A., Aziz, A. A., Sahari, J., & Rahmat, R. A. O. (2013). Setting the standard 

for project design course using rasch measurement model. Paper presented at the Global Engineering 

Education Conference (EDUCON), 2013

IEEE.

 

Kiani, L. S., & Menke, C. (2015). Refining scientific writing skills with feedback that works  for  

students  and  instructors.  Paper  presented  at  the  Education  and Training in Optics and 

Photonics.

 

Kianto,   A.,   Vanhala,   M.,   &   Heilmann,   P.   (2016).   The   impact   of   knowledge 

management  on  job  satisfaction.  Journal  of  Knowledge  Management,  20(4), 621-636.

 

Kibble, J. D. (2017). Best practices in summative assessment: Am Physiological Soc. 

 

Kim, K., Kyung, T., Kim, W., Shin, C., Song, Y., Lee, M. Y., . . . Cho, Y. (2009).

Efficient  management  design  for  swimming  exercise  treatment.  The  Korean Journal of 

Physiology & Pharmacology, 13(6), 497-502.

 

Kim,  S.-J.,  Kim,  S.,  Kang,  K.-A.,  Oh,  J.,  &  Lee,  M.-N.  (2016).  Development  of  a 

simulation evaluation tool for assessing nursing students' clinical judgment in caring for children 

with dehydration. Nurse education today, 37, 45-52.

 

Kim, W., Han, S. K., Oh, K. J., Kim, T. Y., Ahn, H., & Song, C. (2010). The dual analytic hierarchy 

process to prioritize emerging technologies.  Technological Forecasting and Social Change, 77(4), 

566-577.

 

Kitamura, Y. (2010). Decision?making process of patients with gynecological cancer regarding their 

cancer treatment choices using the analytic hierarchy process. Japan Journal of Nursing Science, 

7(2), 148-157.

 

Kohoutek,  J.  (2014).  European  standards  for  quality  assurance  and  institutional practices  

of  student  assessment  in  the  UK,  the  Netherlands  and  the  Czech Republic. Assessment & 

Evaluation in Higher Education, 39(3), 310-325.

 

Kron, F. W., Fetters, M. D., Scerbo, M. W., White, C. B., Lypson, M. L., Padilla, M. A.,  .  .  .  

Wallace,  A.  M.  (2017).  Using  a  computer  simulation  for  teaching communication   skills:   

A   blinded   multisite   mixed   methods   randomized controlled trial. Patient education and 

counseling, 100(4), 748-759.

 

Kumar,  V.  D.  (2017).  Software  Engineering  for  Big  Data  Systems.  University  of Waterloo.

 

Lahby,  M.,  Cherkaoui,  L.,  &  Adib,  A.  (2013).  A  Novel  Ranking  Algorithm  Based Network 

Selection For Heterogeneous Wireless Access. JNW, 8(2), 263-272.

 

Lam, K., & Zhao, X. (1998). An application of quality function deployment to improve the   quality  

 of   teaching.   International   Journal   of   Quality   &   Reliability

gement, 15(4), 389-413.

 

Larkin, T. L. (2013). Breaking with tradition: Using the conference paper as a case for

alternative assessment in physics. Paper presented at the Interactive

Collaborative Learning (ICL), 2013 International Conference on.

 

Lebeuf, C. R. (2018). A taxonomy of software bots: towards a deeper understanding of

software bot characteristics.

 

Lengelle, R., Meijers, F., Poell, R., & Post, M. (2014). Career writing: Creative,

expressive and reflective approaches to narrative identity formation in students

in higher education. Journal of Vocational Behavior, 85(1), 75-84.

 

Lesmes, D., Castillo, M., & Zarama, R. (2009). Application of The Analytic Network

Process (ANP) to Establish Weights In Order To Re-Accredit A Program Of A

University. Paper presented at the Proceedings of the International Symposium

on the Analytic Hierarchy Process.

 

Leyva López, J. C. (2005). Multicriteria decision aid application to a student selection

problem. Pesquisa Operacional, 25(1), 45-68.

 

Liao, S.-W., Chang, K.-Y., Ting, C.-K., Tsou, M.-Y., Chen, E.-T., Chan, K.-H., &

Chang, W.-K. (2014). Comparison of proficiency in an anesthesiology course

across distinct medical student cohorts: Psychometric approaches to test

equating. Journal of the Chinese Medical Association, 77(3), 150-154.

 

Liberatore, M. J., & Nydick, R. L. (2008). The analytic hierarchy process in medical

and health care decision making: A literature review. European Journal of

Operational Research, 189(1), 194-207.

 

Lile, R., & Bran, C. (2014). The assessment of learning outcomes. Procedia-Social and

Behavioral Sciences, 163, 125-131.

 

Lin, F.-Y., Wu, W.-W., Lin, H.-R., & Lee, T.-Y. (2014). The learning experiences of

student nurses in pediatric medication management: A qualitative study. Nurse

education today, 34(5), 744-748.

 

Linaker, K. L. (2015). Student Evaluations, Outcomes, and National Licensure

Examinations in Radiology Education: A Narrative Review of the Literature.

Journal of chiropractic humanities, 22(1), 17-21.

 

Liu, Y., Han, C., Huang, L., Wang, B., & Zhu, Z. (2012). Research and development of

student assessment system based on knowledge, ability and mentality. Paper

presented at the Computer Science & Education (ICCSE), 2012 7th

International Conference on.

 

Lizer, M., Ayers, G., Pierce, R. J., & Elsobky, T. (2016). Pharmacy student preferences

on instructional strategies in a mental  health  elective.  Currents in Pharmacy Teaching and 

Learning, 8(1), 133-138.

 

Lotriet, M., Erasmus, H., & Mostert, S. N. (2016). Tutoring targets− the challenge of evaluating 

success. Journal for New Generation Sciences, 14(1), 63-76.

 

Luo, Y., & Wu, W. (2015). Sustainable Design with BIM Facilitation in Project-based Learning. 

Procedia Engineering, 118, 819-826.

 

Macek, O., & Kom, M. (2012). Evaluation of student teamwork. Paper presented at the Software  

Engineering  Education  and  Training  (CSEE&T),  2012  IEEE  25th Conference on.

 

Macfarlane, B. (2016). The performative turn in the assessment of student learning: a rights 

perspective. Teaching in Higher Education, 21(7), 839-853.

 

Mahboob, T., Irfan, S., & Karamat, A. (2016). A machine learning approach for student assessment  

in  E-learning  using  Quinlan's  C4.  5,  Naive  Bayes  and  Random Forest  algorithms.  Paper  

presented  at  the  Multi-Topic  Conference  (INMIC), 2016 19th International.

 

Mahmood,  K.,  Khan,  K.  M.,  Khan,  K.  S.,  &  Kiani,  S.  (2015).  Implementation  of outcome  

based  education  in  Pakistan:  A  step  towards  Washington  Accord. Paper  presented  at  the  

Engineering  Education  (ICEED),  2015  IEEE  7th International Conference on.

 

Maier,  M.  W.  (2006).  System  and  software  architecture  reconciliation.  Systems Engineering, 

9(2), 146-159.

 

Malczewski, J. (1999). GIS and multicriteria decision analysis: John Wiley & Sons. Maria,  T.,  

Dimitris,  P.,  Garifallos,  F.,  Athanasios,  G.,  &  Roumeliotis,  M.  (2015).

Collaboration  learning  as  a  tool  supporting  value  co-creation.  Evaluating

students  learning  through  concept  maps.  Procedia-Social  and  Behavioral Sciences, 182, 

375-380.

 

Markenson, D., Woolf, S., Redlener, I., & Reilly, M. (2013). Disaster medicine and public health 

preparedness of health professions students: a multidisciplinary assessment  of  knowledge,  

confidence,  and  attitudes.  Disaster  medicine  and public health preparedness, 7(5), 499-506.

 

Mecwan, A., Shah, D., & Fataniya, B. (2015). Innovations in evaluation: An integral part   of   

outcome   based   education.   Paper   presented   at   the   Engineering

(NUiCONE), 2015 5th Nirma University International Conference on.

 

Mehta, S., Clarke, F., & Fleming, P. (2016). An assessment of student experiences and

learning  based  on  a  novel  undergraduate  e-learning  resource.  British  dental journal, 

221(3), 131-136.

 

Mikasa, A. W., Cicero, T. F., & Adamson, K. A. (2013). Outcome-based evaluation tool  to  evaluate  

student  performance  in  high-fidelity  simulation.  Clinical Simulation in Nursing, 9(9), 

e361-e367.

 

Misut,  M.,  &  Misutova,  M.  (2017).  Software  Solution  Improving  Productivity  and Quality  

for  Big  Volume  Students'  Group  Assessment  Process.  International Journal of Emerging 

Technologies in Learning, 12(4).

 

Molins-Ruano,  P.,  Rodriguez,  P.,  Atrio,  S.,  & Sacha,  G.  (2016).  Modelling experts' 

behavior  with  e-valUAM  to  measure  computer  science  skills.  Computers  in Human Behavior, 

61, 378-385.

 

Moustroufas, E., Stamelos, I., & Angelis, L. (2015). Competency profiling for software engineers:   

literature   review   and   a   new   model.   Paper   presented   at   the Proceedings of the 19th 

Panhellenic Conference on Informatics.

 

Murray, K., McKenzie, K., & Kelleher, M. (2016). The evaluation of a framework for measuring the 

non-technical ward round skills of final year nursing students: An observational study. Nurse 

education today, 45, 87-90.

 

Myers, B. A., Stefik, A., Hanenberg, S., Kaijanaho, A.-J., Burnett, M., Turbak, F., & Wadler,  P.  

(2016).  Usability  of  Programming  Languages:  Special  Interest Group (SIG) Meeting at CHI 2016. 

Paper presented at the Proceedings of the 2016  CHI  Conference  Extended  Abstracts  on  Human  

Factors  in  Computing Systems.

 

Myers, J. A., Vigneswaran, Y., Gabryszak, B., Fogg, L. F., Francescatti, A. B., Golner, C.,  &  

Bines,  S.  D.  (2014).  NBME  subject  examination  in  surgery  scores correlate   with   surgery 

 clerkship   clinical   experience.   Journal   of   surgical education, 71(2), 205-210.

 

Myler,  L.  A.,  &  Seurynck,  K.  (2016).  Student  Evaluation  of  Simulation  in  a  New 

Hospital-Based Simulation Center. Nursing Education Perspectives, 37(6), 335- 336.

 

Naber, J., & Wyatt, T. H. (2014). The effect of reflective writing interventions on the critical 

thinking skills and dispositions of baccalaureate nursing students. Nurse

education today, 34(1), 67-72.

 

Najjar,  R.  H.,  Docherty,  A.,  &  Miehl,  N.  (2016).  Psychometric  properties  of  an

objective  structured  clinical  assessment  tool.  Clinical  Simulation  in  Nursing, 12(3), 

88-95.

 

Nallasamy, M. (2014). A study on threshold concepts in teaching and learning in TAFE- industry 

training. Paper presented at the Teaching, Assessment and Learning (TALE), 2014 International 

Conference on.

 

Narula,  M.,  &  Nagar,  P.  (2015).  Fuzzy  logic  based  expert  system  for  students' 

performance  evaluation.  Paper  presented  at  the  Computing  for  Sustainable Global Development 

(INDIACom), 2015 2nd International Conference on.

 

Navazesh,  M.,  Rich,  S.  K.,  Chopiuk,  N.  B.,  &  Keim,  R.  G.  (2013).  Triple  jump 

examinations  for  dental  student  assessment.  Journal  of  dental  education, 77(10), 1315-1320.

 

Nikoomaram, H., Mohammadi, M., Taghipourian, M. J., & Taghipourian, Y. (2009). Training performance 

evaluation of administration sciences instructors by fuzzy MCDM approach. Contemporary Engineering 

Sciences, 2(12), 559-575.

 

Nilsson, H., Nordström, E.-M., & Öhman, K. (2016). Decision support for participatory forest 

planning using AHP and TOPSIS. Forests, 7(5), 100.

 

O'Brocta,  R.,  &  Swigart,  S.  (2013).  Student  perceptions  of  a  Top  200  Medication Course  

utilizing  active  learning  techniques.  Currents  in  Pharmacy  Teaching and Learning, 5(1), 

49-53. e42.

 

Oermann, M. H., Kardong-Edgren, S., & Rizzolo, M. A. (2016). Towards an Evidence- Based Methodology 

for High-Stakes Evaluation of Nursing Students' Clinical Performance Using Simulation. Teaching and 

Learning in Nursing, 11(4), 133- 137.

 

Oliveira, M., Fontes, D. B., & Pereira, T. (2014). Multicriteria decision making: a case study in 

the automobile industry. Annals of Management Science, 3(1), 109.

 

Ortíz, M. A., Cómbita, J. P., Hoz, Á. l. A. D. l., Felice, F. D., & Petrillo, A. (2016). An 

integrated approach of AHP-DEMATEL methods applied for the selection of allied   hospitals   in   

outpatient   service.   International   Journal   of   Medical Engineering and Informatics, 8(2), 

87-107.

 

P.-E., J., & M. Mollaghasemi. (1997). Technical Briefing: Making Multiple Objective Decisions. 

Retrieved from Los Alamitos, California:

 

Paturusi, S., Chisaki, Y., & Usagawa, T. (2014). Development and evaluation of online quizzes  to  

enhance  learning  performance:  A  survey  of  student  assessment

through MOODLE in Indonesian National University. Paper presented at the

Information,    Communication    Technology    and    System    (ICTS),    2014

International Conference on.

 

Paudel, S. (2016). VULNERABLE WEB APPLICATIONS AND HOW TO AUDIT

THEM: Use of OWASP Zed Attack Proxy effectively to find the vulnerabilities of web applications.

 

Paul, S. A. (2014). Assessment of critical thinking: a Delphi study. Nurse education today, 34(11), 

1357-1360.

 

Peasah, S. K., & Marshall, L. L. (2017). The use of debates as an active learning tool in a  

college  of  pharmacy  healthcare  delivery  course.  Currents  in  Pharmacy Teaching and Learning.

 

Pejcinovic,  B.,  Duncan,  D.,  Wong,  P.  K.,  Faust,  M.,  &  Recktenwald,  G.  (2014). 

Assessment of student preparedness for freshman engineering courses through assessment of math 

background. Paper presented at the Frontiers in Education Conference (FIE), 2014 IEEE.

 

Petrovic-Lazarevic,  S.,  &  Abraham,  A.  (2004).  Hybrid  fuzzy-linear  programming approach   

for   multi   criteria   decision   making   problems.   arXiv   preprint cs/0405019.

 

Petrudi,  S.  H.  J.,  Pirouz,  M.,  &  Pirouz,  B.  (2013).  Application  of  fuzzy  logic  for 

performance  evaluation  of  academic  students.  Paper  presented  at  the  Fuzzy Systems (IFSC), 

2013 13th Iranian Conference on.

 

Phillips, L. D., & e Costa, C. A. B. (2007). Transparent prioritisation, budgeting and resource   

allocation   with   multi-criteria   decision   analysis   and   decision conferencing. Annals of 

Operations Research, 154(1), 51-68.

 

Pirzadeh, L. (2010). Human factors in software development: a systematic literature review.

 

Poole,  C.,  &  Boland,  J.  (2016).  What  influences  assessors'  internalised  standards?

Radiography, 22(2), e99-e105.

 

Potenza,  R.,  Guermani,  A.,  Peluso,  M.,  Casciola,  A.,  Ginosa,  I.,  Sperlinga,  R.,  & 

Donadio,  P.  (2015).  Effectiveness  of  an  education  program  on  donation and transplant aimed 

at students of the nursing degree course. Paper presented at the Transplantation proceedings.

 

Puthal, D., Sahoo, B., Mishra, S., & Swain, S. (2015). Cloud computing features, issues, and 

challenges: a big picture. Paper presented at the Computational Intelligence

and Networks (CINE), 2015 International Conference on.

 

Qader, M., Zaidan, B., Zaidan, A., Ali, S., Kamaluddin, M., & Radzi, W. (2017). A

Methodology   for   Football   Players   Selection   Problem   Based   on   Multi- Measurements 

Criteria Analysis. Measurement.

 

Qin, X.-S., Huang, G. H., Chakma, A., Nie, X., & Lin, Q. (2008). A MCDM-based expert system for 

climate-change impact assessment and adaptation planning– A case study for the Georgia Basin, 

Canada. Expert Systems with Applications, 34(3), 2164-2179.

 

Qu, L., & Chen, Y. (2008). A hybrid MCDM method for route selection of multimodal transportation  

network.  Paper  presented  at  the  International  Symposium  on Neural Networks.

 

Rajaee, N., Sabri, M. F. M., Ping, K. H., & Husin, M. H. (2013). Assessment of student learning 

outcomes in digital signal processing course in PKEK, UNIMAS. Paper presented at the Engineering 

Education (ICEED), 2013 IEEE 5th Conference on.

 

Rakbamrung,  P.,  Puekkong,  J.,  &  Thepnuan,  P.  (2015).  Students’  Understanding Physics   

Concept   of   Traction   Therapy.   Procedia-Social   and   Behavioral Sciences, 197, 135-139.

 

Rana,  S.,  &  Garg,  R.  (2016).  Application  of  Hierarchical  Clustering  Algorithm  to 

Evaluate   Students   Performance   of   an   Institute.   Paper   presented   at   the 

Computational   Intelligence   &   Communication   Technology  (CICT),   2016 Second International 

Conference on.

 

Rasmani, K. A., Shahari, N. A., Garibaldi, J. M., & Shen, Q. (2013). Practicality issues in  using  

fuzzy  approaches  for  aggregating  students’  academic  performance. Procedia-Social and 

Behavioral Sciences, 83, 398-402.

 

Rauf, A., Shamim, M. S., Aly, S. M., Chundrigar, T., & Alam, S. N. (2014). Formative assessment in 

undergraduate medical education: concept, implementation and hurdles. J Pak Med Assoc, 64(64), 

72-75.

 

Redmond, C., Davies, C., Cornally, D., Adam, E., Daly, O., Fegan, M., & O'Toole, M. (2018).  Using  

reusable  learning  objects  (RLOs)  in  wound  care  education: Undergraduate student nurse's 

evaluation of their learning gain. Nurse education today, 60, 3-10.

 

Reid,  C.  M.,  Kim,  D.  Y.,  Mandel,  J.,  Smith,  A.,  &  Bansal,  V.  (2014).  Correlating 

surgical  clerkship  evaluations  with  performance  on  the  National  Board  of

Medical Examiners examination. Journal of Surgical Research, 190(1), 29-35.

 

Ren, J., & Sovacool, B. K. (2015). Prioritizing low-carbon energy sources to enhance China’s energy 

security. Energy Conversion and Management, 92, 129-136.

 

Roberts, C., Shadbolt, N., Simpson, P., & Clark, T. (2014). The reliability and validity of  a  

portfolio  designed  as  a  programmatic  assessment  of  performance  in  an integrated clinical 

placement. BMC medical education, 14(1), 197.

 

Roszkowska,  E.  (2013).  Rank  ordering  criteria  weighting  methods–a  comparative overview.

 

Saad, M. I. M., Baharom, S., & Mokhsein, S. E. (2017). Scientific reasoning skills based on 

socio-scientific issues in the biology subject. INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED 

SCIENCES, 4(3), 13-18.

 

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of 

mathematical psychology, 15(3), 234-281.

 

Saaty,  T.  L.  (1980).  The  Analytic  Hierarchy  Process,  New  York:  McGrew  Hill. 

International,  Translated  to  Russian,  Portuguesses  and  Chinese,  Revised edition, Paperback 

(1996, 2000), Pittsburgh: RWS Publications.

 

Saaty, T. L., & Ozdemir, M. S. (2003). Why the magic number seven plus or minus two. Mathematical 

and Computer Modelling, 38(3-4), 233-244.

 

Saceda-Corralo,  D.,  Fonda-Pascual,  P.,  Moreno-Arrones,  Ó.,  Alegre-Sánchez,  A., 

Hermosa-Gelbard,  Á.,  Jiménez-Gómez,  N.,  .  .  .  Jaén-Olasolo,  P.  (2017). Objective 

Structured Clinical Examination as an Assessment Tool for Clinical Skills in Dermatology. Actas 

dermo-sifiliograficas, 108(3), 237-243.

 

Sajid,  M.  R.,  Laheji,  A.  F.,  Abothenain,  F.,  Salam,  Y.,  AlJayar,  D.,  &  Obeidat,  A. 

(2016).  Can  blended  learning  and  the  flipped  classroom  improve  student learning  and  

satisfaction  in  Saudi  Arabia?  International  journal  of  medical education, 7, 281.

 

Saksrisathaporn, K., Bouras, A., Reeveerakul, N., & Charles, A. (2016). Application of a decision 

model by using an integration of AHP and TOPSIS approaches within humanitarian   operation   life   

cycle.   International   Journal   of   Information Technology & Decision Making, 15(04), 887-918.

 

Salvador, G., Bañó, M., Contero, M., & Camba, J. (2014). Evaluation of a distributed collaborative 

workspace as a creativity tool in the context of design education. Paper presented at the Frontiers 

in Education Conference (FIE), 2014 IEEE.

 

Salzmann?Erikson,    M.,    Bjuhr,    M.,    &    Mårtensson,    G.    (2017).    Developing, and   

Evaluating   the   Educational   Module   Students   Active

Learning   via   Internet   Observations   (SALIO)   in   Undergraduate   Nursing

Education. Perspectives in psychiatric care, 53(2), 104-110.

 

Samarakou,  M.,  Prentakis,  P.,  Mitsoudis,  D.,  Karolidis,  D.,  &  Athinaios,  S.  (2017). 

Application  of  fuzzy  logic  for  the  assessment  of  engineering  students.  Paper presented at 

the Global Engineering Education Conference (EDUCON), 2017 IEEE.

 

Sample, S. J., Bleedorn, J. A., Schaefer, S. L., Mikla, A., Olsen, C. W., & Muir, P. (2014).   

Students'   Perception   of   Case?Based   Continuous   Assessment   and Multiple?Choice Assessment 

in a Small Animal Surgery Course for Veterinary Medical Students. Veterinary surgery, 43(4), 

388-399.

 

San Miguel, C., & Rogan, F. (2015). Assessing students' English language proficiency during 

clinical placement: A qualitative evaluation of a language framework. Nurse education today, 35(6), 

771-776.

 

Sedelmaier, Y., & Landes, D. (2014). Software engineering body of skills (SWEBOS). Paper presented 

at the Global Engineering Education Conference (EDUCON), 2014 IEEE.

 

Sharma, K., Banerjee, K., Mandal, C., & Vikas, I. (2015). A benchmark programming assignment  suite 

 for  quantitative  analysis  of  student  performance  in  early programming   courses.   Paper   

presented   at   the   MOOCs,   Innovation   and Technology in Education (MITE), 2015 IEEE 3rd 

International Conference on.

 

Sherekar,  V.,  Tatikonda,  M.,  &  Student,  M.  (2016).  Impact  of  Factor  Affecting  on Labour 

 Productivity in  Construction  Projects  by AHP  Method.  International Journal of Engineering 

Science and Computing, 6.

 

Shih,  H.-S.,  Shyur,  H.-J.,  &  Lee,  E.  S.  (2007).  An  extension  of  TOPSIS  for  group 

decision making. Mathematical and Computer Modelling, 45(7), 801-813.

 

Shin,  H.,  Park,  C.  G.,  &  Kim,  H.  (2015).  Validation  of  Yoon's  Critical  Thinking 

Disposition Instrument. Asian nursing research, 9(4), 342-348.

 

Simonova,  I., & Poulova, P. (2016).  Assessment preferences of IT and management students.  Paper  

presented  at  the  e-Learning,  e-Management  and  e-Services (IC3e), 2016 IEEE Conference on.

 

Sin, C., & Manatos, M. (2014). Student assessment in Portugal: academic practice and Bologna 

policy. Higher Education Policy, 27(3), 323-340.

 

Singh, S., Dolan, J. G., & Centor, R. M. (2006). Optimal management of adults with pharyngitis–a  

multi-criteria decision  analysis.  BMC  Medical  Informatics  and

Decision Making, 6(1), 14.

 

Singh,  U.,  &  Wassermann,  J.  (2016).  A  story  of  a  journey  in  implementing  an  e-

assessment  system  at  a  South  African  university.  Africa  Education  Review, 13(3-4), 1-16.

 

Skelley, J. W. (2014). A small group assignment gives students a novel opportunity to demonstrate  

current  clinical  controversies  in  a  self-care  course.  American journal of pharmaceutical 

education, 78(10), 193.

 

Skúladóttir,  H.,  &  Svavarsdóttir,  M.  H.  (2016).  Development  and  validation  of  a Clinical 

Assessment Tool for Nursing Education (CAT-NE). Nurse education in practice, 20, 31-38.

 

Smith, J.,  Cook,  A.,  & Packer,  C.  (2010).  Evaluation  criteria to  assess  the  value  of 

identification sources for horizon scanning. International journal of technology assessment in 

health care, 26(3), 348-353.

 

Smith,  J.,  Wolfe,  C.  L.,  Springer,  S.,  Martin,  M.,  Togno,  J.,  Bramstedt,  K.  A.,  .  .  

. Murphy,  B.  (2015).  Using  cultural  immersion  as  the  platform  for  teaching Aboriginal  

and  Torres  Strait  Islander  health  in  an  undergraduate  medical curriculum. Rural and remote 

health, 15(3), 1.

 

Smith, S., Farra, S., Ten Eyck, R., & Bashaw, M. (2015). Development of an instrument to  measure  

nursing  student  teamwork  skills.  Clinical  Simulation  in  Nursing, 11(12), 507-512.

 

Stal-Le Cardinal, J., Mousseau, V., & Zheng, J. (2011). An application of constrained multicriteria 

sorting to student selection Portfolio Decision Analysis (pp. 213- 240): Springer.

 

Stoet, G., & Geary, D. C. (2017). Students in countries with higher levels of religiosity perform 

lower in science and mathematics. Intelligence, 62, 71-78.

 

Stupple, E. J., Maratos, F. A., Elander, J., Hunt, T. E., Cheung, K. Y., & Aubeeluck, A.

V. (2017). Development of the Critical Thinking Toolkit (CriTT): A measure of student  attitudes  

and  beliefs  about  critical  thinking.   Thinking  Skills  and Creativity, 23, 91-100.

 

Sundeen, T., Vince Garland, K. M., & Wienke, W. D. (2016). A Multi-Year Evaluation of Student 

Perceptions of University and Special Education Doctoral Websites. Teacher Education and Special 

Education, 39(4), 259-275.

 

Suskie, L. (2018). Assessing student learning: A common sense guide: John Wiley &

Sons.

 

Sutton,  P.  A.,  Mason,  J.,  Vimalachandran,  D.,  &  McNally,  S.  (2014).  Attitudes,

motivators,  and  barriers  to  a  career  in  surgery:  a  national  study  of  UK undergraduate 

medical students. Journal of surgical education, 71(5), 662-667.

 

Tafiadis, D., Chronopoulos, S. K., Siafaka, V., Drosos, K., Kosma, E. I., Toki, E. I., & Ziavra, N. 

(2017). Comparison of voice handicap index scores between female students of speech therapy and 

other health professions. Journal of Voice, 31(5), 583-588.

 

Talib,  A.  M.,  Alomary,  F.  O.,  &  Alwadi,  H.  F.  (2018).  Assessment  of  Student 

Performance  for  Course  Examination  Using  Rasch  Measurement  Model:  A Case  Study  of  

Information  Technology  Fundamentals  Course.  Education Research International, 2018.

 

Terry, V. R., Moloney, C., Bowtell, L., & Terry, P. C. (2016). Online intravenous pump emulator: As 

effective as face-to-face simulation for training nursing students. Nurse education today, 40, 

198-203.

 

Tews, M. C., Treat, R. W., & Nanes, M. (2016). Increasing Completion Rate of an M4 Emergency   

Medicine   Student   End-of-Shift   Evaluation   Using   a   Mobile Electronic Platform and 

Real-Time Completion. Western Journal of Emergency Medicine, 17(4), 478.

 

Thokala, P., Devlin, N., Marsh, K., Baltussen, R., Boysen, M., Kalo, Z., . . . Watkins,

J.  (2016).  Multiple  Criteria  Decision  Analysis  for  Health  Care  Decision Making—An  

Introduction:  Report  1  of  the  ISPOR  MCDA  Emerging  Good Practices Task Force. Value in 

health, 19(1), 1-13.

 

Thomas, R. E., Teel, T. L., & Bruyere, B. L. (2014). Seeking excellence for the land of paradise:  

integrating  cultural  information  into  an  environmental  education program in a rural Hawai’ian 

community. Studies in Educational Evaluation, 41, 58-67.

 

Towey,  D.,  Chen,  T.  Y.,  Kuo,  F.-C.,  Liu,  H.,  &  Zhou,  Z.  Q.  (2016).  Metamorphic 

testing:  A  new  student  engagement  approach  for  a  new  software  testing paradigm.  Paper  

presented  at  the  Teaching,  Assessment,  and  Learning  for Engineering (TALE), 2016 IEEE 

International Conference on.

 

Triantaphyllou,  E.  (2000).  Multi-criteria  decision  making  methods  Multi-criteria Decision 

Making Methods: A Comparative Study (pp. 5-21): Springer.

 

Triantaphyllou, E., Shu, B., Sanchez, S. N., & Ray, T. (1998). Multi-criteria decision making:  an  

operations  research  approach.  Encyclopedia  of  electrical  and

electronics engineering, 15, 175-186.

 

van Til, J. A., Renzenbrink, G. J., Dolan, J. G., & IJzerman, M. J. (2008). The use of

the analytic hierarchy process to aid decision making in acquired equinovarus deformity. Archives 

of physical medicine and rehabilitation, 89(3), 457-462.

 

Vaughan, B. (2016). Confirmatory factor analysis of the Study Process Questionnaire in  an  

Australian  osteopathy  student  population.   International  Journal  of Osteopathic Medicine, 20, 

62-67.

 

Vaughan, B., & Morrison, T. (2015). Assessment in the final year clinical practicum of an   

Australian   osteopathy   program.   International   Journal   of   Osteopathic Medicine, 18(4), 

278-286.

 

Velasquez, M., & Hester, P. T. (2013). An analysis of multi-criteria decision making methods. 

International Journal of Operations Research, 10(2), 56-66.

 

Velayo, B. C., Stark, P. C., Eisen, S. E., & Kugel, G. (2014). Using dental students’ preclinical 

performance  as an indicator of clinical success.  Journal of dental education, 78(6), 823-828.

 

Veltri,  L.,  Kaakinen,  J.  R.,  Shillam,  C.,  Arwood,  E.,  &  Bell,  K.  (2016).  Controlled 

Postpartum–Newborn  Simulation  With  Objective  Evaluation  Exchanged  for Clinical Learning. 

Clinical Simulation in Nursing, 12(5), 177-186.

 

Viennet,  E.,  &  Petrucci,  L.  (2014).  Monitoring  students  performances  in  French Institutes 

 of  Technology  using  the  ScoDoc  software.  Paper  presented  at  the Information Technology 

Based Higher Education and Training (ITHET), 2014.

 

Vuc, G., Baloi, F., & Litcanu, M. (2015). Adapting Methods of Student Evaluation and Grading  in  

Electrical  Power  Engineering.  Procedia-Social  and  Behavioral Sciences, 191, 147-151.

 

Vyatkin,  V.  (2013).  Software  engineering  in  industrial  automation:  State-of-the-art review. 

IEEE Transactions on Industrial Informatics, 9(3), 1234-1249.

 

Walia, S., & Marks-Maran, D. (2014). Leadership development through action learning sets: An 

evaluation study. Nurse education in practice, 14(6), 612-619.

 

Wang, J.-J., Jing, Y.-Y., Zhang, C.-F., & Zhao, J.-H. (2009). Review on multi-criteria decision  

analysis  aid  in  sustainable  energy  decision-making.  Renewable  and Sustainable Energy 

Reviews, 13(9), 2263-2278.

 

Wang, M.-H., Wang, C.-S., Lee, C.-S., Lin, S.-W., & Hung, P.-H. (2014). Type-2 fuzzy set 

construction and application for adaptive student assessment system. Paper presented   at  the  

Fuzzy  Systems  (FUZZ-IEEE),  2014   IEEE   International

Conference on.

 

Whitlock,  B.,  &  Ebrahimi,  N.  (2016).  Beyond  the  library:  using  multiple,  mixed

measures simultaneously in a college-wide assessment of information literacy.

College & Research Libraries, 77(2), 236-262.

 

Wilbur, K., Hassaballa, N., Mahmood, O. S., & Black, E. K. (2017). Describing student performance: 

a comparison among clinical preceptors across cultural contexts. Medical Education, 51(4), 411-422.

 

Wind,  Y.,  &  Saaty,  T.  L.  (1980).  Marketing  applications  of  the  analytic  hierarchy 

process. Management science, 26(7), 641-658.

 

Wirth, K., Malone, B., Turner, C., Schulze, R., Widmann, W., & Sanni, A. (2015). A structured 

teaching curriculum for medical students improves their performance on the National Board of 

Medical Examiners shelf examination in surgery. The American Journal of Surgery, 209(4), 765-770.

 

Worrachananun,  M.,  Yan,  F.,  &  Zhaoming,  B.  (2015).  A  qualitative  assessment  of 

student-centered  approach:  High-level  Question  Assessment  Method  among Chinese and Macanese 

Students in Macao. Paper presented at the Educational Innovation through Technology (EITT), 2015 

International Conference of.

 

Yildiz,  Z.,  &  Baba,  A.  F.  (2014).  Evaluation  of  student  performance  in  laboratory 

applications using fuzzy decision support system model. Paper presented at the Global Engineering 

Education Conference (EDUCON), 2014 IEEE.

 

Yoon,  K.  P.,  &  Hwang,  C.-L.  (1995).  Multiple  attribute  decision  making:  an introduction 

(Vol. 104): Sage publications.

 

Zaidan,  A.,  Karim,  H.  A.,  Ahmad,  N.,  Zaidan,  B.,  &  Kiah,  M.  M.  (2015).  Robust 

Pornography Classification Solving the Image Size Variation Problem Based on Multi-Agent  Learning. 

 Journal  of  Circuits,  Systems  and  Computers,  24(02), 1550023.

 

Zaidan, A., Zaidan, B., Al-Haiqi, A., Kiah, M. L. M., Hussain, M., & Abdulnabi, M. (2015). 

Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS. 

Journal of biomedical informatics, 53, 390- 404.

 

Zaidan, A., Zaidan, B., Hussain, M., Haiqi, A., Kiah, M. M., & Abdulnabi, M. (2015). Multi-criteria 

analysis for OS-EMR software selection problem: A comparative study. Decision Support Systems, 78, 

15-27.

 

Zasadny, M. F., & Bull, R. M. (2015). Assessing competence in undergraduate nursing students:  The  

Amalgamated  Students  Assessment  in  Practice  model.  Nurse

education in practice, 15(2), 126-133.

 

Zhang, L. N., & Yang, B. (2014). Research on the Evaluation of Students’ Development

Based on Support Vector Machine. Paper presented at the Applied Mechanics and Materials.

 

Zhou,  S.,  Han,  J.,  Koenig,  K.,  Raplinger,  A.,  Pi,  Y.,  Li,  D.,  .  .  .  Bao,  L.  

(2016). Assessment of scientific reasoning: The effects of task context, data, and design on 

student reasoning in control of variables. Thinking Skills and Creativity, 19, 175-187.

 

Zionts, S. (1979). MCDM-If not a Roman Numeral, then what? Interfaces, 9(4), 94- 101.

 

Zomorodi,  M.,  de  Saxe  Zerden,  L.,  Nance-Floyd,  B.,  Alexander,  L.,  Wilfert,  R.,  & 

Byerley, J. (2017). Impact of an interprofessional population health course and clinical  immersion 

 experience:  Students  and  practice  outcomes.  Journal  of

Interprofessional Education & Practice, 9, 91-94.