UPSI Digital Repository (UDRep)
Start | FAQ | About

QR Code Link :

Type :article
Subject :T Technology (General)
ISSN :2089-4872
Main Author :Bahbibi Rahmatullah
Title :A general framework for selecting appropriate criteria of student as research assistant using fuzzy delphi method
Place of Production :Tanjong Malim
Publisher :Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :2021
Corporate Name :Universiti Pendidikan Sultan Idris
PDF Full Text :Login required to access this item.

Abstract : Universiti Pendidikan Sultan Idris
This research aims to build a general framework for choosing the most appropriate set of criteria for recruiting student as a research assistant in a university research project. University researchers could benefit from such a framework because it could optimize the costs of research while also enhancing students research skills. In the same time, it is also essential that the quality of research ought to measure up to the grants provided by the university. Nevertheless, it is a challenging problem for many research supervisors in the selection of qualified research assistants. In this paper, we attempted to resolve this problem by building a general framework for selecting the appropriate criteria in the evaluation of student performance. We explored earlier studies on the proposed evaluation criteria of the research assistant and identified 47 most impactful criteria criteria. We obtained experts in engineering and information technology fields from two universities to answer questionnaires to identify their commonly used criteria for grant research assistant (GRA). Then, all the identified criteria were evaluated using the fuzzy delphi method (FDM) for finding the best fitting criteria which resulted in 16 most impactful criteria. © 2021, Institute of Advanced Engineering and Science.

References

Aghajani Mir, M., Taherei Ghazvinei, P., Sulaiman, N. M. N., Basri, N. E. A., Saheri, S., Mahmood, N. Z., . . . Aghamohammadi, N. (2016). Application of TOPSIS and VIKOR improved versions in a multi criteria decision analysis to develop an optimized municipal solid waste management model. Journal of Environmental Management, 166, 109-115. doi:10.1016/j.jenvman.2015.09.028

Allison, B., O'Sullivan, T., Owen, A., Rice, J., Rothwell, A., & Saunders, C. (1996). Research Skills for Students, Retrieved from www.scopus.com

Bauer, K. W., & Bennett, J. S. (2003). Alumni perceptions used to assess undergraduate research experience. Journal of Higher Education, 74(2), 210-230. doi:10.1080/00221546.2003.11777197

Etzkowitz, H. (2003). Research groups as 'quasi-firms': The invention of the entrepreneurial university. Research Policy, 32(1), 109-121. doi:10.1016/S0048-7333(02)00009-4

Etzkowitz, H., Ranga, M., & Dzisah, J. (2012). Whither the university? the novum trivium and the transition from industrial to knowledge society. Social Science Information, 51(2), 143-164. doi:10.1177/0539018412437099

Feldon, D. F., Peugh, J., Timmerman, B. E., Maher, M. A., Hurst, M., Strickland, D., . . . Stiegelmeyer, C. (2011). Graduate students' teaching experiences improve their methodological research skills. Science, 333(6045), 1037-1039. doi:10.1126/science.1204109

Haslina, H., Bahbibi, R., & Norhisham, M. N. (2014). Towards school management system (SMS) success in teacher's perception. Malaysian Online Journal of Educational Technology, 2(4), 50-60. Retrieved from www.scopus.com

Hsu, H. -., & Chen, C. -. (1996). Aggregation of fuzzy opinions under group decision making. Fuzzy Sets and Systems, 79(3), 279-285. doi:10.1016/0165-0114(95)00185-9

Kable, A. K., Arthur, C., Levett-Jones, T., & Reid-Searl, K. (2013). Student evaluation of simulation in undergraduate nursing programs in australia using quality indicators. Nursing and Health Sciences, 15(2), 235-243. doi:10.1111/nhs.12025

Kardash, C. M. (2000). Evaluation of an undergraduate research experience: Perceptions of undergraduate interns and their faculty mentors. Journal of Educational Psychology, 92(1), 191-201. doi:10.1037/0022-0663.92.1.191

Lambovska, M. R. (2018). Control on teams: A model and empirical evidence from bulgaria. Serbian Journal of Management, 13(2), 311-322. doi:10.5937/sjm13-14633

Lin, C. (2013). Application of fuzzy delphi method (FDM) and fuzzy analytic hierarchy process (FAHP) to criteria weights for fashion design scheme evaluation. International Journal of Clothing Science and Technology, 25(3), 171-183. doi:10.1108/09556221311300192

Liu, Y., Eckert, C. M., & Earl, C. (2020). A review of fuzzy AHP methods for decision-making with subjective judgements. Expert Systems with Applications, 161 doi:10.1016/j.eswa.2020.113738

Lopatto, D. (2004). Survey of undergraduate research experiences (SURE): First findings. Cell Biology Education, 3(4), 270-277. doi:10.1187/cbe.04-07-0045

Lopatto, D. (2007). Undergraduate research experiences support science career decisions and active learning. CBE Life Sciences Education, 6(4), 297-306. doi:10.1187/cbe.07-06-0039

Manoliadis, O., Tsolas, I., & Nakou, A. (2006). Sustainable construction and drivers of change in greece: A delphi study. Construction Management and Economics, 24(2), 113-120. doi:10.1080/01446190500204804

Mohamad, S. N. A., Embi, M. A., & Nordin, N. (2015). Determining e-portfolio elements in learning process using fuzzy delphi analysis. International Education Studies, 8(9), 171-176. Retrieved from www.scopus.com

Name, A. A. A. R., Embi, M. A., Hussin, S., Noor, N. M., Khamis, N. Y., & Din, R. (2019). Fuzzy delphi method refinement of mobile language learning framework elements for technical and engineering contexts. Paper presented at the Proceedings of the 2018 IEEE 10th International Conference on Engineering Education, ICEED 2018, 173-175. doi:10.1109/ICEED.2018.8626905 Retrieved from www.scopus.com

Rahmatullah, B., & Besar, R. (2009). Analysis of semi-automated method for femur length measurement from foetal ultrasound. Journal of Medical Engineering and Technology, 33(6), 417-425. doi:10.1080/03091900802451232

Rahmatullah, B., & Noble, J. A. (2014). Anatomical object detection in fetal ultrasound: Computer-expert agreements doi:10.1007/978-3-642-54121-6_18 Retrieved from www.scopus.com

Rahmatullah, B., Sarris, I., Noble, J. A., & Papageorghiou, A. T. (2012). Automated standard plane selection from fetal abdominal ultrasound volumes using a machine learning algorithm. Abstracts of the 22nd World Congress on Ultrasound in Obstetrics and Gynecology, , 134-135. Retrieved from www.scopus.com

Tamrin, K. F., Rahmatullah, B., & Samuri, S. M. (2015). An experimental investigation of three-dimensional particle aggregation using digital holographic microscopy. Optics and Lasers in Engineering, 68, 93-103. doi:10.1016/j.optlaseng.2014.12.011

Tarmudi, Z., Anas Muhiddin, F., Rossdy, M., & Tamsin, N. W. D. (2016). Fuzzy delphi method for evaluating effective teachong based on students' perspective. E-Academia Journal UiTM, 5(1), 1-10. Retrieved from www.scopus.com

Taylan, O., Bafail, A. O., Abdulaal, R. M. S., & Kabli, M. R. (2014). Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies. Applied Soft Computing Journal, 17, 105-116. doi:10.1016/j.asoc.2014.01.003

Yorke, M. (2003). Formative assessment in higher education: Moves towards theory and the enhancement of pedagogic practice. Higher Education, 45(4), 477-501. doi:10.1023/A:1023967026413


This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials.
You may use the digitized material for private study, scholarship, or research.

Back to previous page

Installed and configured by Bahagian Automasi, Perpustakaan Tuanku Bainun, Universiti Pendidikan Sultan Idris
If you have enquiries with this repository, kindly contact us at pustakasys@upsi.edu.my or Whatsapp +60163630263 (Office hours only)