UPSI Digital Repository (UDRep)
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Abstract : Universiti Pendidikan Sultan Idris |
Economics students are facing problem to think critically and participate effectively in the
collaborative learning context. Developing mobile cartoons that are related to students’ daily life
and address aspects of thinking can help improve students’ critical thinking. The aim of this study
is to develop a structural model for promoting economics students’ critical thinking. This new
model is based on Vygotsky’s (1997) Zone of Proximal Development (ZPD) theory and
Multimedia Learning Theory (Mayer, 2014). This study employed the quantitative research
method. Phase one involved the developing of the model. In phase two, survey design was
employed. A total of 293 economics students from two public universities were selected as
samples. The findings from the Exploratory Factor Analysis retained six factors; which were
conceptual understanding, analyse the problem, analytical, decision making, creativity and
organize. Confirmatory Factor Analysis was employed and indicated good fit to the model. This
study employed SEM to validate a structural model for Mobile Cartoons and this model can be
used for future research. The findings from this study may assist lecturers and students to promote
critical thinking. Future mobile cartoons research could focus on developing the application to
enhance critical thinking with a larger sample. |
References |
Ali Gunay, B., Didem, I. E., & Erkan, O. (2016). Concept cartoons supported problem based learning method in middle school science classrooms. Journal of Education and Learning; 5(2), 272-284.
Chin, C., & Teou, L. Y. (2010). Formative assessment: Using concept cartoon, pupils’ drawings, and group discussions to tackle children’s ideas about biological inheritance. Journal of Biological Education, 44(3), 108-115.
Fagan, M. H. (2019). Factors influencing student acceptance of mobile learning in higher education. Computers in the Schools, 36 (2), 105-121.
Fradkin, C. (2018). The use of cartoon illustration for the assessment of social science concepts. Visual Communication, 0(0), 1-8.
Hair, J. F. Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (2006). Multivariate data analysis (5th ed.). New Jersey: Prentice Hall.
Heijlities, Van Grog, Leppoink & Pass. (2014). Improving critical thinking: effects of dispositions and instructions on economics students’ reasoning skills. Learning and Instruction, 29, 31-42.
International Data Corporation (IDC). (2014). Worldwide smartphone shipments top one billion units for the first time. [Online]. [Accessed 18 July, 2014]. Available at:http://www.idc.com/getdoc
Jahnke, I., & Liebscher, J. (2013). Towards a didactical design using mobile devices to encourage creativity. In Enhancing Learning in the Social Sciences, 5(1), 51-64.
Kafyulilo, A. (2014). Access, use and perceptions of teachers and students towards mobile phones as a tool for teaching and learning in Tanzania. Education and Information Technologies, 19 (1),115-127.
Khoo, Y. Y., Khuan, W. B. & Zainizam, Z. (2016). peer learning with concept cartoons mediated computer in secondary school Economics. International Journal of Business and Social Science, 7(12), 93-103.
Kuhn, C., Troitschanskaia, O. Z, Brucker, S., & Saas, H. (2018). A new video-based tool to enhance teaching economics. Instructional Review of Economics Education, 27, 24-33.
Lin Y.H., et. al (2015) Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App). Journal Psychiatric Res, 65, 139–145 Malaysian Communication Multimedia Commission. (2012). Hand phone users survey. Selangor: Cyberjaya.
Mayer, R. (2014). The Cambridge handbook of multimedia learning (2nd ed.). Cambridge University Press.
Mtega, W. P., Bernard,R., Msungu, A.C., & Semara, R. (2012). Using mobile phones for teaching and learning purposes in higher learning institutions: The case of Sokoine University of Agriculture in Tanzania. Proceedings and Report of the 5th Ubuntunet Alliance Annual Conference, 118-129.
Sekaran, U., & Bougie, R. (2010). Research methods for business: A skill-building approach (5th ed.). Haddington: John Wiley & Sons.
Switch, A. (2010). Mobile Access 2010. Pew Internet and American Life Project. SA:Washington.
Turan, B. (2014). Smart board in mathematics education, the use of cartoon characters impact on student success. Procedia-Social and Behaviour Sciences, 143, 809-815.
Vygotsky, Lev. S. (1997). The collected works of L.S. Vygotsky. In R.W. Riceber & A.S. Carton (Eds.), Translated by N. Minick. New York: Plenum.
Wong, K. T., Abdullah, N., Abas, N. A. H. (2019). Blended learning pedagogical practices: The challenges to cultivate new ways of teaching in higher education institutions and universities. International Journal of Engineering and Advanced Technology, 9(1), 4178-4184.
Wu, D., Xing, D., & Lu, C. (2019). The effects of learner factors on higher‑order thinking in the smart classroom environment. Journal Computer Education, 6(4), 483-498.
Yeop, M. A., Yaakub, M. F. M., Wong, K. T., Don, Y. & Zon, F. M. (2019). Implementation of ICT policy (blended learning approach): Investigating factors of behavioural intention and use behaviour. International Journal of Instruction, 12(1), 767, 782
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