Development and implementation of motivated strategies for a learning thinking maps tool among computing students

Authors

  • Nurul Nadia Hassan Universiti Pendidikan Sultan Idris
  • Siti Salbiah Hamzah UiTM Kuala Terengganu
  • Che Soh Said Universiti Pendidikan Sultan Idris
  • Muhammad Zaffwan Idris Universiti Pendidikan Sultan Idris
  • Nor Azman Ismail Universiti Teknologi Malaysia

DOI:

https://doi.org/10.37134/jictie.vol9.2.8.2022

Keywords:

motivated strategies for learning, metacognitive awareness, thinking maps, computing students, instructional tool

Abstract

This study emphasized the challenges in teaching and learning fundamentals of programming as a consequence of the lack of metacognitive awareness, which is associated with problem-solving abilities. These abilities can be enhanced through the use of thinking maps, but they are typically used only in school and under the supervision of a teacher. Additionally, the practice is conducted in a typical manner, with no interesting features incorporated into the process, and it does not promote the development of metacognitive awareness. Therefore, the purpose of this study is to produce a learning tool to train computing students using thinking maps in the multimedia environment to enhance their metacognitive awareness. The developed tool called Motivated Strategies Thinking Maps Tool (MoSTMaT) embeds multimedia principles as well as motivated strategies for learning theory to keep students motivated and able to learn in the self-regulated learning environment. The tool was developed using ADDIE instructional design model and was evaluated by the end user namely computing students. A set of questionnaires containing three parts was applied to measure the acceptance of students; 1) multimedia principles, 2) post-study system usability, and 3) motivated strategies for learning was applied to measure the acceptance of students. The result of this study indicated that students agreed that the multimedia application in the tool is suited for students’ usage, has adequate information on thinking maps, a user-friendly interface, and is suitable to be used in the self-regulated mood.  The implication of this study is the conceptual framework for developing MoSTMaT can be a guide for developing instructional tools in self-regulated learning. Furthermore, this study demonstrated that multimedia principles and elements had a beneficial impact on motivation and self-regulation among computing students.

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References

Abdullah, A.S., Rosli, S., Noor, A.M., Yazid, M, R.M., Yusoff, N.I.M., Borhan, M.N., & ishak, A. (2021). Interaktif multimedia “e-LABS” untuk makmal kejuruteraan, Journal of ICT in Education, 8(4), 13-21. https://doi.org/10.37134/jictie.vol8.sp.2.2.2021

Abesadze, S, Nozadze, D. (2020). Make 21st Century Education: The Importance of Teaching Programming in Schools. International Journal of Learning and Teaching, 6(3).

Adesola, A.S., & Li, Yongmin (2018). The relationship between self-regulation, self-efficacy, test anxiety and motivation. International Journal of Information and Education Technology, Vol. 8, No. 10, October 2018.

Alemdag, E., Cagiltay, K. (2018). A systematic review of eye tracking research on multimedia learning. Comput. Educ. 125, 413-428.

Ambrosio, P. A., Almeida, da Silva, L., Macedo, J., Franco, A., (2014). Exploring core cognitive skills of computational thinking. www.ppig.org.

Antonietti Alessandro, Barbara Colombo & Chiara Di Nuzzo (2015). Metacognition in self-regulated multimedia learning: integrating behavioural, psychophysiological and introspective measures, Learning, Media and Technology, Volume 40, 2015- Issue 2: Neuroscience and Education

Antonietti, A., and B. Colombo. (2014). “Learning from Multimedia Artifacts: The Role of Metacognition.” In Reflective Thinking in Educational Settings: A Cultural Framework, edited by A. Antonietti, E. Confalonieri, and A. Marchetti, 55–101. New York: Cambridge University Press

Agarwal, P. K., Nunes, L. D., & Blunt, J. R. (2021). Retrieval practice consistently benefits student learning: A systematic review of applied research in schools and classrooms. Educational Psychology Review, 33(4), 1409–1453. https://doi.org/10.1007/s10648-021-09595-9

Caliskan, M., & Sunbul, A. (2011). The Effects of Learning Strategies Instruction on Metacognitive Knowledge, Using Metacognitive Skills and Academic Achievement (Primary Education Sixth Grade Turkish Course Sample). Educational Sciences: Theory and Practice, 11(1), 148-153

Che Soh Said (2012). Multimedia interaktif dengan perisian realiti maya dalam pembelajaran Biologi Sel. Disertasi Doktor Falsafah Tidak Diterbitkan. Universiti Sains Malaysia, Pulau Pinang.

Cho, Moon-Heum (2004). The Effects of Design Strategies for Promoting Students' Self-Regulated Learning Skills on Students' Self-Regulation and Achievements in Online Learning Environments. Association for Educational Communications and Technology, 27th, Chicago, IL, October 19-23

Cleary, T. J., & Zimmerman, B. J. (2004). Self-regulation empowerment program: A school-based program to enhance self-regulated and self-motivated cycles of student learning. Psychology In the Schools, 41(5), 537-550

Derus, MD. Siti Rosminah, Mohamad Ali, Ahmad Zamzuri.(2012). Difficulties in Learning Programming: Views of Students. 1st International Conference of Current Issues in Education, ICCIE2012. 10.13140/2.1.1055.7441

Domagk, S., et al. (2010). Interactivity in multimedia learning: An integrated model. Computers in Human Behavior, https://doi.org/10.1016/j.chb.2010.03.003

Flavell, J. (1979). Metacognition and cognitive monitoring: A new era of cognitive-developmental inquiry. American Psychologist, 34,906-911

Gbollie, C. & Keamu, P. H. (2017). Student Academic Performance: The Role of Motivation, Strategies, and Perceived Factors Hindering Liberian Junior and Senior High School Students Learning. Education Research International, Volume 2017, Article ID 1789084, 11 pages https://doi.org/10.1155/2017/1789084

Güner, P. & Erbay, H. N. (2021). Metacognitive skills and problem-solving. International Journal of Research in Education and Science (IJRES), 7(3), 715-734. https://doi.org/10.46328/ijres.1594

Hamiddin, H. & Saukah, A. (2020). Investigating metacognitive knowledge in reading comprehension: The case of Indonesian undergraduate students. Indonesian Journal of Applied Linguistics, 9, 608-615. https://doi.org/10.17509/ijalv9i3.23211

Hui, T., & Umar, I. (2011). Does a Combination of Metaphor and Pairing Activity Help Programming Performance of Students with Different Self-Regulated Learning Level? Turkish Online Journal of Educational Technology - TOJET, 10(4), 121-129.

Hyerle, D. (2011). Student successes with Thinking Maps, Second edition. Thousand Oaks: Corwin Press

Ishak, R., Wahi, M.K., & Azlan, N.N.N. (2021). Penggunaan video bagi meningkatkan minat dan kemahiran murid dalam subjek penyediaan dan pembuatan makanan KSSMPK. Journal of ICT in Education, 8(4), 104-112. https://doi.org/10.37134/jictie.vol8.sp.2.10.2021

Ismail, M. N., Ngah, N. A., & Umar, I. N. (2006). Instructional strategy in the teaching of computer programming: What exactly is the problem? Proceedings of the Malaysian Educational Technology Association (META) 19th Convention, 1, 267-273

Ismail, Mohd Nasir, Nor Azilah Ngah, & Irfan Naufal Umar (2010). The Effects of Mind Mapping with cooperative learning on programming performance, problem solving skill and metacognitive knowledge among computer science students. J. Educational Computing Research, 42(1) 35-61, 2010

Jiang, D., Renandya, W. A., & Zhang, L. J. (2017). Evaluating ELT multimedia courseware from the perspective of cognitive theory of multimedia learning. Computer Assisted Language Learning, 30(7), 726–744. doi:10.1080/09588221.2017.1359187

Kolencik, Patricia Liotta & Hillwig, Shelia A. (2011). Encouraging metacognition. Educational Psychology: Critical Pedagogical Perspectives. Vol. 12

Lawan, A. Abdulmalik & Abdi, Abdo & Abuhassan, Anas & Khalid, Mohammed. (2019). What is Difficult in Learning Programming Language Based on Problem-Solving Skills? 18-22. https://doi.org/10.1109/ICOASE.2019.8723740.

Lewis, James. (2002). Psychometric Evaluation of the PSSUQ Using Data from Five Years of Usability Studies. Int. J. Hum. Comput. Interaction. 14. 463-488. https://doi.org/10.1080/10447318.2002.9669130.

Malaysian Qualification Agency MQA, (2015). Programme standards: Computing Second Edition 2015. ISBN: 978-967-0996-01-1. Retrieved from https://www2.mqa.gov.my /qad/garispanduan /2017/PS%20Computing. %20upload%20website%2013.10.17.pdf

Mangaroska, K., Sharma, K., Gasevic, D., Giannakos, M. (2021). Exploring students’ cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity. Journal of Computer Assisted Learning. Wiley Online Library

Mayer, R. E. (2009). Multimedia learning (2nd Ed.). New York: Cambridge University Press.

Mayer, R. E (2010). Applying the science of learning to medical education. Medical Education.44:543-549.

Mayer, R. E. (2014). Incorporating motivation into multimedia learning. Learning and Instruction, 29, 171–173. https://doi.org/10.1016/j.learninstruc.2013.04.003

1016/j.learninstruc.2013.04.003

Mayer, E. Richard (2020). Multimedia Learning Third Edition. Cambridge University Press

McDowell, D. Linda (2019) The roles of motivation and metacognition in producing self-regulated learners of college physical science: a review of empirical studies, International Journal of Science Education, 41:17, 2524-2541, https://doi.org/10.1080/09500693.2019.1689584

Mitsea, Eleni & Drigas, Athanasios. (2019). A Journey into the Metacognitive Learning Strategies. International Journal of Online and Biomedical Engineering (iJOE). 15(4). https://doi.org/10.3991/ijoev15i14.11379.

Molenda, M. (2015). In Search of the Elusive ADDIE Model. Performance Improvement, 54(2), 40–42. doi:10.1002/pfi.21461

Moreno, R. (2005). “Instructional Technology: Promise and Pitfalls.” In Technology-based Education: Bringing Researchers and Practitioners Together, edited by L. Pytlik Zillig, M. Bodvarsson, and R. Bruning, 1–19. Greenwich, CT: Information Age.

Nelson, J. (2009). Celebrating Scratch in libraries: creation software helps young people develop 21st century literacy skills. Sch. Libr. J., pp. 20–21.

Novick, L. R. & Holyoak, K. J. (1991). Mathematical problem solving by analogy. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17(3), 398-415

Ormrod, E. J. (2016). Human Learning Seventh Edition. Pearson Education Inc.

Pang, K. (2010). Creating Stimulating Learning and Thinking Using New Models of Activity-Based Learning and Metacognitive-Based Activities. Journal of College Teaching & Learning, 7(4), 29-38

Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated

learning components of classroom academic performance. Journal of Educational Psychology, 82, 33–40.

Pintrich, P. R. (2002). The Role of Metacognitive Knowledge in Learning, Teaching, and Assessing. Theory Into Practice, 41(4), 220

Puspitarini, Y. D., & Hanif, M. (2019). Using Learning Media to Increase Learning Motivation in Elementary School. Anatolian Journal of Education, 4(2), 53-60. https://doi.org/10.29333/aje.2019.426a

Ministry of Education (2012). Preliminary Report Malaysia Education Blueprint 2013- 2025-Preschool to Post-Secondary Education. Retrieved from https://www.pmo.gov.my /wp-content/uploads/2019/07/Malaysia-Education-Blueprint-2013-2025.pdf

Rahmat, M., Shahrani, S., Latih, R., Yatim., N.F.M., Zainal, N.F.A.Z., Rahman, R.A., (2011). Major problems in basic programming that influence student performance. UKM Teaching and Learning Congress 2011

Robins, A. V. (2019) Novice programmers and introductory programming. In S. A. Fincher & A. V. Robins (Eds.) The Cambridge Handbook of Computing Education Research. Cambridge, UK: Cambridge University Press, 327 - 376

Robyler, M. D. (2006). Integrating educational technology into teaching. New Jersey: Merril Prentice Hall. (4th Edition)

Roeser, R. W., & Peck, S. C. (2009). An Education in Awareness: Self, Motivation, and Self-Regulated Learning in Contemplative Perspective. Educational Psychologist, 44(2), 119-136. https://doi.org/10.1080/00461520902832376

Rum, siti & Ismail, Maizatul (2016). Metacognitive assessment and introductory computer programming course achievement at university. The International Arab Journal of Information Technology, Vol. 13, No. 6

Schraw, G. and Dennison R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, vol. 19, pp. 460-475.

Schraw, G. and Moshman, D. (1995). Metacognitive Theories. Educational Psychology Review, 7(4), 351-371.

Schunk, D. H. (2005). Self-Regulated Learning: The Educational Legacy of Paul R. Pintrich. Educational Psychologist, 40(2), 85-94. https://doi.org/10.1207/s15326985ep4002_3

Schwonke, R., A. Ertelt, C. Otieno, A. Renkl, V. Aleven, and R. J. C. M. Salden. (2013). “Metacognitive Support Promotes an Effective Use of Instructional Resources in Intelligent Tutoring.” Learning and Instruction 23 (1): 136–150.

Sorden, S. D. (2013), ‘The cognitive theory of multimedia learning’. In Irby, B. J., Brown, G., Lara-Alecio, R. and Jackson, S. (Eds.) Handbook of Educational Theories. Charlotte, NC: Information Age Publishing.

Sweller, J., Mawer, R. F, & Ward, M. R. (1983). Development of expertise in mathematical problem solving. Journal of Experimental Psychology. II, 639-661

Toshalis, E., & Nakkula, M. J. (2012). Motivation, Engagement, and Student Voice. Education Digest: Essential Readings Condensed for Quick Review, 78(1), 29-35

Tseng, S., & Weng, J. (2010). Finding trustworthy experts to help problem solving on the programming learning forum. Interactive Learning Environments, 18(1), 81-99.

Wang, S., & Hsu, H. (2009). Using the ADDIE Model to Design Second Life Activities for Online Learners. Techtrends: Linking Research & Practice to Improve Learning, 53(6), 76-81. https://doi.org/10.1007/s11528-009-0347-x

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Published

2022-11-22

How to Cite

Hassan, N. N., Hamzah, S. S., Said, C. S., Idris, M. Z., & Ismail, N. A. (2022). Development and implementation of motivated strategies for a learning thinking maps tool among computing students. Journal of ICT in Education, 9(2), 103–122. https://doi.org/10.37134/jictie.vol9.2.8.2022