International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

line decor
  
line decor

 Volume 7, Issue 10 (October 2020), Pages: 95-101

----------------------------------------------

 Original Research Paper

 Title: Self-regulated learning with massive open online course (MOOC) for the fundamentals of data structure course: A descriptive analysis

 Author(s): Suraya Masrom 1, Siti Rozanae Ismail 1, *, Norazmi Anas 2, Abdullah Sani Abd Rahman 3

 Affiliation(s):

 1Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch, Tapah Campus, Malaysia
 2Academy of Contemporary Islamic Studies, Universiti Teknologi MARA, Perak Branch, Tapah Campus, Malaysia
 3Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, Perak, Malaysia

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-9513-5172

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2020.10.010

 Abstract:

Data structure is a foundation subject for computer science students in Malaysian universities. To fully grasp the subject, students are required to do a lot of exercises. Many students, however, are lacking the motivation to either carry out the exercises or to actively participate in the teaching and learning process. As a result, they find it difficult to internalize the concepts and master the programming skills. Consequently, students tend to perceive data structure as a difficult subject. The objective of this paper is to present the implementation of Massive Open Online Course (MOOC) in teaching the subject of Fundamentals of Data Structures. It was anticipated that the MOOC would facilitate the students in self-regulated learning (SRL), thus increasing their motivation and participation. The MOOC has been used by the Diploma of Computer Science students in Universiti Teknologi MARA, Perak Branch from September to December 2019. The students’ perception on MOOC and its effect to six SRL attributes has been collected through an online survey at the end of academic semester. The result was very encouraging as it shows that the MOOC has contributed positively to the students’ SRL notably in the area the self-defined goal setting, self-efficacy, self-interest and self-strategies. 

 © 2020 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: MOOC, Self-regulated learning, Data structure

 Article History: Received 9 December 2019, Received in revised form 1 May 2020, Accepted 5 June 2020

 Acknowledgment:

The study is fully sponsored by Universiti Teknologi MARA, Perak Branch.

 Compliance with ethical standards

 Conflict of interest: The authors declare that they have no conflict of interest.

 Citation:

 Masrom S, Ismail SR, and Anas N et al. (2020). Self-regulated learning with massive open online course (MOOC) for the fundamentals of data structure course: A descriptive analysis. International Journal of Advanced and Applied Sciences, 7(10): 95-101

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 

 Tables

 Table 1 

----------------------------------------------

 References (27)

  1. Abdullah J, Mohd-Isa WN, and Samsudin MA (2019). Virtual reality to improve group work skill and self-directed learning in problem-based learning narratives. Virtual Reality, 23(4): 461-471. https://doi.org/10.1007/s10055-019-00381-1   [Google Scholar]
  2. Budiman E, Dengen N, and Hairah U (2017). Mobile learning: visualization tools of data structures course to support learning students. In the 5th SEA-DR: South East Asia Development Research International Conference, Atlantis Press, Banjarmasin, Indonesia, 100: 407-411. https://doi.org/10.2991/seadric-17.2017.88   [Google Scholar]
  3. Chen Y and Zhang M (2017). MOOC student dropout: Pattern and prevention. In the ACM Turing 50th Celebration Conference-China, Association for Computing Machinery, Shanghai, China: 1-6. https://doi.org/10.1145/3063955.3063959   [Google Scholar]
  4. Dicheva D, Irwin K, and Dichev C (2019). OneUp: Engaging students in a gamified data structures course. In the 50th ACM Technical Symposium on Computer Science Education, Association for Computing Machinery, Minneapolis, USA: 386-392. https://doi.org/10.1145/3287324.3287480   [Google Scholar]
  5. Echeverry JJR, Rosales-Castro LF, Restrepo-Calle F, and González FA (2018). Self-regulated learning in a computer programming course. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 13(2): 75-83. https://doi.org/10.1109/RITA.2018.2831758   [Google Scholar]
  6. Fontana RP, Milligan C, Littlejohn A, and Margaryan A (2015). Measuring self‐regulated learning in the workplace. International Journal of Training and Development, 19(1): 32-52. https://doi.org/10.1111/ijtd.12046   [Google Scholar]
  7. Foroughi A (2019). Psycho-Social aspects of learning in MOOC courses. Journal of Management, 1(6): 26-42. https://doi.org/10.34038/jms.2019.06.001   [Google Scholar]
  8. Galles D (2011). Data structure visualizations. Available online at: https://bit.ly/30mP0Dv
  9. Gütl C, Rizzardini RH, Chang V, and Morales M (2014). Attrition in MOOC: Lessons learned from drop-out students. In the International workshop on learning technology for education in cloud, Springer, Santiago de Chile, Chile: 37-48. https://doi.org/10.1007/978-3-319-10671-7_4   [Google Scholar]
  10. Hooshyar D, Kori K, Pedaste M, and Bardone E (2019). The potential of open learner models to promote active thinking by enhancing self‐regulated learning in online higher education learning environments. British Journal of Educational Technology, 50(5): 2365-2386. https://doi.org/10.1111/bjet.12826   [Google Scholar]
  11. Jacqmin J (2019). Providing MOOCs: A FUN way to enroll students? Information Economics and Policy, 48: 32-39. https://doi.org/10.1016/j.infoecopol.2018.10.002   [Google Scholar]
  12. Johnson G and Davies S (2014). Self-regulated learning in digital environments: Theory, research, praxis. British Journal of Research, 1(2): 1-14.   [Google Scholar]
  13. Kizilcec RF, Pérez-Sanagustín M, and Maldonado JJ (2017). Self-regulated learning strategies predict learner behavior and goal attainment in massive open online courses. Computers and Education, 104: 18-33. https://doi.org/10.1016/j.compedu.2016.10.001   [Google Scholar]
  14. Lawrence R (2004). Teaching data structures using competitive games. IEEE Transactions on Education, 47(4): 459-466. https://doi.org/10.1109/TE.2004.825053   [Google Scholar]
  15. Lee D, Watson SL, and Watson WR (2019). Systematic literature review on self-regulated learning in massive open online courses. Australasian Journal of Educational Technology, 35: 1. http://orcid.org/0000-0003-1111-9691   [Google Scholar]
  16. Liu M, Zha S, and He W (2019). Digital transformation challenges: A case study regarding the MOOC development and operations at higher education institutions in China. TechTrends, 63(5): 621-630. https://doi.org/10.1007/s11528-019-00409-y   [Google Scholar]
  17. McPherson GE, Osborne MS, Evans P, and Miksza P (2019). Applying self-regulated learning microanalysis to study musicians’ practice. Psychology of Music, 47(1): 18-32. https://doi.org/10.1177/0305735617731614   [Google Scholar]
  18. Nguyen LT and Ikeda M (2015). The effects of ePortfolio-based learning model on student self-regulated learning. Active Learning in Higher Education, 16(3): 197-209. https://doi.org/10.1177/1469787415589532   [Google Scholar]
  19. Rai L and Chunrao D (2016). Influencing factors of success and failure in MOOC and general analysis of learner behavior. International Journal of Information and Education Technology, 6: 262-268. https://doi.org/10.7763/IJIET.2016.V6.697   [Google Scholar]
  20. Rutenbar RA (2014). The first eda MOOC: Teaching design automation to planet earth. In the 51st Annual Design Automation Conference, Association for Computing Machinery, San Francisco, USA: 1-6. https://doi.org/10.1145/2593069.2593230   [Google Scholar]
  21. Schunk DH and Zimmerman BJ (2012). Motivation and self-regulated learning: Theory, research, and applications. Routledge, Abingdon, USA. https://doi.org/10.4324/9780203831076   [Google Scholar]
  22. Wong J, Baars M, Davis D, Van Der Zee T, Houben GJ, and Paas F (2019). Supporting self-regulated learning in online learning environments and MOOCs: A systematic review. International Journal of Human–Computer Interaction, 35(4-5): 356-373. https://doi.org/10.1080/10447318.2018.1543084   [Google Scholar]
  23. Wu WH, Kao HY, Wu SH, and Wei CW (2019). Development and evaluation of affective domain using student's feedback in entrepreneurial MOOC courses. Frontiers in Psychology, 10: 1109. https://doi.org/10.3389/fpsyg.2019.01109   [Google Scholar] PMid:31178782 PMCid:PMC6542944
  24. Yen CJ, Bozkurt A, Tu CH, Sujo-Montes L, Rodas C, Harati H, and Lockwood AB (2019). A predictive study of students’ self-regulated learning skills and their roles in the social network interaction of online discussion board. Journal of Educational Technology Development and Exchange, 11(1): 2. https://doi.org/10.18785/jetde.1101.02   [Google Scholar]
  25. Zalli MMM, Nordin H, and Hashim RA (2019). The role of self-regulated learning strategies on learners’ satisfaction in massive open online course (MOOC): Evidence from Malaysia MOOC. International Journal of Innovative Technology and Exploring Engineering, 8(10): 2286–2290. https://doi.org/10.35940/ijitee.J1138.0881019   [Google Scholar]
  26. Zhang Q, Bonafini FC, Lockee BB, Jablokow KW, and Hu X (2019). Exploring demographics and students’ motivation as predictors of completion of a massive open online course. International Review of Research in Open and Distributed Learning, 20: 2. https://doi.org/10.19173/irrodl.v20i2.3730   [Google Scholar]
  27. Zimmerman BJ and Kitsantas A (2005). The hidden dimension of personal competence: Self-regulated learning and practice. In: Elliot AJ and Dweck CS (Eds.), Handbook of competence and motivation: 509–526. Guilford Publications, New York, USA.   [Google Scholar]