Personalised Learning Object System Based on Self-Regulated Learning Theories

Authors

  • Ali Alharbi The University of Newcastle
  • Frans Henskens The University of Newcastle
  • Michael Hannaford The University of Newcastle

DOI:

https://doi.org/10.3991/ijep.v4i3.3348

Keywords:

Self-regulated learning, computer science education, learning styles, learning objects

Abstract


Self-regulated learning has become an important construct in education research in the last few years. Selfregulated learning in its simple form is the learner’s ability to monitor and control the learning process. There is increasing research in the literature on how to support students become more self-regulated learners. However, the advancement in the information technology has led to paradigm changes in the design and development of educational content. The concept of learning object instructional technology has emerged as a result of this shift in educational technology paradigms. This paper presents the results of a study that investigated the potential educational effectiveness of a pedagogical framework based on the self-regulated learning theories to support the design of learning object systems to help computer science students. A prototype learning object system was developed based on the contemporary research on self-regulated learning. The system was educationally evaluated in a quasi-experimental study over two semesters in a core programming languages concepts course. The evaluation revealed that a learning object system that takes into consideration contemporary research on self-regulated learning can be an effective learning environment to support computer science education.

Author Biographies

Ali Alharbi, The University of Newcastle

School of Electrical Engineering and Computer Science

Frans Henskens, The University of Newcastle

An associate professor at the School of Electrical Engineering and Computer Science

Michael Hannaford, The University of Newcastle

A senior lecturer at the School of Electrical Engineering and Computer Science

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Published

2014-06-12

How to Cite

Alharbi, A., Henskens, F., & Hannaford, M. (2014). Personalised Learning Object System Based on Self-Regulated Learning Theories. International Journal of Engineering Pedagogy (iJEP), 4(3), pp. 24–35. https://doi.org/10.3991/ijep.v4i3.3348

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Section

Papers