Abstract
The smart learning environment is a technology-supported learning environment that is enriched with digital resources, context-aware and adaptive devices, and can provide appropriate support to meet the learning style and abilities of diverse students to promote better and enhances learning process in higher education. It is a student-centered learning environment that has the capacity to engage students and offers an effective learning process. It is characterized by the ability to provide interactions between students and facilitators, and personalized and inclusive learning experiences to anyone, anytime and anywhere using smart mobile devices. However, despite the increasing use of smart learning environment in higher education, there is no well-defined model with a set of educational requirements for developing and evaluating self-regulated smart learning environment which considers both instructional and evaluation design. Therefore, this article explores instructional design and learning evaluation process to propose a new set of educational requirements referred to as smart learning environment pedagogical and educational requirements model (SLE-PERM) for developing and evaluating self-regulated smart learning environment. Next, the article presents the application of the educational requirements on three common learning management system (LMS) namely: Moodle, Blackboard and Schoology which can be used to evaluate the suitability of LMS to guide stakeholders on the critical issues that require pedagogical and educational requirements for developing a self-regulated smart learning environment in higher education.
| Original language | English |
|---|---|
| Title of host publication | IEEE Global Engineering Education Conference (EDUCON) |
| Place of Publication | Dubai, UAE |
| Publisher | IEEE Conference Publications |
| Pages | 990-994 |
| Number of pages | 5 |
| Edition | 2019 |
| ISBN (Electronic) | 9781538695067 |
| ISBN (Print) | 9781538695074 |
| DOIs | |
| Publication status | Published - 30 May 2019 |
Publication series
| Name | IEEE Conference Proceedings |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2165-9559 |
| ISSN (Electronic) | 2165-9567 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
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Evaluating students’ experiences in self-regulated smart learning environment
Gambo, Y. & Shakir, M. Z., 4 Jul 2022, In: Education and Information Technologies. 28, 1, p. 547-580 34 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Link opens in a new tab Citations (Scopus)63 Downloads (Pure) -
Students’ readiness for self-regulated smart learning environment
Gambo, Y. & Shakir, M. Z., 27 Jun 2022, In: International Journal of Technology in Education and Science. 6, 2, p. 306-322 17 p.Research output: Contribution to journal › Article › peer-review
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An Artificial Neural Network (ANN)-based learning agent for classifying learning styles in self-regulated smart learning environment
Gambo, Y. & Shakir, M. Z., 20 Sept 2021, In: International Journal of Emerging Technologies in Learning. 16, 18, p. 185-199 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Link opens in a new tab Citations (Scopus)55 Downloads (Pure)
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