New development and evaluation model for self-regulated smart learning environment in higher education

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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 languageEnglish
Title of host publicationIEEE Global Engineering Education Conference (EDUCON)
Place of PublicationDubai, UAE
PublisherIEEE Conference Publications
Pages990-994
Number of pages5
Edition2019
ISBN (Electronic)9781538695067
ISBN (Print)9781538695074
DOIs
Publication statusPublished - 30 May 2019

Publication series

NameIEEE Conference Proceedings
PublisherIEEE
ISSN (Print)2165-9559
ISSN (Electronic)2165-9567

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learning environment
evaluation
education
learning
learning process
student
ability
management
stakeholder
interaction
resources
experience

Cite this

Gambo, Y., & Shakir, M. Z. (2019). New development and evaluation model for self-regulated smart learning environment in higher education. In IEEE Global Engineering Education Conference (EDUCON) (2019 ed., pp. 990-994). (IEEE Conference Proceedings). Dubai, UAE: IEEE Conference Publications. https://doi.org/10.1109/EDUCON.2019.8725268
Gambo, Yusufu ; Shakir, Muhammad Zeeshan. / New development and evaluation model for self-regulated smart learning environment in higher education. IEEE Global Engineering Education Conference (EDUCON). 2019. ed. Dubai, UAE : IEEE Conference Publications, 2019. pp. 990-994 (IEEE Conference Proceedings).
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Gambo, Y & Shakir, MZ 2019, New development and evaluation model for self-regulated smart learning environment in higher education. in IEEE Global Engineering Education Conference (EDUCON). 2019 edn, IEEE Conference Proceedings, IEEE Conference Publications, Dubai, UAE, pp. 990-994. https://doi.org/10.1109/EDUCON.2019.8725268

New development and evaluation model for self-regulated smart learning environment in higher education. / Gambo, Yusufu; Shakir, Muhammad Zeeshan.

IEEE Global Engineering Education Conference (EDUCON). 2019. ed. Dubai, UAE : IEEE Conference Publications, 2019. p. 990-994 (IEEE Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Gambo Y, Shakir MZ. New development and evaluation model for self-regulated smart learning environment in higher education. In IEEE Global Engineering Education Conference (EDUCON). 2019 ed. Dubai, UAE: IEEE Conference Publications. 2019. p. 990-994. (IEEE Conference Proceedings). https://doi.org/10.1109/EDUCON.2019.8725268