Advances in E-Pedagogy for Online Instruction: Proven Learning Analytics Rasch Item Response Theory

dc.contributor.authorMcKay, Elspeth
dc.contributor.authorBarefah, Allaa
dc.contributor.authorMohamad, Marlina
dc.contributor.authorBakkar, Mahmoud N
dc.date.accessioned2024-11-08T07:25:38Z
dc.date.available2024-11-08T07:25:38Z
dc.date.issued2019
dc.descriptionUnderstanding the effects of instructional strategies on learning outcomes has been a continual topic of interest among educational technology researchers (McKay, 2018); (Merrill, Barclay, & Van-Schaak, 2016);(Cooper-Smith & McKay, 2015);(Minor, 2014);(Parker, 2004).
dc.description.abstractMany people are finding it relatively easy to engage with courseware development and simply upload it to the internet. The trouble with this approach is there are no quality controls to ensure the impending instructional strategies are designed well. This chapter presents a set of research projects that incrementally focus on instructional strategies as they apply in today’s information communications technology (ICT) tools. They commence with a simple investigation into online courseware matching cognitive preferences. Next, a project extends this principle and takes the research to a government-training context to concentrate on dealing with a broader range of stakeholders to customize training for a user-centered environment. Then the authors present a project designed for mobile healthcare training on an iPad. The final research project synthesizes the current instructional systems design (ISD) thinking to promote a prescriptive information systems (IS)-design model for educational courseware, offering it to the IS Keywords: Advances, E-Pedagogy, Online Instruction, Analytics, Rasch
dc.identifier.citationRasch, P. L. A. (2019). Advances in E-Pedagogy for Online Instruction.
dc.identifier.doihttps://doi.org/10.4018/978-1-5225-5715-9.ch003
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/6954
dc.language.isoen
dc.publisherIGI Global
dc.titleAdvances in E-Pedagogy for Online Instruction: Proven Learning Analytics Rasch Item Response Theory
dc.typeBook chapter

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