A Framework for a Heuristic Approach to Evaluating and Assessing Adaptive Hypermedia Learning Systems

dc.contributor.authorLukusa, Jean-Pierre Kabeya
dc.date.accessioned2026-09-14T16:36:30Z
dc.date.issued2015-06-06
dc.description.abstractThis article provides a holistic view of e-Learning as a by-product of Adaptive Hypermedia Learning Systems (i.e. AHLS). It aims at proposing a generic framework for evaluating and assessing AHLS. While many of the existing assessment and evaluation instruments yield useful findings (1), most of them seem to be revolving around one key problem – with so many variables that can potentially be considered of impact to the quality of these instruments, how do we re-adapt the assessment and evaluation instruments to produce results that are relevant to our learners’ ethnographic background1, pedagogical paradigm2, and the actual AHLS. It was also found that many authors choose to disregard (i.e. consciously or otherwise) some variables (2). This practice needs to be discouraged as it not only results in constraining findings but also distorts analysis of the flaws (and strengths) in current AHLS deployments. The proposed framework is designed on a premise that considers a number of studies namely; the E-VAL project models - considering factors from ethnographic, pedagogical, and applicable AHLS; and the Learning Object Review Instrument (LORI) – considering the nine dimensions of quality (3).en_US
dc.identifier.citationLukusa, J. P. K. (2015). A Framework for a Heuristic Approach To Evaluating and Assessing Adaptive Hypermedia Learning Systems. International Journal of Current Research and Review, 7(14), 61.en_US
dc.identifier.urihttps://repository.bothouniversity.ac.bw/handle/123456789/168
dc.language.isoenen_US
dc.publisherInternational Journal of Current Research and Review,en_US
dc.subjectEthnographic research methods,en_US
dc.subjectPedagogical paradigmen_US
dc.subjectHeuristic approachen_US
dc.subjecte-Learning assessmenten_US
dc.subjectEvaluation frameworken_US
dc.titleA Framework for a Heuristic Approach to Evaluating and Assessing Adaptive Hypermedia Learning Systemsen_US
dc.typeArticleen_US

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