Evaluation of usability and user experience of an m-learning environment, custom-designed for a tertiary educational context

Undergraduate software engineering learners demonstrate a lack of motivation with face-to-face classroom education. Limited access to the Internet via PCs and laptops, hinders effective communication and collaboration. However, the majority of learners enrolled for studies in tertiary education, have cellphones and are proficient in the use of digital technology. A technology-enhanced m-learning solution is indicated. This research project evaluates the usability and user experience of an m-learning environment, custom-designed for a tertiary educational context and delivered by mobile handheld devices, features a synthesized framework of categories and criteria, and determines the nature and scope of an emergent digital divide. A design-based research model suited to the context of the study is implemented, gathering quantitative and qualitative data from experts and learners by survey questionnaires. Analysis of data highlights usability and UX problems, provides insight into an emergent digital divide and suggests guidelines specific to the design of m-learning implementations.Educational StudiesM. Sc. (Information Systems

MUUX-E, a framework of criteria for evaluating the usability, user experience and educational features of m-learning environments

Higher education students use mobile phones, equipped for Internet access. Mobile technologies can offer effective, satisfying and accessible m-learning experiences. A contribution has been made to knowledge on evaluating m-learning environments and to mobile human-computer interaction (MHCI), with the innovative synthesis of the MUUX-E Framework, which fills a gap in the domain of m-learning. MUUX-E is a single comprehensive, multi-faceted instrument for evaluating m-learning environments, emphasising usability and user experience in mobile educational contexts. It was developed by extensive literature studies on each aspect, and has five categories, 31 criteria and numerous sub-criteria. Using a design-based research paradigm, MUUX-E was applied iteratively to evaluate and enhance successive versions of m-LR, a mobile application created for a Software Engineering module. Participants were students and expert evaluators. MUUX-E served well to identify problems and strengths. The students were more positive than the experts regarding the benefits of m-LR, yet insightfully reported more system problems