Mileidy Alvarez Melgarejo, Aura C. Pedraza Avella, Martha L. Torres Barreto
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引用次数: 0
Abstract
MOTIVATIC WEB is a software platform in which teachers can co-design activities for their students using three different gamified mechanics. This article presents the results of the technology acceptance evaluation by users. The evaluation considered aspects related to perceived usefulness (PU) and ease of use, behavioural intention to use, and external variables related to user experience, functionality, and web platform visual aesthetics (VA), aspects adapted from the TAM model. A qualitative analysis instrument was applied to 21 higher education professors from five different countries, experts in the areas of economic and administrative sciences, industrial engineering, basic sciences and medical sciences. The results indicate that the PU and ease of use of the software are related to the intention to use it. It shows that the software is efficient as an educational support resource, allowing the design of certain mechanics for students as well as communication and collaboration among teachers.
期刊介绍:
IJLT is an international, refereed, scholarly journal providing an interdisciplinary forum for the presentation and discussion of important ideas, concepts, and exemplars that can deeply influence the role of learning technologies in learning and instruction. This unique and dynamic journal focuses on the epistemological thrust of learning vis-à-vis instruction and the technologies and tools that support the process. IJLT publishes papers related to theoretical foundations, design and implementation, and effectiveness and impact issues related to learning technologies. Topics covered include: -Communities of learners (practice), computer-mediated communication -[Social] constructivism, computer-supported collaborative learning -Cognitive tools, intelligent agents, semantic web -Distributed/intelligent learning/tutoring, multimedia/interactive learning environments -Virtual reality environments, human-computer interface issues -Learning objects for personalised learning, building learning communities -Technology-facilitated learning in complex domains -Learning technology systems'' evaluation, technological standardisation -Simulation-supported learning/instruction -Learning technology in education and commerce -Disciplinary-related inquiry, e.g., learning technologies for science inquiry -MOOCs, social media and cloud computing in e-learning -Data analytics and big data in education -E-learning evaluation and content; e-portfolios -Smart education; internet of things/technology adoption and diffusion for learning