An evaluation framework for microlearning tools for designing and delivering microlearning content

Abstract

The growing significance of microlearning in the context of digital education, higher education and lifelong learning makes it an interesting field for research. Microlearning can be described as learning through small chunks of learning activities which are designed to be concise and focused. In the studied literature, microlearning content development and the content delivery system were the topics most often researched. The main findings include the potential of microlearning tools to provide an adaptive and personalized learning experience using educational data mining techniques and building learner models. In addition, context awareness provides the potential to take contextual factors into account like location and distraction levels of the learner to enhancing focussed microlearning. Current literature focuses on features and design principles of microlearning tools rather then evaluation criteria making it difficult to adequately assess these tools. Building on the current literature focus on features and design principles together with identifying potentials and shortcomings of current microlearning tools, this research paper aims to conceptualize an evaluation framework for microlearning tools based on core criteria in the context of digitalization and higher education.