Grant: Engage Grants Program

With the constant rise of the use of technology in learning education, more and more students are relying onlearning software/systems to make use of open educational repositories or take part in massive open onlinecourses. Typically, in such systems, learners are exposed to an overload of information where they need to findinformation sources on their own. However, not all students are versed in information seeking/studying tactics,or have strong learning skills to build optimal learning paths. This brings attention to the great challenge ofproducing software platforms that facilitate learning for each and every learner by offering them a personalizedand optimized learning experience. Building on the principles of technology-enhanced learning, semantictechnologies and learning analytics, we will investigate and propose design principles and acceptance factorsfor optimizing personalized learning experience in adaptive online learning systems. In particular, theanticipated outcomes of this six-month industry collaboration project are as follows: 1) Principles for designingand configuration of personalized learning platforms; 2) A technology acceptance model for personalizedlearning platforms; and 3) Transfer of research results to the industry partner in order to validate and calibratetheir existing research and inform their future research and development activities.