Print Email Facebook Twitter Functionalities of Mobile Learning Apps and Potential for Data Integration in the Context of Higher Education: A Systematic Review Title Functionalities of Mobile Learning Apps and Potential for Data Integration in the Context of Higher Education: A Systematic Review Author Bērmans, Boriss (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Software Technology) Contributor Tan, E.B.K. (mentor) Specht, M.M. (mentor) Migut, M.A. (graduation committee) Degree granting institution Delft University of Technology Date 2021-07-01 Abstract The mobile device market has been steadily growing throughout the last two decades. Nowadays, most people own smartphones that support various applications. Many of these applications fall under the category of mobile learning. These apps have many exciting features which could potentially enhance the learning experience in higher education. If academic institutions decide to use such applications, they also need instructions on how to integrate these apps in a common learning portal, such as a learning management system. This research identifies six features of modern mobile learning applications - augmented reality, gamification, artificial intelligence, push notifications, personalization, and collaborative learning. Then, it describes them and their applicability in both educational and non-educational contexts, with the focus on higher education. Finally, two technologies, namely learning tools interoperability (LTI) and application programming interfaces (APIs), are presented for data and application integration. Subject Mobile applicationsMobile learningfeaturesData integrationFunctionalitiesAPIInteroperabilitySystematic Literature Review To reference this document use: http://resolver.tudelft.nl/uuid:4fa34ea8-7cfb-4bd7-8d84-6cf8ba812201 Part of collection Student theses Document type bachelor thesis Rights © 2021 Boriss Bērmans Files PDF bbermans_research_paper.pdf 165.88 KB Close viewer /islandora/object/uuid:4fa34ea8-7cfb-4bd7-8d84-6cf8ba812201/datastream/OBJ/view