Print Email Facebook Twitter Mobile Learning in Higher Education: A Classification Framework for Learning Applications Title Mobile Learning in Higher Education: A Classification Framework for Learning Applications Author Toledo, Denise (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Software Technology) Contributor Specht, M.M. (mentor) Tan, E.B.K. (mentor) Migut, M.A. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-01 Abstract The focus in over two decades of mobile learning (m-learning) research has meanly been on PK-12 education. M-learning is seen as an important new development in PK-12 and higher education (HE). Yet, the ease of app identification is lacking. This paper aimed to classify different m-learning applications to ensure that they are more easily accessible to teachers. Such a framework has been proposed earlier. However, the technological approach misses, and the apps are mainly for PK-12 pupils. Thus, the current paper aimed to create a framework for (learning) apps for higher education, including their pedagogical and technological approaches. Overall, eleven different app types were identified and categorized into four main categories: practice, organization, social, and creation. Then the apps were further classified using their pedagogical design and instructional approach. The applications can be identified as skill-, content- or function-based applications with overlap in the different categories. Finally, the mobile platform and the features used were analyzed and included in the framework here it was found that most of the apps were hybrid applications which allow for a diverse set of features for the apps. Web based applications are the least prominent and provide the least amount of features. Subject M-LearningHigher EducationLearning ApplicationsClassification Framework To reference this document use: http://resolver.tudelft.nl/uuid:9920496b-95cb-471c-b362-fa91f8510898 Part of collection Student theses Document type bachelor thesis Rights © 2021 Denise Toledo Files PDF RP_Mobile_Learning_in_HE_ ... _final.pdf 2.26 MB Close viewer /islandora/object/uuid:9920496b-95cb-471c-b362-fa91f8510898/datastream/OBJ/view