Title:	Flipped Classroom and Learning Analytics in Higher Education: Effective Development, Integration, and Learner Support
Authors:	Rodda, Alena
ORCID of the author:	https://orcid.org/0000-0002-9690-3743
Thesis advisor:	Prof. Dr. Bodo Rieger
Thesis referee:	Jun.-Prof. Dr. Sofia Schöbel
Abstract:	This dissertation investigates the transformation of higher education in response to evolving workforce demands. As universities globally transition to diverse teaching formats, the integration of Flipped Classroom (FC) courses and the utilization of Learning Analytics (LA) take center stage. The FC approach, emphasizing interactive in-class sessions and pre-class self-learning phases, offers opportunities for skill development aligned with changing workforce needs. Challenges in FC design, however, persist. Learning Analytics emerges as a solution to enhance self-regulated learning skills through data collection and analysis. The dissertation aims to systematically develop and integrate FCs into higher education operations, proposing a process model, and explores the potential of LA to optimize FC courses. The research contributes insights, implications, and avenues for further exploration in the dynamic landscape of contemporary education.
URL:	https://doi.org/10.48693/439 https://osnadocs.ub.uni-osnabrueck.de/handle/ds-2023121310140
Subject Keywords:	Flipped Classroom; Learning Analytics; Higher Education; e-Learning
Issue Date:	13-Dec-2023
License name:	Attribution-NonCommercial-ShareAlike 3.0 Germany
License url:	http://creativecommons.org/licenses/by-nc-sa/3.0/de/
Type of publication:	Dissertation oder Habilitation [doctoralThesis]
Appears in Collections:	FB09 - E-Dissertationen

This item is licensed under a Creative Commons License