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Learn Smarter, Not Harder : Exploring the Development of Learning Analytics Use Cases to Create Tailormade Online Learning Experiences

Title data

Grüneke, Timo ; Ritz, Eva:
Learn Smarter, Not Harder : Exploring the Development of Learning Analytics Use Cases to Create Tailormade Online Learning Experiences.
In: Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS). - Honolulu, HI : University of Hawai'i at Manoa, Hamilton Library , 2022 . - pp. 921-930
ISBN 978-0-9981331-5-7
DOI: https://doi.org/10.24251/HICSS.2022.114

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI DigitalisierungNo information

Abstract in another language

Our world is significantly shaped by digitalization, fostering new opportunities for technology-mediated learning. Therefore, massive amounts of knowledge become available online. However, concurrently these formats entail less interaction and guidance from lecturers. Thus, learners need to be supported by intelligent learning tools that provide suitable knowledge in a tailored way. In this context, the use of learning analytics in its multifaceted forms is essential. Existing literature shows a proliferation of learning analytics use cases without a systematic structure. Based on a structured literature review of 42 papers we organized existing literature contributions systematically and derived four use cases: learning dashboards, individualized content, tutoring systems, and adaptable learning process based on personality. Our use cases will serve as a basis for a targeted scientific discourse and are valuable orientation for the development of future learning analytics use cases to give rise to the new form of Learning Experience Platforms.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: learning analytics; individualized learning; learning experience; educational platforms
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 02 Feb 2022 13:14
Last Modified: 02 Feb 2022 13:14
URI: https://eref.uni-bayreuth.de/id/eprint/68561