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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 Katharina:
Learn Smarter, Not Harder : Exploring the Development of Learning Analytics Use Cases to Create Tailormade Online Learning Experiences.
2022
Event: 55th Hawaii International Conference on System Sciences (HICSS) , Kauai, USA (virtual).
(Conference item: Conference , Speech )

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 and is changing our social life. Learning is becoming increasingly digital and comprises a multitude of tools, but also an overwhelming amount of knowledge is available. Thus, learners need to be supported by intelligent learning platforms that provide the right knowledge in an individually tailored way. To make platforms intelligent, 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 we organized existing literature contributions systematically and derived four use cases: learning dashboards, individualized content, tutoring systems, and adaptable learning process based on personalities. 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 as to give rise to the new form of Learning Experience Platforms.

Further data

Item Type: Conference item (Speech)
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
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: 09 Sep 2021 09:04
Last Modified: 09 Sep 2021 09:04
URI: https://eref.uni-bayreuth.de/id/eprint/66987