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  4. GETTING INTO FLOW!? ENHANCE FLOW-LIKE EXPERIENCES AND LEARNING PERFORMANCE THROUGH PERSONALIZED LEARNING ACTIVITIES
 
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GETTING INTO FLOW!? ENHANCE FLOW-LIKE EXPERIENCES AND LEARNING PERFORMANCE THROUGH PERSONALIZED LEARNING ACTIVITIES

Journal
European Conference on Information Systems (ECIS)
Type
conference paper
Date Issued
2023-06
Author(s)
Ritz, Eva  
Research Team
IWI6
Abstract
Although intelligent learning systems provide new opportunities for personalizing learning activities, important design questions remain. To unleash the full impact of such systems, it is vital to examine how the use of Bayesian knowledge tracing can provide learners personalized learning activities and shape their flow experience, performance, and continuity intention. Further, this study explores the moderating role of a growth mindset on the relation between learning task adaptation and flow experience. I rely on electroencephalography to increase the internal validity of flow measurements. The study builds on Flow Theory and aims to empirically unveil the influence of an intelligent personalization of learning processes. The next step will be an experiment with 80 participants following the developed experimental design to evaluate flow experiences in intelligent learning systems. The results of this experiment aim to guide educational designers with prescriptive knowledge on how to design flow-like learning experiences in intelligent learning systems.
Language
English
Keywords
flow experience
knowledge tracing
personalized learning
intelligent learning systems
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Refereed
Yes
Pages
12
Event Title
European Conference on Information Systems (ECIS)
Event Location
Kristiansand, Norway
Event Date
11-16 Jun 2023
Official URL
https://aisel.aisnet.org/ecis2023_rip/81/
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/116332
Subject(s)

computer science

information managemen...

education

business studies

Division(s)

IWI - Institute of In...

Eprints ID
270066
File(s)
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Thumbnail Image

open.access

Name

JML_937.pdf

Size

468.87 KB

Format

Adobe PDF

Checksum (MD5)

5a00a425e2eeba238d4f7e551d2adca7

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