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  4. What to Learn Next? Designing Personalized Learning Paths for Re-&Upskilling in Organizations
 
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What to Learn Next? Designing Personalized Learning Paths for Re-&Upskilling in Organizations

Journal
Hawaii International Conference on System Sciences (HICSS)
ISSN
2572-6862
ISBN
978-0-9981331-7-1
Type
conference paper
Date Issued
2023-01-06
Author(s)
Eva Ritz  
Leonie Freise
Edona Elshan  
Roman Rietsche  
Ulrich Bretschneider
Research Team
IWI6
Abstract
The fast-paced acceleration of digitalization requires extensive re-&upskilling, impacting a significant proportion of jobs worldwide. Technology-mediated learning platforms have become instrumental in addressing these efforts, as they can analyze platform data to provide personalized learning journeys. Such personalization is expected to increase employees’ empowerment, job satisfaction, and learning outcomes. However, the challenge lies in efficiently deploying these opportunities using novel technologies, prompting questions about the design and analysis of generating personalized learning paths in organizational learning. We, therefore, analyze and classify recent research on personalized learning paths into four major concepts (learning context, data, interface, and adaptation) with ten dimensions and 34 characteristics. Six expert interviews validate the taxonomy’s use and outline three exemplary use cases, undermining its feasibility. Information Systems researchers can use our taxonomy to develop theoretical models to study the effectiveness of personalized learning paths in intra-organizational re-&upskilling.
Language
English
Keywords
Personalized Learning
Re-&Upskilling
Skill Profile
Learning Paths
Large Language Models
HSG Classification
contribution to scientific community
Refereed
Yes
Start page
267
End page
276
Pages
10
Event Title
Hawaii International Conference on System Sciences (HICSS)
Event Location
Waikiki, Hawaii, USA
Event Date
3-6 Jan 2023
Official URL
https://hdl.handle.net/10125/106406
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/118212
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

File(s)
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open.access

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JML_959.pdf

Size

491.46 KB

Format

Adobe PDF

Checksum (MD5)

4f22c24601750b1b09ad87a228ade5f3

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