Designing adaptive learning environments for continuing education: Stakeholders’ perspectives on indicators and interventions

Adaptive learning environments (ALE) provide great potential for personalizing and supporting learning processes in continuing education (CE). However, valid frameworks for designing ALE for CE have been missing so far. For example, user-centered and empirically-based guidelines for selecting indicators (i.e., information about learners and their contexts that should be collected and analyzed by ALE) and interventions for personalizing and supporting learning processes have not been established yet. Therefore, this paper aims to develop a framework of indicators and interventions for ALE for CE by investigating the perspectives of different stakeholders (i.e., learners, CE specialists, and educational technology specialists). We first conducted an interview study ( N = 37) to identify indicators for ALE for CE. Subsequently, we conducted focus group interviews ( N = 19) and an online survey ( N = 72) to specify and evaluate possible interventions. Several indicators related to internal (e.g., prior knowledge) and external (e.g., time available for learning) conditions of learning as well as corresponding interventions (e.g., adaptation of the general difficulty level and thematic focus, recommendation of timely suitable learning resources) were identified. We developed a framework classifying interventions based on indicators and adaptivity type and providing evaluations of learners’ willingness to use these interventions, perceived learning support, and implementation effort. This framework can be used by researchers, system designers, as well as CE and educational technology specialists to design and implement user-centered and trustworthy ALE for CE. • Framework for designing adaptive learning environments for continuing education. • Indicators related to learners' internal and external conditions. • Interventions for personalizing and supporting learning processes.

Authors

Publication Details

Journal
Computers in Human Behavior Reports
Published
2024-11-28
DOI
https://doi.org/10.1016/j.chbr.2024.100525
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.82

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article

Designing adaptive learning environments for continuing education: Stakeholders’ perspectives on indicators and interventions

Yvonne M. Hemmler, Dirk Ifenthaler
2 citations
Computers in Human Behavior Reports
Online Learning and Analytics
0.82
article

Designing adaptive learning environments for continuing education: Stakeholders’ perspectives on indicators and interventions

Yvonne M. Hemmler, Dirk Ifenthaler
article en
2 citations

Abstract

Adaptive learning environments (ALE) provide great potential for personalizing and supporting learning processes in continuing education (CE). However, valid frameworks for designing ALE for CE have been missing so far. For example, user-centered and empirically-based guidelines for selecting indicators (i.e., information about learners and their contexts that should be collected and analyzed by ALE) and interventions for personalizing and supporting learning processes have not been established yet. Therefore, this paper aims to develop a framework of indicators and interventions for ALE for CE by investigating the perspectives of different stakeholders (i.e., learners, CE specialists, and educational technology specialists). We first conducted an interview study ( N = 37) to identify indicators for ALE for CE. Subsequently, we conducted focus group interviews ( N = 19) and an online survey ( N = 72) to specify and evaluate possible interventions. Several indicators related to internal (e.g., prior knowledge) and external (e.g., time available for learning) conditions of learning as well as corresponding interventions (e.g., adaptation of the general difficulty level and thematic focus, recommendation of timely suitable learning resources) were identified. We developed a framework classifying interventions based on indicators and adaptivity type and providing evaluations of learners’ willingness to use these interventions, perceived learning support, and implementation effort. This framework can be used by researchers, system designers, as well as CE and educational technology specialists to design and implement user-centered and trustworthy ALE for CE. • Framework for designing adaptive learning environments for continuing education. • Indicators related to learners' internal and external conditions. • Interventions for personalizing and supporting learning processes.

Computers in Human Behavior ReportsVol. 16
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 18%
Online Learning and Analytics
0.82
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Designing adaptive learning environments for continuing education: Stakeholders’ perspectives on indicators and interventions — Yvonne M. Hemmler, Dirk Ifenthaler · Computers in Human Behavior Reports (2024) | TGRS Research Map | TGRS