Three-layered AI-driven learning analytics framework for examining collaborative problem solving¶
Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 1 claim rests on one study
Description¶
The article proposes a three-layered analytical framework integrating AI algorithms with learning analytics to examine collaborative problem solving as complex adaptive systems: "AI algorithms were incorporated into that framework using multiple learning analytic approaches". Layer 1 codes interactive, cognitive, regulative, behavioural and socio-emotional dimensions; Layer 2 applies multichannel sequence analysis with optimal matching and Ward's clustering to detect pattern types; Layer 3 uses statistical analysis, epistemic network analysis, and hidden Markov modeling to reveal quantitative, structural, and transitional regularities per type.
Accounts¶
- Three-layered AI-driven learning analytics framework for examining CPS from a complex adaptive systems perspective: The article proposes a three-layered analytical framework integrating AI algorithms with learning analytics to examine collaborative problem solving as complex adaptive systems: "AI algorithms were incorporated into that framework using multiple learning analytic approaches". Layer 1 codes interactive, cognitive, regulative, behavioural and socio-emotional dimensions; Layer 2 applies multichannel sequence analysis with optimal matching and Ward's clustering to detect pattern types; Layer 3 uses statistical analysis, epistemic network analysis, and hidden Markov modeling to reveal quantitative, structural, and transitional regularities per type. (Fan Ouyang et al. (2023))
Claims¶
Related Research Methods¶
Key Sources¶
- Fan Ouyang, Weiqi Xu, Mutlu Cukurova. (2023). An artificial intelligence-driven learning analytics method to examine the collaborative problem-solving process from the complex adaptive systems perspective. Intern. J. Comput.-Support. Collab. Learn (2023) 18:39–66. https://doi.org/10.1007/s11412-023-09387-z
Page metadata
| Field | Value |
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research-method |
id |
three-layered-ai-driven-learning-analytics-framework-for-examining-collaborative-problem-s |
title |
Three-layered AI-driven learning analytics framework for examining collaborative problem solving |
description |
The article proposes a three-layered analytical framework integrating AI algorithms with learning analytics to examine collaborative problem solving as complex adaptive systems: "AI algorithms were incorporated into that framework using multiple learning analytic approaches". |
status |
review |
generated |
by process:settle-candidates on 2026-10-18 |
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