Triangulating multimodal data: Data of interaction logs, learning achievement, and motivation of L2 learners in a computer-assisted language learning environment

This dataset comprises detailed interaction log data from 201 learners engaged in second language (L2) English reading assignments with an intelligent computer-assisted language learning (ICALL) system over a six-week period. After preprocessing, a total of 116,168 clickstream data points were generated, capturing learners' behaviours, such as navigation patterns and task engagement within the system. In addition to the interaction logs, the dataset includes learners' L2 reading proficiency test scores collected before and after the learning period and self-reported measures of motivation toward the subject. These multimodal data provide valuable insights into how learners engage with online learning materials, how person-level factors such as motivation interact with digital reading behaviours, and how digital traces can be used to predict learning achievement.

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Publication Details

Journal
Data in Brief
Published
2025-12-25
DOI
https://doi.org/10.1016/j.dib.2025.112426
Primary Topic
Second Language Acquisition and Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Triangulating multimodal data: Data of interaction logs, learning achievement, and motivation of L2 learners in a computer-assisted language learning environment

Xiaoer Zhou, Björn Rudzewitz, Mihwa Lee, Yushan Ye et al.
Data in Brief
Second Language Acquisition and Learning
article

Triangulating multimodal data: Data of interaction logs, learning achievement, and motivation of L2 learners in a computer-assisted language learning environment

Xiaoer Zhou, Björn Rudzewitz, Mihwa Lee, Yushan Ye, Yuan Chu, Lanhua Huang, Xiaobin Chen
article en

Abstract

This dataset comprises detailed interaction log data from 201 learners engaged in second language (L2) English reading assignments with an intelligent computer-assisted language learning (ICALL) system over a six-week period. After preprocessing, a total of 116,168 clickstream data points were generated, capturing learners' behaviours, such as navigation patterns and task engagement within the system. In addition to the interaction logs, the dataset includes learners' L2 reading proficiency test scores collected before and after the learning period and self-reported measures of motivation toward the subject. These multimodal data provide valuable insights into how learners engage with online learning materials, how person-level factors such as motivation interact with digital reading behaviours, and how digital traces can be used to predict learning achievement.

Data in BriefVol. 64
Guangzhou University (CN), University of Tübingen (DE)
Quality Education
Openalex Percentile: Top 28%
Second Language Acquisition and Learning
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