What type of study is this?

This is a Human Clinical Trial study (also classified as: Mixed-Methods, Qualitative Study, RCT).

November 17, 2025Journal of Educational Computing Research

Evaluating the Longitudinal Effects of AI-Enhanced Collaborative Dialogue Modes on Computational Thinking and Language Proficiency in EFL Learners: A Mixed-Methods Approach

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Guided feedback significantly improved language proficiency and computational thinking compared to control group.
Participants demonstrated sustained skills over time, with the guided feedback group achieving notable success.
Randomized controlled trial employing advanced statistical growth modeling, analyzing conversation networks and AI logs.
Findings highlight the need for balanced AI designs that foster learner independence and skill retention across cultures.

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Implication

Mixed-methods analysis reveals AI dialogue methods enhance language proficiency and computational thinking in EFL learners, suggesting balanced structures for effective learning.

Cite This Study

Sun et al. (2025) studied this question.

synapsesocial.com/papers/692509f6c0ce034ddc352d76 https://doi.org/10.1177/07356331251399452

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Implication

Mixed-methods analysis reveals AI dialogue methods enhance language proficiency and computational thinking in EFL learners, suggesting balanced structures for effective learning.

Evaluating the Longitudinal Effects of AI-Enhanced Collaborative Dialogue Modes on Computational Thinking and Language Proficiency in EFL Learners: A Mixed-Methods Approach

Key Points

Discussion

Implication

Cite This Study

Evaluating the Longitudinal Effects of AI-Enhanced Collaborative Dialogue Modes on Computational Thinking and Language Proficiency in EFL Learners: A Mixed-Methods Approach

Key Points

Discussion

Implication

Cite This Study

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