#collaborative learning

collaborative learning

4 পেপার

Three university students of Black, East Asian, and White backgrounds compare a projected data slide with a marked-up source chart in an evening campus seminar

Product news: ChatGPT Slides brings shared editing into Space, inviting closer review of group presentations

OpenAI

AI Product and Learning Report

ChatGPT Slides began rolling out on October 16 to eligible Pro, Business, and Enterprise users with Space access. Its shared editing workflow gives education teams a new setting for reviewing a presentation together. Reported here on October 17, the relevant change is collaboration inside ChatGPT Space. A proposed seminar activity asks students to connect slide claims to evidence, record consequential revisions, and explain the finished argument individually, keeping presentation quality separate from demonstrated understanding.

product newsChatGPT SlidesChatGPT Space

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Three university learners discuss an annotated lesson plan and AI feedback on a laptop in a sunlit seminar room

জার্নাল পেপার2026

জার্নাল পেপার 214

AI feedback reached student groups, but fewer than one in three actionable comments appeared in their revisions

Guoqing Lu, Huimin Zhang, Shen Ba, Lan Yang

Journal of Educational Computing Research

An 18-week study of 114 pre-service teachers examined what happened after human-reviewed AI feedback reached their groups. Researchers traced 965 actionable comments into later work: 271 were implemented, while many remained unused or ambiguous. The four feedback conditions did not differ significantly in implementation status. The finding directs attention to students’ decisions about advice, with classroom applications below offered as editorial proposals rather than tested improvements in learning.

collaborative learningteacher educationfeedback uptake

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Four teacher trainees discuss a laptop lesson suggestion, compare activity cards, and record a reasoned revision in a notebook.

জার্নাল পেপার2026

জার্নাল পেপার 156

AI-supported lesson-design teams maintained immediate scores after withdrawal, but durable learning was not tested

Daniele Agostini, Anna Serbati, Federica Picasso, Anastasiya Lipnevich

Frontiers in Education

A crossover study organized 102 teachers-in-training into 21 lesson-design groups, with complete knowledge-test data from 82 participants. Teams used ChatGPT during either the first or second task. Scores rose during AI-supported phases and did not show a detectable immediate decline after withdrawal for the first sequence. Reflections also described efficiency gains and reduced peer idea-building. Short timing, weak test consistency and sequential tasks prevent interpreting this pattern as established long-term retention.

collaborative learningteacher educationlesson design

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Two preservice teachers revise a five-part whiteboard mind map while a teaching assistant checks an annotated feedback sheet beside them.

জার্নাল পেপার2025

জার্নাল পেপার 122

Multilevel AI-assisted feedback supported collaborative regulation, with human review built into delivery

Guoqing Lu, Shen Ba, Lan Yang

Education and Information Technologies

A study of 114 preservice teachers compared four designs for AI-assisted formative feedback during collaborative learning. Feedback addressing task, process, and self-regulation showed advantages on several group outcomes over task-only comments, while adding detail was not uniformly better. A teaching assistant reviewed and delivered the feedback, so the findings concern a supervised instructional workflow rather than students using an autonomous chatbot or AI outperforming teacher feedback.

collaborative learningformative feedbackteacher education

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