Date
Publisher
arXiv
Improving artificial intelligence (AI) literacy has become an important
consideration for academia and industry with the widespread adoption of AI
technologies. Collaborative learning (CL) approaches have proven effective for
information literacy, and in this study, we investigate the effectiveness of CL
in improving AI knowledge and skills. We systematically collected data to
create a corpus of nine studies from 2015-2023. We used the
Interactive-Constructive-Active-Passive (ICAP) framework to theoretically
analyze the CL outcomes for AI literacy reported in each. Findings suggest that
CL effectively increases AI literacy across a range of activities, settings,
and groups of learners. While most studies occurred in classroom settings, some
aimed to broaden participation by involving educators and families or using AI
agents to support teamwork. Additionally, we found that instructional
activities included all the ICAP modes. We draw implications for future
research and teaching.
Study at a glance
- Question: How effective is collaborative learning in improving artificial intelligence knowledge and skills?
- Setting and data: Nine studies published between 2015 and 2023.
- Method: Literature review (systematic review).
Why it matters
Widespread adoption of AI technologies makes improving AI literacy an important consideration. While collaborative learning approaches have proven effective for information literacy, their effectiveness in improving AI knowledge and skills needs investigation.
Key findings
- Across nine studies from 2015 to 2023, evidence suggests that collaborative learning effectively increases AI literacy across diverse activities, settings, and learner groups.
- Most collaborative AI literacy efforts occurred in classrooms, while some broadened participation by involving families and educators or using AI agents to support teamwork.
- Instructional activities utilized all engagement modes, spanning passive, active, constructive, and interactive learning.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
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Study design
