Generative Co-Learners: Enhancing Cognitive and Social Presence of Students in Asynchronous Learning with Generative AI
Not on the map. Why?
Abstract (arXiv)
Cognitive presence and social presence are crucial for a comprehensive learning experience. Despite the flexibility of asynchronous learning environments to accommodate individual schedules, the inherent constraints of asynchronous environments make augmenting cognitive and social presence particularly challenging. Students often face challenges such as a lack of timely feedback and support, a lack of non-verbal cues in communication, and a sense of isolation. To address this challenge, this paper introduces Generative Co-Learners, a system designed to leverage generative AI-powered agents, simulating co-learners supporting multimodal interactions, to improve cognitive and social presence in asynchronous learning environments. We conducted a study involving 12 student participants who used our system to engage with online programming tutorials to assess the system's effectiveness. The results show that by implementing features to support textual and visual communication and simulate an interactive learning environment with generative agents, our system enhances the cognitive and social presence in the asynchronous learning environment. These results suggest the potential to use generative AI to support students learning at scale and transform asynchronous learning into a more inclusive, engaging, and efficacious educational approach.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Oct 2024.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2026Towards Valid Student Simulation with Large Language Modelscited by 7
- 2025A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyondcited by 6
- 2025Towards A Cultural Intelligence and Values Inferences Quality Benchmark for Community Values and Common Knowledgecited by 0
- 2026Towards Valid Student Simulation with Large Language Models9 Jan 2026
- 2025Towards A Cultural Intelligence and Values Inferences Quality Benchmark for Community Values and Common Knowledge4 Dec 2025
- 2025A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyond16 Aug 2025
Similar, not cited
Close in wording, no citation either way
- 2026Beyond the Chatbot: Co-Learning and Co-Teaching through a Dual-Persona Generative-AI Assistant
- 2026CogEvolution: A Human-like Generative Educational Agent to Simulate Student's Cognitive Evolution
- 2025Simulating Students with Large Language Models: A Review of Architecture, Mechanisms, and Role Modelling in Education with Generative AI
- 2025CogEvo-Edu: Cognitive Evolution Educational Multi-Agent Collaborative System
- 2024EduAgent: Generative Student Agents in Learning
- 2024Bringing Generative AI to Adaptive Learning in Education
- 2025Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation
- 2025Interactionalism: Re-Designing Higher Learning for the Large Language Agent Era