Practical and ethical challenges of large language models in education: A systematic sco** review

L Yan, L Sha, L Zhao, Y Li… - British Journal of …, 2024 - Wiley Online Library
Educational technology innovations leveraging large language models (LLMs) have shown
the potential to automate the laborious process of generating and analysing textual content …

The life cycle of large language models: A review of biases in education

J Lee, Y Hicke, R Yu, C Brooks, RF Kizilcec - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) are increasingly adopted in educational contexts to provide
personalized support to students and teachers. The unprecedented capacity of LLM-based …

Assessing student explanations with large language models using fine-tuning and few-shot learning

D Carpenter, W Min, S Lee, G Ozogul… - Proceedings of the …, 2024 - aclanthology.org
The practice of soliciting self-explanations from students is widely recognized for its
pedagogical benefits. However, the labor-intensive effort required to manually assess …

[HTML][HTML] Supporting Adolescent Engagement with Artificial Intelligence–Driven Digital Health Behavior Change Interventions

A Giovanelli, J Rowe, M Taylor, M Berna… - Journal of medical …, 2023 - jmir.org
Understanding and optimizing adolescent-specific engagement with behavior change
interventions will open doors for providers to promote healthy changes in an age group that …

A comparative analysis of automatic speech recognition errors in small group classroom discourse

J Cao, A Ganesh, J Cai, R Southwell… - Proceedings of the 31st …, 2023 - dl.acm.org
In collaborative learning environments, effective intelligent learning systems need to
accurately analyze and understand the collaborative discourse between learners (ie, group …

Detecting and mitigating encoded bias in deep learning-based stealth assessment models for reflection-enriched game-based learning environments

A Gupta, D Carpenter, W Min, J Rowe… - International Journal of …, 2023 - Springer
Reflection plays a critical role in learning. Game-based learning environments have
significant potential to elicit and support student reflection by prompting learners to think …

Detecting disruptive talk in student chat-based discussion within collaborative game-based learning environments

K Park, H Sohn, B Mott, W Min, A Saleh… - … Learning Analytics and …, 2021 - dl.acm.org
Collaborative game-based learning environments offer significant promise for creating
engaging group learning experiences. Online chat plays a pivotal role in these …

Multidimensional team communication modeling for adaptive team training: A hybrid deep learning and graphical modeling framework

W Min, R Spain, JD Saville, B Mott, K Brawner… - … Conference on Artificial …, 2021 - Springer
Team communication modeling offers great potential for adaptive learning environments for
team training. However, the complex dynamics of team communication pose significant …

Robust team communication analytics with transformer-based dialogue modeling

J Pande, W Min, RD Spain, JD Saville… - … Conference on Artificial …, 2023 - Springer
Adaptive training environments that can provide reliable insight into team communication
offer great potential for team training and assessment. However, traditional techniques that …

PANGeA: procedural artificial narrative using generative AI for turn-based, role-playing video games

S Buongiorno, L Klinkert, Z Zhuang, T Chawla… - Proceedings of the …, 2024 - ojs.aaai.org
Large language models (LLMs) offer unprecedented flexibility in procedural generation,
enabling the creation of dynamic video game storylines that evolve with user input. A critical …