Bart Carlo Rienties
Milton Keynes
Professor Learning Analytics @IETatOU @SoLAResearch
@WTGF_Games World Champion TT 2019 + Team TT 2017-19; @ETDSF1 European TT & road race champion 2018-24
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Students’ Perceptions of AI Digital Assistants (AIDAs): Should Institutions Invest in Their Own AIDAs?
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From hype to evidence: exploring large language models for inter-group bias classification in higher education
ABSTRACT Inter-group biases can diminish student achievements in several ways. Yet, manually identifying those biases in vast learning texts is challenging because of their subtle nature. In the light of processing nuanced language, approaches based on large language models (LLMs) have emerged as promising mechanisms (e.g. ChatGPT). However, their potential for classifying bias in learning text seems under-explored.
Barriers and facilitators to physical activity: A comparative analysis of transplant athletes competing in high intensity sporting events with other transplant recipients
Loading metrics Open Access Peer-reviewed Research Article Citation: Rienties B, Duncan E, Judd P, Oakley B, Pengel LHM, Roelen K, et al. (2024) Barriers and facilitators to physical activity: A comparative analysis of transplant athletes competing in high intensity sporting events with other transplant recipients. PLoS ONE 19(8): e0307095.
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