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个人简介
Learning analytics, user modeling, and fairness and transparency in machine learning.
His research examines data such as facial expressions, audio recordings, log file records of user actions, and other sources that provide insight into learners' behaviors. Neural networks and other machine learning methods provide powerful ways to mine these data for knowledge, but can proliferate biases that are commonly found in datasets. Bosch's research also focuses on analyzing the biases in these methods, with the goal of ultimately developing fairer learning software and research methods.
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LEARNING AND INSTRUCTION (2024): 101893
Clara Belitz, HaeJin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steve Ritter,Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh,Nigel Bosch
FOURTEENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, LAK 2024pp.210-218, (2024)
Journal of Educational and Behavioral Statistics (2024)
FOURTEENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, LAK 2024pp.200-209, (2024)
Alcoholism, clinical and experimental researchno. 1 (2023): 50-59
Proceedings of the IEEEno. 10 (2023): 1398-1422
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Educational technology research and developmentpp.1-23, (2023)
LAK2023: LAK23: 13th International Learning Analytics and Knowledge Conferencepp.630-636, (2023)
Proceedings of the AAAI Conference on Human Computation and Crowdsourcingno. 1 (2023): 198-210
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