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Ujué Agudo; Karlos G. Liberal; Miren Arrese; Helena Matute – Cognitive Research: Principles and Implications, 2024
Automated decision-making is becoming increasingly common in the public sector. As a result, political institutions recommend the presence of humans in these decision-making processes as a safeguard against potentially erroneous or biased algorithmic decisions. However, the scientific literature on human-in-the-loop performance is not conclusive…
Descriptors: Foreign Countries, Spanish Speaking, Artificial Intelligence, Court Litigation
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Noor Maizura Mohamad Noor; Nur Azhani Rosly; Noraaini Ali; Faaizah Shahbodin; Rohayu Abdul Ghani – International Society for Technology, Education, and Science, 2023
Higher education institutions should rely on the success of educators to deliver quality education in an increasingly economic context. The definition of the competencies necessary for an effective educator rest on top higher education management. Institutions of higher learning may also enhance cognitive abilities. The development of cognitive…
Descriptors: Decision Making, Teacher Evaluation, Teacher Competencies, Self Evaluation (Individuals)
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Moran P. Lee; Abubakir Siedahmed; Neil T. Heffernan – Grantee Submission, 2024
Contextual multi-armed bandits have previously been used to personalize student support messages given to learners by supplying a model with relevant context about the user, problem, and available student supports. In this work, we propose using careful feature selection with relevant domain knowledge to improve the quality of student support…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Reinforcement
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Songer, Robert Wesley; Yamamoto, Tomohito – Educational Research and Reviews, 2023
Recommender systems in education aim to help students make good decisions about the direction of their learning. The design of such systems in conventional research has treated the decision making process of students as a black box and assumes the best recommendations to be those that accurately predict student choices. Such an approach overlooks…
Descriptors: Artificial Intelligence, Decision Making, Decision Support Systems, Engineering Education
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Samaranayake, Sobitha; Gunawardena, Athula D. A.; Meyer, Robert R. – Athens Journal of Education, 2023
Many students in the Unites States enter college without having decided on a focus for their studies, and thus are faced with choosing from a large number of potential majors and associated very complex sets of degree requirements which can include many courses in other areas of study. Academic advisors use academic planning tools to help students…
Descriptors: College Students, Degree Requirements, Academic Degrees, Decision Support Systems