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Marco Lünich; Birte Keller; Frank Marcinkowski – Technology, Knowledge and Learning, 2024
Artificial intelligence in higher education is becoming more prevalent as it promises improvements and acceleration of administrative processes concerning student support, aiming for increasing student success and graduation rates. For instance, Academic Performance Prediction (APP) provides individual feedback and serves as the foundation for…
Descriptors: Predictor Variables, Artificial Intelligence, Computer Software, Higher Education
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Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
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Hipel, Keith W.; And Others – International Studies Quarterly, 1988
Presents a comprehensive framework for modeling a hypergame: a game in which one or more players have misperceptions about the true nature of a dispute. A new hypergame analysis algorithm is devised for executing stability analyses and the efficacy of this new approach is demonstrated in a discussion of the Falkland--Malvinas conflict of 1982.…
Descriptors: Algorithms, Crisis Management, Decision Making, Game Theory
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O'Neill, Eileen S.; Dluhy, Nancy M. – Nursing Outlook, 2000
Describes structured care approaches, such as protocols, clinical pathways, and algorithms, which are being used increasingly to organize clinical knowledge and guide patient care. Reviews the types of structured care approaches available to the clinician and explores the value of structured care approaches in practice and education. (Contains 32…
Descriptors: Algorithms, Clinical Experience, Critical Path Method, Decision Making
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Murphy, Michael J.; And Others – Simulation and Games, 1982
Describes NEGOTIATE, an interactive computer model that synthesizes bargaining theories into algorithmic functions capable of simulating complex labor relations. The models employed in the simulation, the instructional dimension of NEGOTIATE, and various applications of the game are discussed. A seven-item reference list is included. (Author/JL)
Descriptors: Algorithms, Collective Bargaining, Computer Oriented Programs, Decision Making