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Khan, Md Akib Zabed; Polyzou, Agoritsa – International Educational Data Mining Society, 2023
Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…
Descriptors: Course Selection (Students), Learning Analytics, Academic Advising, Decision Making
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Polyzou, Agoritsa; Nikolakopoulos, Athanasios N.; Karypis, George – International Educational Data Mining Society, 2019
Course selection is a crucial and challenging problem that students have to face while navigating through an undergraduate degree program. The decisions they make shape their future in ways that they cannot conceive in advance. Available departmental sample degree plans are not personalized for each student, and personal discussion time with an…
Descriptors: Markov Processes, Course Selection (Students), Undergraduate Students, Decision Making
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Smith, Cathryn – Canadian Journal of Action Research, 2017
Action research has been described as "designing the plane while flying it" (Herr & Anderson, 2005, p. 69). A black box documented the researcher's decisions while facilitating leadership development sessions with teacher leaders. Ten process folio steps informed the study through six iterations. Planning steps included a design…
Descriptors: Decision Making, Action Research, Leadership Training, Sequential Learning
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Frey, Renato; Rieskamp, Jörg; Hertwig, Ralph – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
In nonmonotonic decision problems, the magnitude of outcomes can both increase and decrease over time depending on the state of the decision problem. These increases and decreases may occur repeatedly and result in a variety of possible outcome distributions. In many previously investigated sequential decision problems, in contrast, outcomes (or…
Descriptors: Risk, Learning Processes, Reinforcement, Decision Making
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Min, Wookhee; Wiggins, Joseph B.; Pezzullo, Lydia G.; Vail, Alexandria K.; Boyer, Kristy Elizabeth; Mott, Bradford W.; Frankosky, Megan H.; Wiebe, Eric N.; Lester, James C. – International Educational Data Mining Society, 2016
Recent years have seen a growing interest in intelligent game-based learning environments featuring virtual agents. A key challenge posed by incorporating virtual agents in game-based learning environments is dynamically determining the dialogue moves they should make in order to best support students' problem solving. This paper presents a…
Descriptors: Prediction, Models, Intelligent Tutoring Systems, Computer Simulation
Pedersen, Mitra – ProQuest LLC, 2013
This study investigated the rate of success for IT projects using agile and standard project management methodologies. Any successful project requires use of project methodology. Specifically, large projects require formal project management methodologies or models, which establish a blueprint of processes and project planning activities. This…
Descriptors: Correlation, Comparative Analysis, Information Technology, Decision Making
Shanteau, James C. – J Exp Psychol, 1970
Descriptors: Decision Making, Models, Sequential Approach, Stimulus Devices
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Jeffries, Robin; And Others – Cognitive Psychology, 1977
The water jug task model was extended to four variations of the Missionaries--Cannibals river-crossing problem. Different cover stories resulted in large differences in number of illegal moves, but no difference in number of legal moves to solution. The three-stage process model explains both legal and illegal moves. (Author/GDC)
Descriptors: Cognitive Processes, Decision Making, Games, Higher Education
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Vos, Hans J. – Journal of Educational Computing Research, 1998
Formulates sequential rules for adapting the appropriate amount of instruction to learning needs in the context of computer-based instruction. Topics include Bayesian decision theory, threshold and linear-utility structure, psychometric model, optimal sequential number of test questions, and an empirical example of sequential instructional…
Descriptors: Computer Assisted Instruction, Decision Making, Higher Education, Learning Strategies
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Cryer, Patricia – Simulation/Games for Learning, 1987
Discusses the nature and sequencing of decisions involved in designing a game, simulation, or workshop from the theoretical perspective of course and curriculum design. A model for design is presented that incorporates objectives, teaching/learning methods, content, and assessment/evaluation, and other models are also discussed. (Author/LRW)
Descriptors: Content Analysis, Curriculum Design, Decision Making, Educational Games