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Peabody, Michael R. – Measurement: Interdisciplinary Research and Perspectives, 2023
Many organizations utilize some form of automation in the test assembly process; either fully algorithmic or heuristically constructed. However, one issue with heuristic models is that when the test assembly problem changes the entire model may need to be re-conceptualized and recoded. In contrast, mixed-integer programming (MIP) is a mathematical…
Descriptors: Programming Languages, Algorithms, Heuristics, Mathematical Models
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Hartmann, Christian; Rummel, Nikol; Bannert, Maria – Journal of Learning Analytics, 2022
This paper presents a fine-grained process analysis of 22 students in a classroom-based learning setting. The students engaged (and failed) in problem-solving attempts prior to instruction (i.e., the Productive-Failure approach). We used the HeuristicsMiner algorithm to analyze the data of a quasi-experimental study. The applied algorithm allowed…
Descriptors: Heuristics, Problem Solving, Computer Software, Comparative Analysis
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Buckley, Jeffrey; Seery, Niall; Canty, Donal – International Journal of Technology and Design Education, 2018
Design activities typically involve and culminate in the creation of models representative of new ideas and conceptions. The format is often dictated by the specific discipline, with ideas in design and technology education regularly being externalised through the use of computer aided design (CAD). This paper focusses on the realisation stage of…
Descriptors: Heuristics, Design, Technology Education, Teaching Methods
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Musard, Mathilde; Poggi, Marie-Paule – Physical Education and Sport Pedagogy, 2015
Introduction: The aims of this literature review were to characterize the communications presented during six Association for Research on "Intervention" in Sport (ARIS) French-speaking congresses from 2000 to 2010 and to compare the research trends between French and English research traditions. The definition of pedagogy is close to the…
Descriptors: Foreign Countries, Physical Education, Athletics, Educational Research
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Vale, C. David; Gialluca, Kathleen A. – Applied Psychological Measurement, 1988
To determine which produced the most accurate item parameter estimates, four methods of item response theory were evaluated: (1) heuristic estimates; (2) the ANCILLES program; (3) the LOGIST program; and (4) the ASCAL program. LOGIST and ASCAL produced estimates of superior and essentially equivalent accuracy. (SLD)
Descriptors: Comparative Analysis, Computer Assisted Testing, Computer Software, Estimation (Mathematics)