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Rau, Martina Angela – International Journal of Artificial Intelligence in Education, 2017
Traditional knowledge-component models describe students' content knowledge (e.g., their ability to carry out problem-solving procedures or their ability to reason about a concept). In many STEM domains, instruction uses multiple visual representations such as graphs, figures, and diagrams. The use of visual representations implies a…
Descriptors: Knowledge Representation, Models, Competence, Learning Processes
Strecht, Pedro; Cruz, Luís; Soares, Carlos; Mendes-Moreira, João; Abreu, Rui – International Educational Data Mining Society, 2015
Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…
Descriptors: Comparative Analysis, Classification, Regression (Statistics), Mathematics
Elaldi, Senel – Journal of Education and Training Studies, 2016
This study aimed to determine the effect of mastery learning model supported with reflective thinking activities on the fifth grade medical students' academic achievement. Mixed methods approach was applied in two samples (n = 64 and n = 6). Quantitative part of the study was based on a pre-test-post-test control group design with an experiment…
Descriptors: Foreign Countries, Mastery Learning, Models, Reflection
Chen, Min; Yu, Sheng Quan; Chiang, Feng Kuang – Interactive Learning Environments, 2017
Most ubiquitous learning researchers use resource recommendation and retrieving based on context to provide contextualized learning resources, but it is the kind of one-way context matching. Learners always obtain fixed digital learning resources, which present all learning contents in any context. This study proposed a dynamic ubiquitous learning…
Descriptors: Electronic Learning, Educational Technology, Instructional Materials, Models
Sanchez, Pablo; Zorrilla, Marta; Duque, Rafael; Nieto-Reyes, Alicia – Computer Science Education, 2011
Models in Software Engineering are considered as abstract representations of software systems. Models highlight relevant details for a certain purpose, whereas irrelevant ones are hidden. Models are supposed to make system comprehension easier by reducing complexity. Therefore, models should play a key role in education, since they would ease the…
Descriptors: Computer Science Education, Computer Software, Programming, Programming Languages
Asay, Loretta Johnson – ProQuest LLC, 2013
Analogies are ubiquitous during instruction in science classrooms, yet research about the effectiveness of using analogies has produced mixed results. An aspect seldom studied is a model of instruction when using analogies. The few existing models for instruction with analogies have not often been examined quantitatively. The Teaching With…
Descriptors: Science Education, Logical Thinking, Concept Mapping, Science Instruction
Bandi-Rao, Shoba; Murphy, Gregory L. – Cognition, 2007
Although English verbs can be either regular ("walk"-"walked") or irregular ("sing"-"sang"), "denominal verbs" that are derived from nouns, such as the use of the verb "ring" derived from the noun "a ring", take the regular form even if they are homophonous with an existing irregular verb: "The soldiers ringed the city" rather than "The soldiers…
Descriptors: Semantics, Morphemes, Nouns, Verbs
Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction
Pavlik, Philip I., Jr.; Anderson, John R. – Cognitive Science, 2005
An experiment was performed to investigate the effects of practice and spacing on retention of Japanese-English vocabulary paired associates. The relative benefit of spacing increased with increased practice and with longer retention intervals. Data were fitted with an activation-based memory model, which proposes that each time an item is…
Descriptors: Memory, Vocabulary, Models, Investigations
Rosen, Marvin J. – 1968
An experiment was designed to compare two alternative procedures for revising a preliminary version of an instructional program, one based on a subjective analysis of the program's behavioral goals, the other on an objective analysis of test data obtained from a trial of the unrevised program. Conforming to an experimental model, 20…
Descriptors: Achievement Rating, Comparative Analysis, Data Analysis, Educational Experiments
Craig, Eleanor D.; And Others – 1977
The paper discusses an experiment in which regression analysis was used to examine predictors of information retention following a college economics course. It was hypothesized that students taught in small classes with self-instructional materials would place a higher value on basic economic concepts and retain these concepts longer than students…
Descriptors: Achievement Rating, Class Size, Cognitive Measurement, Comparative Analysis