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Mara Cotic; Daniel Doz; Matija Jenko; Amalija Žakelj – International Electronic Journal of Mathematics Education, 2024
The evolution of mathematics coincided with advancements in its teaching. The 19th and 20th centuries marked a pedagogical revolution in mathematics education. This paper argues that Bruner's (1966) model, Gagné's (1985) taxonomy, innovative teaching methods emphasizing research and problem-solving, and the inclusion of data analysis topics have…
Descriptors: Mathematics Education, Mathematics Instruction, Educational History, Mathematics Achievement
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Santi, George; Baccaglini-Frank, Anna – PNA, 2015
We shift the view of a special needs student away from the acknowledged view, that is as a student who requires interventions to restore a currently expected functioning behaviour, introducing a new paradigm to frame special needs students' learning of mathematics. We use the theory of objectification and the new paradigm to look at (and…
Descriptors: Mathematics Instruction, Learning Problems, Generalization, Special Needs Students
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Houts, Lisa M.; Taylor, James C. – Journal of College Teaching & Learning, 2008
The production and operations management class offered at California State University, Fresno underwent a transformation from being a four-unit, face-to-face course to a hybrid course. This hybrid course, which is required for all students in the Craig School of Business, includes two units of face-to-face instruction each week, with some coverage…
Descriptors: Grades (Scholastic), Academic Achievement, College Students, Blended Learning
Vogel, Jennifer J.; Greenwood-Ericksen, Adams; Cannon-Bowers, Jan; Bowers, Clint A. – Journal of Research on Technology in Education, 2006
A subcategory of computer-assisted instruction (CAI), games have additional attributes such as motivation, reward, interactivity, score, and challenge. This study used a quasi-experimental design to determine if previous findings generalize to non simulation-based game designs. Researchers observed significant improvement in the overall population…
Descriptors: Teaching Methods, Mathematics Skills, Computer Simulation, Quasiexperimental Design
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Fund, Z. – Journal of Computer Assisted Learning, 2007
This study examined the effect of scaffolding learning components in a computerized environment, for students solving qualitative science problems in a simulation of laboratory experiments. Four scaffolding components were identified (structural, reflective, subject-matter and enrichment) and used in different configurations to construct four…
Descriptors: Comparative Analysis, Reading Comprehension, Control Groups, Scaffolding (Teaching Technique)
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Pijls, Monique; Dekker, Rijkje; van Hout-Wolters, Bernadette – International Journal of Computers for Mathematical Learning, 2003
Investigations with the computer can have different functions in the mathematical learning process, such as to let students explore a subject domain, to guide the process of reinvention, or to give them the opportunity to apply what they have learned. Which function has most effect on mathematical level raising? We investigated that question in…
Descriptors: Probability, Investigations, Mathematical Concepts, Secondary School Students
Ohlsson, Stellan – 1992
The role of prior knowledge in skill acquisition is to enable the learner to detect and to correct errors. Computational mechanisms that carry out these two functions are implemented in a simulation model which represents prior knowledge in "constraints". The model learns symbolic skills in mathematics and science by noticing and…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Computer Simulation, Feedback
Ohlsson, Stellan – 1990
Prior research on learning has been linked to instruction by the derivation of general principles of instructional design from learning theories. However, such design principles are often difficult to apply to particular instructional issues. A new method for relating research on learning to instructional design is proposed: Different ways of…
Descriptors: Arithmetic, Artificial Intelligence, Cognitive Processes, Computer Simulation