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Wan, Lydia; Crawford, Renée; Jenkins, Louise – Journal of Research in Music Education, 2023
In this study, we explored the ways in which listening tools within technology-mediated environments can facilitate children's self-regulation of instrumental music learning between lessons. This interpretive multiple case study utilized a software application assigned for 22 weeks to a piano teacher and four students (ages 8-10). Data sources…
Descriptors: Music Education, Metacognition, Familiarity, Problem Solving
Georgiou, Kyriakoula; Angeli, Charoula – International Association for Development of the Information Society, 2019
The development of computational thinking is as important as writing, reading and arithmetic, and, it should start as early as kindergarten (Wing, 2008). However, little has been done in terms of investigating the factors influencing the development of computational thinking in preschool education (Bers et al., 2014; Ching et al., 2018; Kazakoff…
Descriptors: Teaching Methods, Thinking Skills, Scaffolding (Teaching Technique), Preschool Children
Reima Al-Jarf – Online Submission, 2024
Multimodal learning refers to teaching strategies that involve multiple sensory systems simultaneously. Teachers can create materials for students with different learning styles (auditory, visual, kinesthetic reading, and writing). Multimodal learning keeps students engaged, encourages them to apply what they learn in real-life situations,…
Descriptors: Grammar, Multimedia Instruction, Problem Solving, Student Projects
Rastegarmoghadam, Mahin; Ziarati, Koorush – Education and Information Technologies, 2017
Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is…
Descriptors: Teaching Methods, Problem Solving, Intelligent Tutoring Systems, Educational Technology
Angeli, Charoula; Valanides, Nicos – Educational Technology Research and Development, 2013
The present study investigated the problem-solving performance of 101 university students and their interactions with a computer modeling tool in order to solve a complex problem. Based on their performance on the hidden figures test, students were assigned to three groups of field-dependent (FD), field-mixed (FM), and field-independent (FI)…
Descriptors: College Students, Computer System Design, Cognitive Style, Immigration
Budak, Sirin; Roy, George – Technology, Instruction, Cognition and Learning, 2013
The purpose of this study was to investigate the effect of technology on one student's solution methods when solving mathematical tasks that included algebra word problems. The student was presented with context tasks in both paper-pencil and computer environments. The results of this study revealed that the student's solution methods differed in…
Descriptors: Problem Solving, Word Problems (Mathematics), Algebra, Preferences
Franklin, Jason M. – PEPNet 2, 2013
The Essential Skills Team knows that each student has a unique learning style, home and school environment, academic and personal strengths and experiences, and family backgrounds. One of the goals when creating the Essential Skills Campus was to provide resources that harness the strengths and experiences students bring with them to their first…
Descriptors: Thinking Skills, Study Skills, Goal Orientation, Cognitive Style
Jablokow, Kathryn; Vercellone-Smith, Pamela – Advances in Engineering Education, 2011
With the rise of e-Learning in engineering education, understanding the impact of individual differences on the ways students communicate and collaborate on-line has become increasingly important. The research described here investigates the influence of cognitive style on the interactions within student social networks in an on-line learning…
Descriptors: Engineering, Engineering Education, Electronic Learning, Online Courses
Angeli, Charoula; Valanides, Nicos – Educational Technology Research and Development, 2004
Sixty-five undergraduates were classified into field-dependent, field-mixed, and field-independent learners, and were randomly assigned to two groups: text-only and text-and-visual. Participants in the text-only group received a description of a model in textual format, whereas participants in the other group received the same description in…
Descriptors: Statistical Analysis, Instructional Materials, Cognitive Style, Problem Solving
Hunt, Earl; Lansman, Marcy – 1984
This project was designed to construct a single theoretical framework for the analysis of problem solving and real time "attention and performance" behavior. The model was developed as a computer program. It was designed in a similar manner to that of various problem solving simulations that use the "production system"…
Descriptors: Attention, Cognitive Processes, Cognitive Style, Computer Simulation
Wigglesivorth, John C. – Journal of Geography, 2003
This paper summarizes a research project conducted to investigate the strategies developed by middle school students to solve a route-finding problem using Arc View GIS software. Three different types of route-finding strategies were identified. Some students were visual route-finders and used a highly visual strategy; others were logical route…
Descriptors: Middle School Students, Computer Software, Cognitive Mapping, Navigation
Dempsey, John V.; And Others – 1996
Games have long been used as instructional tools, but actual research examining that concept has been sparse. Increased sophistication and lower cost in hardware and software for personal computers has created a budding movement to incorporate computer games into learning environments. This paper discusses criteria for selecting an instructional…
Descriptors: Cognitive Style, Computer Games, Computer Simulation, Computer Software
Peer reviewedZock, M.; And Others – Computers and the Humanities, 1989
Describes a computer program under development that is to be used as a tool for theory builders, teachers, and students in language learning. This is an interactive program and not only helps the learning of a language but also provides analysis on how language is learned. Questions if computers learn. (GG)
Descriptors: Cognitive Development, Cognitive Psychology, Cognitive Style, Computer Assisted Instruction
Pennington, Nancy – 1985
The difficulty of computer programming and other design tasks is a function of the multiple abstractions that combine to form a program's meaning. Thus, comprehension of the final form of a program design, the program text, involves retrieving multiple sets of relationships between parts. The research presented here addresses which, if any,…
Descriptors: Adults, Cognitive Ability, Cognitive Processes, Cognitive Style
Peer reviewedAllen, Jean; And Others – Journal of Computing in Childhood Education, 1993
Sixteen at-risk minority children in a preschool program were tested to assess their performance in programming with LOGO Plus software. When programming concepts and the command structure were presented at developmentally appropriate levels, the subjects performed as well as other samples of preschoolers. The minority children did not exhibit any…
Descriptors: Cognitive Style, Competence, Computer Assisted Instruction, Computer Software
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