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Angeli, Charoula – Computers & Education, 2013
An investigation was carried out to examine the effects of cognitive style on learners' performance and interaction during complex problem solving with a computer modeling tool. One hundred and nineteen undergraduates volunteered to participate in the study. Participants were first administered a test, and based on their test scores they were…
Descriptors: Cognitive Style, Problem Solving, Undergraduate Students, Man Machine Systems
Lee, Chwee Beng – Computers & Education, 2013
The use of computers for learning is often a complex issue which involves cognitive and metacognitive concerns. This gives rise to our interest in examining the intention to use technology with relation to regulation of cognition. The use of technology for learning would necessarily require learners to exercise a certain level of regulation over…
Descriptors: Telecommunications, Age Differences, College Students, Gender Differences
Wu, Hsin-Kai; Lee, Silvia Wen-Yu; Chang, Hsin-Yi; Liang, Jyh-Chong – Computers & Education, 2013
Although augmented reality (AR) has gained much research attention in recent years, the term AR was given different meanings by varying researchers. In this article, we first provide an overview of definitions, taxonomies, and technologies of AR. We argue that viewing AR as a concept rather than a type of technology would be more productive for…
Descriptors: Educational Technology, Teaching Methods, Electronic Learning, Taxonomy
Hwang, Ming-Yueh; Hong, Jon-Chao; Cheng, Hao-Yueh; Peng, Yu-Chi; Wu, Nien-Chen – Computers & Education, 2013
Do girls have more competition anxiety and exogenous cognitive load than equally able boys during the playing of stressful competitive on-line games? This question led to the adoption of a technology acceptance model to compare the influence factors of competitors in sequential and synchronous games. Confirmatory factor analysis of the data on 220…
Descriptors: Difficulty Level, Factor Analysis, Cognitive Processes, Females
Cress, Ulrike; Held, Christoph; Kimmerle, Joachim – Computers & Education, 2013
Tag clouds generated in social tagging systems can capture the collective knowledge of communities. Using as a basis spreading activation theories, information foraging theory, and the co-evolution model of cognitive and social systems, we present here a model for an "extended information scent," which proposes that both collective and individual…
Descriptors: Online Searching, Search Strategies, Hypermedia, Social Networks
Agostinho, Shirley; Tindall-Ford, Sharon; Roodenrys, Kylie – Computers & Education, 2013
Based on cognitive load theory, it is well known that when studying a diagram that includes explanatory text, optimal learning occurs when the text is physically positioned close to the diagram as it eliminates the need for learners to split their attention between the two sources of information. What is not known is the effect on learning when…
Descriptors: Instructional Materials, Learning Strategies, Learning Processes, Protocol Analysis
Junco, Reynol; Cotten, Shelia R. – Computers & Education, 2012
The proliferation and ease of access to information and communication technologies (ICTs) such as Facebook, text messaging, and instant messaging has resulted in ICT users being presented with more real-time streaming data than ever before. Unfortunately, this has also resulted in individuals increasingly engaging in multitasking as an information…
Descriptors: College Students, Grade Point Average, Access to Information, Regression (Statistics)
Judd, Terry; Kennedy, Gregor – Computers & Education, 2011
Logs of on-campus computer and Internet usage were used to conduct a study of computer-based task switching and multitasking by undergraduate medical students. A detailed analysis of over 6000 individual sessions revealed that while a majority of students engaged in both task switching and multitasking behaviours, they did so less frequently than…
Descriptors: Undergraduate Students, Medical Students, Cognitive Processes, Internet
Kolloffel, Bas – Computers & Education, 2012
A student might find a certain representational format (e.g., diagram, text) more attractive than other formats for learning. Computer technology offers opportunities to adjust the formats used in learning environments to the preferences of individual learners. The question addressed in the current study was: does the match between a student's…
Descriptors: Cognitive Style, Visual Learning, Verbal Learning, Visualization
Wiebe, Eric N.; Minogue, James; Jones, M. Gail; Cowley, Jennifer; Krebs, Denise – Computers & Education, 2009
While there has been extensive experimental research on haptics, less has been conducted on cross-modal interactions between visual and haptic perception and even less still on cross-modal applications in instructional settings. This study looks at a simulation on the principles of levers using both visual and haptic feedback: one group received…
Descriptors: Feedback (Response), Eye Movements, Attention, Tactual Perception
Sang, Guoyuan; Valcke, Martin; van Braak, Johan; Tondeur, Jo – Computers & Education, 2010
Student teachers should be prepared to integrate information and communication technology (ICT) into their future teaching and learning practices. Despite the increased availability and support for ICT integration, relatively few teachers intend to integrate ICT into their teaching activities (e.g., Ertmer, 2005). The available research has thus…
Descriptors: Constructivism (Learning), Preservice Teachers, Self Efficacy, Path Analysis

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