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Végh, Ladislav – Acta Didactica Napocensia, 2016
The first data structure that first-year undergraduate students learn during the programming and algorithms courses is the one-dimensional array. For novice programmers, it might be hard to understand different algorithms on arrays (e.g. searching, mirroring, sorting algorithms), because the algorithms dynamically change the values of elements. In…
Descriptors: Animation, Programming, Mathematical Logic, Computer Simulation
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Martinez, Michael E.; Peters Burton, Erin E. – Educational Media International, 2011
The "cyberinfrastucture" is a broad informational network that entails connections to real-time data sensors as well as tools that permit visualization and other forms of analysis, and that facilitates access to vast scientific databases. This multifaceted network, already a major boon to scientific discovery, now shows exceptional promise in…
Descriptors: Visualization, Educational Technology, STEM Education, Cognitive Processes
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Sanders, Janet H.; Udoka, Silvanus J. – Simulation & Gaming, 2010
Fundamental concepts and definitions of electronic learning (eLearning) continue to emerge, and theories of eLearning that have been advanced thus far cover an array of academic perspectives including training and education, learning and knowledge, and technology and applications to specific market segments. Any study of the effectiveness and…
Descriptors: Electronic Learning, Program Effectiveness, Manufacturing, Virtual Classrooms
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Chow, Meyrick; Chan, Lawrence – Computers & Education, 2010
Information technology (IT) has the potential to improve the clinical learning environment. The extent to which IT enhances or detracts from healthcare professionals' role performance can be expected to affect both student learning and patient outcomes. This study evaluated nursing students' satisfaction with a novel compartmental Picture…
Descriptors: Nursing Students, Nursing Education, Visualization, Biomedicine
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Rafi, Ahmad; Samsudin, Khairulanuar – British Journal of Educational Technology, 2009
An experimental study involving 30 undergraduates (mean age = 20.5 years) in mental rotation (MR) training was conducted in an interactive Desktop Mental Rotation Trainer (iDeMRT). Stratified random sampling assigned students into one experimental group and one control group. The former trained in iDeMRT and the latter trained in conventional…
Descriptors: Experimental Groups, Control Groups, Computer Assisted Instruction, Statistical Analysis
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Moor, Brian D.; Deek, Fadi P. – Journal of Information Technology Education, 2006
Few beginners find learning to program easy. There are many factors at work in this phenomenon with some being simply inherent in the subject itself, while others have more to do with deficiencies in learning methods and resources. As a result, many programming environments, software applications, and learning tools have been developed to address…
Descriptors: Constructivism (Learning), Visual Learning, Visual Aids, Visualization
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Glahn, Christian; Specht, Marcus; Koper, Rob – Educational Technology & Society, 2009
Contextualised and ubiquitous learning are relatively new research areas that combine the latest developments in ubiquitous and context aware computing with educational approaches in order to provide structure to more situated and context aware learning. The majority of recent activities in contextualised and ubiquitous learning focus on mobile…
Descriptors: Interaction, Group Activities, Learner Engagement, Student Participation
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Botturi, Luca – Australasian Journal of Educational Technology, 2004
This paper introduces the Quail Model, a device for the classification and visualisation of learning goals. The model is a communication tool that can smoothen the discussion within a course design team, support shared understanding, and improve decision making. Its theoretical background mingles contributions from instructional design (Bloom,…
Descriptors: Instructional Design, Models, Classification, Visualization