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Daniel, Ana Dias – Industry and Higher Education, 2016
Entrepreneurship education has generated considerable interest in recent decades, largely attributable to the evidence of the positive impact of small and medium-sized enterprises on economic growth, job creation, innovation and wealth generation. Since the first entrepreneurship course was held in 1947 at Harvard University, countless courses and…
Descriptors: Entrepreneurship, Design Preferences, Thinking Skills, Teaching Methods
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McElhaney, Kevin W.; Chang, Hsin-Yi; Chiu, Jennifer L.; Linn, Marcia C. – Studies in Science Education, 2015
Dynamic visualisations capture aspects of scientific phenomena that are difficult to communicate in static materials and benefit from well-designed scaffolds to succeed in classrooms. We review research to clarify the impacts of dynamic visualisations and to identify instructional scaffolds that mediate their success. We use meta-analysis to…
Descriptors: Science Curriculum, Science Materials, Visualization, Evidence
Faryadi, Qais; Bakar, Zainab Abu; Maidinsah, Hamidah; Muhamad, Aminuddin – Online Submission, 2007
This critical assessment attempts to define a good instructional design through the eyes and the minds of renowned scholars and the most outspoken educational psychologists such as Gagne, John Keller, Jerome Bruner, and Richard E. Mayer and so on. This examination also discusses ways in directing the mental map of students for better knowledge…
Descriptors: Instructional Design, Classroom Environment, Multimedia Instruction, Instructional Effectiveness
Holcomb, Caroline; And Others – Performance Improvement Quarterly, 1996
Examines the relationship between instructional design (ID) activities and perceived project success. Analysis was based on interviews with 40 practicing instructional designers involved in 77 ID projects. Results indicate that designers don't implement all the ID activities prescribed by traditional models and that certain activities are…
Descriptors: Conventional Instruction, Design Preferences, Instructional Design, Instructional Effectiveness
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Winn, William – Educational Media International, 1999
Discusses the use of virtual environments (VEs) in teaching and learning. Examines the characteristics of effective VE in learning environments, looking at the added value produced by immersion, whereby students learn directly rather than through difficult symbol systems. Many apprehensions about VE are corrected, and the conclusions drawn are…
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Design Preferences, Educational Environment
Spitzer, Dean R. – Educational Technology, 1998
Argues that the tendency to focus on the technical aspects of distance learning contributes to the infrequency of distance learning methods usage in education and training. Discusses the technical and human dimensions of distance learning, resistance to change, user perspective, and inertia and entropy. Outlines 10 human dimension principles…
Descriptors: Appropriate Technology, Computer Assisted Instruction, Design Preferences, Distance Education
Quinn, James; And Others – 1996
A dilemma in designing computer simulations for instruction is how to provide a challenging exploratory environment and yet provide sufficient support so that students do not become lost. Directive support such as corrective feedback may detract from the exploratory quality of a simulation. Two methods of non-directive support are: (1) simplifying…
Descriptors: Computer Assisted Instruction, Computer Simulation, Cooperative Learning, Design Preferences