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Direct linkRitz, Leah T.; Buss, Alan R. – TechTrends: Linking Research and Practice to Improve Learning, 2016
Increasing availability of immersive virtual reality (IVR) systems, such as the Cave Automatic Virtual Environment (CAVE) and head-mounted displays, for use in education contexts is providing new opportunities and challenges for instructional designers. By highlighting the affordances of IVR specific to the CAVE, the authors emphasize the…
Descriptors: Models, Alignment (Education), Instructional Design, Affordances
Kriegel, Otis – Educational Leadership, 2016
In this article, veteran educator Otis Kriegel provides eight questions that teachers can ask themselves as they create or tweak lesson plans. With practical, straightforward advice, Kriegel suggests that teachers be mindful of who their audience is, how much students already know, and what materials they'll need. He also urges teachers to…
Descriptors: Lesson Plans, Audience Awareness, Prior Learning, Knowledge Level
Wei, Yiwen – ProQuest LLC, 2019
The purpose of this study was to explore the issue of social class in art education. As mentioned in my theoretical framework underlying this study, Bourdieu (1973/2000) used the term "cultural capital" as forms of knowledge, tastes, and practices to explain the relationship between knowledge and power in the field of education. I…
Descriptors: Social Class, Art Education, Cultural Capital, Visual Arts
Download full textSalahli, Mehmet Ali; Özdemir, Muzaffer; Yasar, Cumali – International Education Studies, 2013
One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…
Descriptors: Individualized Instruction, Electronic Learning, Educational Technology, Profiles
Nitko, Anthony J. – 1976
The placement and diagnostic tests used in instructional systems designed to be adaptive to the individual learner's characteristics are examined. The necessity of pretesting students before instruction is questioned. According to the author, both the necessity for and the content of the Individually Prescribed Instruction (IPI) type of pretest…
Descriptors: Adaptive Testing, Branching, Computer Assisted Testing, Decision Making
Hansen, Duncan N. – 1969
An input output model for individualizing learning in computer-assisted instruction (CAI) is analyzed, specifying a stimulus array, cognitive processes, and response requirements. These three components are discussed as keys to both instructional and curricular development processes; the appropriate use and control of instructional strategies are…
Descriptors: Behavioral Objectives, Branching, College Students, Computer Assisted Instruction
