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Showing 1 to 15 of 20 results Save | Export
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Steininger, Tim M.; Wittwer, Jörg; Voss, Thamar – Instructional Science: An International Journal of the Learning Sciences, 2022
Successful teaching requires that student teachers acquire a conceptual understanding of teaching practices. A promising way to promote such a conceptual understanding is to provide student teachers with examples. We conducted a 3 (between-subjects factor "example format": reading, generation, classification) x 4 (within-subjects factor…
Descriptors: Student Teachers, Learning Processes, Lesson Plans, Reading
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Nadja Beeler; Esther Ziegler; Andreas Volz; Alexander A. Navarini; Manu Kapur – Advances in Health Sciences Education, 2024
Even though past research suggests that visual learning may benefit from conceptual knowledge, current interventions for medical image evaluation often focus on procedural knowledge, mainly by teaching classification algorithms. We compared the efficacy of pure procedural knowledge (three-point checklist for evaluating skin lesions) versus…
Descriptors: Foreign Countries, Premedical Students, Undergraduate Students, Medicine
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Chin-Parker, Seth; Cantelon, Julie – Cognitive Science, 2017
This paper provides evidence for a contrastive account of explanation that is motivated by pragmatic theories that recognize the contribution that context makes to the interpretation of a prompt for explanation. This study replicates the primary findings of previous work in explanation-based category learning (Williams & Lombrozo, 2010),…
Descriptors: Context Effect, Prompting, Generalization, Classification
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Hung, Ruyu – Educational Philosophy and Theory, 2016
In Confucianism, the subject of learning is one of the most important concerns. For centuries, Confucian thinkers have been devoted to seeking answers to questions such as, how to be a morally noble and decent human being? (??), how to be a true and moral human being--a noble man? (junzi, ??) and how to learn to be a junzi? A "junzi" can…
Descriptors: Confucianism, Criticism, Epistemology, Classification
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Qin, Fen; Li, Kai; Yan, Jianyuan – British Journal of Educational Technology, 2020
Artificial Intelligence (AI) has penetrated the field of education. Trust has long been regarded as a driver for the acceptance of technology. Netnography and interviews were used to investigate trust in AI-based educational systems from the perspective of users. We identified the factors influencing trust in AI-based educational systems and…
Descriptors: Trust (Psychology), Artificial Intelligence, Classification, Context Effect
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Shliakhovchuk, Elena; Muñoz García, Adolfo – Educational Sciences: Theory and Practice, 2020
The video-game industry has become a significant force in the business and entertainment world. Video games have become so widespread and pervasive that they are now considered a part of the mass media, a common method of storytelling and representation. Despite the massive popularity of video games, their increasing variety, and the…
Descriptors: Video Games, Cultural Awareness, Intercultural Communication, Cooperation
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Hwang, Gwo-Haur; Chen, Beyin; Chen, Ru-Shan; Wu, Ting-Ting; Lai, Yu-Ling – Interactive Learning Environments, 2019
Competitive game-based learning has been widely discussed in terms of its positive and negative impacts on learners' learning effectiveness and learning behavior. Although different types of games require different kinds of knowledge to accomplish the task via competition, few studies have considered that knowledge types, such as procedural…
Descriptors: Student Behavior, Adoption (Ideas), Competition, Game Based Learning
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Roberson, Bill; Franchini, Billie – Journal on Excellence in College Teaching, 2014
Group and team tasks are the culminating outputs of student learning in team and collaborative learning environments. How they are conceived and designed, therefore, can directly determine the success of the pedagogical strategy. A key design issue for creating effective tasks is how best to focus student knowledge, observation, and analysis…
Descriptors: Cooperative Learning, Teamwork, College Students, College Faculty
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Fernandez Aleman, J. L.; Palmer-Brown, D.; Jayne, C. – IEEE Transactions on Education, 2011
This paper presents the results of a project on generating diagnostic feedback for guided learning in a first-year course on programming and a Master's course on software quality. An online multiple-choice questions (MCQs) system is integrated with neural network-based data analysis. Findings about how students use the system suggest that the…
Descriptors: Foreign Countries, Learning Processes, Computer Assisted Instruction, Electronic Learning
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Liu, Jun; Sha, Sha; Zheng, Qinghua; Zhang, Wei – International Journal of Distance Education Technologies, 2012
Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…
Descriptors: Foreign Countries, Knowledge Level, Difficulty Level, Educational Technology
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Chin-Parker, Seth; Ross, Brian H. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
Category knowledge allows for both the determination of category membership and an understanding of what the members of a category are like. Diagnostic information is used to determine category membership; prototypical information reflects the most likely features given category membership. Two experiments examined 2 means of category learning,…
Descriptors: Inferences, Classification, Learning Processes, Comparative Analysis
Doherty, Victor W.; Hathaway, Walter E. – 1974
The increasing trend toward the formulation of student learnings in goal-based rather than textbook-based organizations, and the steadily growing concern for openness and flexibility in education have created a pressing need for a comprehensive, validated system for classification of knowledge, process, and value student learnings. Such a system…
Descriptors: Academic Achievement, Classification, Educational Needs, Educational Objectives
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Donald, Janet G. – Journal of Higher Education, 1983
The knowledge structure in a course determines what strategies students need in order to learn the subject matter and what methods a teacher may use to teach it. The conceptual structures in university courses were analyzed to provide a baseline for understanding the characteristics and organization of course content. (Author/MLW)
Descriptors: Classification, Concept Formation, Course Content, Curriculum Design
Donald, Janet G. – 1984
Methods of optimizing instruction through the use of course knowledge portrayal methods were studied, based on a series of experiments conducted over 6 years. Sixteen university courses in the sciences, social sciences, and humanities were investigated through the application of cognitive theory to instruction. Attention was first focused on…
Descriptors: Classification, Cognitive Ability, College Instruction, Concept Formation
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Adam, Najma; Zosky, Diane L.; Unrau, Yvonne A. – Journal of Teaching in Social Work, 2004
Research courses are associated with performance anxiety and educational insecurity for many social work students. This paper makes the case that student anxiety associated with research courses is rooted in the history of the social work profession, and this history sheds light on the present day climate of research in social work education. The…
Descriptors: Anxiety, Social Work, Curriculum, Graduate Study
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