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Andrew Olewnik; Randy Yerrick; Mike Eastman – European Journal of Engineering Education, 2024
This study explores students' initial engagement with ill-structured problems before and after the introduction of engineering problem typology as a framework for problem engagement and reflection. Using problem discussions, debrief interviews, and qualitative analysis of written artifacts, we considered observed changes to students' initial…
Descriptors: Undergraduate Students, Engineering Education, Problem Solving, Classification
Saba Gerami – ProQuest LLC, 2024
In this dissertation I explore instructors' work with instructional tasks as they plan to introduce various representations of derivatives. Drawing on the notion of "framing" from sociology, I adopt a situative lens to study calculus instructors' planning of instructional tasks. I rely on Herbst and Chazan's (2012) notion of…
Descriptors: Calculus, Mathematics Teachers, Mathematics Instruction, Teaching Methods
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Insani, Metri Dian; Pratiwi, Novida; Muhardjito, M. – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2019
This research was aimed at profiling student's thinking skills in dealing with Higher-Order Thinking Skills (HOTS) questions based on Marzano taxonomy by referring to 13 indicators. This pre-experimental research employed pretest-posttest design. The indicators included were comparison, classification, deductive reasoning, inductive reasoning,…
Descriptors: Biology, Taxonomy, Science Instruction, Thinking Skills
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Shroff, Ronnie Homi; Ting, Fridolin Sze Thou; Lam, Wai Hung – Australasian Journal of Educational Technology, 2019
This article reports on the design, development, and validation of a new instrument, the Technology-Enabled Active Learning Inventory (TEAL), to measure students' perceptions of active learning in a technology-enabled learning context. By laying the theoretical foundation, a conceptual framework for technology-enabled active learning was…
Descriptors: Student Attitudes, Active Learning, Validity, Measures (Individuals)
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Goldberg, Nisse A.; Ingram, Kathleen W. – Journal of the Scholarship of Teaching and Learning, 2011
Active-learning techniques have been advocated as a means to promote student engagement in lower-division biology courses. In this case study, mini-lectures in combination with active-learning activities were evaluated as strategies to promote a culture of learning and participation in a required botany course. These activities were designed to…
Descriptors: Learner Engagement, Feedback (Response), Educational Strategies, Concept Mapping
Nallure Balasubramanian, Vineeth – ProQuest LLC, 2010
The fields of pattern recognition and machine learning are on a fundamental quest to design systems that can learn the way humans do. One important aspect of human intelligence that has so far not been given sufficient attention is the capability of humans to express when they are certain about a decision, or when they are not. Machine learning…
Descriptors: World Problems, Intelligence, Lifelong Learning, Prediction
Fogarty, Robin; Opeka, Kay – 1988
Noting that the ability to think critically and creatively can be encouraged even in the very young, this book provides practical strategies and lesson plans for introducing children in kindergarten through grade 3 to the fun and rigors of skillful thinking. The first set of four lessons is designed to start children thinking and to lay the…
Descriptors: Active Learning, Brainstorming, Classification, Cognitive Processes
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Olson, Judith; Olson, Melfried – Teaching Children Mathematics, 1997
These activities explore classification and logical reasoning by providing students with opportunities to generate multiple answers and engage in multiple classifications of the same item. No solutions are suggested so that students will look to themselves as the mathematical authorities. Sample items for classification include birthday months,…
Descriptors: Active Learning, Classification, Critical Thinking, Elementary Education
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis