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Wilawan Phothong; Jiraporn Chaimongkol; Luecha Ladachart – Journal of Technology Education, 2023
This study examines the influence of design-based learning on 25 eighth-grade students' design-thinking mindsets, that is, on the mental outlook that they adopt habitually when they engage in design thinking. It also compares changes in design-thinking mindsets across individuals of different genders and different levels of experience in design.…
Descriptors: Design, Concept Formation, Learning Processes, Thinking Skills
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Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning
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Katherine Perrotta; Jeffrey Keese – Teacher Educator, 2025
Although MAT pedagogy-only programs provide opportunities for career changers and college graduates with an expedited pathway into a teaching career while working and attending graduate school, there are concerns regarding whether these teachers possess strong subject matter knowledge. The purpose of this study is to examine MAT pedagogy-only…
Descriptors: Needs Assessment, Social Studies, Knowledge Level, Masters Degrees
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Lifen, He; Junying, Yong – English Language Teaching, 2016
Perception is the reconstruction and interaction between the new information and prior knowledge in mind or in the process of internalization about the new information. It has three teaching procedures: First, teachers elicit the learners to acquire text meaning. Second, teachers create situation in practical teaching. Third, learners comprehend…
Descriptors: Foreign Countries, Middle Schools, English (Second Language), Second Language Instruction
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Fortner, C. Kevin; Kershaw, David C.; Bastian, Kevin C.; Lynn, Heather H. – Teachers College Record, 2015
Background/Context: In response to a shortage of highly qualified teachers, states and school districts have enacted a number of policy innovations over the last two decades. While researchers have evaluated many of these reforms, little is known about the initial effectiveness of individuals with prior teaching assistant experience. We review…
Descriptors: Teacher Persistence, Teacher Aides, Teacher Characteristics, Teacher Effectiveness
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Khunyakari, Ritesh P. – Contemporary Education Dialogue, 2015
Enabling learning through meaningful classroom experiences has always been a challenge for teachers. Bringing about a balance of the "conceptual" and the "hands-on", along with contextual embeddedness in problem-solving situations, broadly characterises the experience of development and trials of three Design and Technology…
Descriptors: Foreign Countries, Middle School Students, Experiential Learning, Problem Solving
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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
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection