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Joaquín Cañero-Arias; Ángel Blanco-López; José María Oliva – International Journal of Science Education, 2024
This research integrates context-based learning and modelling. It presents a teaching-learning sequence (TLS) about the dissolution of gases in liquids using carbonated drinks as the context. The impact of the TLS is analysed in a longitudinal short-term study involving two groups of learners aged 13-14 years old (n=53). The results led us to…
Descriptors: Foreign Countries, Science Instruction, Models, Secondary School Science
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Wen, Cai-Ting; Chang, Chia-Jung; Chang, Ming-Hua; Fan Chiang, Shih-Hsun; Liu, Chen-Chung; Hwang, Fu-Kwun; Tsai, Chin-Chung – Instructional Science: An International Journal of the Learning Sciences, 2018
This study investigated students' modeling progress and strategies in a problem-solving simulation game through content analysis, and through supervised and unsupervised lag sequential analysis (LSA). Multiple data sources, including self-report models and activity logs, were collected from 25 senior high school students. The results of the…
Descriptors: Educational Games, Simulation, Problem Solving, Models
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Käser, Tanja; Schwartz, Daniel L. – International Educational Data Mining Society, 2019
Open-ended learning environments (OELEs) allow students to freely interact with the content and to discover important principles and concepts of the learning domain on their own. However, only some students possess the necessary skills for efficient and effective exploration. Guidance in the form of targeted interventions or feedback therefore has…
Descriptors: Educational Environment, Interaction, Cluster Grouping, Models
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Chen, Chen; Schneps, Matthew H.; Sonnert, Gerhard – Journal of Science Education and Technology, 2016
Teachers choosing between different models to facilitate students' understanding of an abstract system must decide whether to adopt a model that is simplified and striking or one that is realistic and complex. Only recently have instructional technologies enabled teachers and learners to change presentations swiftly and to provide for learning…
Descriptors: High School Students, Secondary School Science, Science Education, Models
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Duncan, Ravit Golan; Choi, Jinnie; Castro-Faix, Moraima; Cavera, Veronica L. – Science & Education, 2017
Learning progressions (LPs) are hypothetical models of how learning in a domain develops over time with appropriate instruction. In the domain of genetics, there are two independently developed alternative LPs. The main difference between the two progressions hinges on their assumptions regarding the accessibility of classical (Mendelian) versus…
Descriptors: Genetics, Learning Processes, Sequential Learning, Sequential Approach
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Baeten, Marlies; Simons, Mathea – Journal of Education for Teaching: International Research and Pedagogy, 2016
This study focuses on student teachers' team teaching. Two team teaching models (sequential and parallel teaching) were applied by 14 student teachers in a quasi-experimental design. When implementing new teaching models, it is important to take into account the perspectives of all actors involved. Although learners are key actors in the teaching…
Descriptors: Team Teaching, Teaching Methods, Quasiexperimental Design, Sequential Approach
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Min, Wookhee; Wiggins, Joseph B.; Pezzullo, Lydia G.; Vail, Alexandria K.; Boyer, Kristy Elizabeth; Mott, Bradford W.; Frankosky, Megan H.; Wiebe, Eric N.; Lester, James C. – International Educational Data Mining Society, 2016
Recent years have seen a growing interest in intelligent game-based learning environments featuring virtual agents. A key challenge posed by incorporating virtual agents in game-based learning environments is dynamically determining the dialogue moves they should make in order to best support students' problem solving. This paper presents a…
Descriptors: Prediction, Models, Intelligent Tutoring Systems, Computer Simulation
US House of Representatives, 2005
H.R. 366, the Vocational and Technical Education for the Future Act, strengthens and improves the Carl D. Perkins Vocational and Technical Education Act by enhancing local accountability, introducing model sequences of courses that incorporate both secondary and postsecondary elements in a non-duplicative progression of courses, and merging the…
Descriptors: Grants, Tech Prep, State Aid, School Councils
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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