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Anastasia Chouvalova; Anisha S. Navlekar; Devin J. Mills; Mikayla Adams; Sami Daye; Fatima De Anda; Lisa B. Limeri – International Journal of STEM Education, 2024
Background: Students employ a variety of study strategies to learn and master content in their courses. Strategies vary widely in their effectiveness for promoting deep, long-term learning, yet most students use ineffective strategies frequently. Efforts to educate students about effective study strategies have revealed that knowledge about…
Descriptors: Undergraduate Students, Error Patterns, Student Attitudes, Learning Strategies
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Qian Huangfu; Zhouying Luo; Ying Cao; Weijia Wu – Chemistry Education Research and Practice, 2023
Errors are natural elements of the learning process and provide a high potential to promote students' learning outcomes. In recent years, there has been much research about learning from errors. However, we know little about the relationship between students' error beliefs in chemistry and chemistry learning outcomes at present. Thus, the aim of…
Descriptors: Error Patterns, Learning Processes, Chemistry, Science Instruction
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Schwichow, Martin; Brandenburger, Martina; Wilbers, Jens – International Journal of Science Education, 2022
Designing and interpreting controlled experiments are important inquiry skills addressed in many current science curricula. The relevant skills associated with the design and interpretation of controlled experiments are summarised under the term control-of-variables strategy (CVS). Research on elementary school students' CVS skills shows that they…
Descriptors: Research Design, Inquiry, Elementary School Students, Comparative Analysis
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies
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Betancourt-Perez, Rosa; Olivera, Luis Javier; Rodriguez, Julio E. – Journal of Chemical Education, 2010
This study examines how well second-year nonmajor organic chemistry students are learning to draw, interpret, and understand resonance-related structures. Students were tested seven times throughout an academic year using a set of four tasks that reflected their understanding of what these structures represent and how they relate to each other.…
Descriptors: Organic Chemistry, Knowledge Level, Science Instruction, Nonmajors
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