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Lonneke Boels; Arthur Bakker; Wim Van Dooren; Paul Drijvers – Educational Studies in Mathematics, 2025
Many students persistently misinterpret histograms. This calls for closer inspection of students' strategies when interpreting histograms and case-value plots (which look similar but are different). Using students' gaze data, we ask: "How and how well do upper secondary pre-university school students estimate and compare arithmetic means of…
Descriptors: Secondary School Students, Learning Strategies, Data Interpretation, Graphs
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Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
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Gal, Ya'akov; Uzan, Oriel; Belford, Robert; Karabinos, Michael; Yaron, David – Journal of Chemical Education, 2015
A process for analyzing log files collected from open-ended learning environments is developed and tested on a virtual lab problem involving reaction stoichiometry. The process utilizes a set of visualization tools that, by grouping student actions in a hierarchical manner, helps experts make sense of the linear list of student actions recorded in…
Descriptors: Virtual Classrooms, Laboratory Experiments, Online Courses, Electronic Learning
Hoagland, Donald B. – Bioscene, 1993
Describes an easy-to-use, inexpensive field trip/laboratory exercise designed to delineate the home ranges of small animals. Students participate in the design of the exercise; collection, analysis, and interpretation of data; and the presentation of results. Contains 19 references. (DDR)
Descriptors: Biology, College Curriculum, Data Analysis, Data Collection
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Phillips, Mark P. – Science Activities, 1992
Describes the construction of durable, inexpensive and large sand-hourglasses for use in controlled experiments that allow students to observe, infer, measure, record data, and predict. This hands-on activity is designed to take place over a three-day interval. Includes materials needed, techniques, procedures, follow-up activities, and resource…
Descriptors: Concept Formation, Data Collection, Data Interpretation, Discovery Learning