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Zhang, Hongyang; Wink, Donald J. – Journal of Chemical Education, 2021
This paper uses evidence-centered assessment design (ECD) to structure and analyze a laboratory activity where students collect and represent titration curve data to determine acid strength in terms of molarity and dissociation constant. Following principles of multidimensional learning, the activity prompts students to demonstrate knowledge of…
Descriptors: Chemistry, Science Instruction, Evidence, Laboratory Experiments
Jaeger, Allison J.; Taylor, Andrew R.; Wiley, Jennifer – Journal of Educational Psychology, 2016
Understanding many scientific phenomena, processes, or systems may be especially dependent on a student's ability to visualize or manipulate spatial information in order to construct mental representations. One instructional technique often included in science texts to help students to understand difficult concepts is the use of concrete or…
Descriptors: Scientific Concepts, Spatial Ability, Logical Thinking, Science Experiments
Viennot, Laurence; de Hosson, Cécile – International Journal of Science Education, 2015
This research documents the aims and the impact of a teaching experiment on how the absorption of light depends on the thickness of the absorbing medium. This teaching experiment is more specifically characterized as bringing to bear a "concept-driven interactive pathway". It is designed to make students analyse the absorption of light…
Descriptors: Science Instruction, Scientific Concepts, Light, Science Experiments
Hance, Trevor – Science and Children, 2014
Designing opportunities for students to discover core science concepts can be challenging, however, with a good understanding of their interests, proper planning, and the use of technology and the outdoors, students can become engaged in a way that can leave a legacy for future students. Last fall, this author designed a nine-session unit for a…
Descriptors: Science Instruction, Scientific Concepts, Teaching Methods, Grade 4
Sao Pedro, Michael A.; Baker, Ryan S. J. d.; Gobert, Janice D. – Grantee Submission, 2013
When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…
Descriptors: Educational Research, Data Collection, Data Analysis, Generalizability Theory

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