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Tansomboon, Charissa; Gerard, Libby F.; Vitale, Jonathan M.; Linn, Marcia C. – International Journal of Artificial Intelligence in Education, 2017
Supporting students to revise their written explanations in science can help students to integrate disparate ideas and develop a coherent, generative account of complex scientific topics. Using natural language processing to analyze student written work, we compare forms of automated guidance designed to motivate productive revision and help…
Descriptors: Automation, Guidance, Revision (Written Composition), Natural Language Processing
Mirchin, Robert Douglas – ProQuest LLC, 2012
This research study is an investigation of student-laboratory (i.e., lab) learning based on students' perceptions of experiences using questionnaire data and evidence of their science-laboratory performance based on paper-and-pencil assessments using Maryland-mandated criteria, Montgomery County Public Schools (MCPS) criteria, and published…
Descriptors: High School Students, Student Attitudes, Academic Achievement, Science Achievement
Evagorou, Maria; Jimenez-Aleixandre, Maria Pilar; Osborne, Jonathan – International Journal of Science Education, 2012
A problem that is still unexplored in the field of socioscientific issues (SSI) and that was explored in this study is how different students decide upon a SSI they are discussing, how their justifications change during the instruction and how they use (or not) the evidence from the learning environment to support their justifications. For the…
Descriptors: Relevance (Education), Evidence, Student Attitudes, Foreign Countries

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