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Direct linkTansomboon, Charissa; Gerard, Libby F.; Vitale, Jonathan Michael; Linn, Marcia C. – AERA Online Paper Repository, 2016
While automated guidance in online units has been found to successfully support learning, students can sometimes feel alienated rather than motivated due to computerized guidance seeming impersonal. In this study, we explore ways to improve learning and motivation by personalizing adaptive guidance. Standard adaptive guidance is compared to more…
Descriptors: Web Based Instruction, Inquiry, Active Learning, Science Instruction
Vitale, Jonathan M.; McBride, Elizabeth; Linn, Marcia C. – International Journal of Science Education, 2016
We compared two forms of automated guidance to support students' understanding of climate change in an online inquiry science unit. For "specific" guidance, we directly communicated ideas that were missing or misrepresented in student responses. For "knowledge integration" guidance, we provided hints or suggestions to motivate…
Descriptors: Climate, Change, Comparative Analysis, Science Instruction
Gerard, Libby F.; Spitulnik, Michele; Linn, Marcia C. – Journal of Research in Science Teaching, 2010
This study investigated how professional development featuring evidence-based customization of technology-enhanced curriculum projects can improve inquiry science teaching and student knowledge integration in earth science. Participants included three middle school sixth-grade teachers and their classes of students (N = 787) for three consecutive…
Descriptors: Evidence, Inquiry, Science Instruction, Faculty Development
