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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
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Gerard, Libby F.; Ryoo, Kihyun; McElhaney, Kevin W.; Liu, Ou Lydia; Rafferty, Anna N.; Linn, Marcia C. – Journal of Educational Psychology, 2016
In 4 classroom experiments we investigated uses for technologies that automatically score student generated essays, concept diagrams, and drawings in inquiry curricula. We used the automatic scores to assign typical and research-based guidance and studied the impact of the guidance on student progress. Seven teachers and their 897 students…
Descriptors: Automation, Scoring, Guidance, Inquiry
Bollin, Andreas – 1998
This paper presents a World Wide Web-based electronic feedback system for use in lectures and practical classes. The system is based on Java and provides a configurable feedback form, a managing tool for administrators, and a statistics viewer for presenting the generated statistical data in various ways. In addition, it generates a statistical…
Descriptors: Automation, Computer System Design, Computer Uses in Education, Course Evaluation