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ERIC Number: ED630659
Record Type: Non-Journal
Publication Date: 2019-Jun
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Computerized Text Analysis: Assessment and Research Potentials for Promoting Learning
Lee, Hee-Sun; McNamara, Danielle; Bracey, Zoë Buck; Wilson, Christopher; Osborne, Jonathan; Haudek, Kevin C.; Liu, Ou Lydia; Pallant, Amy; Gerard, Libby; Linn, Marcia C.; Sherin, Bruce
Grantee Submission, Paper presented at the International Conference on Computer Supported Collaborative Learning (13th, Lyon, France, 2019)
Rapid advancements in computing have enabled automatic analyses of written texts created in educational settings. The purpose of this symposium is to survey several applications of computerized text analyses used in the research and development of productive learning environments. Four featured research projects have developed or been working on: (1) equitable automated scoring models for scientific argumentation for English Language Learners; (2) a real-time, adjustable formative assessment system to promote student revision of uncertainty-infused scientific arguments; (3) a web-based annotation tool to support student revision of scientific essays; and (4) a new research methodology that analyzes teacher-produced text in online professional development courses. These projects will provide unique insights towards assessment and research opportunities associated with a variety of computerized text analysis approaches. [This paper was published in: "13th International Conference on Computer Supported Collaborative Learning Proceedings," 2019, pp. 743-750.]
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Center for Education Research (NCER) (ED/IES); National Science Foundation (NSF)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R305A190063; DRL1561149; DRL1220756; DRL1418019; DRL1451604; DRL1418423; DRL1417757