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Book chapter
Assessment and instructional decision making: How AI can support data literacy development for preservice teachers
Exploring new horizons: generative artificial intelligence and teacher education, pp.129-144
2024
Abstract
Mary Jean Tecce DeCarlo, William Lynch, Vera Lee, Daniel Moix, and Valerie Klein emphasize generative AI's role in augmenting preservice teachers’ data-driven decision-making skills, which is crucial for enhancing student outcomes in today's assessment-centric educational environment. They provide specific examples of how generative AI can assist in modeling learning analytics and crafting both simulated and authentic assessment tasks.
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Details
- Title
- Assessment and instructional decision making: How AI can support data literacy development for preservice teachers
- Creators
- Mary Jean Tecce DeCarlo - Drexel University, School of EducationWilliam F Lynch - Drexel University, School of EducationVera J. Lee - Drexel University, School of EducationDaniel Wayne Moix - Drexel University, Computer Science (Computing)Valerie E Klein - Drexel University, School of Education
- Contributors
- Michael Searson (Editor) - Kean UniversityElizabeth Langran (Editor) - Marymount UniversityJason Trumble (Editor) - University of Central Arkansas
- Publication Details
- Exploring new horizons: generative artificial intelligence and teacher education, pp.129-144
- Publisher
- AACE, Association for the Advancement of Computing in Education; Waynesville, North Carolina
- Number of pages
- 16
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Education; Computer Science (Computing)
- Identifiers
- 1939797756; 9781939797759; 991021970699404721