Implementing and Evaluating ASSISTments Online Math Homework Support at Large Scale over Two Years: Findings and Lessons Learned [Konferenzbericht] Paper presented at the Annual Meeting of the International Conference on Artificial Intelligence in Education (24th, Tokyo, Japan, Jul 3-7, 2023).

Autor/inn/en	Feng, Mingyu; Heffernan, Neil; Collins, Kelly; Heffernan, Cristina; Murphy, Robert F.
Titel	Implementing and Evaluating ASSISTments Online Math Homework Support at Large Scale over Two Years: Findings and Lessons Learned [Konferenzbericht] Paper presented at the Annual Meeting of the International Conference on Artificial Intelligence in Education (24th, Tokyo, Japan, Jul 3-7, 2023).
Quelle	(2023), (12 Seiten)Verfügbarkeit
Zusatzinformation	ORCID (Feng, Mingyu) ORCID (Heffernan, Neil) Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; Monographie
Schlagwörter	Homework; Artificial Intelligence; Computer Assisted Instruction; Feedback (Response); Mathematics Instruction; Mathematics Achievement; Secondary School Students; Grade 7; Program Implementation; Program Evaluation; Electronic Learning; North Carolina + Suchen Sie Ihr Suchwort? Hausaufgabe; Künstliche Intelligenz; Computer based training; Computerunterstützter Unterricht; Mathematics lessons; Mathematikunterricht; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Sekundarschüler; School year 07; 7. Schuljahr; Schuljahr 07; Programme evaluation; Programmevaluation
Abstract	Math performance continues to be an important focus for improvement. The most recent National Report Card in the U.S. suggested student math scores declined in the past two years possibly due to COVID-19 pandemic and related school closures. We report on the implementation of a math homework program that leverages AI-based one-to-one technology, in 32 schools for two years as a part of a randomized controlled trial in diverse settings of the state of North Carolina in the US. The program, called "ASSISTments," provides feedback to students as they solve homework problems and automatically prepares reports for teachers about student performance on daily assignments. The paper describes the sample, the study design, the implementation of the intervention, including the recruitment effort, the training and support provided to teachers, and the approaches taken to assess teacher's progress and improve implementation fidelity. Analysis of data collected during the study suggest that (a) treatment teachers changed their homework review practices as they used ASSISTments, and (b) the usage of ASSISTments was positively correlated with student learning outcome. (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01