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Matthew Finster; Lauren Decker-Woodrow; Barbara Booker; Craig A. Mason; Shihfen Tu; Ji-Eun Lee – Grantee Submission, 2023
COVID-19 contributed to the largest student performance decline in mathematics since 1990. The nation needs cost-effective mathematic interventions to address this drop and improve students' mathematics performance. This study presents a cost-effectiveness analysis (CEA) of three algebraic technological applications, across four conditions:…
Descriptors: COVID-19, Pandemics, Mathematics Instruction, Mathematics Achievement
Jenny Yun-Chen Chan; Erin R. Ottmar; Ji-Eun Lee – Grantee Submission, 2022
We examined the influences of pre-solving pause time, algebraic knowledge, mathematics self-efficacy, and mathematics anxiety on middle-schoolers' strategy efficiency in an algebra learning game. We measured strategy efficiency using (a) the number of steps taken to complete a problem; (b) the proportion of problems completed on the initial…
Descriptors: Problem Solving, Algebra, Self Efficacy, Mathematics Anxiety
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Lee, Ji-Eun; Hornburg, Caroline Byrd; Chan, Jenny Yun-Chen; Ottmar, Erin – Grantee Submission, 2021
We investigated the effects of proximal grouping of numbers, problem-solving goals to make 100, and prior knowledge on students' solution strategies in an online mathematics game. Logistic regression on 857 problem-level data points from 227 middle-school students showed that students were more likely to use productive solution strategies on…
Descriptors: Mathematics Instruction, Teaching Methods, Middle School Students, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Chan, Jenny Yun-Chen; Lee, Ji-Eun; Mason, Craig A.; Sawrey, Katharine; Ottmar, Erin – Grantee Submission, 2021
Understanding equivalence is fundamental to STEM disciplines, yet misunderstandings and misconceptions inhibit students from fully appreciating or leveraging the concept. Using the game-based algebraic notation system, From Here to There! (FH2T), students explore ideas of equivalence by dynamically transforming expressions or equations among…
Descriptors: Middle School Students, Mathematics Instruction, Prior Learning, Teaching Methods
Jamie J. Jirout; Sierra Eisen; Zoe S. Robertson; Tanya M. Evans – Grantee Submission, 2022
Play is a powerful influence on children's learning and parents can provide opportunities to learn specific content by scaffolding children's play. Parent-child synchrony (i.e., harmony, reciprocity and responsiveness in interactions) is a component of parent-child interactions that is not well characterized in studies of play. We tested whether…
Descriptors: Play, Mothers, Parent Child Relationship, Executive Function
Dore, Rebecca A.; Shirilla, Marcia; Hopkins, Emily; Collins, Molly; Scott, Molly; Shatz, Jacob; Lawson-Adams, Jessica; Valladares, Tara; Foster, Lindsey; Puttre, Hannah; Toub, Tamara Spiewak; Hadley, Elizabeth; Golinkoff, Roberta M.; Dickinson, David; Hirsh-Pasek, Kathy – Grantee Submission, 2019
Despite the prevalence of educational apps for children, there is little evidence of their effectiveness for learning. Here, children were asked to learn ten new words in a narrative mobile game that requires children use knowledge of word meanings to advance the game. Study 1 used a lab-based between-subjects design with middle-SES 4-year-olds…
Descriptors: Vocabulary Development, Computer Software, Preschool Children, Language Tests
Proske, Antje; Roscoe, Rod D.; McNamara, Danielle S. – Grantee Submission, 2014
Achieving sustained student engagement with practice in computer-based writing strategy training can be a challenge. One potential solution is to foster engagement by embedding practice in educational games; yet there is currently little research comparing the effectiveness of game-based practice versus more traditional forms of practice. In this…
Descriptors: Educational Games, Computer Games, Student Motivation, Academic Achievement