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Melissa Lee; Chun-Wei Huang; Kelly Collins; Mingyu Feng – Grantee Submission, 2025
Math anxiety has been found to negatively correlate with math achievement, affecting students' choices to take fewer math classes and avoid math educational opportunities. Educational technology tools can ameliorate some of the negative effects of math anxiety. We examined students' math anxiety, effort in an educational technology platform, and…
Descriptors: Correlation, Mathematics Anxiety, Mathematics Achievement, Outcomes of Education
Herman, Keith C.; Prewett, Sara L.; Eddy, Colleen L.; Savala, Alyson; Reinke, Wendy M. – Grantee Submission, 2020
This study examined the stress and coping patterns of middle school teachers. A final teacher sample of 102 and student sample of 1450 agreed to participate in the study. We conducted a latent profile analysis of the teachers' self-reported levels of stress and coping at the beginning of the school year and used the resulting profiles to predict…
Descriptors: Profiles, Middle School Teachers, Anxiety, Coping
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
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
Mrazek, Alissa J.; Mrazek, Michael D.; Cherolini, Casey M.; Cloughesy, Jonathan N.; Cynman, David J.; Schooler, Jonathan W. – Grantee Submission, 2019
Digital mindfulness-based interventions (d-MBIs) present a promising path for the scalable dissemination of mindfulness instruction in the 21st century. Smartphone applications and web-based platforms can offer potential advantages over traditional face-to-face formats through enhanced accessibility, standardization, personalization, and efficacy…
Descriptors: Futures (of Society), Metacognition, Barriers, Stress Variables
Chan, Jenny Yun-Chen; Sawrey, Katharine; Hulse, Taylyn; Ottmar, Erin – Grantee Submission, 2020
This study examined if and how thinking time, defined as the time from the start of the problem to the students' first action to solve, influences their problem-solving efficiency, defined as the number of steps taken to solve the problem, using Graspable Math, a web-based mathematical tool. We found that: (1) students who took longer to think…
Descriptors: Mathematics Instruction, Mathematics Anxiety, Algebra, Problem Solving
Joseph Wong; Natalie Au Yeung; Bella Lerner; Lindsey Richland – Grantee Submission, 2021
Historically, learning for young students has occurred in formal, in-person classroom environments. But in just a matter of weeks, children were mandated to transition to a completely new mode of learning, facing new learning challenges with heightened anxieties. To this end, we aim to better understand how our learning experience design (LXD)…
Descriptors: Instructional Design, Learner Engagement, Video Technology, Online Courses