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Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
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 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
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
Deena Hicks – ProQuest LLC, 2021
According to the Entertainment Software Association (2020), 70% (51.1 million) of children under the age of 18 are gamers in the United States and consume an average of two and a half hours per day playing digital-based games, making these games one of the most widely known leisure activities worldwide. Today's Net Generation (Kindergarten through…
Descriptors: Middle School Students, Middle School Teachers, Educational Games, 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
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Purgina, Marina; Mozgovoy, Maxim; Blake, John – Journal of Educational Computing Research, 2020
Gamification of language learning is a clear trend of recent years. Widespread use of smartphones and the rise of mobile gaming as a popular leisure activity contribute to the popularity of gamification, as application developers can rely on an unprecedented reach of their products and expect acceptance of game-like elements by the users. In terms…
Descriptors: Computer Games, Computer Simulation, Grammar, Computer Software
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Kayan, Adil; Aydin, Ibrahim Seçkin – World Journal of Education, 2020
Discussions on how grammar should be taught have continued for decades. Previous studies have reported that today's students called as Generation Z have shown negative attitudes toward grammar teaching with traditional methods and techniques, and that their academic achievements have failed to meet expectations. Not using methods and techniques…
Descriptors: Outcomes of Education, Computer Assisted Instruction, Educational Games, Computer Games
Smith, Stephen W.; Daunic, Ann P.; Algina, James; Pitts, Donna L.; Merrill, Kristen L.; Cumming, Michelle M.; Allen, Courtney – Journal of Emotional and Behavioral Disorders, 2017
Maladaptive adolescent behavior patterns often create escalating conflict with adults and peers, leading to poor long-term social trajectories. To address this, school-based behavior management often consists of contingent reinforcement for appropriate behavior, behavior reduction procedures, and placement in self-contained or alternative…
Descriptors: Self Control, Student Behavior, Emotional Disturbances, Behavior Disorders