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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
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
Shaimi, Fatin Nur Dania; Shaharudin, Shazlyn Milleana; Adnan, Mazlini – International Journal of Educational Methodology, 2023
The purpose of this systematic literature review (SLR) is to identify: (a) the topic of the study, (b) the research methods used, and (c) the results of research on Mathematics education in Malaysia. This study discusses the use of teaching aid (TA) in the field of syllabus and geometry for Form 2 students. The use of TA is considered highly…
Descriptors: Student Interests, Mathematics Instruction, Teaching Methods, Instructional Effectiveness
Albano, Giovannina; Coppola, Cristina; Fiorentino, Giuseppe – International Journal for Technology in Mathematics Education, 2021
In this paper we analyse the role of the teacher in a Digital interactive Storytelling in Mathematics (DiST-M) activity. involved in the story as a character (the Guru, a math expert), the teacher acts as a mediator in students' problem-solving process. We analyse how the teacher may orchestrate the mathematical discussions to allow students…
Descriptors: Teacher Role, Mathematics Instruction, Story Telling, Problem Solving
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
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
Lee, Sungwoong; Ke, Fengfeng – Journal of Computer Assisted Learning, 2019
A promising method to support game-based learning is to facilitate learners' externalization of cognitive and metacognitive processes. Externalizing Problem Representation (EPR) refers to a cognitive behaviour in which a learner constructs her own representations overtly. The purpose of this study is to investigate whether learning supports…
Descriptors: Teaching Methods, Computer Assisted Instruction, Mathematical Concepts, Computer Games
Priyadi, Ahmad; Kuswanto, Heru – Journal of Technology and Science Education, 2023
This research aims to: (1) develop a feasible Android-based comic media of Gajah Mungkur Dam, and (2) reveal the effectiveness of the developed comic media in improving mathematical representation and critical thinking abilities on the materials of work and energy. The research subjects are senior high school students, consisting of 262 students…
Descriptors: High School Seniors, Cartoons, Computer Games, Mathematics Instruction
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
Porter, J. – Journal of Computer Assisted Learning, 2018
Tablets have much to offer children with learning difficulties, but evidence of their effectiveness to teach academic skills is limited and cannot be easily separated from the quality of the software. This paper analyses data from 3 iterative cycles of designing an app for children with Down syndrome to support their awareness of quantity through…
Descriptors: Down Syndrome, Computer Software, Learning Problems, Handheld Devices
Fowler, Samuel; O'Keeffe, Lisa; Cutting, Chelsea; Leonard, Simon – Australian Primary Mathematics Classroom, 2019
Understanding spatial reasoning is important to success in mathematics. This article shows how the proficiency strands in the "Australian Curriculum: Mathematics" provide the tools needed for effective teaching and learning of spatial thinking.
Descriptors: Spatial Ability, Thinking Skills, Mathematics Instruction, Mathematics Achievement
Rodríguez-Aflecht, G.; Jaakkola, T.; Pongsakdi, N.; Hannula-Sormunen, M.; Brezovszky, B.; Lehtinen, E. – Journal of Computer Assisted Learning, 2018
The present study focused on 212 fifth graders' situational interest trajectories during an intervention with a digital mathematics game called Number Navigation. Our aims were to explore the development of situational interest whilst playing the game and to investigate the relationship between situational interest and individual math interest.…
Descriptors: Computer Games, Mathematics Instruction, Intervention, Teaching Methods
Hofman, Abe D.; Brinkhuis, Matthieu J. S.; Bolsinova, Maria; Klaiber, Jonathan; Maris, Gunter; van der Maas, Han L. J. – Journal of Intelligence, 2020
One of the highest ambitions in educational technology is the move towards personalized learning. To this end, computerized adaptive learning (CAL) systems are developed. A popular method to track the development of student ability and item difficulty, in CAL systems, is the Elo Rating System (ERS). The ERS allows for dynamic model parameters by…
Descriptors: Teaching Methods, Computer Assisted Instruction, Difficulty Level, Individualized Instruction
Tokac, Umit; Novak, Elena; Thompson, Christopher G. – Journal of Computer Assisted Learning, 2019
This meta-analysis investigated the effects of learning video games on mathematics achievement of PreK-12th-grade students compared with traditional classroom instructional methods. Results from the 24 collected studies showed heterogeneity among effect sizes, both in magnitude and direction. Using a random effects model, a small but marginally…
Descriptors: Meta Analysis, Mathematics Instruction, Mathematics Achievement, Teaching Methods
Baker, Joseph M.; Martin, Taylor; Aghababyan, Ani; Armaghanyan, Armen; Gillam, Ronald – Technology, Knowledge and Learning, 2015
Advances in educational neuroscience have made it possible for researchers to conduct studies that observe concurrent behavioral (i.e., task performance) and neural (i.e., brain activation) responses to naturalistic educational activities. Such studies are important because they help educators, clinicians, and researchers to better understand the…
Descriptors: Computer Games, Mathematics, Neurosciences, Brain
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