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Isabel White; William Zahner; Alexander White – International Journal of Research & Method in Education, 2025
This report validates a novel quantitative methodology for analyzing moment-to-moment interactions in classrooms called the Poisson Process Methodology (PPM). PPM differs from moment-to-moment qualitative and quantitative analyzes typically used in education by using time-series data to quantify the degree to which the presence of facilitator…
Descriptors: Small Group Instruction, Problem Solving, Mathematics Instruction, Facilitators (Individuals)
Peck, Frederick A. – For the Learning of Mathematics, 2022
In this paper I analyze a problem solving event in a secondary mathematics classroom. As the event unfolds, the teachers, including me, understand the event as involving interactions that were not related to learning. By adopting an expansive view of learning, I advance a different interpretation, that the interactions tell a story of student…
Descriptors: Mathematics Instruction, Secondary School Students, Learning Processes, Personal Autonomy
Jingwan Tang – ProQuest LLC, 2023
This study aims to explore the validity of measuring joint attention through gaze coordination in computer-supported collaborative learning (CSCL) research. Gaze coordination, aligning visual attention in social contexts, aids comprehension and communication. Many CSCL researchers use gaze coordination to gauge joint attention quantitatively.…
Descriptors: Mathematics Instruction, Problem Solving, Cooperative Learning, Eye Movements
Dicle Çolpan Güngördü; Zahide Yildirim – Education and Information Technologies, 2025
Online communities of practice (online CoP) have emerged as a viable method for teacher professional development regarding the emphasis on teacher networks for effective professional development and the elimination of some restrictions with online learning. Moreover, most technology integration studies examine teacher-centered technology…
Descriptors: Mathematics Instruction, Teaching Methods, Communities of Practice, Elementary School Teachers
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
Essien, Anthony A. – ZDM: Mathematics Education, 2021
The teaching of mathematics is mostly done with tasks that learners and teachers do or solve, in and outside of class. These tasks, which are used to illustrate concepts in mathematics, are referred to in this paper as examples in mathematics. Examples that teachers choose and use are fundamental to what mathematics is taught and learned, and what…
Descriptors: Multilingualism, Probability, Mathematics Instruction, Teaching Methods
Hansen, Ellen Kristine Solbrekke; Naalsund, Margrethe – International Electronic Journal of Mathematics Education, 2022
Many studies in mathematics education have emphasized the importance of attending to students' interactions, particularly, their mathematical reasoning when collaborating on solving problems. However, the question of how teachers can facilitate students' productive interactions for learning mathematics, is still a challenging one. This case study…
Descriptors: Teaching Methods, Problem Solving, Mathematics Instruction, Teacher Student Relationship
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
Jasien, Lara; Gresalfi, Melissa – Journal of the Learning Sciences, 2021
Background: We explore how school-based mathematical experiences shape out-of-school mathematical experiences, developing the idea that learners hybridize norms and practices around authority and evaluation across these two contexts. To situate our study, we build on constructs of participatory identity and framing. Methods: Drawing from a large…
Descriptors: Self Concept, Mathematics Instruction, Informal Education, Video Technology
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
Conati, Cristina; Gutica, Mirela – International Journal of Artificial Intelligence in Education, 2016
We present the results of a study that explored the emotions experienced by students during interaction with an educational game for math (Heroes of Math Island). Starting from emotion frameworks in affective computing and education, we considered a larger set of emotions than in related research. For emotion labeling, we started from a standard…
Descriptors: Educational Games, Emotional Response, Evaluators, Interrater Reliability
Eckert, Andreas; Nilsson, Per – Journal of Mathematics Teacher Education, 2017
This study examines an interactional view on teaching mathematics, whereby meaning is co-produced with the students through a process of negotiation. Further, teaching is viewed from a symbolic interactionism perspective, allowing the analysis to focus on the teacher's role in the negotiation of meaning. Using methods inspired by grounded theory,…
Descriptors: Mathematics Instruction, Mathematics Activities, Probability, Teacher Role
Hoppe, H. Ulrich – International Journal of Artificial Intelligence in Education, 2016
The 1998 paper by Martin Mühlenbrock, Frank Tewissen, and myself introduced a multi-agent architecture and a component engineering approach for building open distributed learning environments to support group learning in different types of classroom settings. It took up prior work on "multiple student modeling" as a method to configure…
Descriptors: Guidelines, Intelligent Tutoring Systems, Cooperative Learning, Modeling (Psychology)
Meisuri; Sinar, T. Silvana; Gurning, Busmin; Zein, T. Tyrhaya – Advances in Language and Literary Studies, 2018
This paper deals with the interaction pattern between teacher and students in the real classroom lessons. This study was primarily conducted to determine the patterns of classroom interaction produced by the teachers and learners during the class sessions in the bilingual middle-school classrooms in Medan City, Indonesia. The data were spoken…
Descriptors: Classroom Communication, Assignments, Bilingual Education, Foreign Countries
Ingram, Jenni; Pitt, Andrea; Baldry, Fay – Research in Mathematics Education, 2015
There has been a long history of research into errors and their role in the teaching and learning of mathematics. This research has led to a change to pedagogical recommendations from avoiding errors to explicitly using them in lessons. In this study, 22 mathematics lessons were video-recorded and transcribed. A conversation analytic (CA) approach…
Descriptors: Mathematics Instruction, Error Correction, Protocol Analysis, Protocol Materials