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)…

Collaboration is a complex, multidimensional process; however, details of how multimodal features intersect and mediate group interactions have not been fully unpacked. Characterizing and analyzing the temporal patterns based on multimodal features is a challenging yet important work to advance our understanding of computer-supported collaborative…

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…

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…

Previous research comparing communicative to non-communicative computer-mediated tasks requiring output production found an advantage in L2 vocabulary learning efficiency in favor of the communicative task (Hughes, 2023). The present study analyzes the chat data from Hughes (2023) to determine what features of interaction may have contributed to…

This multiple case study examined L2 listener patterns of interaction with help options in computer-assisted language learning (CALL) materials. Thirteen students enrolled in an initial English teacher education program interacted with six one-hour listening tasks constructed around talks on technology. Talks and associated exercises were uploaded…

While the existing CALL literature identifies a range of positive learning outcomes for second language acquisition (SLA) that may be achieved through digital game-based activities, Peterson (2013) points to the need for additional theory-led research to shed more light on the learning processes involved. To this end, a case study was carried out…

This article builds on the intersection of educational process mining and the automatic analysis of student's collaborative interaction data previously collected from a web-based multi-tabletop learning environment. The main focus of the article was to analyze and interpret the data using several process mining techniques in order to increase the…

The study presented in this article explores the ways in which discursive-technologies shape interaction in "digitally-mediated" educational settings in terms of affordances and constraints for the participants. Our multi-scale sociocultural-dialogical analysis of the interactional order in the online sessions of an "Italian for…

Cross-cultural friendships and peer interactions are important skills for Latino students to become socially adjusted in U.S. schools. Culturally responsive social skill instruction allows educators to teach essential social skills while attending to the native culture and personal experiences of the students. The present study examined the…

This paper presents the results of a micro-genetic analysis of the development of a creative solution arrived at by students working collaboratively to solve a robotics problem in a sixth grade science classroom. Results indicate that four aspects of the enacted curriculum proved important to developing the creative solution, including the…

This paper addresses the lack of formalised methodology for analysing learner interaction data created in conversations on audiographic platforms. First the author shows the importance of conversations in language learning and the need for researchers to understand how users learn from these interactions. Then the author establishes that…

This article is a methodological contribution to the use of design experiments in educational research. We will discuss the implications of a historical and situated interpretation to design experiments, the consequences this has for the analysis of the collected data and empirically based suggestions to improve the designs of the computer-based…

A risk associated with the use of games in training and education is that players "game the game," instead of focusing on their learning goals. The term "gamer mode" is proposed to describe this attitude. A player with a gamer-mode attitude strives to achieve goals that are optimal for winning the game, but suboptimal with…

This paper describes use of social network analysis to examine student interaction patterns in a Grade 5/6 Knowledge Building class. The analysis included face-to-face interactions and interactions in the Knowledge Forum[R] Knowledge Building environment. It is argued that sociogram data are useful to reveal group processes; in sociological terms,…