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)…

This study investigated the application of an artificial intelligence (AI) coach for second language (L2) learning in a primary school involving 327 participants. In line with Community of Inquiry, learners were expected to perceive social, cognitive, and teaching presences when interacting with the AI coach, which was considered a humanized…

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…

To assess the dynamical effects of creative interaction networks on team creativity evolution, this paper elaborates a theoretical framework that links the key elements of creative interaction networks, including node, edge and network structure, to creativity in teams. The process of team creativity evolution is divided into four phases,…

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…

Maternal responsive and directive speech to children at ages 0;10 and 2;0 was investigated by applying a procedure frst introduced by Flynn and Masur (2007) to a new language community (Finnish). The issues examined were consistency and stability over time, and also the role of responsiveness and directiveness in child linguistic development at…

Principles of a dynamic, dyadic systems view of mother-infant face-to-face communication, which considers self- and interactive processes in relation to one another, were tested. The process of interaction across time in a large low-risk community sample at infant age 4 months was examined. Split-screen videotape was coded on a 1-s time base for…

Research on the linguistic characteristics of university classroom discourse highlights the salience, in this register, of non-informational and subjective aspects of discourse. This dimension of classroom discourse, however, has not been studied systematically. Taking a corpus-based approach, this study investigates the non-informational…

In this study, we investigated effects of the proportion of language minority students in classrooms on the development of students' intrinsic motivation in language lessons and the mediating role of instructional climate (e.g., teacher support, focus on student interests). In addition, we explored the interaction between the proportion of…

This study proposes a new method named the IIS-map-based method for analyzing interactions in face-to-face collaborative learning settings. This analysis method is conducted in three steps: firstly, drawing an initial IIS-map according to collaborative tasks; secondly, coding and segmenting information flows into information items of IIS; thirdly,…

This report presents an analysis of an expert performing a highly interactive computer task. The analysis uses GOMS models, specifying the Goals, Operators, Methods, and Selection rules used by the expert; the GOMS models are implemented within a unified theory of cognition called Soar. Two models are presented, one with function-level operators,…

Researchers are now attempting to improve techniques for studying stable behavior patterns in family systems over long periods of time, e.g., the marital dyad across several levels of function and dysfunction covering time periods of months to years. One approach to improving this research design is based on the assumptions that longitudinal…

Trained observers used the Standardized Observation Codes III to observe interactive patterns within the homes of 23 mother-child dyads in which the mother had physically abused the child and 24 similar dyads with no history of abuse. Among other findings, results indicated the great classificatory and predictive value of this measurement.…

This paper describes the data collection, data analysis, and findings that point to the importance of instructional context as a factor in understanding the concepts teachers use when they process information about pupils in their classrooms, and the predictions they make about pupil success in learning. Three aspects of context are examined: (1)…

Direct observation and sequential analytic techniques were used to analyze rates, antecedents, and predictive sequences of aggressive behavior for 28 elementary school-aged children with emotional/behavioral disorders. Results indicated that low rates of positive social interactions characterized the daily classroom ecology of students displaying…