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Fergusson, Anna; Pfannkuch, Maxine – Statistics Education Research Journal, 2022
Tasks for teaching predictive modelling and APIs often require learners to use code-driven tools. Minimal research, however, exists about the design of tasks that support the introduction of high school students and teachers to these new statistical and computational methods. Using a design-based research approach, a web-based task was developed.…
Descriptors: High School Teachers, Statistics Education, Prediction, Mathematical Models
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Duckworth, Angela L.; White, Rachel E.; Matteucci, Alyssa J.; Shearer, Annie; Gross, James J. – Journal of Educational Psychology, 2016
A growing body of research indicates that self-control is critical to academic success. Surprisingly little is known, however, about the diverse strategies students use to implement self-control or how well these strategies work. To address these issues, the author conducted a naturalistic investigation of self-control strategies (Study 1) and 2…
Descriptors: Self Control, High School Students, Interpersonal Relationship, Conflict Resolution
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Ramnarain, Umesh – EURASIA Journal of Mathematics, Science & Technology Education, 2015
In South Africa, there is a strong curriculum imperative for South African school science teachers to not only involve learners in practical inquiry activities but also to support students in making a connection between the construction of substantive scientific knowledge to these activities. The research reported in this article investigated the…
Descriptors: Video Equipment, Case Studies, Science Education, Chemistry
Kai, Shiming; Paquette, Luc; Baker, Ryan S.; Bosch, Nigel; D'Mello, Sidney; Ocumpaugh, Jaclyn; Shute, Valerie; Ventura, Matthew – International Educational Data Mining Society, 2015
Increased attention to the relationships between affect and learning has led to the development of machine-learned models that are able to identify students' affective states in computerized learning environments. Data for these affect detectors have been collected from multiple modalities including physical sensors, dialogue logs, and logs of…
Descriptors: Video Technology, Interaction, Physics, Affective Behavior
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Piehler, Timothy F.; Dishion, Thomas J. – Developmental Psychology, 2014
In a sample of 711 ethnically diverse adolescents, the observed interpersonal dynamics of dyadic adolescent friendship interactions were coded to predict early adulthood tobacco, alcohol, and marijuana use. Deviant discussion content within the interactions was coded along with dyadic coregulation (i.e., interpersonal coordination, attention…
Descriptors: Early Parenthood, Drinking, Substance Abuse, Marijuana
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Scott, Terrance M.; Alter, Peter J.; Hirn, Regina G. – Education and Treatment of Children, 2011
Classrooms are complex social systems in which teachers and students interact in a variety of ways across contexts. Of issue is both the nature and frequency of teachers' use of what typically are considered effective instructional practice and the typical manner in which students respond to different teacher behaviors. This study expands upon…
Descriptors: Student Behavior, Academic Achievement, Behavior Disorders, Classroom Techniques