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Wood, Brenna K.; Hojnoski, Robin L.; Laracy, Seth D.; Olson, Christopher L. – Topics in Early Childhood Special Education, 2016
Although, collectively, results of earlier direct observation studies suggest momentary time sampling (MTS) may offer certain technical advantages over whole-interval (WIR) and partial-interval (PIR) recording, no study has compared these methods for measuring engagement in young children in naturalistic environments. This study compared direct…
Descriptors: Young Children, Research Methodology, Observation, Intervals
Seebeck, Kelly A. – ProQuest LLC, 2016
The purpose of this study was to identify if special education teachers' self-efficacy beliefs are impacted by student engagement, instructional strategies, and classroom management. Specifically, this study focused on the self-efficacy of high school special education teachers in an urban setting. This was a correlational quantitative design…
Descriptors: Special Education Teachers, Self Efficacy, Teacher Effectiveness, High School Students
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Strati, Anna D.; Schmidt, Jennifer A.; Maier, Kimberly S. – Journal of Educational Psychology, 2017
This study explored associations between students' perceptions of challenge, teacher-provided support and obstruction, and students' momentary academic engagement in high school science classrooms. Instrumental and emotional dimensions of support and obstruction were examined separately, and analyses tested whether the relationship between…
Descriptors: Student Attitudes, Barriers, Teacher Role, Learner Engagement
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Deasley, Shanna; Evans, Mary Ann; Nowak, Sarah; Willoughby, David – Canadian Journal of School Psychology, 2018
In a sample of 128 Canadian junior kindergarten children (66 boys), we examined sex differences in emergent literacy and behaviour when listening to and interacting with books of four types: alphabet books with simple text and illustrations, traditional alphabet books with complex text and illustrations, alphabet eBooks, and illustrated…
Descriptors: Foreign Countries, Gender Differences, Emergent Literacy, Reading Habits
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Ryu, Suna; Lombardi, Doug – Educational Psychologist, 2015
This article characterizes "engagement in science learning" from a sociocultural perspective and offers a mixed method approach to measuring engagement that combines critical discourse analysis (CDA) and social network analysis (SNA). Conceptualizing engagement from a sociocultural perspective, the article discusses the advantages of a…
Descriptors: Coding, Classroom Communication, Language Usage, Sociocultural Patterns
Arnold, Bradley A. – ProQuest LLC, 2018
The purpose of this qualitative case study was to develop descriptions of how teenage students remain engaged in learning while using mobile technology. Developments in technology have expanded learning contexts and provided learners with improved capacities to connect with others to exchange, gain, and construct knowledge. Developments in…
Descriptors: Middle School Students, Telecommunications, Learning Activities, Qualitative Research
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Van den Berghe, Lynn; Cardon, Greet; Tallir, Isabel; Kirk, David; Haerens, Leen – Physical Education and Sport Pedagogy, 2016
Background: According to the classroom ecology paradigm, teachers and students interpret, predict, and respond to each other repeatedly in a reciprocal way. Such a reciprocal relationship is reflected in bidirectional interactions between a teacher's behavior and student (dis)engagement, an issue that has been confirmed in longitudinal studies…
Descriptors: Learner Engagement, Physical Education, Video Technology, Teaching Methods
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Sarwar, Muhammad; Ashrafi, Ghulam Muhammad – Current Issues in Education, 2014
The purpose of this study was to analyze Students' Commitment, Engagement and Locus of Control as predictors of Academic Achievement at Higher Education Level. We used analytical model and conclusive research approach to conduct study and survey method for data collection. We selected 369 students using multistage sampling technique from three…
Descriptors: Locus of Control, Learner Engagement, Academic Achievement, College Students
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Haakma, Ineke; Janssen, Marleen; Minnaert, Alexander – American Annals of the Deaf, 2016
Because little is known about teacher-student relationships that involve students with acquired deafblindness, the authors performed a multiple case study with a multiple-method design to investigate the relationship between need-supportive teaching behaviors and student engagement. Using self-determination theory (Deci & Ryan, 2000), they…
Descriptors: Correlation, Teacher Behavior, Student Motivation, Deaf Blind
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Pardos, Zachary A.; Baker, Ryan S. J. D.; San Pedro, Maria O. C. Z.; Gowda, Sujith M.; Gowda, Supreeth M. – Journal of Learning Analytics, 2014
In this paper, we investigate the correspondence between student affect and behavioural engagement in a web-based tutoring platform throughout the school year and learning outcomes at the end of the year on a high-stakes mathematics exam in a manner that is both longitudinal and fine-grained. Affect and behaviour detectors are used to estimate…
Descriptors: Affective Behavior, Student Behavior, Learner Engagement, Web Based Instruction
Dykstra, Jessica Ruth – ProQuest LLC, 2013
Given the rising prevalence rates of autism spectrum disorders (ASD), schools are serving an increasing number of students with ASD (Scull & Winkler, 2011). Researchers have highlighted active engagement as a critical component of effective interventions for students with ASD (National Research Council, 2001), yet there is limited research…
Descriptors: Autism, Pervasive Developmental Disorders, Learner Engagement, Classroom Environment
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection