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Joane Deneault; Natalie Lavoie – Journal of Educational Research, 2024
Little is known about students' engagement in school writing tasks and the methods that should be used by the researchers to assess this engagement. This exploratory study examines the relationship between the engagement reported by elementary school students (N = 136) in a handwriting and keyboarding activity (Likert scale questionnaire) and…
Descriptors: Learner Engagement, Handwriting, Keyboarding (Data Entry), Learning Activities
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Kinnebrew, John S.; Segedy, James R.; Biswas, Gautam – IEEE Transactions on Learning Technologies, 2017
Research in computer-based learning environments has long recognized the vital role of adaptivity in promoting effective, individualized learning among students. Adaptive scaffolding capabilities are particularly important in open-ended learning environments, which provide students with opportunities for solving authentic and complex problems, and…
Descriptors: Computer Assisted Instruction, Problem Solving, Learning, Student Behavior
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Bark, Katie; Stenberg, Molly; Sutherland, Shelly; Hayes, Dayle – Journal of Child Nutrition & Management, 2010
Purpose/Objectives: The purpose of the "Montana Recess Before Lunch Survey" was to explore benefits, challenges, and factors associated with successful implementation of Recess Before Lunch (RBL), from the perspective of school principals. Methods: An online written questionnaire was distributed to all (N = 661) Montana elementary and…
Descriptors: Student Behavior, Nutrition, Wellness, Principals
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
Prata, David Nadler; Baker, Ryan S. J. d.; Costa, Evandro d. B.; Rose, Carolyn P.; Cui, Yue; de Carvalho, Adriana M. J. B. – International Working Group on Educational Data Mining, 2009
This paper presents a model which can automatically detect a variety of student speech acts as students collaborate within a computer supported collaborative learning environment. In addition, an analysis is presented which gives substantial insight as to how students' learning is associated with students' speech acts, knowledge that will…
Descriptors: Data Analysis, Computer Uses in Education, Cooperative Learning, Speech Acts
Welker, Heidi Stevenson – ProQuest LLC, 2010
Cyberbullying on social networking sites such as MySpace and Facebook has had negative effects on children at school. Cyberbullying disruption during the school day adds to the complexity of maintaining school operations, safety, and academic achievement. With the advancement of technology, there is a gap in the literature on the disruption in…
Descriptors: Suburban Schools, Student Behavior, Social Change, Data Analysis