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Camp, Sarah-Jayne; Sherlock-Smith, Anna C.; Davies, Emma L. – Health Education, 2018
Purpose: Sexual assault is prevalent on UK University campuses, and prevention efforts are being increased. However, at present there is limited evidence about UK students' attitudes towards sexual assault prevention and what they think should be done to effectively address the issue. The purpose of this paper is to explore these views to provide…
Descriptors: Rape, Student Attitudes, Prevention, Case Studies
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Dakduk, Silvana; Santalla-Banderali, Zuleima; van der Woude, David – SAGE Open, 2018
This article evaluates the factors involved in the acceptance of Blended Learning (BL) with executives based on the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model in executive education. The empirical analysis uses data from 307 responses to an online questionnaire by senior and middle-ranking managers. The confirmatory…
Descriptors: Blended Learning, Management Development, Administrator Attitudes, Motivation
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Sun, Jerry Chih-Yuan; Lin, Che-Tsun; Chou, Chien – International Review of Research in Open and Distributed Learning, 2018
This study aims to apply a sequential analysis to explore the effect of learning motivation on online reading behavioral patterns. The study's participants consisted of 160 graduate students who were classified into three group types: low reading duration with low motivation, low reading duration with high motivation, and high reading duration…
Descriptors: Student Motivation, Student Behavior, Reading, Behavior Patterns
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Gourlan, Mathieu; Boiché, Julie; Takito, Monica; Fregeac, Bruno; Cousson-Gélie, Florence – Research Quarterly for Exercise and Sport, 2018
Purpose: The theory of planned behavior (TPB) has been criticized for not including interactions between the variables assumed to predict behavior. This study sought to test how TPB variables interact to predict physical activity (PA) in children. Method: Four hundred thirty-eight children (M[subscript age] = 8.6 years, SD = 1.6 years) completed a…
Descriptors: Prediction, Physical Activities, Correlation, Child Behavior
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Daniels, Harry; Tse, Hau Ming – Educational Governance Research, 2018
In this chapter we present the findings of an investigation into the ways in which the discourses and practices of school design produce educational spaces which influence the discourses and practices of teaching and learning when the building is occupied. This investigation involved the development of a methodology for systematically analysing…
Descriptors: School Buildings, Building Design, Teaching Methods, Learning Processes
Harrison, Brynne – ProQuest LLC, 2018
Phishing has become a preferred method among cyber criminals looking to gain access to confidential information. Although most businesses and governmental organizations provide employees with some sort of cyber security training, there is a lack of research examining whether such training methods work to actually reduce susceptibility to…
Descriptors: Training Methods, Information Security, Computer Security, Money Management
Kraemer, Bonnie R.; Tomaszewski, Brianne; Rentschler, Lindsay F.; Steinbrenner, Jessica R.; Hume, Kara A.; McDaniel, Sara; Dawalt, Leann; Brum, Christopher; Szidon, Katherine – Career Development and Transition for Exceptional Individuals, 2022
The present study examined the transition component of the Individualized Education Program for 62 secondary students with autism. Plans were coded using a rubric adapted from Indicator 13 of the Individuals with Disabilities Education Improvement Act. Findings indicated a mean plan score of 10.5 out of 20.0, with a range of 3.0 to 20.0. Strengths…
Descriptors: Autism Spectrum Disorders, Individualized Education Programs, Individualized Transition Plans, Student Characteristics
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Martin, Andrew J.; Mansour, Marianne; Malmberg, Lars-Erik – Educational Psychology, 2020
Using mobile technology and experience sampling in junior high school, real-time motivation and engagement were explored at four-levels: between lessons (up to 2 lessons per day; Level 1), between days (5 days per week; L2), between weeks (4 weeks; L3), and between students (113 students; L4). Findings for a 'random effects' model revealed…
Descriptors: Student Motivation, Learner Engagement, Computer Use, Behavior Patterns
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Forbes, Cory T.; Neumann, Knut; Schiepe-Tiska, Anja – International Journal of Science Education, 2020
Scientific literacy is a central aim of science education. The "Programme for International Student Assessment" (PISA) provides a measure of secondary students' scientific literacy and reported science instruction in 72 countries. Researchers have analyzed PISA data to identify important relationships between science instruction and…
Descriptors: Active Learning, Inquiry, Science Instruction, Science Achievement
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Aquino, Katherine C.; BuShell, Shawna – Journal of Continuing Higher Education, 2020
For blended and fully online learning environments, the appropriate device usage and application, as well as students' perceived comfort with technology, may influence their success within the e-Learning setting. Additionally, institutional awareness of student technology needs--including student support needs as they relate to accessible…
Descriptors: Electronic Learning, Handheld Devices, Assistive Technology, Inclusion
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Koc-Januchta, Marta M.; Schönborn, Konrad J.; Tibell, Lena A. E.; Chaudhri, Vinay K.; Heller, H. Craig – Journal of Educational Computing Research, 2020
Applying artificial intelligence (AI) to support science learning is a prominent aspect of the digital education revolution. This study investigates students' interaction and learning with an AI book, which enables the inputting of questions and receiving of suggested questions to understand biology, in comparison with a traditional E-book.…
Descriptors: Artificial Intelligence, Textbook Content, Science Materials, Biology
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Lee, Mi Yeon; Lim, Woong – International Electronic Journal of Mathematics Education, 2020
This study investigates patterns exhibited by pre-service teachers (PSTs) while practicing feedback in response to students' solutions on a procedure-based mathematics assessment. First, we developed an analytical framework for understanding mathematics PSTs' written feedback. Second, we looked into how a learning module on a multimedia platform…
Descriptors: Preservice Teachers, Feedback (Response), Test Items, Behavior Patterns
Sungjin Nam – ProQuest LLC, 2020
This dissertation presents various machine learning applications for predicting different cognitive states of students while they are using a vocabulary tutoring system, DSCoVAR. We conduct four studies, each of which includes a comprehensive analysis of behavioral and linguistic data and provides data-driven evidence for designing personalized…
Descriptors: Vocabulary Development, Intelligent Tutoring Systems, Student Evaluation, Learning Analytics
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Lester, Barry M.; Conradt, Elisabeth; Marsit, Carmen – Child Development, 2016
Epigenetics provides the opportunity to revolutionize our understanding of the role of genetics and the environment in explaining human behavior, although the use of epigenetics to study human behavior is just beginning. In this introduction, the authors present the basics of epigenetics in a way that is designed to make this exciting field…
Descriptors: Genetics, Child Development, Scientific Research, Behavior Patterns
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Chris W. Gallagher – College Composition and Communication, 2016
This article offers a fuller account than we currently have of the complex, uneasy relationship between behaviorism and writing studies in order both to complicate our disciplinary historiography and to encourage writing scholars, teachers, and program administrators to articulate productive and unproductive understandings of writing behaviors.
Descriptors: Writing (Composition), Writing Instruction, Behaviorism, Behavior Patterns
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