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Rioux, Charlie; Little, Todd D. – International Journal of Behavioral Development, 2021
Missing data are ubiquitous in studies examining preventive interventions. This missing data need to be handled appropriately for data analyses to yield unbiased results. After a brief discussion of missing data mechanisms, inappropriate missing data treatments and appropriate missing data treatments, we review the current state of missing data…
Descriptors: Prevention, Intervention, Data Analysis, Correlation
Fancsali, Stephen E.; Murphy, April; Ritter, Steve – International Educational Data Mining Society, 2022
Ten years after the announcement of the "rise of the super experiment" at Educational Data Mining 2012, challenges to implementing "internet scale" educational experiments often persist for educational technology providers, especially when they seek to test substantive instructional interventions. Studies that deploy and test…
Descriptors: Learning Analytics, Educational Technology, Barriers, Data Analysis
Kam Hong Shum; Samuel Kai Wah Chu; Cheuk Yu Yeung – Interactive Learning Environments, 2023
This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…
Descriptors: Student Behavior, Online Courses, Cooperative Learning, Computer Software
Gilman, Rich; Carboni, Inga; Perry, Andrew; Anderman, Eric M. – School Psychology, 2022
Social network analysis (SNA) consists of a broad set of frameworks and methods to assess how direct and indirect relationships influence individual functioning. Although interest in SNA has steadily increased in the psychological sciences, school psychology has not kept pace. This article provides a general overview of core SNA concepts,…
Descriptors: Social Networks, Network Analysis, School Psychology, Data Analysis
Deboeck, Pascal R.; Cole, David A.; Preacher, Kristopher J.; Forehand, Rex; Compas, Bruce E. – International Journal of Behavioral Development, 2021
Many interventions are characterized by repeated observations on the same individuals (e.g., baseline, mid-intervention, two to three post-intervention observations), which offer the opportunity to consider differences in how individuals vary over time. Effective interventions may not be limited to changing means, but instead may also include…
Descriptors: Intervention, Prevention, Individual Differences, Models
Guarcello, Maureen A.; Levine, Richard A.; Beemer, Joshua; Frazee, James P.; Laumakis, Mark A.; Schellenberg, Stephen A. – Technology, Knowledge and Learning, 2017
Supplemental Instruction (SI) is a voluntary, non-remedial, peer-facilitated, course-specific intervention that has been widely demonstrated to increase student success, yet concerns persist regarding the biasing effects of disproportionate participation by already higher-performing students. With a focus on maintaining access for all students, a…
Descriptors: Peer Teaching, Supplementary Education, College Students, Student Participation
Levy, Michal; Gumpel, Thomas P. – Journal of School Violence, 2018
This study explores correlations between bystanders' intervention styles by means of the bullying circle model. Three aims were examined in this study. First, we reevaluated the number and type of bystander intervention styles in aggressive school incidents. Second, we examined the association between reports of relational aggression and…
Descriptors: Audiences, Intervention, Bullying, Prevention
Reilly, Joseph M.; Schneider, Bertrand – International Educational Data Mining Society, 2019
Collaborative problem solving in computer-supported environments is of critical importance to the modern workforce. Coworkers or collaborators must be able to co-create and navigate a shared problem space using discourse and non-verbal cues. Analyzing this discourse can give insights into how consensus is reached and can estimate the depth of…
Descriptors: Problem Solving, Discourse Analysis, Cooperative Learning, Computer Assisted Instruction
Henry, Philip – College and University, 2019
Phillip Henry is a semi-retired former U.K. Registrar and Secretary with almost 40 years' experience in higher education. He has been active in staff development in the United Kingdom (Association of University Administrators, Academic Registrars Council, and Association of Heads of University Administration), in the United States (AACRAO and a…
Descriptors: Academic Achievement, Administrator Attitudes, Educational Experience, College Students
Zhou, Wencang; Hu, Huajing; Shi, Xuli – Learning Organization, 2015
Purpose: The purpose of this paper is to develop a framework for studying organizational learning, firm innovation and firm financial performance. Design/methodology/approach: This paper examines the effects of organizational learning on innovation and performance among 287 listed Chinese companies. Findings: The results indicate a positive…
Descriptors: Foreign Countries, Workplace Learning, Organizational Development, Innovation
Kopelman-Rubin, Daphne; Klomek, Anat Brunstein; Al-Yagon, Michal; Mufson, Laura; Apter, Alan; Mikulincer, Mario – International Journal for Research in Learning Disabilities, 2017
This study examined the contribution of executive functioning (EF) to improvements in psychiatric symptomatology following I Can Succeed (ICS; Kopelman-Rubin, 2012) psychotherapy, a skill-enhancement intervention designed to target EF and socio-emotional aspects of specific learning disabilities (SLD). Forty adolescents with SLD underwent ICS in…
Descriptors: Executive Function, Psychopathology, Psychotherapy, Adolescents
Fröjd, Sari; Saaristo, Vesa; Ståhl, Timo – School Leadership & Management, 2014
Monitoring bullying behaviours is the key aspect of a successful anti-bullying intervention. Questionnaires among pupils and principals of the same schools were utilised to measure the agreement between pupil-reported frequency and principals' estimations of the prevalence of frequent bullying in the same schools and to identify monitoring methods…
Descriptors: Bullying, Student Behavior, Intervention, Questionnaires
Park, Aesoon; Kim, Jueun; Gellis, Les A.; Zaso, Michelle J.; Maisto, Stephen A. – Journal of American College Health, 2014
Objective: Although the association of impulsivity with diverse alcohol outcomes has been documented, the mechanisms by which impulsivity predicts drinking over time remain to be fully characterized. The authors examined whether positive drinking consequences, but not negative drinking consequences, mediated the association between impulsivity and…
Descriptors: College Students, Student Surveys, Online Surveys, Path Analysis
Brodeur, Pascale; Larose, Simon; Tarabulsy, George; Feng, Bei; Forget-Dubois, Nadine – Mentoring & Tutoring: Partnership in Learning, 2015
Researchers suggest that certain supportive behaviors of mentors could increase the benefits of school-based mentoring for youth. However, the literature contains few validated instruments to measure these behaviors. In our present study, we aimed to construct and validate a tool to measure the supportive behaviors of mentors participating in…
Descriptors: Foreign Countries, Mentors, Motivation, College Students
Plucker, Jonathan; Giancola, Jennifer; Healey, Grace; Arndt, Daniel; Wang, Chen – Jack Kent Cooke Foundation, 2015
Year after year, in every state and community in our nation, students from low-income families are less likely than other students to reach advanced levels of academic performance, even when demonstrating the potential to do so. These income-based "excellence gaps" appear in elementary school and continue through high school. It is a…
Descriptors: Gifted, Talent Development, Low Income Students, High Achievement