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Sinclair, Anne C.; Gesel, Samantha A.; Lemons, Christopher J. – Journal of Positive Behavior Interventions, 2019
Education researchers have recently called for the development of interventions to address the needs of students with or at risk of disabilities who exhibit co-occurring academic and behavioral needs. Teachers of these students frequently prioritize intervening on problem behavior rather than academics. However, addressing students' academic needs…
Descriptors: Peer Relationship, Behavior Problems, Learner Engagement, At Risk Students
Holmes, Venita R. – Houston Independent School District, 2017
For the past three years, SELF (Sports, Education, Life Skills, and Faith) has focused on improving academic, behavioral, and social skills of students at Key, Revere, and Meyerland middle schools in the Houston Independent School District (HISD). Tutorials, an essay contest, character-building lessons, sports, a high-school bridge program, and…
Descriptors: At Risk Students, Middle School Students, Academic Ability, Student Development
Holmes, Venita – Houston Independent School District, 2016
The SELF Foundation afterschool program involved 255 students at Key, Revere, and Meyerland (formerly Johnston) middle schools in tutorials and enrichment activities to support their academic, social, and emotional development. All students at SELF schools were allowed to participate in a character-building essay contest for prizes. Program impact…
Descriptors: At Risk Students, Middle School Students, Academic Ability, Student Development
Hampshire, Patricia Korzekwa; Butera, Gretchen; Bellini, Scott – Beyond Behavior, 2011
As research has suggested, success with homework tasks directly relates to overall academic achievement (Coutts, 2004). In addition, homework provides a venue for developing organizational skills that become necessary as students learn to self-manage. Thus, the importance of developing homework strategies that support both student achievement and…
Descriptors: Homework, Autism, Academic Achievement, Tutoring
Sabourin, Jennifer L.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C. – Journal of Educational Data Mining, 2013
Over the past decade, there has been growing interest in real-time assessment of student engagement and motivation during interactions with educational software. Detecting symptoms of disengagement, such as off-task behavior, has shown considerable promise for understanding students' motivational characteristics during learning. In this paper, we…
Descriptors: Student Behavior, Classification, Learner Engagement, Data Analysis
Gobert, Janice D.; Sao Pedro, Michael; Raziuddin, Juelaila; Baker, Ryan S. – Journal of the Learning Sciences, 2013
We present a method for assessing science inquiry performance, specifically for the inquiry skill of designing and conducting experiments, using educational data mining on students' log data from online microworlds in the Inq-ITS system (Inquiry Intelligent Tutoring System; www.inq-its.org). In our approach, we use a 2-step process: First we use…
Descriptors: Intelligent Tutoring Systems, Science Education, Inquiry, Science Process Skills
Holmes, Venita – Houston Independent School District, 2015
The SELF Foundation engaged 287 students at Key, Revere, and Welch middle schools in afterschool tutorials and enrichment activities to support their academic, social, and emotional development. Program impact was measured using reading and math performance, attendance, and disciplinary actions of SELF Foundation students compared to…
Descriptors: At Risk Students, Middle School Students, Academic Ability, Student Development
Holmes, Venita – Houston Independent School District, 2014
During the 2013-2014 academic year, the S.E.L.F. Foundation engaged 32 predominately at-risk students at Key Middle School (KMS) in afterschool tutorials and enrichment activities to support their academic, social, and emotional development. Outcome measures consisted of reading and mathematics performance before and after program implementation.…
Descriptors: At Risk Students, Middle School Students, Academic Ability, Student Development
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries