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Sales, Adam; Prihar, Ethan; Heffernan, Neil; Pane, John F. – International Educational Data Mining Society, 2021
This paper drills deeper into the documented effects of the Cognitive Tutor Algebra I and ASSISTments intelligent tutoring systems by estimating their effects on specific problems. We start by describing a multilevel Rasch-type model that facilitates testing for differences in the effects between problems and precise problem-specific effect…
Descriptors: Intelligent Tutoring Systems, Academic Achievement, Educational Technology, Algebra
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Balfanz, Robert; Byrnes, Vaughan – Journal of Education for Students Placed at Risk, 2018
Following a 2008 report that documented the extent of chronic absenteeism in New York City's schools, the city organized an interagency task force to develop and implement a citywide effort to reduce chronic absenteeism. Given the size of the city school system and the scope of chronic absenteeism, the effort became the nation's most comprehensive…
Descriptors: Attendance, Urban Schools, Public Schools, Agency Cooperation
Roschelle, Jeremy; Murphy, Robert; Feng, Mingyu; Bakia, Marianne – Grantee Submission, 2017
In a rigorous evaluation of ASSISTments as an online homework support conducted in the state of Maine, SRI International reported that "the intervention significantly increased student scores on an end-of-the-year standardized mathematics assessment as compared with a control group that continued with existing homework practices."…
Descriptors: Homework, Program Effectiveness, Effect Size, Cost Effectiveness
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Phelps, L. Allen; Chan, Hsun-Yu – Journal of Career and Technical Education, 2016
Post-recession Federal policy initiatives, such as secondary/postsecondary career pathways and gainful employment higher education accountability standards, prioritize the alignment of education practices with market-driven outcomes. Using longitudinal student record data merged from college and state K-12 data systems with the Unemployment…
Descriptors: Dual Enrollment, High School Students, College Credits, Longitudinal Studies
Flower, Andrea; McKenna, John W.; Bunuan, Rommel L.; Muething, Colin S.; Vega, Ramon, Jr. – Review of Educational Research, 2014
Challenging behavior at school remains a concern for teachers and administrators. Thus classroom management practices to prevent challenging behavior are sorely needed. The Good Behavior Game (GBG) has been found to be useful to positively change student behavior. However, previous reviews of the GBG have not quantified effects, have not focused…
Descriptors: Behavior Problems, Classroom Techniques, Behavior Modification, Student Behavior
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Anyon, Yolanda; Gregory, Anne; Stone, Susan; Farrar, Jordan; Jenson, Jeffrey M.; McQueen, Jeanette; Downing, Barbara; Greer, Eldridge; Simmons, John – American Educational Research Journal, 2016
A large urban district (N = 90,546 students, n = 180 schools) implemented restorative interventions as a response to school discipline incidents. Findings from multilevel modeling of student discipline records (n = 9,921) revealed that youth from groups that tend to be overrepresented in suspensions and expulsions (e.g., Black, Latino, and Native…
Descriptors: Urban Schools, School Districts, Intervention, Discipline
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Slavin, Robert E.; Cheung, Alan; Holmes, GwenCarol; Madden, Nancy A.; Chamberlain, Anne – American Educational Research Journal, 2013
A district-level reform model created by the Center for Data-Driven Reform in Education (CDDRE) provided consultation with district leaders on strategic use of data and selection of proven programs. Fifty-nine districts in seven states were randomly assigned to CDDRE or control conditions. A total of 397 elementary and 225 middle schools were…
Descriptors: School Districts, Educational Change, Models, Data
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Leos-Urbel, Jacob – Youth & Society, 2015
This article examines the relationship between after-school program quality, program attendance, and academic outcomes for a sample of low-income after-school program participants. Regression and hierarchical linear modeling analyses use a unique longitudinal data set including 29 after-school programs that served 5,108 students in Grades 4 to 8…
Descriptors: After School Programs, Program Effectiveness, Attendance, Academic Achievement
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Henry, Gary T.; Campbell, Shanyce L.; Thompson, Charles L.; Patriarca, Linda A.; Luterbach, Kenneth J.; Lys, Diana B.; Covington, Vivian Martin – Journal of Teacher Education, 2013
Calls for evidence-based reform of teacher preparation programs (TPPs) suggest the question: Do the current indicators of progress and performance used by TPPs predict effectiveness of their graduates when they become teachers? In this study, the indicators of progress and performance used by one program are examined for their ability to predict…
Descriptors: Teacher Education, Preservice Teachers, Evidence, Predictive Validity
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Hsu, Shihkuan; Kuan, Ping-Yin – Educational Technology Research and Development, 2013
Technology integration is influenced by many factors related to the teacher and the school environment. While many studies have examined factors that influence teachers' use of Information and Communication Technology (ICT) at the teacher level, a growing number of studies have suggested that it is beneficial to examine those factors using…
Descriptors: Foreign Countries, Predictor Variables, Teacher Surveys, Educational Environment
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Song, Hae-Deok; Kang, Taehoon – Turkish Online Journal of Educational Technology - TOJET, 2012
The purpose of this study is to evaluate the impacts of ICT use on achievements by considering not only ICT use, but also the process and background variables that influence ICT use at both the student- and school-level. This study was conducted using data from the 2010 Survey of Seoul Education Longitudinal Research. A Hierarchical Linear…
Descriptors: Academic Achievement, Program Effectiveness, Self Efficacy, Computer Use
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Youngs, Peter; Frank, Kenneth; Thum, Yeow Meng; Low, Mark – Yearbook of the National Society for the Study of Education, 2012
In this chapter, the authors develop a theory to explain the effects of mentoring and induction activities on new teachers' commitment, instructional quality, and effectiveness, and they describe how utility functions can express variation in these outcomes. Then they explicate the role of three-level models (i.e., with random effects) in…
Descriptors: Academic Achievement, Teacher Effectiveness, Social Behavior, Testing
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Lopez, Francesca A. – Teachers College Record, 2012
Background: Cumulatively, research indicates that teachers who are emotionally supportive and create positive classroom climates influence the outcomes of at-risk students in nontrivial ways. Prior research has also established that teacher behaviors that support autonomy, provide higher level thinking opportunities, and value students' social and…
Descriptors: Academic Achievement, Reading Achievement, At Risk Students, Academic Support Services
Lazarev, Valeriy; Atienza, Sara; Lai, Garrett; Ma, Boya; Sterling, Laurel – Empirical Education Inc., 2010
A quasi-experimental study designed to provide evidence of the effectiveness of the "Jamestown Reading Navigator" ("JRN") program for students in grades 9-10 was conducted in the Miami Dade Public School District (MDCSD). "Jamestown Reading Navigator" is a reading intervention program developed by McGraw-Hill…
Descriptors: Academic Achievement, Reading Achievement, Program Effectiveness, Intervention
Maloney, Catherine; Sheehan, Daniel; Rainey, Katie – Texas Center for Educational Research, 2010
In 2007, the Texas Legislature (80th Texas Legislature, Regular Session, 2007) authorized the creation of the Texas Rural Technology (R-Tech) Pilot program, which provides $8 million in funding to support rural districts in implementing technology-based supplemental education programs. In order to be eligible for funding, districts must have…
Descriptors: Online Surveys, Teacher Surveys, Student Surveys, Facilitators (Individuals)
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