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Showing all 10 results Save | Export
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Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
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Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
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Hecht, Martin; Weirich, Sebastian; Siegle, Thilo; Frey, Andreas – Educational and Psychological Measurement, 2015
Multiple matrix designs are commonly used in large-scale assessments to distribute test items to students. These designs comprise several booklets, each containing a subset of the complete item pool. Besides reducing the test burden of individual students, using various booklets allows aligning the difficulty of the presented items to the assumed…
Descriptors: Measurement, Item Sampling, Statistical Analysis, Models
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Murtono – Journal of Education and Practice, 2015
The purposes of this research are: (1) description of reading skill the students who join in CIRC learning model, Jigsaw learning model, and STAD learning model; (2) finding out the effective of learning model cooperative toward a reading comprehensions between the students who have high language logic and low language logic; and (3) finding out…
Descriptors: Cooperative Learning, Elementary School Students, Reading Comprehension, Foreign Countries
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Toytok, Esef Hakan – Universal Journal of Educational Research, 2016
This century is a century in which vertiginous rapid change is experienced. In each day, new innovations are being part of our lives. For this reason, innovation term is a dynamic concept that emerges in every field and it is inside of life. "Innovation" is an English term but it is adopted in daily life in Turkish as…
Descriptors: Educational Change, Educational Innovation, Foreign Countries, School Administration
Vander Horst, Anthony – ProQuest LLC, 2012
In a study of 5285 8th graders from the Gang Resistance and Education Training (G.R.E.A.T.) research, this study applied Travis Hirschi's social bonding theory to examine the curriculum's efficacy in increasing conventional bonding (friends with positive peers, succeeding at education etc.) and decreasing non-conventional bonding (drug…
Descriptors: Grade 8, Resistance (Psychology), Juvenile Gangs, Program Effectiveness
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Lee, Chang-Hun – Journal of Interpersonal Violence, 2011
The aim of this study is to identify an ecological prediction model of bullying behaviors. Based on an ecological systems theory, this study identifies significant factors influencing bullying behaviors at different levels of middle and high school. These levels include the microsystem, mesosystem, exosystem, and macrosystem. More specifically,…
Descriptors: Community Characteristics, Bullying, Models, Parent Participation
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Silvia, Suyapa; Blitstein, Jonathan; Williams, Jason; Ringwalt, Chris; Dusenbury, Linda; Hansen, William – National Center for Education Evaluation and Regional Assistance, 2010
This is the first of two reports that summarize the findings from an impact evaluation of a violence prevention intervention for middle schools. This report discusses findings after 1 year of implementation. A forthcoming report will discuss the findings after 2 years and 3 years of implementation. In 2004, the U.S. Department of Education (ED)…
Descriptors: Middle Schools, Violence, Prevention, Intervention