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Lanford, Michael; Corwin, Zoë B.; Maruco, Tattiya; Ochsner, Amanda – Journal of Research on Technology in Education, 2019
This article draws upon two conceptual frameworks--institutional culture in education and innovation studies--to contextualize findings from a digital intervention for underrepresented students applying to college. The qualitative data that inform this study's findings include 88 open-response surveys with school teachers, as well as campus…
Descriptors: Barriers, Educational Innovation, Disproportionate Representation, College Applicants
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Gerber, Hannah R.; Abrams, Sandra Schamroth; Onwuegbuzie, Anthony J.; Benge, Cindy L. – Educational Media International, 2014
This article explores the impact of using commercial-off-the-shelf (COTS) videogames in a high school curriculum when developed through a connected learning frame by examining the influence that COTS videogames have on transforming students' literacy learning in-school. However, it must be noted that transforming literacy in school is about more…
Descriptors: Video Games, Teaching Methods, Educational Technology, Case Studies
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Messias, Erick; Castro, Juan; Saini, Anil; Usman, Manzoor; Peeples, Dale – Suicide and Life-Threatening Behavior, 2011
We investigated the association between excessive video game/Internet use and teen suicidality. Data were obtained from the 2007 and 2009 Youth Risk Behavior Survey (YRBS), a high school-based, nationally representative survey (N = 14,041 and N = 16,410, respectively). Teens who reported 5 hours or more of video games/Internet daily use, in the…
Descriptors: Video Games, At Risk Students, Suicide, Internet
Edwards, Virginia B., Ed. – Education Week, 2014
Educators and experts alike have come to a growing realization that academic factors alone do not tell the whole story of what it means to successfully navigate the educational system through high school and into higher education or the workplace. This national report from "Education Week" investigates the role that student engagement…
Descriptors: Learner Engagement, Student Motivation, Student Participation, Success
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Ryoo, Jean J.; Margolis, Jane; Lee, Clifford H.; Sandoval, Cueponcaxochitl D. M.; Goode, Joanna – Learning, Media and Technology, 2013
Despite the fact that computer science (CS) is the driver of technological innovations across all disciplines and aspects of our lives, including participatory media, high school CS too commonly fails to incorporate the perspectives and concerns of low-income students of color. This article describes a partnership program -- Exploring Computer…
Descriptors: Computer Science, High Schools, At Risk Students, Low Income Groups
Walser, Nancy, Ed. – Harvard Education Press, 2010
"Harvard Education Letter" is published bimonthly at the Harvard Graduate School of Education. This issue of "Harvard Education Letter" contains the following articles: (1) Video Games Take Testing to the Next Level: Researchers See Promise in Game-Like Assessments That Measure Complex Skills (Robert Rothman); (2) An Academic…
Descriptors: Video Games, Educational Change, Theory Practice Relationship, Student Evaluation
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Montana Office of Public Instruction, 2011
This report presents the 2011 Montana Youth Risk Behavior Survey high school student frequency distributions for nonpublic accredited schools. These frequency distributions are based upon surveys with 349 high school students in Nonpublic Region during February of 2011. Frequency distributions may not total 349 due to nonresponse and percents may…
Descriptors: Sexuality, At Risk Students, Physical Activities, High School Students
Montana Office of Public Instruction, 2011
This report presents the 2011 Montana Youth Risk Behavior Survey high school student frequency distributions for American Indian students on or near a reservation. These frequency distributions are based upon surveys with 720 high school American Indian students on or near a reservation in Montana during February of 2011. Frequency distributions…
Descriptors: American Indian Students, Reservation American Indians, Sexuality, At Risk Students
Montana Office of Public Instruction, 2011
This report presents the 2011 Montana Youth Risk Behavior Survey high school student frequency distributions for American Indian students in urban schools. These frequency distributions are based upon surveys with 808 high school American Indian students in urban schools during February of 2011. Frequency distributions may not total 808 due to…
Descriptors: American Indians, American Indian Students, Urban Schools, Sexuality
Montana Office of Public Instruction, 2011
The Youth Risk Behavior Survey (YRBS) is an epidemiologic surveillance system that was established by the U.S. Centers for Disease Control and Prevention (CDC) to help monitor the prevalence of behaviors that not only influence youth health, but also put youth at risk for the most significant health and social problems that can occur during…
Descriptors: Reservation American Indians, American Indian Students, Comparative Analysis, Urban Schools
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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