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Direct linkGutierrez, Gisselle – ProQuest LLC, 2017
This research study employed both quantitative and qualitative methodology to explore high school students' perceptions about online math homework and paper math homework. The purpose of this study was threefold: to understand how high school students perceive online math homework, to determine what aspects of online math homework aid and/or…
Descriptors: High School Students, Homework, Secondary School Mathematics, Student Attitudes
Peer reviewedGeddes, Kimberly A. – Gifted Child Today, 2011
Gifted high school students are essentially absent in the research concerning academic integrity; however, over the past few years, educators of gifted students have noticed an increase in the occurrences of academic dishonesty among students in gifted classrooms (Abilock, 2009). This research may be analyzed to provide some insight into the…
Descriptors: Homework, Academically Gifted, Grade Point Average, Cheating
Download full textBlazer, Christie – Research Services, Miami-Dade County Public Schools, 2010
Students are under pressure from teachers, parents, and college admissions counselors to maintain high grade point averages, score well on high-stakes tests, participate in a variety of extracurricular activities, and gain admission to top colleges. In fact, surveys have found that most students identify academic pressure as the main reason for…
Descriptors: Academic Achievement, High Stakes Tests, Grade Point Average, College Admission
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
