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Galle, Gillian E. – ProQuest LLC, 2013
An implicit assumption of many university classes is that students will spend a large amount of time outside the classroom refining their understanding of the material to develop mastery of the concepts. This is especially true in first year mathematics courses at the undergraduate level. However, little is known about what students do to fulfill…
Descriptors: Undergraduate Students, Mathematics Education, College Mathematics, Study Habits
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Tabor, Sharon W.; Minch, Robert P. – Journal of Information Technology Education: Research, 2013
Digital technologies offer many opportunities for creating engaging course content. In this study we captured student perceptions and adoption choices related to creating and using digital media as learning tools. Podcasts, video and other media were integrated in a variety of contexts and tasks in two undergraduate information technology (IT)…
Descriptors: Undergraduate Students, Student Attitudes, Adoption (Ideas), Electronic Learning
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Delaney, Liam; Harmon, Colm; Ryan, Martin – Economics of Education Review, 2013
Undergraduate study behaviours, principally lecture attendance and additional study, are shown to predict better student achievement by many researchers. Despite this, there is not much evidence on the determinants of these behaviours. This is the first paper to explore the determinants of study behaviours across multiple subject areas; and is the…
Descriptors: Academic Achievement, Undergraduate Study, Economic Factors, Lecture Method
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Auvinen, Tapio; Hakulinen, Lasse; Malmi, Lauri – IEEE Transactions on Learning Technologies, 2015
In online learning environments where automatic assessment is used, students often resort to harmful study practices such as procrastination and trial-and-error. In this paper, we study two teaching interventions that were designed to address these issues in a university-level computer science course. In the first intervention, we used achievement…
Descriptors: Student Behavior, Electronic Learning, Online Courses, Computer Assisted Testing
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Smidt, Wilfried – Journal of Education for Teaching: International Research and Pedagogy, 2015
Academic success in early childhood teacher education is important because it provides a foundation for occupational development in terms of professional competence, the quality of educational practices, as well as career success. Consequently, identifying factors that can explain differences in academic success is an important research task.…
Descriptors: Personality Traits, Predictor Variables, Academic Achievement, Success
Lee, Seon-Young; Olszewski-Kubilius, Paula; Makel, Matthew C.; Putallaz, Martha – Gifted Child Quarterly, 2015
Using survey responses from students who participated in the summer programs at two university-based gifted education institutions, this study examined changes in gifted students' perceptions of their learning environments, accelerated summer programs and regular schools, and social support in lives after participation in the summer programs. Our…
Descriptors: Surveys, Summer Programs, Academically Gifted, Student Attitudes
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Fauria, Renee M.; Fuller, Matthew B. – Research & Practice in Assessment, 2015
Researchers evaluated the effects of Educationally Purposeful Activities (EPAs) on transfer and nontransfer students' cumulative GPAs. Hierarchical, linear, and multiple regression models yielded seven statistically significant educationally purposeful items that influenced undergraduate student GPAs. Statistically significant positive EPAs for…
Descriptors: College Students, College Transfer Students, Grade Point Average, Regression (Statistics)
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Lukes, Laura A.; McConnell, David A. – Journal of Geoscience Education, 2014
There is a need to understand why some students succeed and persist in STEM fields and others do not. While numerous studies have focused on the positive results of using empirically validated teaching methods in introductory science, technology, engineering, and math (STEM) courses, little data has been collected about the student experience in…
Descriptors: Geology, Science Instruction, Student Motivation, Study Habits
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Postareff, Liisa; Lindblom-Ylänne, Sari; Parpala, Anna – Frontline Learning Research, 2014
Since the late 1970s numerous studies have explored students' approaches to learning (referred to as the "SAL" tradition). These studies have provided valuable evidence of students' study strategies and intentions at the university. Since extensive research already exists on students' approaches to learning, there is a need to move…
Descriptors: Learning Strategies, Study Habits, Interviews, Student Characteristics
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Janssen, Susan; O'Brien, Maureen – International Journal for the Scholarship of Teaching and Learning, 2014
The interplay among motivation, ability, attitudes, behaviors, homework, and learning is unclear from previous research. We analyze data collected from 687 students enrolled in seven economics courses. A model explaining homework and exam scores is estimated, and separate analyses of ability and motivation groups are conducted. We find that…
Descriptors: Student Attitudes, Student Behavior, Academic Achievement, Performance Factors
MacNeil, Stephen; Wood, Eileen; Zivcakova, Lucia; Glover, Robyn; Smith, Patrick – Collected Essays on Learning and Teaching, 2014
To support students in an introductory organic chemistry course, scaffolding in the form of weekly Learning Task Inventories (LTIs) were introduced. LTIs are chapter-by-chapter lists of detailed learning tasks students are expected to master during the course. This paper describes efforts to effectively implement LTIs, the effect of differing…
Descriptors: Study Habits, Organic Chemistry, Science Instruction, Scaffolding (Teaching Technique)
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Wright, Mary C.; McKay, Timothy; Hershock, Chad; Miller, Kate; Tritz, Jared – Change: The Magazine of Higher Learning, 2014
Learning Analytics (LA) has been identified as one of the top technology trends in higher education today (Johnson et al., 2013). LA is based on the idea that datasets generated through normal administrative, teaching, or learning activities--such as registrar data or interactions with learning management systems--can be analyzed to enhance…
Descriptors: STEM Education, Introductory Courses, Physics, Technology Uses in Education
Polcyn, Dawn M. – ProQuest LLC, 2012
Students are often referred for special education evaluations following teacher generated referrals. These referrals indicate observable poor academic progress, although often there is no indication of the cause of the poor performance as well as no indication of remediation attempts prior to a special education referral. Students who demonstrate…
Descriptors: Reading Fluency, Reading Instruction, Intervention, Correlation
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Deveci, I.; Onder, I. – Science Education International, 2015
The purpose of the present study was to investigate the views of the students on homework assignments for science courses. Survey method was adopted for this study. The sample for the study was composed of 1584 seventh and eighth grade students from middle schools. The views of the students regarding homework assignments for science and technology…
Descriptors: Middle School Students, Student Attitudes, Homework, Assignments
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Witecki, Gwendolyn; Nonnecke, Blair – Journal of Information Technology Education: Research, 2015
Universities have experienced increases in technology ownership and usage amongst students entering undergraduate programs. Almost all students report owning a mobile phone and many students view laptops and tablets as educational tools, though they also report using them for nonacademic activities during lectures. We explored the relationship…
Descriptors: Lecture Method, Handheld Devices, Laptop Computers, Learner Engagement
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