Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Educational Technology… | 8 |
Author
Angeli, Charoula | 1 |
Cheng, Kin Fai | 1 |
Cohen, Anat | 1 |
Ifenthaler, Dirk | 1 |
Kulhavy, Raymond W. | 1 |
Lam, Paul | 1 |
Lorentz, R. A. | 1 |
McNaught, Carmel | 1 |
Rittschof, Kent A. | 1 |
Scholes, Vanessa | 1 |
Schumacher, Clara | 1 |
More ▼ |
Publication Type
Journal Articles | 8 |
Reports - Research | 7 |
Information Analyses | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 7 |
Postsecondary Education | 6 |
Audience
Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Hidden Figures Test | 1 |
What Works Clearinghouse Rating
Scholes, Vanessa – Educational Technology Research and Development, 2016
There are good reasons for higher education institutions to use learning analytics to risk-screen students. Institutions can use learning analytics to better predict which students are at greater risk of dropping out or failing, and use the statistics to treat "risky" students differently. This paper analyses this practice using…
Descriptors: Data Collection, Data Analysis, Educational Research, At Risk Students
Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
Tu, Wendy; Snyder, Martha M. – Educational Technology Research and Development, 2017
Difficulties in learning statistics primarily at the college-level led to a reform movement in statistics education in the early 1990s. Although much work has been done, effective learning designs that facilitate active learning, conceptual understanding of statistics, and the use of real-data in the classroom are needed. Guided by Merrill's First…
Descriptors: Statistics, College Students, Educational Change, Active Learning
Ifenthaler, Dirk; Schumacher, Clara – Educational Technology Research and Development, 2016
The purpose of this study was to examine student perceptions of privacy principles related to learning analytics. Privacy issues for learning analytics include how personal data are collected and stored as well as how they are analyzed and presented to different stakeholders. A total of 330 university students participated in an exploratory study…
Descriptors: Student Attitudes, Privacy, Data Collection, Data Analysis
Angeli, Charoula; Valanides, Nicos – Educational Technology Research and Development, 2013
The present study investigated the problem-solving performance of 101 university students and their interactions with a computer modeling tool in order to solve a complex problem. Based on their performance on the hidden figures test, students were assigned to three groups of field-dependent (FD), field-mixed (FM), and field-independent (FI)…
Descriptors: College Students, Computer System Design, Cognitive Style, Immigration
McNaught, Carmel; Lam, Paul; Cheng, Kin Fai – Educational Technology Research and Development, 2012
This article reports a study of eLearning in 21 courses in Hong Kong universities that had a blended design of face-to-face classes combined with online learning. The main focus of the study was to examine possible relationships between features of online learning designs and student learning outcomes. Data-collection strategies included expert…
Descriptors: Foreign Countries, Electronic Learning, Blended Learning, Internet
Whipp, Joan L.; Lorentz, R. A. – Educational Technology Research and Development, 2009
While literature suggests that college students may be less reluctant to seek help in online rather than traditional courses, little is known about how online instructors give help in ways that lead to increased student help seeking and academic success. In this study, we used theories and research on learning assistance and scaffolding, teacher…
Descriptors: Help Seeking, Online Courses, Helping Relationship, Group Dynamics

Rittschof, Kent A.; Kulhavy, Raymond W. – Educational Technology Research and Development, 1998
To examine how four methods of symbolizing data affect learning from thematic maps of familiar regions, two experiments were conducted with college students. In both experiments, map-related text information was recalled more than map-unrelated text information. Choropleth maps and proportional symbol maps were associated with higher reported use…
Descriptors: Cognitive Processes, College Students, Data Analysis, Higher Education