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Balint, Trevor A.; Teodorescu, Raluca; Colvin, Kimberly; Choi, Youn-Jeng; Pritchard, David – Physics Teacher, 2017
In this paper we examine how different types of participants in a physics Massive Open Online Course (MOOC) tend to use the existing course resources. We use data from the 2013 offering of the Massive Open Online Course 8.MReVx designed by the RELATE (REsearch in Learning Assessing and Tutoring Effectively) Group at the Massachusetts Institute of…
Descriptors: Physics, Online Courses, Instructional Materials, Educational Resources
Warner, Laura A.; Chaudhary, Anil Kumar; Rumble, Joy N.; Lamm, Alexa J.; Momol, Esen – Journal of Agricultural Education, 2017
Today's complex issues require technical expertise as well as the application of innovative social science techniques within Extension contexts. Researchers have suggested that a social science approach will play a critical role in water conservation, and people who use home landscape irrigation comprise a critical target audience for agriculture…
Descriptors: Conservation (Environment), Water, Natural Resources, Use Studies
List, Alexandra; Grossnickle, Emily M.; Alexander, Patricia A. – Reading Psychology, 2016
The present study examined undergraduate students' multiple source use in response to two different types of academic questions, one discrete and one open-ended. Participants (N = 240) responded to two questions using a library of eight digital sources, varying in source type (e.g., newspaper article) and reliability (e.g., authors' credentials).…
Descriptors: Profiles, Questioning Techniques, Information Sources, Undergraduate Students
Dong, Shengli; Lucas, Margaretha S. – Career Development and Transition for Exceptional Individuals, 2016
This study focused on the academic performance and use of disability support services (DSS) of students with different types of disabilities who attend a postsecondary education institution. Findings show different patterns of academic success over four semesters as well as different patterns of DSS usage. Students who requested support from DSS…
Descriptors: Academic Achievement, Postsecondary Education, Related Services (Special Education), Use Studies
Aagaard, Lola; Skidmore, Ronald L.; Conner, Timothy W., II – Online Submission, 2014
The purpose of this study was to investigate the relationship between academic self-efficacy and preferences regarding the use of text materials and in-class activities of college students at a university that serves one of the highest-poverty regions in the United States. A convenient cluster sample of 105 students taking summer classes at a…
Descriptors: College Students, Self Efficacy, Textbooks, Preferences
Smith, Russell K. – Research in Higher Education Journal, 2014
A segmentation study is used to partition college students into groups that are more or less likely to adopt tablet technology as a learning tool. Because the college population chosen for study presently relies upon laptop computers as their primary learning device, tablet technology represents a "next step" in technology. Student…
Descriptors: College Students, Cluster Grouping, Student Attitudes, Laptop Computers
Eynon, Rebecca; Malmberg, Lars-Erik – Computers & Education, 2011
Using data from a nationally representative survey of over a 1000 young people in the UK this paper proposes a typology of the ways young people are using the Internet outside formal educational settings; and examines the individual and contextual factors that help to explain why young people are using the Internet in this way. Specifically, this…
Descriptors: Individual Characteristics, Young Adults, Classification, Profiles
Xu, Beijie – ProQuest LLC, 2011
This research examined teachers' online behaviors while using a digital library service--the Instructional Architect (IA)--through three consecutive studies. In the first two studies, a statistical model called latent class analysis (LCA) was applied to cluster different groups of IA teachers according to their diverse online behaviors. The third…
Descriptors: Teacher Behavior, Online Searching, Library Services, Electronic Libraries
Amershi, Saleema; Conati, Cristina – Journal of Educational Data Mining, 2009
In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…
Descriptors: Supervision, Classification, Models, Educational Environment
Palsdottir, Agusta – Information Research: An International Electronic Journal, 2008
Introduction: The aim of this study is to gather knowledge about how different groups of Icelanders take advantage of information about health and lifestyle in their everyday life. Method: A random sample of 1,000 people was used in the study and data was gathered as a postal survey. Response rate was 50.8%. Analysis: K-means cluster analysis was…
Descriptors: Self Efficacy, Multivariate Analysis, Information Seeking, Health Behavior
Plummer, Joseph T. – 1971
In measuring the characteristics of mass-communication audiences, three dimensions are frequently used: demographics, social class, and psychological characteristics. The author proposes a fourth, "life style," which offers reliable data, is more colorful than demographics and more useful than psychological characteristics. This dimension is…
Descriptors: Audiences, Cluster Grouping, Correlation, Group Structure
Karavirta, Ville; Korhonen, Ari; Malmi, Lauri – Computer Science Education, 2006
Automatic assessment systems generally support immediate grading and response on learners' submissions. They also allow learners to consider the feedback, revise, and resubmit their solutions. Several strategies exist to implement the resubmission policy. The ultimate goal, however, is to improve the learning outcomes, and thus the strategies…
Descriptors: Feedback (Response), Student Evaluation, Computer Managed Instruction, Foreign Countries
Atkinson, John S.; Spenneman, Dirk H. R.; Cornforth, David – Campus-Wide Information Systems, 2005
Purpose: To provide administrators at an Australian university with data on the feasibility of redirecting under-utilised computer laboratories facilities into a distributed high performance computing facility. Design/methodology/approach: The individual log-in records for each computer located in the computer laboratories at the university were…
Descriptors: Computer Uses in Education, Learning Resources Centers, Computer Centers, Use Studies
SALTON, GERALD – 1967
THE TWELFTH IN A SERIES COVERING RESEARCH IN AUTOMATIC STORAGE AND RETRIEVAL, THIS REPORT IS DIVIDED INTO THREE PARTS TITLED EVALUATION, CLUSTER SEARCHING, AND USER FEEDBACK METHODS, RESPECTIVELY. THE FIRST PART, EVALUATION, CONTAINS A COMPLETE SUMMARY OF THE RETRIEVAL RESULTS DERIVED FROM SOME SIXTY DIFFERENT TEXT ANALYSIS EXPERIMENTS. IN EACH…
Descriptors: Cluster Grouping, Computational Linguistics, Correlation, Evaluation Methods