NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 11 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Bertossi, Alberto; Marangon, Francesco – International Journal of Sustainability in Higher Education, 2022
Purpose: Changing the present behavior of individuals toward a more sustainable lifestyle is a complex task requiring a well-established strategy and institutional commitment. The purpose of this paper is to understand the strategic steps, as proposed by Steg and Vlek (2009), that has been mostly focused on by higher education institutions (HEIs)…
Descriptors: Educational Strategies, Conservation (Environment), Higher Education, Student Behavior
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Araújo, Isabel; Faria, Pedro Miguel – International Association for Development of the Information Society, 2020
The evolution of ICT and its adoption in higher education is driving greater interactivity in teaching and learning processes. The teaching/learning paradigm has been changing. Both educational actors, teacher and student, are increasingly adapting to use technologies. This article presents a study that enhances how technologies can be used in the…
Descriptors: Student Attitudes, Integrated Learning Systems, Higher Education, Technology Integration
Luan, Jing; Zhao, Chun-Mei; Hayek, John C. – Association for Institutional Research (NJ1), 2009
Data mining provides both systematic and systemic ways to detect patterns of student engagement among students at hundreds of institutions. Using traditional statistical techniques alone, the task would be significantly difficult--if not impossible--considering the size and complexity in both data and analytical approaches necessary for this…
Descriptors: Higher Education, Institutional Research, Data Collection, Institutional Mission
Peer reviewed Peer reviewed
Direct linkDirect link
Perry, Bob – Active Learning in Higher Education, 2010
Academic research and newspaper stories suggest that academic misconduct, including plagiarism, is on the increase. This apparent increase coupled with new internet enterprises selling "pass" papers and customized research are worrying trends. Academic misconduct is deeply harmful in a number of ways by devaluing awards, frustrating…
Descriptors: Plagiarism, Student Attitudes, Cheating, Teaching Methods
Peer reviewed Peer reviewed
Stith, Sandra M.; And Others – Journal of College Student Development, 1992
Developed typology of college students using dating violence. Findings from 97 females and 69 males who expressed violence toward their partners identified 4 subgroups of students who differed in their use of coping and negotiation strategies, in their feelings of love and ambivalence, in their experience of conflict and violence, and in their…
Descriptors: Classification, College Students, Dating (Social), Higher Education
Peer reviewed Peer reviewed
Long, Samuel – Higher Education, 1977
A random sample of 460 Southern Illinois University-Carbondale students surveyed in 1973 indicates that students' self-descriptions on the Clark-Trow typology of academic orientations are moderately associated with their perceptions of the university, with nonconformist types as the most distinct academic orientation. (Author/LBH)
Descriptors: Classification, College Students, Higher Education, Institutional Evaluation
Peer reviewed Peer reviewed
Long, Samuel – Research in Higher Education, 1977
Four issues are examined: (1) the distribution of the four Clark-Trow student types among a sample of post-activist students; (2) intercorrelations between the four types; (3) the degree to which students' perceptions of the prevailing type relates to their own typological self-descriptions; and (4) factors affecting student self-classification.…
Descriptors: Activism, Classification, College Students, Higher Education
Aquino, Felix J. – 1990
A model is presented for creating a community college student typology for the purpose of defining successful and unsuccessful student outcomes for each typology segment. The need for such a typology is addressed, as well as a description given of the computer techniques used to gather the baseline data upon which the typology is based, and the…
Descriptors: Academic Achievement, Classification, Community Colleges, Dropout Research
Peer reviewed Peer reviewed
Nahl-Jakobovits, Diane; Jakobovits, Leon A. – Research Strategies, 1992
Describes a method of developing user-based objectives for bibliographic instruction that utilizes content analysis to code self-reports by library users according to a taxonomy of library speech acts in the affective, cognitive, and sensorimotor domains. Analysis of one student's library reports and translation of the analysis into enabling…
Descriptors: Academic Libraries, Behavioral Objectives, Case Studies, Classification
Peer reviewed Peer reviewed
Hackman, Judith Dozier; Taber, Thomas D. – American Educational Research Journal, 1979
Seven success patterns and five nonsuccess patterns are identified as prevalent types of undergraduate performance. Students showed significant differences in demographic characteristics, admission credentials, college performance, and post-college plans. Results indicated that colleges should offer many subenvironments, each emphasizing and…
Descriptors: Academic Achievement, Behavior Patterns, Behavior Rating Scales, Classification
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers