Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 9 |
Descriptor
Data Analysis | 16 |
Higher Education | 16 |
Multivariate Analysis | 16 |
Classification | 4 |
College Students | 4 |
Academic Achievement | 3 |
Data Collection | 3 |
Foreign Countries | 3 |
Management Systems | 3 |
Online Courses | 3 |
Questionnaires | 3 |
More ▼ |
Source
Author
Aktas, Elif | 1 |
Avella, John T. | 1 |
Borda, Emily J. | 1 |
Brown, R. L. | 1 |
Cox, Bradley E. | 1 |
Dickson, George E. | 1 |
Dwivedi, Sanjay K. | 1 |
Ellis, Robert A. | 1 |
Engberg, Mark E. | 1 |
Frey, James H. | 1 |
Fujita, Taro | 1 |
More ▼ |
Publication Type
Journal Articles | 14 |
Reports - Research | 11 |
Reports - Descriptive | 2 |
Information Analyses | 1 |
Opinion Papers | 1 |
Reports - Evaluative | 1 |
Reports - General | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 10 |
Postsecondary Education | 7 |
High Schools | 2 |
Secondary Education | 2 |
Audience
Location
Australia | 1 |
Turkey | 1 |
United Kingdom (England) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Marlowe Crowne Social… | 1 |
Study Process Questionnaire | 1 |
What Works Clearinghouse Rating
Kazak, Sibel; Fujita, Taro; Turmo, Manoli Pifarre – Mathematical Thinking and Learning: An International Journal, 2023
In today's age of information, the use of data is very powerful in making informed decisions. Data analytics is a field that is interested in identifying and interpreting trends and patterns within big data to make data-driven decisions. We focus on informal statistical inference and data modeling as a means of developing students' data analytics…
Descriptors: Statistical Inference, Mathematics Skills, Mathematics Instruction, Secondary School Students
Rawat, Bhupesh; Dwivedi, Sanjay K. – International Journal of Information and Communication Technology Education, 2019
With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of 'e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various…
Descriptors: Electronic Learning, Student Characteristics, Learning Processes, Management Systems
Irby, Stefan M.; Phu, Andy L.; Borda, Emily J.; Haskell, Todd R.; Steed, Nicole; Meyer, Zachary – Chemistry Education Research and Practice, 2016
There is much agreement among chemical education researchers that expertise in chemistry depends in part on the ability to coordinate understanding of phenomena on three levels: macroscopic (observable), sub-microscopic (atoms, molecules, and ions) and symbolic (chemical equations, graphs, etc.). We hypothesize this "level-coordination…
Descriptors: Chemistry, Formative Evaluation, Graduate Students, College Students
Avella, John T.; Kebritchi, Mansureh; Nunn, Sandra G.; Kanai, Therese – Online Learning, 2016
Higher education for the 21st century continues to promote discoveries in the field through learning analytics (LA). The problem is that the rapid embrace of of LA diverts educators' attention from clearly identifying requirements and implications of using LA in higher education. LA is a promising emerging field, yet higher education stakeholders…
Descriptors: Higher Education, Literature Reviews, Data Collection, Data Analysis
Ellis, Robert A.; Han, Feifei; Pardo, Abelardo – Educational Technology & Society, 2017
The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the…
Descriptors: Academic Achievement, Data Analysis, Outcomes of Education, Observation
Cox, Bradley E.; McIntosh, Kadian; Reason, Robert D.; Terenzini, Patrick T. – Review of Higher Education, 2014
Nearly all quantitative analyses in higher education draw from incomplete datasets-a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across…
Descriptors: Data Analysis, Statistical Inference, Research Problems, Computation
Uzuner Yurt, Serap; Aktas, Elif – Educational Research and Reviews, 2016
In this study, the effects of the use of peer tutoring in Effective and Good Speech Course on students' success, perception of speech self-efficacy and speaking skills were examined. The study, designed as a mixed pattern in which quantitative and qualitative research approaches were combined, was carried out together with 57 students in 2014 to…
Descriptors: Peer Teaching, Tutoring, Higher Education, College Students
Wolniak, Gregory C.; Engberg, Mark E. – Research in Higher Education, 2010
This study aims to improve our understanding of the postsecondary impacts of high schools by investigating whether or not exposure to different high school contexts may explain academic performance once in college. Drawing on a sample of 3,750 participants from the National Longitudinal Survey of Freshmen, descriptive and multivariate analyses…
Descriptors: High Schools, Educational Environment, Context Effect, Academic Achievement

Liu, Richard; Sanders, Jack – Research in Higher Education, 1984
A simplified example of a technique, conceived by Yates and later developed by Goodman and Haberman, for the determination of appropriate log-models in the measurement of qualitative data in higher education is presented. (Author/MLW)
Descriptors: Data Analysis, Educational Quality, Higher Education, Models

Heppner, P. Paul; And Others – Journal of Counseling Psychology, 1994
Empirically developed multivariate categorization scheme for classifying clients' presenting problems. Counseling clients (n=611) completed Computerized Assessment System for Psychotherapy Evaluation and Research. Identified nine clusters of clients with different types of presenting problems that were stable across subsamples. (Author/NB)
Descriptors: Classification, Client Characteristics (Human Services), College Students, Data Analysis
Frey, James H. – New Directions for Institutional Advancement, 1979
A survey done properly by accepted and scientifically justifiable techniques can provide information on behalf of the goals of institutional advancement in academe. Deficiencies in institutional research are seen as the result of the lack of guidance on survey design, questionnaire construction, or problem definition in education research texts.…
Descriptors: Data Analysis, Higher Education, Institutional Research, Interviews
Munroe, Arnold; Pearson, Carolyn – Educational and Psychological Measurement, 2006
Institutions of higher education want to diversify their learning climates, and many offer courses in multiculturalism, yet these courses still do not meet the needs of attitudinal change. A new instrument was developed, the Munroe Multicultural Attitude Scale Questionnaire (MASQUE), that was theoretically based in Banks's transformative approach,…
Descriptors: Higher Education, Colleges, Data Analysis, Test Reliability

Ripley, William K. – Educational Evaluation and Policy Analysis, 1985
A communication theory paradigm typically is used to investigate the relationship between evaluation information and utilization: "Who says what, how, to whom, with what effects?" This study investigates the "how," or medium of presentation, aspect of the paradigm. (Author/LMO)
Descriptors: Data Analysis, Evaluation Criteria, Evaluation Methods, Evaluation Utilization
Brown, R. L. – 1984
The plotting of multivariate data using computer line-printers has become a popular means of quickly representing multidimensional data. While many plotting programs are available, there is a paucity of research regarding the validity and reliability of interpretations made by viewing such graphics. This study explores the validity of four…
Descriptors: Cluster Grouping, Computer Graphics, Computer Simulation, Data Analysis
Hanna, Margo – Campus-Wide Information Systems, 2004
Higher education (HE) is becoming a big business, with huge investments in IT technology supporting online learning. With the awareness of the knowledge economy has come a growing consciousness that HE constitutes a large industry or economic sector in its own right. In a marketing fashion, we understand that some customers present much greater…
Descriptors: Higher Education, Business, Economic Impact, Classification
Previous Page | Next Page ยป
Pages: 1 | 2