Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 6 |
Descriptor
Data | 8 |
Data Processing | 8 |
Higher Education | 8 |
Information Management | 4 |
Comparative Analysis | 3 |
Data Collection | 3 |
Best Practices | 2 |
College Faculty | 2 |
College Students | 2 |
Constructivism (Learning) | 2 |
Data Analysis | 2 |
More ▼ |
Source
Campus Technology | 1 |
International Association for… | 1 |
Journal of Geoscience… | 1 |
Journal of Higher Education… | 1 |
Learning, Media and Technology | 1 |
Measurement in Physical… | 1 |
Research & Practice in… | 1 |
Author
Buchanan, Taylor L. | 1 |
Eran Fisher | 1 |
Gose, Frank J. | 1 |
Hamblin, David J. | 1 |
Hemy Ramiel | 1 |
Lohse, Keith R. | 1 |
O'Reilly, Una-May | 1 |
Phoenix, David A. | 1 |
Veeramachaneni, Kalyan | 1 |
Waters, John K. | 1 |
Wells, Neil A. | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Descriptive | 4 |
Reports - Research | 2 |
Collected Works - Proceedings | 1 |
Guides - Classroom - Teacher | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 6 |
Postsecondary Education | 4 |
Elementary Secondary Education | 1 |
Audience
Location
United States | 2 |
Asia | 1 |
Australia | 1 |
Brazil | 1 |
Canada | 1 |
Connecticut | 1 |
Denmark | 1 |
Egypt | 1 |
Estonia | 1 |
Florida | 1 |
Germany | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hemy Ramiel; Eran Fisher – Learning, Media and Technology, 2024
This paper adds an algorithmic epistemology perspective to previous works that examine the datafication of subjective social and emotional characteristics, perceptions, and behaviours. The paper employs a comparative epistemological approach to explore two behavioural educational platforms: RedCritter Teacher and Panorama Education. We unpack…
Descriptors: Epistemology, Social Emotional Learning, Data, Higher Education
Waters, John K. – Campus Technology, 2012
In the case of higher education, the hills are more like mountains of data that "we're accumulating at a ferocious rate," according to Gerry McCartney, CIO of Purdue University (Indiana). "Every higher education institution has this data, but it just sits there like gold in the ground," complains McCartney. Big Data and the new tools people are…
Descriptors: Higher Education, Educational Change, Data, Data Processing
O'Reilly, Una-May; Veeramachaneni, Kalyan – Research & Practice in Assessment, 2014
Because MOOCs bring big data to the forefront, they confront learning science with technology challenges. We describe an agenda for developing technology that enables MOOC analytics. Such an agenda needs to efficiently address the detailed, low level, high volume nature of MOOC data. It also needs to help exploit the data's capacity to reveal, in…
Descriptors: Data, Technology Uses in Education, Online Courses, Open Education
Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
Hamblin, David J.; Phoenix, David A. – Journal of Higher Education Policy and Management, 2012
There are increasing demands for higher levels of data assurance in higher education. This paper explores some of the drivers for this trend, and then explains what stakeholders mean by the concept of data assurance, since this has not been well defined previously. The paper captures insights from existing literature, stakeholders, auditors, and…
Descriptors: Higher Education, Educational Technology, Stakeholders, Quality Assurance
Gose, Frank J. – 1989
The accuracy and reliability aspects of data integrity are discussed, with an emphasis on the need for consistency in responsibility and authority. A variety of ways in which data integrity can be compromised are discussed. The following sources of data corruption are described, and the ease or difficulty of identification and suggested actions…
Descriptors: Administrative Problems, Data, Data Collection, Data Processing

Wells, Neil A. – Journal of Geoscience Education, 2002
Uses earthquakes to teach about the importance of collecting enough data and simplifying and visualizing them appropriately. Leads students relatively easily into a sophisticated yet enjoyable examination of large databases and creating hypotheses to explain the patterns that they unearth. (Author/NB)
Descriptors: Data, Data Processing, Earth Science, Earthquakes
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