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Danible, Kaitlin; Panizza, Chloe; Boushey, Carol; Kerr, Deborah; Zhu, Fengqing; Banna, Jinan C. – Journal of Extension, 2021
The mobile food record™ (mFR™) is a novel app that allows for the tracking of individual food waste and addresses the limitations of current methods to accurately quantify food waste. Extension educators may use data from the mFR™ to create educational initiatives for food waste prevention and education that may be implemented in settings such as…
Descriptors: Food, Measurement, Computer Oriented Programs, Extension Education
Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
Montgomery, Amanda P.; Mousavi, Amin; Carbonaro, Michael; Hayward, Denyse V.; Dunn, William – British Journal of Educational Technology, 2019
Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL…
Descriptors: Blended Learning, Educational Technology, Higher Education, Undergraduate Students
Alturkistani, Abrar; Car, Josip; Majeed, Azeem; Brindley, David; Wells, Glenn; Meinert, Edward – International Association for Development of the Information Society, 2018
Massive Open Online Courses (MOOCs) are widely used to deliver specialized education and training in different fields. Determining the effectiveness of these courses is an integral part of delivering comprehensive, high-quality learning. This study is an evaluation of a MOOC offered by Imperial College London in collaboration with Health iQ…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Chen, Chen-Tung; Chang, Kai-Yi – EURASIA Journal of Mathematics, Science & Technology Education, 2017
The phenomenon of low fertility has been negatively impacted on the social structure of the educational environment in Taiwan. To increase the learning effectiveness of students became the most important issue for the Universities in Taiwan. Due to the subjective judgment of evaluators and the attributes of influenced factors are always fuzzy, it…
Descriptors: Data Collection, Data Analysis, Foreign Countries, Higher Education
Bartlett, Michelle E.; Bartlett, James E. – Journal of Educators Online, 2016
A qualitative case study research design provided an in-depth perspective of the participants in relation to understanding the holistic impact technology has on the incivility of student-to-student and student-to-faculty interactions in higher education. The conceptual framework by Twale and Deluca (2008), based upon Salin's (2003) proposed model…
Descriptors: Qualitative Research, Case Studies, Influence of Technology, Antisocial Behavior
Firat, Mehmet – Journal of Information Technology Education: Research, 2016
Two of the most important outcomes of learning analytics are predicting students' learning and providing effective feedback. Learning Management Systems (LMS), which are widely used to support online and face-to-face learning, provide extensive research opportunities with detailed records of background data regarding users' behaviors. The purpose…
Descriptors: Academic Achievement, Integrated Learning Systems, Electronic Learning, Management Systems
Chung, Gregory K. W. K. – Teachers College Record, 2014
Background: Historically, significant advances in scientific understanding have followed advances in measurement and observation. As the resolving power of an instrument increased, so have gains in the understanding of the phenomena being observed. Modern interactive systems are potentially the new "microscopes" when they are…
Descriptors: Online Systems, Data Analysis, Data Collection, Data Interpretation
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
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Vachon, Jean – 1983
The influence of atmospheric conditions and the day of the week on school children's behavior was investigated by undergraduates. The college students were told either that their participation in the research was compulsory and would be graded, or that their participation was voluntary and ungraded. Fifty teachers observed their pupils' behavior…
Descriptors: Data Collection, Environmental Influences, Grading, Higher Education
Astin, Alexander W.; And Others – 1967
The 3 papers in this report cover different aspects of a longitudinal research program undertaken by the American Council on Education (ACE) to assess the impact of different college environments on student development. ACE plans to create a comprehensive file of data on students and institutions of higher education which will be updated annually.…
Descriptors: Data Collection, Educational Research, Higher Education, Institutional Environment
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2015
These proceedings contain the papers of the International Conference e-Learning 2015, which was organised by the International Association for Development of the Information and Society and is part of the Multi Conference on Computer Science and Information Systems (Las Palmas de Gran Canaria, Spain, July 21-24, 2015). The e-Learning 2015…
Descriptors: Conference Papers, Failure, Electronic Learning, Success

Ryan, Marilyn E.; And Others – Journal of Health Education, 1992
Reports on a descriptive profile of college students' HIV-related knowledge, attitudes, and behaviors. Students reported good HIV knowledge and positive attitudes regarding infected individuals but also reported high risk behaviors. It is proposed that information from this study will supply useful information for national health objectives for…
Descriptors: Acquired Immune Deficiency Syndrome, College Students, Computer Assisted Testing, Data Collection
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