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Sy-Miin Chow; Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl – Journal of Statistics and Data Science Education, 2024
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…
Descriptors: Individualized Instruction, Instructional Design, Science Education, Higher Education
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
Miguel, Hugo Gonzaga; Ramos, Pedro; da Cruz Martins, Susana; Costa, Joana Martinho – Education for Information, 2020
One of the most widely researched issue on higher education relates to exposed paths that lead to academic success. Nowadays information systems represent an essential part of the education sector in many universities. In particular, the increasing of the number of students in higher education in Portugal leads to the progressive increase of…
Descriptors: Foreign Countries, Educational Research, Higher Education, Academic Achievement
Klašnja-Milicevic, Aleksandra; Ivanovic, Mirjana – Informatics in Education, 2018
Amount of educational data has been constantly increasing for years in all domains and kinds of education (formal or informal) and educational activities (teaching, learning, assessment, use of social media and collaboration and so on). Accordingly, Learning Analytics (LA) become a powerful mechanism for supporting learners, instructors, teachers,…
Descriptors: Data Analysis, Learning, Technology Uses in Education, Higher Education
Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – Interactive Technology and Smart Education, 2018
Purpose: The purpose of the study was to test the usability of the MyLA app prototype by its potential users. Furthermore, the Web app will be introduced in the framework of "Mobile Learning Analytics", a cooperation project between the Cooperative State University Mannheim and University of Mannheim. The participating universities focus…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
Sánchez, Inmaculada Arnedillo, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2018
These proceedings contain the papers of the 14th International Conference on Mobile Learning 2018, which was organised by the International Association for Development of the Information Society, in Lisbon, Portugal, April 14-16, 2018. The Mobile Learning 2018 Conference seeks to provide a forum for the presentation and discussion of mobile…
Descriptors: Electronic Learning, Educational Research, Data Collection, Data Analysis
Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – International Association for Development of the Information Society, 2017
This study aims to test the usability of MyLA (My Learning Analytics), an application for students at two German universities: The Cooperative State University Mannheim and University of Mannheim. The participating universities focus on the support of personalized and self-regulated learning. MyLA collects data such as learning behavior and…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
Baker, Ariana – Journal of Library & Information Services In Distance Learning, 2016
Distance learning programs across the country continue to grow and evolve. In order to support these programs, librarians are often expected to convert face-to-face classes and reference sessions to the online environment. Due to the necessity of explaining information literacy concepts and demonstrating the access and use of library resources,…
Descriptors: Active Learning, Interactive Video, Distance Education, Blended Learning
Sánchez, Inmaculada Arnedillo, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2015
These proceedings contain the papers and posters of the 11th International Conference on Mobile Learning 2015, which was organised by the International Association for Development of the Information Society, in Madeira, Portugal, March 14-16, 2015. The Mobile Learning 2015 Conference seeks to provide a forum for the presentation and discussion of…
Descriptors: Conference Papers, Telecommunications, Educational Technology, Technology Uses in Education
Sanford, Timothy R. – 1982
The most advantageous relationship between computer technology and institutional research is considered. Three potential problem areas are discussed: those associated with a central data processing center, those germane to minicomputers or terminals within the institutional research office, and those nondiscriminating types which cover both…
Descriptors: Computer Oriented Programs, Computers, Data Analysis, Data Collection
Carmo, Mafalda, Ed. – Online Submission, 2017
This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…
Descriptors: Educational Quality, Models, Vocational Education, Outcomes of Education

McLaughlin, Gerald W.; And Others – 1978
To estimate computer needs at a higher education institution, the major types of users and their future needs should be determined. In a large or complex university, three major groups of users are typically instructional, research, and administrative. After collecting information on the needs of these users, the needs can be translated into…
Descriptors: College Administration, Computer Assisted Instruction, Computer Oriented Programs, Computers
Guo, Sheng – 1988
This report discusses the methods, techniques, and software applications used in processing the data gathered in a survey of the physical condition and health of students in Guangdong Province, China. The introduction provides background on the survey. Survey grouping, data items, and survey procedures are then described. A discussion of…
Descriptors: Computer Oriented Programs, Computer Software, Data Analysis, Data Processing
Halley, Fred S. – 1973
A package of social science programs--Sociology Library (SOLIB)--for small computers provides users with a partial solution to the problems stemming from the heterogeneity of social science applications programs. SOLIB offers a uniform approach to data handling and program documentation; all its programs are written in standard FORTRAN for the IBM…
Descriptors: Computer Assisted Instruction, Computer Oriented Programs, Computer Programs, Data Analysis

Heise, David R.; Simmons, Roberta G. – Science, 1985
Discusses several ways in which computers are being used in sociology and how they continue to change this discipline. Areas considered include data collection, data analysis, simulations of social processes based on mathematical models, and problem areas (including standardization concerns, training, and the financing of computing facilities).…
Descriptors: Computer Oriented Programs, Computer Science, Computer Simulation, Data Analysis