NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for International…1
What Works Clearinghouse Rating
Showing all 14 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Guiyun Feng; Honghui Chen – Education and Information Technologies, 2025
Data mining has been successfully and widely utilized in educational information systems, and an important research field has been formed, which is educational data mining. Process mining inherits the characteristics of data mining which can not only use historical data in the system to analyze learning behavior and predict academic performance,…
Descriptors: Educational Research, Artificial Intelligence, Data Use, Algorithms
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Haim, Aaron; Gyurcsan, Robert; Baxter, Chris; Shaw, Stacy T.; Heffernan, Neil T. – International Educational Data Mining Society, 2023
Despite increased efforts to assess the adoption rates of open science and robustness of reproducibility in sub-disciplines of education technology, there is a lack of understanding of why some research is not reproducible. Prior work has taken the first step toward assessing reproducibility of research, but has assumed certain constraints which…
Descriptors: Conferences (Gatherings), Educational Research, Replication (Evaluation), Access to Information
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Garcia, Léo Manoel Lopes da Silva; Lara, Daiany Francisca; Gomes, Raquel Salcedo; Cazella, Silvio Cézar – Turkish Online Journal of Educational Technology - TOJET, 2022
In educational data mining (EDM), preprocessing is an arduous and complex task and must promote an appropriate treatment of data to solve each specific educational problem. In the same way, the parameters used in the evaluation of postprocessing results are decisive in the interpretation of the results and decision-making in the future. These two…
Descriptors: Educational Research, Information Retrieval, Data Processing, Mathematics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Villanueva Manjarres, Andrés; Moreno Sandoval, Luis Gabriel; Salinas Suárez, Martha Janneth – Digital Education Review, 2018
Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…
Descriptors: Information Retrieval, Data Analysis, Educational Environment, Research Methodology
Jewell, Sharon; Brandhorst, W. T. – 1973
The Educational Resources Information Center (ERIC) system's computerized data base was the focus of a three-hour tutorial session on search strategies. This document is the workshop manual used by the tutorial participants. The discussion of the input phase of a computer search covers identification of the user population, receiving the inquiry,…
Descriptors: Computers, Data Processing, Databases, Educational Research
Wilmoth, James Noel – 1973
Cost effectiveness of the QUERY program for searching the Educational Resources Information Center (ERIC) data base has been an important issue at Auburn University. At least two broad categories of costs are associated with information retrieval from a data base such as ERIC: fixed costs or overhead and data base associated costs. The concern at…
Descriptors: Computer Programs, Cost Effectiveness, Data Processing, Databases
MERSEL, JULES; AND OTHERS – 1966
A STUDY WAS CONDUCTED TO PROVIDE GUIDANCE IN THE DEVELOPMENT OF THE EDUCATIONAL RESEARCH INFORMATION CENTER (ERIC) FOR THE U.S. OFFICE OF EDUCATION. THE STUDY CENTERED AROUND THREE TASKS--(1) TO DETERMINE PRESENT INFORMATION NEEDS AMONG PERSONS CONCERNED WITH EDUCATIONAL RESEARCH, (2) TO IDENTIFY THE TECHNOLOGY PROBABLY AVAILABLE TO MEET THESE…
Descriptors: Data Processing, Educational Research, Information Dissemination, Information Processing
Hounsell, Dai; And Others – 1977
The purpose of this small scale study was to make a preliminary assessment of the potential value of the ERIC data base for educators in Britain. On-line searches of the ERIC data base were conducted for a sample of fourteen users who were asked to comment on the relevance of retrieved materials. Results indicate that ERIC can provide access to…
Descriptors: Computers, Data Processing, Databases, Educational Research
Hays, Daniel G. – 1971
A computer-based system for handling transcripts describing social behavior, verbal and otherwise, is described in this paper. Among the features of note in the system are the provision for fairly flexible conventions for noting, in transcripts, several kinds of useful data including actor designations, sequencing indicators, and user-defined…
Descriptors: Automation, Computer Oriented Programs, Data Processing, Educational Research
KAIMANN, RICHARD A., ED.; MARKER, ROBERT W., ED. – 1967
WRITTEN FOR ADMINISTRATORS AND PLANNERS, THIS ANTHOLOGY IS CONCERNED WITH INFORMATION PRINCIPLES, EFFECTS, DESIGN, AND INTEGRATION OF SYSTEMS. CONCENTRATING ON THE CONSTRAINTS ON AUTOMATION AND ITS IMPACT ON EDUCATION, THE DOCUMENT CONSIDERS NEW USES FOR COMPUTERS IN REPORTING STATISTICS, SCHOOL CENSUS, ATTENDANCE COUNTING, GRADING, SCHEDULING,…
Descriptors: Administration, Administrative Problems, Attendance, Automation
Dave, Ashok – 1972
To assist the formation of IMS (Instructional Management System) configurations, three categories of characteristics are developed and explained. Categories 1 and 2 emphasize automation, and the necessity of forming workable configurations to carry out instructional management for Southwest Regional Laboratory developed instructional and/or…
Descriptors: Automation, Computer Oriented Programs, Cost Effectiveness, Data Processing
Dave, Ashok – 1972
The operational features of feasible alternative configurations for a computer-based instructional management system are identified. Potential alternative means and components of accomplishing these features are briefly described. Included are aspects of data collection, data input, data transmission, data reception, scanning and processing,…
Descriptors: Computer Assisted Instruction, Computer Science, Data Collection, Data Processing
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
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