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Tafesse, Wondwesen – International Journal of Educational Technology in Higher Education, 2022
With the widespread adoption of social networking sites among college students, discerning the relationship between social networking sites use and college students' academic performance has become a major research endeavor. However, much of the available research in this area rely on student self-reports and findings are notably inconsistent.…
Descriptors: Social Networks, College Students, Computer Software, Academic Achievement
Xu, Yinuo; Pardos, Zachary A. – International Educational Data Mining Society, 2023
In studies that generate course recommendations based on similarity, the typical enrollment data used for model training consists only of one record per student-course pair. In this study, we explore and quantify the additional signal present in course transaction data, which includes a more granular account of student administrative interactions…
Descriptors: Semantics, Enrollment Trends, Learning Analytics, STEM 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
Zualkernan, Imran – International Association for Development of the Information Society, 2021
A significant amount of research has gone into predicting student performance and many studies have been conducted to predict why students drop out. A variety of data including digital footprints, socio-economic data, financial data, and psychological aspects have been used to predict student performance at the test, course, or program level.…
Descriptors: Prediction, Engineering Education, Academic Achievement, Dropouts
Olipas, Cris Norman P. – Online Submission, 2020
This study aimed to design and develop a Student Information and Violation Management System (SIVMS) for a Higher Educational Institution in Central Luzon, Philippines. It utilized the descriptive developmental design of research in which the researcher described and explained the processes performed to design and develop the prototype system. The…
Descriptors: Information Systems, Design, Higher Education, Foreign Countries
Wang, Ling – Journal of Educational Multimedia and Hypermedia, 2021
Running records is an important reading assessment for diagnosing early readers' needs in diverse instructional settings across grade levels. This study develops an innovative app to help teachers administer running records assessment and investigates teachers' perceptions of its functionality and usability in practical classrooms. The app offers…
Descriptors: Miscue Analysis, Reading Comprehension, Reading Tests, Computer Software
Qazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss – Education and Information Technologies, 2019
The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…
Descriptors: Data Analysis, Academic Achievement, At Risk Students, High School Students
Pember, Edward R.; Owens, Alison; Yaghi, Shazhi – Journal of Higher Education Policy and Management, 2014
This paper investigates the users and uses of a centralised customer relationship management (CRM) system at a regional Australian university to improve the understanding of the staff experience of interacting with this customised technology. How and why the software is used by a cross section of university departments is explored through…
Descriptors: Foreign Countries, College Faculty, Computer Software, Interviews
Dixson, Marcia D. – Online Learning, 2015
Student engagement is critical to student learning, especially in the online environment, where students can often feel isolated and disconnected. Therefore, teachers and researchers need to be able to measure student engagement. This study provides validation of the Online Student Engagement scale (OSE) by correlating student self-reports of…
Descriptors: Learner Engagement, Online Courses, Educational Technology, Measurement Techniques
Tseng, Shian-Shyong; Sue, Pei-Chi; Su, Jun-Ming; Weng, Jui-Feng; Tsai, Wen-Nung – Computers & Education, 2007
In recent years, e-learning system has become more and more popular and many adaptive learning environments have been proposed to offer learners customized courses in accordance with their aptitudes and learning results. For achieving the adaptive learning, a predefined concept map of a course is often used to provide adaptive learning guidance…
Descriptors: Concept Mapping, Educational Technology, Virtual Classrooms, Junior High Schools
Mandeville, Garrett K. – 1988
This paper describes and evaluates a computerized system, MATCH, which is being used in South Carolina to match or link student records from year to year. The functioning of MATCH and its specific features are described, and its use in matching student test scores is detailed. The problem of mismatched records and the use of visual editing to…
Descriptors: Algorithms, Computer Oriented Programs, Computer Software, Data Analysis
Minnesota State Dept. of Education, St. Paul. Instructional Design Section. – 1989
This report is based on the premise that giving teachers computer tools will enhance instructional effectiveness, encourage teacher collaboration, and maximize staff efficiency. The purpose of the report is to heighten awareness of the importance of providing teachers computer tools to work with and to describe the critical components needed to…
Descriptors: Behavioral Objectives, Computer Graphics, Computer Software, Cooperative Planning