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Umer, Rahila; Susnjak, Teo; Mathrani, Anuradha; Suriadi, Lim – Interactive Learning Environments, 2023
Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…
Descriptors: Prediction, Student Behavior, Models, Academic Achievement
Quadir, Benazir; Chen, Nian-Shing; Isaias, Pedro – Interactive Learning Environments, 2022
The purpose of this study is to review journal papers on educational big data research published from 2010 to 2018. A total of 143 papers were selected. The papers were characterized based on three dimensions: (a) educational goals; (b) educational problems addressed; and (c) big data analytical techniques used. A qualitative content analysis…
Descriptors: Data, Educational Research, Educational Objectives, Data Analysis
Wesley Jeffrey; Benjamin G. Gibbs – Research in Higher Education, 2024
While a substantial body of work has shown that higher-SES students tend to apply to more selective colleges than their lower-SES counterparts, we know relatively less about "why" students differ in their application behavior. In this study, we draw upon a sociological approach to educational stratification to unpack the SES-based gap in…
Descriptors: College Applicants, Socioeconomic Status, Socioeconomic Influences, College Choice
Xu, Tonghui – Journal of Educators Online, 2023
The early detection of students' academic performance or final grades helps instructors prepare their online courses. In the Open University Learning Analytics Dataset, I found many online students clicked the course materials before the first day of class. This study aims to investigate how data mining models can use this student interaction data…
Descriptors: College Students, Online Courses, Academic Achievement, Data Analysis
Fischer, Christian; Pardos, Zachary A.; Baker, Ryan Shaun; Williams, Joseph Jay; Smyth, Padhraic; Yu, Renzhe; Slater, Stefan; Baker, Rachel; Warschauer, Mark – Review of Research in Education, 2020
The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, which were previously too costly to obtain with…
Descriptors: Data Analysis, Data Collection, Decision Making, Instructional Effectiveness
Baig, Maria Ijaz; Shuib, Liyana; Yadegaridehkordi, Elaheh – International Journal of Educational Technology in Higher Education, 2020
Big data is an essential aspect of innovation which has recently gained major attention from both academics and practitioners. Considering the importance of the education sector, the current tendency is moving towards examining the role of big data in this sector. So far, many studies have been conducted to comprehend the application of big data…
Descriptors: Educational Research, Educational Trends, Learning Analytics, Student Behavior
Wei, Yang; Zhang, Huihong; Yin, Hongsong – SAGE Open, 2020
In China, since the beginning of the 21st century, the study of sports communication has gradually attracted the attention of the academic community, and a number of valuable achievements have emerged. The 2,863 articles that were published by core journals of sport communication from 1982 to 2018 and collected from the CNKI database were chosen…
Descriptors: Foreign Countries, Communication (Thought Transfer), Athletics, Communication Research
Mavroudi, Anna; Giannakos, Michail; Krogstie, John – Interactive Learning Environments, 2018
Learning Analytics (LA) and adaptive learning are inextricably linked since they both foster technology-supported learner-centred education. This study identifies developments focusing on their interplay and emphasises insufficiently investigated directions which display a higher innovation potential. Twenty-one peer-reviewed studies are…
Descriptors: Student Centered Learning, Evidence Based Practice, Technology Uses in Education, Student Diversity
Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
Crescenzi-Lanna, Lucrezia – British Journal of Educational Technology, 2020
Learning Analytics and Multimodal Learning Analytics are changing the way of analysing the learning process while students interact with an educational content. This paper presents a systematic literature review aimed at describing practices in recent Multimodal Learning Analytics and Learning Analytics research literature in order to identify…
Descriptors: Learning Modalities, Learning Analytics, Student Behavior, Progress Monitoring
Ramsden, Bryony – New Review of Academic Librarianship, 2016
Research in academic libraries has recently seen an increase in the use of ethnographic-based methods to collect data. Primarily used to learn about library users and their interaction with spaces and resources, the methods are proving particularly useful to academic libraries. The data ethnographic methods retrieve is rich, context specific, and…
Descriptors: Ethnography, Academic Libraries, Library Research, Literature Reviews
Petersen, Amanda J.; MartinRogers, Nicole – Wilder Research, 2016
The school-wide positive behavioral interventions and supports (SW PBIS) program is managed by the Minnesota Department of Education and is implemented in hundreds of Minnesota schools. PBIS is an evidence-based model that attempts to develop a school-wide positive behavior culture. Based on previously documented outcomes, PBIS is a potential…
Descriptors: Positive Behavior Supports, Intervention, Evidence Based Practice, Student Behavior
Wilson, Richard E., II – 1999
This report describes a national telephone survey of randomly selected middle and high school principals to measure the impact of school-uniform dress codes on perceived level of school violence. In addition to measuring the impact of school uniforms on principals' perception of violence, selected variables such as region, gender, and educational…
Descriptors: Crime Prevention, Data Collection, Data Interpretation, Dress Codes
Del Carlo, Dawn; Bodner, George – Biochemistry and Molecular Biology Education, 2006
Although reports of academic cheating are abundant, there are relatively few papers in the literature that focus on cheating in the context of science courses and even fewer that address dishonest practices, such as "cooking" or fudging data, within the classroom laboratory. This paper briefly reviews the existing literature on academic dishonesty…
Descriptors: Laboratories, Biochemistry, Molecular Biology, Cheating
Jarvis, Gilbert A.; Adams, Shirley J. – 1979
This introduction to second language program evaluation begins with a rationale outlining the major issues involved in program evaluation. Procedures for evaluation are described, and examples are offered of goal statements, sub-goal statements, curriculum objectives, and learning objectives. Guidelines for judging a statement of aims are listed.…
Descriptors: Classroom Observation Techniques, Data Analysis, Data Collection, Educational Objectives
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