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Achmad Bisri; Supardi; Yayu Heryatun; Hunainah; Annisa Navira – Journal of Education and Learning (EduLearn), 2025
In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…
Descriptors: Data Analysis, Models, Academic Achievement, Evaluation Methods
Boutilier, Justin J.; Chan, Timothy C. Y. – INFORMS Transactions on Education, 2023
Artificial intelligence (AI) and operations research (OR) have long been intertwined because of their synergistic relationship. Given the increasing popularity of AI and machine learning in particular, we face growing demand for educational offerings in this area from our students. This paper describes two courses that introduce machine learning…
Descriptors: Artificial Intelligence, Operations Research, Undergraduate Students, Engineering Education
Yanhui Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
In recent years, China has accelerated the process of internationalization and made more and more achievements in transnational communication and cooperation. English learning is very important for contemporary college students. And English reading is an important means to acquire English language knowledge, understand external information and…
Descriptors: Algorithms, College Students, English (Second Language), Reading Ability
Rebecka Rundquist; Kristina Holmberg; John Rack; Zeynab Mohseni; Italo Masiello – Journal of Learning Analytics, 2024
The generation, use, and analysis of educational data comes with many promises and opportunities, especially where digital materials allow usage of learning analytics (LA) as a tool in data-based decision-making (DBDM). However, there are questions about the interplay between teachers, students, context, and technology. Therefore, this paper…
Descriptors: Learning Analytics, Elementary Secondary Education, Mathematics Education, Data Analysis
Amukune, Stephen; Caplovitz Barrett, Karen; Józsa, Krisztián – Journal of New Approaches in Educational Research, 2022
Precise assessment of school readiness is critical because it has practical and theoretical implications for children's school and life success. However, school readiness assessment mainly relies on teacher reports and a few direct evaluations requiring a trained examiner. Studies indicate that 80% of games and apps target preschool children and…
Descriptors: Game Based Learning, Evaluation Methods, Student Evaluation, School Readiness
Pal, Monojit – Shanlax International Journal of Education, 2022
Quality education is a prerequisite and essence of human development. At present, India has improved a lot, but, in some cases, it still needs some improvement like retention and enrollment of students in education. The drop-out problem is a major in India. During this pandemic situation, drop-out problems become a significant issue. Researchers…
Descriptors: Foreign Countries, Dropout Prevention, Academic Persistence, COVID-19
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2020
Although the number of countries conducting large-scale assessments has significantly increased over the past two decades, this has not necessarily led to the effective use of learning assessment data in policymaking and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Student Evaluation, Foreign Countries, Elementary Secondary Education, National Competency Tests
Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
Raudonyte, Ieva; Bodin, Mathieu – UNESCO International Institute for Educational Planning, 2021
Although the number of countries conducting large-scale assessments has increased significantly over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Data Use, Foreign Countries, Student Evaluation, Educational Planning
Provasnik, Stephen; Dogan, Enis; Erberber, Ebru; Zheng, Xiaying – National Center for Education Statistics, 2020
Large-scale assessment programs, such as the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS), employ item response theory (IRT) and marginal estimation methods to estimate student proficiency in specific subjects such as mathematics, science, or reading. Each of these…
Descriptors: Student Evaluation, Evaluation Methods, Academic Achievement, Item Response Theory
Selwyn, Neil – British Journal of Sociology of Education, 2018
This article reviews two recent books on the rising use of digital data in schools and university education, reflecting on areas of further research, analysis, and action. The books discussed are: (1) "The datafication of primary and early years education: playing with numbers," by A. Bradbury and G. Roberts-Holmes, London, Routledge,…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
Uzun, N. Bilge; Aktas, Mehtap; Asiret, Semih; Yormaz, Seha – Asian Journal of Education and Training, 2018
The goal of this study is to determine the reliability of the performance points of dentistry students regarding communication skills and to examine the scoring reliability by generalizability theory in balanced random and fixed facet (mixed design) data, considering also the interactions of student, rater and duty. The study group of the research…
Descriptors: Foreign Countries, Generalizability Theory, Scores, Test Reliability
Valenza, Marco; Dreesen, Thomas; Kan, Sophia – UNICEF Office of Research - Innocenti, 2022
One tool that many families own, across the globe, is a basic mobile phone. The use of low-cost basic mobile phones for educational purposes in humanitarian settings is critical where access to connectivity and higher cost devices is limited. The portability of mobile phones, combined with their communication features, offers multiple uses to…
Descriptors: COVID-19, Pandemics, Telecommunications, Handheld Devices
Ko, Eunhye; Lim, Kyu Yun; Joo, Soo Hyoung; Resta, Paul E. – Journal of Technology and Teacher Education, 2021
The unforeseen school closures in response to COVID-19 have brought unique challenges to teachers, who were required to not only flexibly shift between on- and off-line learning but also safely promote student-centered and collaborative learning in socially distanced remote and on-campus classrooms. Teachers in South Korea, one of the first…
Descriptors: Foreign Countries, Blended Learning, Educational Technology, Technology Uses in Education
Diego, Leo Andrew B. – IAFOR Journal of Education, 2017
Cheating during examinations is triggered by peer influence. It makes every learner know and do what should not be done. Cheating during examinations defeats the purpose of understanding, applying and creating ideas as stipulated in the revised Bloom's taxonomy by Anderson. The study reported here was designed to delve into the reasons and…
Descriptors: Foreign Countries, Cheating, Student Evaluation, Junior High School Students