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Sghir, Nabila; Adadi, Amina; Lahmer, Mohammed – Education and Information Technologies, 2023
The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…
Descriptors: Prediction, Learning Analytics, Artificial Intelligence, Data Collection
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Alturki, Sarah; Hulpu?, Ioana; Stuckenschmidt, Heiner – Technology, Knowledge and Learning, 2022
The tremendous growth of educational institutions' electronic data provides the opportunity to extract information that can be used to predict students' overall success, predict students' dropout rate, evaluate the performance of teachers and instructors, improve the learning material according to students' needs, and much more. This paper aims to…
Descriptors: Grade Prediction, Academic Achievement, Data Use, Dropout Rate
Betsy Wolf – Grantee Submission, 2024
The What Works Clearinghouse (WWC) at the Institute of Education Sciences reviews rigorous research on educational practices, policies, programs, and products with a goal of identifying 'what works' and making that information accessible to the public. One critique of the WWC is the need to more closely examine 'what works' for whom, in which…
Descriptors: Data Use, Educational Research, Student Characteristics, Context Effect
Harmon, Timothy – Postsecondary Value Commission, 2021
The Postsecondary Value Commission, in its exploration of return on investment and value of a higher education, desired to better understand the current state of earnings data for states and institutions so that they could effectively measure and understand post-college employment and earnings. To that end, this brief includes a review of research…
Descriptors: Outcomes of Education, Higher Education, College Graduates, Employment Opportunities
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Mouna Denden; Ahmed Tlili; Nian-Shing Chen; Mourad Abed; Mohamed Jemni; Fathi Essalmi – Interactive Learning Environments, 2024
Gamification has gained an increasing attention from researchers and practitioners in various domains including education as it can increase learners' engagement and motivation. However, little is known about how educational gamification experiences can be influenced by learners' characteristics. Therefore, this study provides a systematic…
Descriptors: Gamification, Educational Games, Educational Research, Data Collection
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Natsumi Ueda; Adrianna Kezar – Cogent Education, 2024
Leadership programs for college students have significantly expanded over the past decades. However, there remains a lack of systematic synthesis regarding pedagogical practices employed in these programs. This article aims to fill this research gap by presenting a systematic review of empirical studies examining pedagogies in formal leadership…
Descriptors: Literature Reviews, College Students, Student Leadership, Leadership Training
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Yiheng Wang; Liman Man Wai Li – British Journal of Educational Psychology, 2024
Background: Parents are often involved in their child's homework with the goal of improving their child's academic achievement. However, mixed findings were observed for the role of parental involvement in homework in shaping students' learning outcomes. Aims: The present study examined whether and how the effect of parental involvement in…
Descriptors: Data Analysis, Collectivism, Individualism, Parent Participation
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Ambra L. Green; Amanda A. Olsen; Mara E. Power; Vandana Nandakumar – Preventing School Failure, 2024
The continual use of suspension and expulsion remains an unsettling concern for many educational stakeholders. With some guidance from the federal government, states have begun to address the issue of discipline disproportionality through policy reform that restrict the use of suspension and expulsion for certain student groups (e.g.,…
Descriptors: Discipline Policy, Suspension, Expulsion, Disproportionate Representation
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Lindsay Ruhter; Meagan Karvonen – Remedial and Special Education, 2024
There is evidence that data-based decision-making (DBDM) can improve outcomes for a wide range of students. However, less is known about how special education teachers are trained to use data to inform instruction that targets academic progress for students with extensive support needs (ESN). The purpose of this systematic literature review was to…
Descriptors: Student Needs, Decision Making, Data Use, Outcomes of Education
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Piety, Philip J. – Review of Research in Education, 2019
This chapter reviews actionable data use--both as an umbrella term and as a specific concept--developed in three different traditions that data/information can inform and guide P-20 educational practice toward better outcomes. The literatures reviewed are known as data-driven decision making (DDDM), education data mining (EDM), and learning…
Descriptors: Educational Practices, Data Use, Outcomes of Education, Learning Analytics
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Jason H. Sharp; John E. Anderson; Guido Lang – Information Systems Education Journal, 2025
The "Information Systems Education Journal" has published uninterrupted since 2003. Over its publication history, it has covered myriad topics related to information systems education including model curriculum, outcomes assessment, online learning, capstone courses, service learning, data analytics, and cybersecurity, just to name a…
Descriptors: Information Systems, Computer Science Education, Educational Research, Bibliometrics
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Kotsiou, Athanasia; Fajardo-Tovar, Dina Daniela; Cowhitt, Tom; Major, Louis; Wegerif, Rupert – Irish Educational Studies, 2022
Many agree that education needs new goals that reflect the demands of the future. These are often called 'Future Skills', referring to the knowledge, attitudes, values, skills, and competencies intended to prepare learners for the future. The need to teach such Future Skills is often cited, justified by the perception that the future will present…
Descriptors: 21st Century Skills, Futures (of Society), Barriers, Data Analysis
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Isaac B. Oluwatayo; Ayodeji O. Ojo; Salamatu I. Isah; Anthonia T. Odeleye – Journal of Education, 2024
Despite huge investments in the educational sector, many countries in Africa have not fared well in the education indices. This study examined the effect of teaching equipment and teachers' effort on learning outcomes in 744 Nigerian primary schools using Stochastic Frontier and Ordinary Least Square regression. The mean technical efficiency was…
Descriptors: Foreign Countries, Elementary Schools, Resource Allocation, Data
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Ridwan, M. Rais; Hadi, Samsul; Jailani – Journal on Efficiency and Responsibility in Education and Science, 2022
This meta-analysis intends to determine the impact of cooperative learning model research findings on the mathematics learning outcomes of Indonesian vocational high school students. Based on moderator variables, such as grade level and student sample size, identify efficacy and publication bias measures. Data from descriptive analysis, which…
Descriptors: Cooperative Learning, Mathematics Education, Outcomes of Education, Vocational Schools
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Natercia Valle; Pavlo Antonenko; Kara Dawson; Anne Corinne Huggins-Manley – British Journal of Educational Technology, 2021
The advances in technology to capture and process unprecedented amounts of educational data has boosted the interest in Learning Analytics Dashboard (LAD) applications as a way to provide meaningful visual information to administrators, parents, teachers and learners. Despite the frequent argument that LADs are useful to support target users and…
Descriptors: Learning Analytics, Access to Information, Efficiency, Data Use
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