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Gaftandzhieva, Silvia; Docheva, Mariya; Doneva, Rositsa – Education and Information Technologies, 2021
Many educational institutions use a large number of information systems to automate their activities for different stakeholders' groups -- learning management systems, student diary, library system, digital repositories, management system, etc. This leads to a significant increase in the volume and variety of data that can be captured, stored, and…
Descriptors: Foreign Countries, Learning Analytics, Secondary Education, Stakeholders
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Khalid Oqaidi; Sarah Aouhassi; Khalifa Mansouri – International Association for Development of the Information Society, 2022
The dropout of students is one of the major obstacles that ruin the improvement of higher education quality. To facilitate the study of students' dropout in Moroccan universities, this paper aims to establish a clustering approach model based on machine learning algorithms to determine Moroccan universities categories. Our objective in this…
Descriptors: Models, Prediction, Dropouts, Learning Analytics
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Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
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Vigentini, Lorenzo; Swibel, Brad; Hasler, Garth – Journal of Learning Analytics, 2022
While Learning Analytics (LA) have gained momentum in higher education, there are still few examples of application in the school sector. Even fewer cases are reported of systematic, organizational adoption to drive the support of student learning trajectories that includes teachers, pastoral leaders, and academic managers. This paper presents one…
Descriptors: Learning Analytics, Educational Improvement, Secondary School Students, Learning Management Systems
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Saastamoinen, Kalle; Rissanen, Antti; Mutanen, Arto – International Baltic Symposium on Science and Technology Education, 2023
There were two projects at the National Defence University of Finland (NDU), which both ended by the end of 2022. One of them tried to find the answers to the main question: How artificial intelligence (AI) could be used to improve learning, teaching, and planning? The other tried to find the answer to the main question: What new skills do…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Teaching Methods, Learning Analytics
Bruce Wellman; Laura Lipton – Solution Tree, 2024
In the second edition of "Data-Driven Dialogue: A Facilitator's Guide to Collaborative Inquiry," authors Bruce Wellman and Laura Lipton provide strategies that transform school culture through data-driven inquiry. By applying a three-phase model and a host of process tools to facilitate collaborative data analysis, K-12 school and…
Descriptors: Learning Analytics, Guides, Facilitators (Individuals), Visual Aids
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Williams, Janet M.; Pulido, Laurie – American Association for Adult and Continuing Education, 2022
During the COVID-19 pandemic, an adult noncredit program in the California Community College system partnered with Ease Learning to help convert face-to-face courses to an online modality. Subsequent data revealed a misalignment in the courses' Student Learning Outcomes and Instructional Objectives which became a barrier to student success. Wile's…
Descriptors: Best Practices, Teaching Methods, Online Courses, Outcomes of Education
Kathleen Ryan Jackson; Megan Bookhout; Gina Lakes; Steve Case; Jeff Gau – State Implementation and Scaling-up of Evidence-based Practices Center, 2025
Leading by doing takes an unwavering and visible commitment to an intentional, continuous improvement process. Teams at every system level distribute leadership to support effective practice so outcomes improve. Using a practice-based approach to improving mathematics outcomes, the Kentucky Department of Education (KDE) facilitated a continuous…
Descriptors: Mathematics Education, Teaching Methods, Students with Disabilities, Thinking Skills
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Nakayama, Keita; Shimada, Atsushi; Minematsu, Tsubasa; Taniguchi, Yuta; Taniguchi, Rin-Ichiro – International Association for Development of the Information Society, 2019
Thanks to an increase in the amount of information on the Internet and the spread of ICT-supported educational environments, much attention has been paid to learning support based on "smart" recommendation technologies. In this study, we propose an education improvement model based on the recommender system using the human-in-the-loop…
Descriptors: Models, Information Dissemination, Internet, Educational Technology
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Godwin-Jones, Robert – Language Learning & Technology, 2021
Data collection and analysis is nothing new in computer-assisted language learning, but with the phenomenon of massive sets of human language collected into corpora, and especially integrated into systems driven by artificial intelligence, new opportunities have arisen for language teaching and learning. We are now seeing powerful artificial…
Descriptors: Data Collection, Academic Achievement, Learning Analytics, Computer Assisted Instruction
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Nasrollahian Mojarad, Sara; Cruz, Laura – To Improve the Academy, 2022
MegaSoTL projects are scholarship of teaching and learning (SoTL) projects that generate evidence of learning from multiple institutions. While being increasingly practiced, MegaSoTL projects and their potential contribution to improve higher education pedagogy remain understudied in higher education literature. In this article, we introduce…
Descriptors: Scholarship, Teaching Methods, Learning Processes, Higher Education
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Abe, Kousuke; Tanaka, Tetsuo; Matsumoto, Kazunori – International Association for Development of the Information Society, 2020
The authors are developing and using a fill-in workbook system that allows faculty members to ascertain the attitude of all students to classes including students who are not active, and to improve lectures through well-timed and appropriate actions. In this paper, in order to help teachers improve lessons and teaching materials, and to help…
Descriptors: Student Attitudes, Educational Improvement, Instructional Materials, Learning Management Systems
Solomon, Bonnie J.; Sun, Sarah; Temkin, Deborah – Child Trends, 2021
With the passage of the 2015 Every Student Succeeds Act (ESSA), states were required to add a fifth indicator on "School Quality or Student Success" (SQSS) to their school accountability systems. An analysis of submitted ESSA state plans found that 13 states included measures of school climate as their SQSS indicator or incorporated…
Descriptors: School Districts, Learning Analytics, Educational Environment, Educational Quality
Ian Rosenblum – Office of Elementary and Secondary Education, US Department of Education, 2021
The author writes this letter to provide an update on assessment, accountability, and reporting requirements for the 2020-2021 school year. President Biden's first priority is to safely re-open schools and get students back in classrooms, learning face-to-face from teachers with their fellow students. To be successful once schools have re-opened,…
Descriptors: Letters (Correspondence), Educational Improvement, Accountability, Learning Analytics
US Department of Education, 2020
The U.S. Department of Education's (Department) mission is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access. The Department pursues its mission by establishing policies and distributing corresponding funds, focusing national attention on key educational issues,…
Descriptors: Public Agencies, Institutional Mission, Academic Achievement, Educational Policy