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Rozita Tsoni; Georgia Garani; Vassilios S. Verykios – Interactive Learning Environments, 2024
New challenges in education demand effective solutions. Although Learning Analytics (LA), Educational Data Mining (EDM) and the use of Big Data are often presented as a panacea, there is a lot of ground to be covered in order for the EDM to answer the real questions of educators. An important step toward this goal is to implement holistic…
Descriptors: Data Use, Distance Education, Learning Analytics, Educational Research
Yuchun Zhong; Jie Lian; Hao Huang; Hao Deng – Education and Information Technologies, 2025
This study investigated the affordances, constraints, and implications of ChatGPT in education using the affordance theory and social-ecological systems theory. We employed a data mining approach that blends social media analytics including sentiment analysis and topic modelling and qualitative analysis to extract viewpoints from a collection of…
Descriptors: Affordances, Barriers, Technology Uses in Education, Artificial Intelligence
Jing Liu; Qing Ma – Educational Technology & Society, 2025
This meta-analysis evaluated the effectiveness of data-driven learning (DDL) among low-proficiency L2 English learners, addressing the mixed results found in previous meta-analyses. The study incorporated 38 studies involving 2085 participants, yielding 37 effect sizes from control-experimental (C/E) studies and 42 from pre- and post-test (P/P)…
Descriptors: Computational Linguistics, Second Language Instruction, Second Language Learning, Language Proficiency
So, Joseph Chi-Ho; Ho, Yik Him; Wong, Adam Ka-Lok; Chan, Henry C. B.; Tsang, Kia Ho-Yin; Chan, Ada Pui-Ling; Wong, Simon Chi-Wang – IEEE Transactions on Learning Technologies, 2023
Generic competence (GC) development is an integral part of higher education to provide holistic education and enhance student career development. It also plays a critical role in complementing the curriculum. Many tertiary institutions provide various GC development activities (GCDA). Moreover, institutions strongly need to further understand…
Descriptors: Predictor Variables, Higher Education, Online Courses, Correlation
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
Xu, Jiajun; Dadey, Nathan – Applied Measurement in Education, 2022
This paper explores how student performance across the full set of multiple modular assessments of individual standards, which we refer to as mini-assessments, from a large scale, operational program of interim assessment can be summarized using Bayesian networks. We follow a completely data-driven approach in which no constraints are imposed to…
Descriptors: Bayesian Statistics, Learning Analytics, Scores, Academic Achievement
Ryan, Mary; Bourke, Terri; Lane, Rod; O'Brien, Peter; L'Estrange, Lyra – Teaching Education, 2022
The recasting of accountability in teaching and teacher education as a problem of impact across many countries has seen a proliferation of policies and strategies that datify the work of students and teachers. The enactment of such policies can be interrogated from the perspectives of multiple policy actors to understand the effects of the 'impact…
Descriptors: Discourse Analysis, Foreign Countries, Accountability, Teaching Methods
Gonzalez, Naihobe; Alberty, Elizabeth; Brockman, Stacey; Nguyen, Tutrang; Johnson, Matthew; Bond, Sheldon; O'Connell, Krista; Corriveau, Adrianna; Shoji, Megan; Streeter, Megan; Engle, Jennifer; Goodly, Chelsea; Neely, Adrian N.; White, Mary Aleta; Anderson, Mindelyn; Matthews, Channing; Mason, Leana; Means, Sheryl Felecia – Mathematica, 2022
The Education-to-Workforce Indicator Framework (E-W Framework), commissioned by the Bill & Melinda Gates Foundation and developed in partnership with leading experts representing more than 15 national and community organizations, is designed to encourage greater cross-sector collaboration and alignment across local, state, and national data…
Descriptors: Education Work Relationship, Evidence Based Practice, Student Characteristics, Partnerships in Education
Meredith Bouvier – Global Partnership for Education, 2024
The Global Partnership for Education (GPE) has made a commitment to support the multistakeholder pledge made at the second Global Refugee Forum to ensure every child living as a refugee realizes their right to a quality education and is included in national education systems that are adequately supported to cater to the needs of every child, both…
Descriptors: Refugees, Inclusion, Partnerships in Education, Access to Education

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