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Ali Gohar Qazi; Norbert Pachler – Professional Development in Education, 2025
This paper proposes a conceptual framework enabling the development and adoption of descriptive, diagnostic, predictive and recommendatory data analytics in teacher professional learning by harnessing some of the affordances of digital technologies to convert data into actionable insights. The paper argues for a technology-enhanced approach that…
Descriptors: Faculty Development, Data Analysis, Data Use, Models
Natalija Bošnjakovic; Ivana Ðurdevic Babic – Technology, Knowledge and Learning, 2025
To improve and facilitate the acquisition of learning outcomes, teachers often use innovative teaching methods such as gamification to keep students' attention and increase their motivation. In recent years, the use of educational data mining (EDM) methods to explore academic topics has increased. With the expansion of EDM, a gap in the literature…
Descriptors: Data Collection, Gamification, Teaching Methods, Attention
Aline Godfroid; Brittany Finch; Joanne Koh – Language Learning, 2025
Eye tracking has taken hold in second language acquisition (SLA) and bilingualism as a valuable technique for researching cognitive processes, yet a comprehensive picture of reporting practices is still lacking. Our systematic review addressed this gap. We synthesized 145 empirical eye-tracking studies, coding for 58 reporting features and…
Descriptors: Eye Movements, Second Language Learning, Bilingualism, Cognitive Processes
Jihyun Rho; Martina A. Rau – Educational Psychology Review, 2025
Misleading data visualizations have become a significant issue in our information-rich world due to their negative impact on informed decision-making. Consequently, it is crucial to understand the factors that make viewers vulnerable to misleading data visualizations and to explore effective instructional supports that can help viewers combat the…
Descriptors: Visual Aids, Decision Making, Data Use, Deception
Jihua Dong; Yanan Zhao; Louisa Buckingham – ReCALL, 2023
This study employs a bibliometric approach to analyse common research themes, high-impact publications and research venues, identify the most recent transformative research, and map the developmental stages of data-driven learning (DDL) since its genesis. A dataset of 126 articles and 3,297 cited references (1994-2021) retrieved from the Web of…
Descriptors: Data Use, Learning, Research Methodology, Educational Research
Johannes Klassen – Journal of Vocational Education and Training, 2025
Although international organisations (IOs) are recognised as important actors in education, their involvement in vocational education and training (VET) remains underexamined. This article reviews the current state of research on IOs in VET, focusing on the ILO, OECD, UNESCO, and the World Bank, through an integrative literature review of 174…
Descriptors: International Organizations, Career and Technical Education, Role, Data Use
Bernadine Sengalrayan; Blane Harvey – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: This study examines the engagement of knowledge users in knowledge mobilisation (KMb) research on Canadian K-12 teaching and education policy. Research on and around KMb has grown in the decade since this field was first assessed comprehensively. Thus, it is timely to re-evaluate if current knowledge producer-user relationships in KMb…
Descriptors: Foreign Countries, Elementary Secondary Education, Educational Research, Educational Researchers
Atezaz Ahmad; Jan Schneider; Dai Griffiths; Daniel Biedermann; Daniel Schiffner; Wolfgang Greller; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: During the past decade, the increasingly heterogeneous field of learning analytics has been critiqued for an over-emphasis on data-driven approaches at the expense of paying attention to learning designs. Method and objective: In response to this critique, we investigated the role of learning design in learning analytics through a…
Descriptors: Instructional Design, Learning Analytics, Data Use, Literature Reviews
Maria Llambrich; Pau Satorra; Eudald Correig; Josep Gumà; Jesús Brezmes; Cristian Tebé; Raquel Cumeras – Research Synthesis Methods, 2024
Meta-analysis is a useful tool in clinical research, as it combines the results of multiple clinical studies to improve precision when answering a particular scientific question. While there has been a substantial increase in publications using meta-analysis in various clinical research topics, the number of published meta-analyses in metabolomics…
Descriptors: Meta Analysis, Programming Languages, Information Technology, Computer Oriented Programs
Katherine L. Robershaw; Min Xiao; Baron G. Wolf – Research Management Review, 2024
As data-informed decision-making continues to evolve across multiple disciplines in higher education institutions, and as the role of research administration continues to expand from proposal submissions, compliance, and managing research and development expenditures to a profession with an active partnership with investigators to support…
Descriptors: Literature Reviews, Data Analysis, Research Administration, Institutional Research
Mehmet Emrah Kuru; Mustafa Yunus Eryaman – Educational Policy Analysis and Strategic Research, 2025
This systematic review examines the extent to which educational policy and practice in Turkey are informed by research evidence. Drawing on national and international literature, the review explores the theoretical foundations of evidence-based policymaking, the current status of research-informed policy in Turkey, and the challenges faced in…
Descriptors: Educational Policy, Educational Practices, Evidence Based Practice, Foreign Countries
Eva Heinrich – Open Praxis, 2025
Online proctoring systems are employed to monitor students during exams, safeguarding assessment integrity when in-person observation is not feasible. The systems leverage advanced technologies, including artificial intelligence (AI) and biometrics, to authenticate students and identify potential exam rule violations. However, concerns about data…
Descriptors: Supervision, Privacy, Information Security, Artificial Intelligence
Anja Friedrich; Saskia Schreiter; Markus Vogel; Sebastian Becker-Genschow; Roland Brünken; Jochen Kuhn; Jessica Lehmann; Sarah Malone – International Journal of STEM Education, 2024
The pervasive digitization of society underscores the crucial role of data and its significant impact on decision-making across various domains. As a result, it is essential for individuals to acquire competencies in handling data. This need is particularly pertinent in K-12 education, where early engagement with data and statistics can lay a…
Descriptors: Literature Reviews, Elementary Secondary Education, STEM Education, Meta Analysis
Michael Geiss; Johannes Westberg – History of Education Review, 2024
Purpose: This article argues that the potential of the vast amount of research, published each year in the history of education, remains untapped. Given the rapidly growing number of academic publications in the field, there is a need for research that is based on articles, chapters and monographs already published. While analyses of existing…
Descriptors: Literature Reviews, Meta Analysis, Educational History, Educational Research
Goffin, Evelyn; Janssen, Rianne; Vanhoof, Jan – Review of Education, 2022
Formal achievement data such as test scores and school performance feedback from standardised assessments can be a powerful tool for data-based decision making and school improvement. However, teachers' and school leaders' usage of these data is not necessarily straightforward or predictable. In order to illuminate how educational professionals…
Descriptors: Teacher Attitudes, Administrator Attitudes, Academic Achievement, Data Analysis

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