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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
Robert C. Lorenz; Mirjam Jenny; Anja Jacobs; Katja Matthias – Research Synthesis Methods, 2024
Conducting high-quality overviews of reviews (OoR) is time-consuming. Because the quality of systematic reviews (SRs) varies, it is necessary to critically appraise SRs when conducting an OoR. A well-established appraisal tool is A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2, which takes about 15-32 min per application. To save time,…
Descriptors: Decision Making, Time Management, Evaluation Methods, Quality Assurance
Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
Marcos Roque da Rosa; Clodis Boscarioli; Kátya Regina de Freitas Zara – International Journal of Sustainability in Higher Education, 2024
Purpose: This study aims to identify how literature has addressed sustainability reporting in universities over time and determine traceable patterns and trends. Design/methodology/approach: A comprehensive systematic review protocol of the Emerald Insight, Web of Science, Science Direct, Scopus, Springer Link and Wiley Online Library databases…
Descriptors: Sustainability, Universities, Institutional Evaluation, Reports
Bin Tan; Hao-Yue Jin; Maria Cutumisu – Computer Science Education, 2024
Background and Context: Computational thinking (CT) has been increasingly added to K-12 curricula, prompting teachers to grade more and more CT artifacts. This has led to a rise in automated CT assessment tools. Objective: This study examines the scope and characteristics of publications that use machine learning (ML) approaches to assess…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Student Evaluation
Lin Lin; Danhua Zhou; Jingying Wang; Yu Wang – SAGE Open, 2024
The rapid development of artificial intelligence has driven the transformation of educational evaluation into big data-driven. This study used a systematic literature review method to analyzed 44 empirical research articles on the evaluation of big data education. Firstly, it has shown an increasing trend year by year, and is mainly published in…
Descriptors: Data Analysis, Educational Research, Geographic Regions, Periodicals
Gutiérrez-Mijares, María Eugenia; Josa, Irene; Casanovas-Rubio, Maria del Mar; Aguado, Antonio – Studies in Higher Education, 2023
Sustainability has increasingly become key in universities, as the objectives of sustainable development are essential to establish policies, guidelines and indicators that guide institutions to be more sustainable. This recognition has led many authors to develop methods to assess universities based on their performance in terms of sustainable…
Descriptors: Evaluation Methods, Sustainability, Higher Education, Educational Indicators
Garcia, Léo Manoel Lopes da Silva; Lara, Daiany Francisca; Gomes, Raquel Salcedo; Cazella, Silvio Cézar – Turkish Online Journal of Educational Technology - TOJET, 2022
In educational data mining (EDM), preprocessing is an arduous and complex task and must promote an appropriate treatment of data to solve each specific educational problem. In the same way, the parameters used in the evaluation of postprocessing results are decisive in the interpretation of the results and decision-making in the future. These two…
Descriptors: Educational Research, Information Retrieval, Data Processing, Mathematics
Collier-Meek, Melissa A.; Fallon, Lindsay M.; Gould, Kaitlin – School Psychology Quarterly, 2018
Collecting treatment integrity data is critical for (a) strengthening internal validity within a research study, (b) determining the impact of an intervention on student outcomes, and (c) assessing the need for implementation supports. Although researchers have noted the increased inclusion of treatment integrity data in published articles, there…
Descriptors: Integrity, Data, Feedback (Response), Evaluation Methods
Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation
Clare Baek; Tenzin Doleck – Knowledge Management & E-Learning, 2024
We examined how Learning Analytics literature represents participants from diverse societies by comparing the studies published with samples from WEIRD (Western, Industrialized, Rich, Democratic) nations versus non-WEIRD nations. By analyzing the Learning Analytics studies published during 2015-2019 (N = 360), we found that most of the studies…
Descriptors: Learning Analytics, Educational Research, Sample Size, Literature Reviews
Cui, Ying; Chen, Fu; Lutsyk, Alina; Leighton, Jacqueline P.; Cutumisu, Maria – Assessment in Education: Principles, Policy & Practice, 2023
With the exponential increase in the volume of data available in the 21st century, data literacy skills have become vitally important in work places and everyday life. This paper provides a systematic review of available data literacy assessments targeted at different audiences and educational levels. The results can help researchers and…
Descriptors: Data, Information Literacy, 21st Century Skills, Competence
da Silva, Lidia M.; Dias, Lucas P. S.; Barbosa, Jorge L. V.; Rigo, Sandro J.; dos Anjos, Julio C. S.; Geyer, Claudio F. R.; Leithardt, Valderi R. Q. – Informatics in Education, 2022
Advances in information and communication technologies have contributed to the increasing use of virtual learning environments as support tools in teaching and learning processes. Virtual platforms generate a large volume of educational data, and the analysis of this data allows useful information discoveries to improve learning and assist…
Descriptors: Learning Analytics, Cooperative Learning, Distance Education, Electronic Learning
Lee, James D.; Yoon, Christy D.; Meadan, Hedda – Perspectives of the ASHA Special Interest Groups, 2022
Purpose: The purpose of this review article was to (a) scope the literature related to coaching caregivers of children with autism to provide an overview of current practices for assessment and intervention conducted via telepractice in collaboration with caregivers and (b) examine commonly reported challenges related to telepractice and potential…
Descriptors: Coaching (Performance), Caregivers, Autism, Pervasive Developmental Disorders
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