Publication Date
In 2025 | 77 |
Since 2024 | 391 |
Since 2021 (last 5 years) | 767 |
Since 2016 (last 10 years) | 793 |
Since 2006 (last 20 years) | 796 |
Descriptor
Source
Author
van der Linden, Wim J. | 17 |
Kiers, Henk A. L. | 13 |
ten Berge, Jos M. F. | 10 |
Gongjun Xu | 9 |
Gerlach, Vernon S. | 8 |
Willett, Peter | 8 |
Chun Wang | 7 |
Stocking, Martha L. | 7 |
Charp, Sylvia | 6 |
Chen, Hsinchun | 6 |
Craven, Timothy C. | 6 |
More ▼ |
Publication Type
Education Level
Audience
Practitioners | 255 |
Teachers | 126 |
Researchers | 114 |
Policymakers | 6 |
Administrators | 5 |
Students | 4 |
Counselors | 1 |
Media Staff | 1 |
Support Staff | 1 |
Location
China | 17 |
Australia | 16 |
Netherlands | 14 |
Turkey | 13 |
USSR | 10 |
United States | 9 |
California | 8 |
United Kingdom (England) | 7 |
Brazil | 6 |
Europe | 6 |
Germany | 6 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Denisa Gándara; Hadis Anahideh; Matthew P. Ison; Lorenzo Picchiarini – AERA Open, 2024
Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…
Descriptors: Algorithms, Social Bias, Minority Groups, Equal Education
Yalin Gao; Shuang Bu – Education and Information Technologies, 2024
English has long been regarded as the universal language. Countries that were earlier reluctant to learn English have also changed their stand due to its global reach. The nonnative English speaker's proficiency largely depends on the College English Teaching (CET) and its evaluation methods. Traditional teaching evaluation models failed to…
Descriptors: College English, English Instruction, English Teachers, College Faculty
Mark Johnson; Rafiq Saleh – Interactive Learning Environments, 2024
Educational assessment is inherently uncertain, where physiological, psychological and social factors play an important role in establishing judgements which are assumed to be "absolute". AI and other algorithmic approaches to grading of student work strip-out uncertainty, leading to a lack of inspectability in machine judgement and…
Descriptors: Artificial Intelligence, Evaluation Methods, Technology Uses in Education, Man Machine Systems
Denisa Gándara; Hadis Anahideh; Matthew P. Ison; Lorenzo Picchiarini – Grantee Submission, 2024
Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…
Descriptors: Algorithms, Social Bias, Minority Groups, Equal Education
Lagrange, Jean-Baptiste; Laval, Dominique – Educational Studies in Mathematics, 2023
Programming-based activities are becoming more widespread in curricula. Our theoretical and empirical investigation seeks to identify appropriate ways to connect computer programming and algorithmics to mathematical learning. We take the intermediate value theorem as our starting point, as it is covered by the French school curriculum, and because…
Descriptors: Algorithms, Mathematics Education, Mathematical Concepts, Design
Karatas, Kasim; Arpaci, Ibrahim; Yildirim, Yusuf – Education and Urban Society, 2023
This study aimed to predict the culturally responsive teacher roles based on cultural intelligence and self-efficacy using machine learning classification algorithms. The research group consists of 415 teachers from different branches. The Bayes classifier (NaiveBayes), logistic-regression (SMO), lazy-classifier (KStar), meta-classifier…
Descriptors: Prediction, Culturally Relevant Education, Teacher Role, Cultural Awareness
Deepak, Gerard; Trivedi, Ishdutt – International Journal of Adult Education and Technology, 2023
Recommender systems have been actively used in many areas like e-commerce, movie and video suggestions, and have proven to be highly useful for its users. But the use of recommender systems in online learning platforms is often underrated and less likely used. But many of the times it lacks personalisation especially in collaborative approach…
Descriptors: Learning Strategies, Artificial Intelligence, Information Systems, Algorithms
Saini, Munish; Sengupta, Eshan; Singh, Madanjit; Singh, Harnoor; Singh, Jaswinder – Education and Information Technologies, 2023
Sustainable Development Goals (SDG) are at the forefront of government initiatives across the world. The SDGs are primarily concerned with promoting sustainable growth via ensuring wellbeing, economic growth, environmental legislation, and academic advancement. One of the most prominent goals of the SDG is to provide learners with high-quality…
Descriptors: Sustainable Development, Educational Quality, Algorithms, Foreign Countries
Carvalho, Floran; Henriet, Julien; Greffier, Francoise; Betbeder, Marie-Laure; Leon-Henri, Dana – Journal of Education and e-Learning Research, 2023
This research is part of the Artificial Intelligence Virtual Trainer (AI-VT) project which aims to create a system that can identify the user's skills from a text by means of machine learning. AI-VT is a case-based reasoning learning support system can generate customized exercise lists that are specially adapted to user needs. To attain this…
Descriptors: Learning Processes, Algorithms, Artificial Intelligence, Programming Languages
Ramírez-Sánchez, Camilo Andrés; Romo-Vázquez, Avenilde; Romo-Vázquez, Rebeca; Velásquez-Rojas, Diana – Educational Studies in Mathematics, 2023
The training of non-specialists, particularly engineers, in mathematics requires designing specific didactic proposals that make the importance of mathematics evident. One approach to creating such proposals consists in analyzing the mathematics used in authentic contexts of engineering research and then effectuating a didactic transposition to…
Descriptors: Undergraduate Students, Mathematics Instruction, Engineering, Teaching Methods
Norhaslinda Abdul Samad; Kamisah Osman; Nazrul Anuar Nayan – International Journal of Educational Methodology, 2023
This study investigated the influence of CThink4CS2 Module on computational thinking (CT) skills of form four chemistry students. The CThink4CS[superscript]2 Module integrated CT with the Engineering Design Process (EDP) in chemistry class. This study utilized quantitative research methods and quasi-experimental design. Quantitative data were…
Descriptors: Computation, Thinking Skills, Engineering, Design
Lian June Arzbecker – ProQuest LLC, 2023
This dissertation explores the relationship between quantitative phonetic measurements and listener identification of accents of English, focusing on phonetic distance and its perceptual correlates across various English accent varieties. The Levenshtein distance (LD) measure, which quantifies string similarity by calculating the minimum cost of…
Descriptors: Dialects, Pronunciation, Phonetics, Auditory Perception
Emanuele Bardelli; Matthew Ronfeldt; Matthew Truwit – Society for Research on Educational Effectiveness, 2023
Background: Recent field experiments confirm that learning to teach under a more instructionally effective mentor causes teacher candidates to feel more prepared (Ronfeldt et al., 2020; Ronfeldt, Goldhaber, et al., 2018) and demonstrate more effective teaching (Goldhaber et al., 2022). One of these experiments--designed under a research-practice…
Descriptors: Simulation, Equal Education, Teacher Education, Intervention
Wei Li; Walter Leite; Jia Quan – Society for Research on Educational Effectiveness, 2023
Background: Multilevel randomized controlled trials (MRCTs) have been widely used to evaluate the causal effects of educational interventions. Traditionally, educational researchers and policymakers focused on the average treatment effects (ATE) of the intervention. Recently there has been an increasing interest in evaluating the heterogeneity of…
Descriptors: Artificial Intelligence, Identification, Hierarchical Linear Modeling, Randomized Controlled Trials
Kye, Anna – ProQuest LLC, 2023
Every year, the national high school graduation rate is declining and impacting the number of students applying to colleges. Moreover, the majority of students are applying to more than one college. This makes a lot of colleges to be highly competitive in student recruitment for enrollment and thus, the necessity for institutions to anticipate…
Descriptors: Comparative Analysis, Classification, College Enrollment, Prediction