Publication Date
| In 2026 | 28 |
| Since 2025 | 3056 |
| Since 2022 (last 5 years) | 7924 |
| Since 2017 (last 10 years) | 11790 |
| Since 2007 (last 20 years) | 17120 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 643 |
| Practitioners | 607 |
| Teachers | 557 |
| Administrators | 155 |
| Policymakers | 128 |
| Students | 103 |
| Parents | 64 |
| Counselors | 36 |
| Media Staff | 16 |
| Support Staff | 13 |
| Community | 9 |
| More ▼ | |
Location
| China | 629 |
| Turkey | 491 |
| Canada | 410 |
| Australia | 392 |
| United Kingdom | 355 |
| United States | 342 |
| Germany | 277 |
| India | 252 |
| Spain | 252 |
| Netherlands | 240 |
| California | 207 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 16 |
| Meets WWC Standards with or without Reservations | 20 |
| Does not meet standards | 16 |
Fesler, Lily; Dee, Thomas; Baker, Rachel; Evans, Brent – Stanford Center for Education Policy Analysis, 2019
Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this paper, we review the recent automated text methods relevant to educational…
Descriptors: Educational Research, Data Analysis, Automation, Methods
Kayleigh K. Hyde; Marlena N. Novack; Nicholas LaHaye; Chelsea Parlett-Pelleriti; Raymond Anden; Dennis R. Dixon; Erik Linstead – Review Journal of Autism and Developmental Disorders, 2019
Autism spectrum disorder (ASD) research has yet to leverage "big data" on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may soon make this a reality. Indeed, there has been a notable increase in research literature evaluating the effectiveness of machine learning for diagnosing…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Clinical Diagnosis, Intervention
Järvelä, Sanna; Gaševic, Dragan; Seppänen, Tapio; Pechenizkiy, Mykola; Kirschner, Paul A. – British Journal of Educational Technology, 2020
Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…
Descriptors: Artificial Intelligence, Man Machine Systems, Affective Behavior, Cognitive Processes
Yildiz, Muhammed Berke; Börekci, Caner – Journal of Educational Technology and Online Learning, 2020
Education systems produce a large number of valuable data for all stakeholders. The processing of these educational data and making studies on the future of education based on the data reveal highly meaningful results. In this study, an insight was tried to be developed on the educational data collected from ninth-grade students by using data…
Descriptors: Grade Prediction, Academic Achievement, Artificial Intelligence, Grade 9
Jack, D. B.; Oguntayo, R. – Journal on Educational Psychology, 2020
Evidence from literature showed that lack of emotional and social intelligence is one of the reasons for disruptive behaviours among adolescents. This study investigated the effect of training on the emotional and social intelligence of secondary school students in Jos, Nigeria. The study involved 26 secondary school students comprising of 10…
Descriptors: Social Development, Emotional Development, Emotional Intelligence, Secondary School Students
Charitopoulos, Angelos; Rangoussi, Maria; Koulouriotis, Dimitrios – International Journal of Artificial Intelligence in Education, 2020
The aim of this paper is to survey recent research publications that use Soft Computing methods to answer education-related problems based on the analysis of educational data 'mined' mainly from interactive/e-learning systems. Such systems are known to generate and store large volumes of data that can be exploited to assess the learner, the system…
Descriptors: Data Collection, Learning Analytics, Educational Research, Artificial Intelligence
Kirby, Philip – Oxford Review of Education, 2020
The 'dyslexia debate' is resilient. In the media, a key component of the debate is the notion that dyslexia does not exist, popularised by a series of vociferous commentators. For them, dyslexia is an invention of overly-concerned parents, supported by a clique of private educational psychologists willing to offer a diagnosis -- for a fee -- even…
Descriptors: Dyslexia, Educational History, Educational Change, Learning Problems
McClelland, James L. – First Language, 2020
Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…
Descriptors: Models, Language Processing, Artificial Intelligence, Language Usage
Azid, Nurulwahida; Md-Ali, Ruzlan – South African Journal of Education, 2020
The study reported on here aimed to examine the effectiveness of the successful intelligence interactive module (SIIM) that employs thinking skills using the successful intelligence theory. This was an empirical study that used mixed method analysis. The rationale for the development of this interactive module was to increase the analytical,…
Descriptors: Foreign Countries, Undergraduate Students, Thinking Skills, Creative Thinking
Maharani, Rizqona; Marsigit, Marsigit; Wijaya, Ariyadi – Journal of Educational Research, 2020
This study examined the effect of collaborative learning with a scientific approach (SA) on the learning achievement in mathematics viewed from the students' multiple intelligences. This study compared two types of collaborative learning models, Three Steps Interview (TSI), and Think Pair Share (TPS). The participants of this study were grade 8…
Descriptors: Cooperative Learning, Multiple Intelligences, Mathematics Achievement, Teaching Methods
Bak, Olga; Lesniak, Marcin Maciej – Educational Psychology, 2020
This study investigated the effectiveness of process-related praise, applied after a series of failures, as compared to trait-related praise and no feedback. Reaction to praise following social-skills tasks was compared to that following intellectual-skills tasks. Affect and self-esteem in the domains of intelligence and social sensitivity were…
Descriptors: Positive Reinforcement, Feedback (Response), Failure, Interpersonal Competence
Sheffler, Pamela C.; Cheung, Cecilia S. – British Journal of Educational Psychology, 2020
Background: Research indicates that implicit theories of intelligence, specifically growth mindset, are conducive to students' academic achievement and engagement. While much research has focused on the role of teachers and parents, it is unclear how implicit theories of intelligence operate in the peer context. Aims: This study examined the…
Descriptors: Peer Relationship, World Views, Role, Learning Processes
Ugwuanyi, Christian S.; Okeke, Chinedu I. O.; Asomugha, Chinyere G. – Cypriot Journal of Educational Sciences, 2020
In spite of the place of mathematics in the Nigerian education system, the performance of students in both external and internal examinations is on the downward trend. Research on factors affecting students' achievement in mathematics has often neglected the impact of psychological variables, such as emotional intelligence, self-esteem, and…
Descriptors: Mathematics Achievement, Emotional Intelligence, Self Esteem, Self Efficacy
Karaoglu, Baris; Yalcin, Ilimdar – Cypriot Journal of Educational Sciences, 2020
The present study aimed to examine the effect of mindful attention awareness on ruminative thought styles levels of physical education and sports teacher candidates. 183 students studying in the Department of Physical Education and Sports Teaching at Bingol University voluntarily participated in the study. Mindful attention awareness and…
Descriptors: Metacognition, Attention, Psychological Patterns, Physical Education
Lippert, Anne; Shubeck, Keith; Morgan, Brent; Hampton, Andrew; Graesser, Arthur – Technology, Knowledge and Learning, 2020
This article describes designs that use multiple conversational agents within the framework of intelligent tutoring systems. Agents in this case are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with them in natural language. The earliest conversational intelligent…
Descriptors: Intelligent Tutoring Systems, Man Machine Systems, Natural Language Processing, Educational Technology

Peer reviewed
Direct link
