Publication Date
| In 2026 | 0 |
| Since 2025 | 794 |
| Since 2022 (last 5 years) | 5385 |
| Since 2017 (last 10 years) | 10921 |
| Since 2007 (last 20 years) | 17725 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 1161 |
| Teachers | 1048 |
| Researchers | 514 |
| Administrators | 146 |
| Students | 87 |
| Policymakers | 66 |
| Parents | 65 |
| Counselors | 15 |
| Media Staff | 9 |
| Community | 7 |
| Support Staff | 7 |
| More ▼ | |
Location
| Australia | 723 |
| United Kingdom | 543 |
| China | 517 |
| Turkey | 456 |
| Canada | 434 |
| Indonesia | 419 |
| Sweden | 287 |
| Germany | 280 |
| Spain | 276 |
| United Kingdom (England) | 271 |
| United States | 257 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 8 |
| Meets WWC Standards with or without Reservations | 15 |
| Does not meet standards | 7 |
Juwintar Febriani Arwan; Mohammad Ali – Anatolian Journal of Education, 2025
This study investigated the integration of ocean literacy in education. It explored the relationship between teachers' understanding of ocean literacy, participation in related activities, and inclination towards integrated learning. The research included two independent variables: teachers' understanding of ocean literacy and their involvement in…
Descriptors: Junior High School Teachers, Foreign Countries, Literacy, Oceanography
Charaf Tilioui; El Mehdi Bellfkih; Imrane Chemseddine Idrissi; Khadija El Kababi; Mohamed Radid; Ghizlane Chemsi – Educational Process: International Journal, 2025
Background/purpose: Mathematics education develops critical thinking and problem-solving skills, yet middle school students often face challenges, including didactical, epistemological, and ontogenic obstacles, that influence their academic orientation. This study investigates how Self-Organizing Maps (SOMs) can address these challenges by…
Descriptors: Mathematics Education, Orientation, Orientation Materials, Middle School Students
Yonatan Sharabi; Guy Roth – British Journal of Educational Psychology, 2025
Background: Research on learners' reactions to failure finds negative emotions may present an obstacle for learning; a painful experience of failure may result in disengagement and avoidance. However, research on styles of emotion regulation and learning from failure is scarce. Self-determination theory's (SDT) conception of adaptive and…
Descriptors: Student Reaction, Emotional Response, Academic Failure, Learning Processes
Justin Edwards; Andy Nguyen; Joni Lämsä; Marta Sobocinski; Ridwan Whitehead; Belle Dang; Anni-Sofia Roberts; Sanna Järvelä – British Journal of Educational Technology, 2025
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Metacognition
Shiva Rani – Journal of Applied Research in Higher Education, 2025
Purpose: Knowledge management (KM) is a process that depends on changes and transfers to different levels of understanding among individuals and acts as a powerful tool to strengthen the organization to remove the barriers, affect the decision-making process and enable individuals and organizations to achieve sustainable advantages. This study…
Descriptors: Colleges, Knowledge Management, Barriers, Decision Making
Limeng Wu; Tong Li – SAGE Open, 2025
While the significant impact of faculty feedback on student learning is well recognized, the intricate link between the quality of faculty feedback and students' deep approaches to learning, especially in the context of general education, has yet to be clarified. Employing a mixed-methods approach, this study examined the relationship between…
Descriptors: College Faculty, Feedback (Response), Educational Quality, General Education
Maurizio Costabile; Connie Caruso; Chris Della Vedova; Sheree Bailey; Layla Mahdi – Advances in Physiology Education, 2025
Science, technology, engineering, and mathematics (STEM) students are typically taught content delivered didactically and closely aligned with the laboratory demonstration of concepts, which facilitates the development of experimental skills. Because of the volume of content delivered across multiple courses, student cognitive abilities can be…
Descriptors: Computer Simulation, Computer Software, Learning Processes, Laboratory Training
Robin Samuelsson – British Journal of Educational Technology, 2025
Programming is becoming a key subject in early education globally, with surging problems of how computer science can become a subject for children of all ages and backgrounds. Problems of implementing new technologies in the old curricula have long been noted, and lately, concern over computer science education goals is often too narrow and…
Descriptors: Computer Science Education, Play, Early Childhood Education, Technology Integration
Ronnel B. King; Faming Wang – British Journal of Educational Psychology, 2025
Background: Past studies on mindsets have mostly examined them as an individual difference variable. However, the mindset-by-context framework argues that mindsets do not occur within a vacuum, and their successful implementation depends on the social context. One of the most important social contexts for students is the socioeconomic conditions…
Descriptors: Socioeconomic Status, Advantaged, Student Development, Student Attitudes
Liangliang Xia; Kexin Shen; Herui Sun; Xin An; Yan Dong – Education and Information Technologies, 2025
While generative artificial intelligence (AI) empowers students in their learning, it may also have the potential to undermine their learning agency. Understanding student learning agency in the generative AI-supported contexts (SLA-GAI) has become critical for educators. However, student learning agency is a domain-specific construct, current…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Construction, Test Validity
Guoqian Luo; Hengnian Gu; Xiaoxiao Dong; Dongdai Zhou – Education and Information Technologies, 2025
In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…
Descriptors: Electronic Learning, Individualized Instruction, Sequential Learning, Learning Processes
Yuchen Pan; Wenbin Xu; Yunxian Chen; Nana Huang; Yang Wang – Psychology in the Schools, 2025
At the beginning of the 21st century, "number sense" was listed as one of the core words in the mathematics curriculum of compulsory education in China, and it has now become one of the core competencies of primary school mathematics. It is necessary to determine the development of number sense of first-grade primary school students (6-7…
Descriptors: Grade 1, Numeracy, Elementary School Students, Mathematics Curriculum
Ying-Lien Lin; Wei-Tsong Wang; Zhi-Lun Lai – Education and Information Technologies, 2025
Although some studies have examined the effects of self-regulated learning (SRL) strategies on learning effectiveness, inconsistent results have been reported. Additionally, studies that adopt the perspective of SRL to evaluate the effect of metacognitive skills on students' actual learning effectiveness in digital game-based learning (DGBL)…
Descriptors: Prior Learning, Metacognition, Game Based Learning, Learning Strategies
Stephen Ferrigno; Samuel J. Cheyette; Susan Carey – Cognitive Science, 2025
Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains--natural language, music, mathematics, and logic, to name a few. However, the representational and computational machinery used to learn abstract grammars and process complex sequences is unknown. Here, we used an artificial…
Descriptors: Sequential Learning, Cognitive Processes, Knowledge Representation, Training
Sonja Dieterich; Stefan Rumann; Marc Rodemer – Educational Psychology Review, 2025
Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…
Descriptors: Learning Processes, Teaching Methods, Instructional Effectiveness, Models

Peer reviewed
Direct link
