Publication Date
| In 2026 | 0 |
| Since 2025 | 5 |
| Since 2022 (last 5 years) | 32 |
| Since 2017 (last 10 years) | 76 |
| Since 2007 (last 20 years) | 277 |
Descriptor
Source
Author
| Lewandowsky, Stephan | 3 |
| Zirkel, Perry A. | 3 |
| Avery, Gayle C. | 2 |
| Bergsteiner, Harald | 2 |
| Bott, Lewis | 2 |
| Creagh, Sue | 2 |
| Dietel, Ronald | 2 |
| Fuchs, Douglas | 2 |
| Herman, Joan L. | 2 |
| Hoffman, Aaron B. | 2 |
| Hymel, Glenn M. | 2 |
| More ▼ | |
Publication Type
Education Level
Location
| Australia | 12 |
| United Kingdom | 12 |
| China | 9 |
| California | 7 |
| New Zealand | 7 |
| Canada | 6 |
| United States | 6 |
| Spain | 5 |
| Ireland | 4 |
| Norway | 4 |
| South Korea | 4 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sandri, Orana – Teaching in Higher Education, 2022
Pedagogy is a term used broadly to refer to both how and why an educator influences learning. Given the importance of quality transformative learning experiences noted in the sustainability education literature, the role of an educator's values, assumptions and philosophy underpinning their educational capability for the provision of learning…
Descriptors: Teaching Methods, Learning Processes, Transformative Learning, Sustainability
Kenan Dikilitas; Tim Marshall; Masoumeh Shahverdi – Palgrave Macmillan, 2025
This open access book maps the role of challenge-based learning (CBL) in the transformation of higher education pedagogy, towards being sector-informed as well as student-driven. CBL democratises the process of learning by repositioning students as drivers, who are empowered to make decisions on course content, assess needs in the real world and…
Descriptors: Teaching Methods, Student Centered Learning, Problem Based Learning, Program Implementation
Horvath, Kenneth; Steinberg, Mario – Learning, Media and Technology, 2023
Allowing learners to move across learning contexts in novel ways, digital tools play an increasingly central role for the formation of learning trajectories and identities. They thus presumably also affect dynamics of social sorting in education. Against this background, this article introduces a conceptual framework for unravelling dynamics of…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Learning, Learning Trajectories
Archibald, John – Second Language Research, 2023
In this research note I want to address some misunderstandings about the construct of redeployment and suggest that we need to fit these behavioural data from Yang, Chen and Xiao (YCX) into a broader context. I will suggest that these authors' work is not just about the failure of three models to predict equivalence classification. Equivalence…
Descriptors: Phonology, Contrastive Linguistics, Mandarin Chinese, Russian
Carlin, Andrew P.; Moutinho, Ricardo – Educational Philosophy and Theory, 2022
This article takes a conceptual approach to an issue of pedagogical relevance--the presence of "teaching and learning moments" within educational environments. We suggest sources of philosophical confusions that design patterns for the classification and creation of typologies of classroom events. We identify three foundational…
Descriptors: Teaching Methods, Learning Processes, Educational Philosophy, Educational Environment
Jan Kalenda; Ellen Boeren – International Journal of Lifelong Education, 2025
International organisations have measured adult learning participation since the 1990s, using surveys like the Adult Education Survey (AES) and the Programme for the International Assessment of Adult Competencies (PIAAC). These surveys employ a 'triadic' classification of learning activities -- formal (FAE), non-formal (NFE) and informal learning…
Descriptors: Classification, Adult Education, Adult Students, Participation
Antti Moilanen – Educational Theory, 2025
In this article Antti Moilanen assesses criticisms of Wolfgang Klafki's model of exemplary teaching made by Meinert Meyer and Hilbert Meyer and by Chi-Hua Chu. "Exemplary teaching" is a style of discovery-based teaching in which students study concrete examples of general principles in such a way that they acquire transferable knowledge…
Descriptors: Models, Educational Theories, Educational Philosophy, Criticism
Evnitskaya, Natalia; Dalton-Puffer, Christiane – International Journal of Bilingual Education and Bilingualism, 2023
Embedded in a Systemic Functional understanding of education as an initiation into knowledge structures and specific activities, both of which are fundamentally mediated by language, this paper addresses one of the critical concerns around CLIL: a possible mismatch between students' cognitive level and their L2 proficiency. The focus is on acts of…
Descriptors: Content and Language Integrated Learning, Cognitive Processes, Linguistics, Second Language Learning
Pawlak, Miroslaw – Language Teaching Research, 2021
Major advances have been made in research on language learning strategies (LLS) since it was triggered by good language learner studies (e.g. Rubin, 1975). Numerous accounts of strategy use have been compiled, key classifications have been proposed, some progress has been made towards furthering our understanding of the complex relationship…
Descriptors: Learning Strategies, Second Language Learning, Second Language Instruction, Classification
James Russo; Toby Russo – Mathematics Teacher Education and Development, 2025
Mathematical games are widely used in primary school classrooms, yet the activities that are labelled as "games" vary considerably in their structure, cognitive demands, and potential to support student reasoning. This conceptual paper offers a typology that distinguishes between pseudo-games, superficial games, gamification, and…
Descriptors: Mathematics Education, Elementary School Mathematics, Gamification, Game Based Learning
Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
Brooks, Patricia J.; Kempe, Vera – First Language, 2020
The radical exemplar model resonates with work on perceptual classification and categorization highlighting the role of exemplars in memory representations. Further development of the model requires acknowledgment of both the fleeting and fragile nature of perceptual representations and the gist-based, good-enough quality of long-term memory…
Descriptors: Models, Language Acquisition, Classification, Memory
Chi Hong Leung; Winslet Ting Yan Chan – Asian Journal of Contemporary Education, 2025
This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Error Patterns
Guisasola, Jenaro; Campos, Esmeralda; Zuza, Kristina; Zavala, Genaro – Physical Review Physics Education Research, 2023
Inquiring about students' learning and their difficulties understanding the concepts and models of physics is a familiar challenge in physics education research. Researchers have developed various methodologies, such as phenomenography, to address it. Phenomenography is an empirical approach to determining how people experience and understand…
Descriptors: Phenomenology, Learning Processes, Teaching Methods, Physics
Lishan Zhang; Linyu Deng; Sixv Zhang; Ling Chen – IEEE Transactions on Learning Technologies, 2024
With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…
Descriptors: Automation, Classification, Artificial Intelligence, Tutoring

Peer reviewed
Direct link
