Publication Date
| In 2026 | 0 |
| Since 2025 | 57 |
| Since 2022 (last 5 years) | 147 |
| Since 2017 (last 10 years) | 147 |
| Since 2007 (last 20 years) | 147 |
Descriptor
Source
Author
| Alexander Renkl | 2 |
| I. Ibrohim | 2 |
| Inga Glogger-Frey | 2 |
| Peter Hesse | 2 |
| Stephan Abele | 2 |
| Xiantong Yang | 2 |
| A^ngelo F. Pitanga | 1 |
| Abasiafak Udosen | 1 |
| Abdulkadir Rahardjanto | 1 |
| Achilleas Mandrikas | 1 |
| Adam Burke | 1 |
| More ▼ | |
Publication Type
Education Level
Audience
| Teachers | 5 |
| Administrators | 1 |
| Practitioners | 1 |
| Researchers | 1 |
Location
| Indonesia | 12 |
| Thailand | 6 |
| China | 5 |
| Taiwan | 4 |
| United Kingdom | 3 |
| Australia | 2 |
| Brazil | 2 |
| South Africa | 2 |
| South Korea | 2 |
| Turkey | 2 |
| Brunei | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sandra Boamah; Emmanuel Asemani; Emmanuel Kabutey Koranteng; Ronald Osei Mensah – Discover Education, 2025
This research examined the impact of the Cognitive-Communicative (C-C) model as a pedagogical strategy for teaching algebraic word problems (AWPs). The C-C model integrates structured dialogue, concept clarification, and systematic problem-solving steps to enhance students' comprehension and reasoning. Employing a mixed-methods framework, the…
Descriptors: High School Seniors, Algebra, Mathematics Instruction, Problem Solving
Xiaojun Ma; Yan Ping Xin – Journal of Special Education, 2024
The National Council of Teachers of Mathematics (NCTM) emphasizes the teaching of "Big Ideas" in mathematics. This study focuses on the part-part-whole (PPW) relationship as a crucial aspect of word problem solving involving addition and subtraction. This study, conducted in the United States, evaluated the effects of conceptual…
Descriptors: Children, Intelligence Tests, Grade 2, Autism Spectrum Disorders
Julius Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Instructional Science: An International Journal of the Learning Sciences, 2024
Self-explanation prompts in example-based learning are usually directed backwards: Learners are required to self-explain problem-solving steps just presented ("retrospective" prompts). However, it might also help to self-explain upcoming steps ("anticipatory" prompts). The effects of the prompt type may differ for learners with…
Descriptors: Problem Based Learning, Problem Solving, Prompting, Models
Ümit Karabiyik – Problems of Education in the 21st Century, 2025
Mathematical problem-posing and modeling are essential skills in developing students' analytical thinking and problem-solving abilities. This study aims to examine correlation between 9th-grade students' problem-posing and mathematical modeling skills within the learning domain of numbers and algebra. Additionally, it evaluates students'…
Descriptors: Secondary School Students, Mathematical Concepts, Models, STEM Education
Thiyaporn Kantathanawat; Anyamanee Ussarn; Mai Charoentham; Paitoon Pimdee – Educational Process: International Journal, 2025
Background/purpose: The increasing integration of digital technology in education underscores the need for instructional models that support personalized, skill-based, and problem-solving focused learning. While traditional pedagogies often fail to address these needs comprehensively, this study proposes that the Mastery Adaptive Problem-Solving…
Descriptors: Educational Technology, Technology Uses in Education, Problem Solving, Mastery Learning
Yiting Wang; Tong Li; Jiahui You; Xinran Zhang; Congkai Geng; Yu Liu – ACM Transactions on Computing Education, 2025
Understanding software modelers' difficulties and evaluating their performance is crucial to Model-Driven Engineering (MDE) education. The software modeling process contains fine-grained information about the modelers' analysis and thought processes. However, existing research primarily focuses on identifying obvious issues in the software…
Descriptors: Computer Software, Engineering Education, Models, Identification
Suyato; Yayuk Hidayah; Lutfia Septiningrum; Iqbal Arpannudin – Journal of Education and e-Learning Research, 2024
The study examines the application of the collaborative learning model to improve 21st-century civic skills. The 21st century presents a number of unique challenges in the world of education. Rapid changes in technology, economics, and politics have placed new demands on individual learning and development. One of the key aspects of preparing…
Descriptors: Cooperative Learning, Models, 21st Century Skills, Civics
Ru Ying Cai; Andrea C. Samson – Autism: The International Journal of Research and Practice, 2025
Difficulties regulating emotions have been coined as inherent to autism, possibly even presenting a core difficulty of autism. While several models of emotion regulation have been proposed in the past, in this targeted review article, we aim to map emotion regulation difficulties in autistic individuals within the framework of the extended process…
Descriptors: Autism Spectrum Disorders, Self Control, Psychological Patterns, Emotional Problems
Wan-Chong Choi; Chan-Tong Lam; António José Mendes – International Educational Data Mining Society, 2025
Missing data presents a significant challenge in Educational Data Mining (EDM). Imputation techniques aim to reconstruct missing data while preserving critical information in datasets for more accurate analysis. Although imputation techniques have gained attention in various fields in recent years, their use for addressing missing data in…
Descriptors: Research Problems, Data Analysis, Research Methodology, Models
Joalise Janse van Rensburg – Discover Education, 2024
The ability to think critically is an important and valuable skill that students should develop to successfully solve problems. The process of writing requires critical thinking (CT), and the subsequent piece of text can be viewed as a product of CT. One of the strategies educators may use to develop CT is modelling. Given ChatGPT's ability to…
Descriptors: Critical Thinking, Writing Instruction, Computer Software, Artificial Intelligence
Linda Oktaviani; Ullu Yandi Aulia; Mukhamad Murdiono; Suharno Suharno – Journal of Education and Learning (EduLearn), 2024
This study aims to provide a comprehensive analysis of the implementation of Pancasila learning with the goal of improving critical thinking skills through the application of the six thinking hats model. The research adopts a descriptive approach utilizing qualitative methods. The study was conducted at the Faculty of Engineering, Universitas…
Descriptors: Critical Thinking, Thinking Skills, Skill Development, Active Learning
Camille Lund – Mathematics Teacher: Learning and Teaching PK-12, 2024
Every educator knows the sinking feeling of a lesson gone wrong. As teachers look around the room and realize that many of their students are just not getting it, they often feel like failures. However, the struggle students experience as they persevere through high-quality challenging tasks is not a sign of failure, but rather a key aspect of…
Descriptors: Mathematics Instruction, Difficulty Level, Mathematics Skills, Teaching Methods
Jinfa Cai; Benjamin Rott – ZDM: Mathematics Education, 2024
Problem posing engages students in generating new problems based on given situations (including mathematical expressions or diagrams) or changing (i.e., reformulating) existing problems. Problem posing has been at the forefront of discussion over the past few decades. One of the important topics studied is the process of problem posing as…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Solving, Models
Ethan Fosse; Fabian T. Pfeffer – Sociological Methods & Research, 2025
Over the past decade there has been a striking increase in the number of quantitative studies examining the effects of social mobility, with almost all based on the diagonal reference model (DRM). We make four main contributions to this rapidly expanding literature. First, we show that under plausible values of mobility effects, the DRM will, in…
Descriptors: Social Mobility, Models, Birth Rate, Statistical Analysis
Bogdan Yamkovenko; Charlie A. R. Hogg; Maya Miller-Vedam; Phillip Grimaldi; Walt Wells – International Educational Data Mining Society, 2025
Knowledge tracing (KT) models predict how students will perform on future interactions, given a sequence of prior responses. Modern approaches to KT leverage "deep learning" techniques to produce more accurate predictions, potentially making personalized learning paths more efficacious for learners. Many papers on the topic of KT focus…
Descriptors: Algorithms, Artificial Intelligence, Models, Prediction

Peer reviewed
Direct link
