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Jongjit Kaosim; Santi Wijakkanalan; Chaiyuth Sirisuthi – Journal of Education and Learning, 2025
This research aimed to develop an integrated learning experience model through storytelling to promote executive functions in early childhood and investigate children's executive tasks. Using purposive sampling, the target group consisted of 40 kindergarten children in their third year at Khon Kaen Kindergarten School, during the first semester of…
Descriptors: Foreign Countries, Story Telling, Early Childhood Education, Kindergarten
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Natasha Davies; Anita Soni – Support for Learning, 2025
The special educational needs and disabilities (SEND) system is in crisis. A major new inquiry has been launched to find solutions, in part exploring how educational settings can become more inclusive through the provision of 'high quality support'. This begs the question--what "is" high quality support? Revisiting how SEND is…
Descriptors: Models, Special Education, Special Needs Students, Students with Disabilities
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Elisa Martinez Marroquin; Bouchra Senadji – International Journal of Information and Learning Technology, 2025
Purpose: Technology, such as artificial intelligence (AI), is transforming the way we work; however, it is yet to systemically transform learning at the workplace beyond augmentation of formal education's learning processes. This paper derives functional requirements for technologies that support workplace learning and assesses the suitability and…
Descriptors: Workplace Learning, Artificial Intelligence, Educational Change, Technology Integration
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Ikenna Stephen Ezennia; Peter Chukwuemeka Agbonome – Discover Education, 2025
The most important teaching and learning method in the architectural design studio (ADS) is the critique session, which is generally employed as an assessment tool. However, the traditional critique models which enjoy global acceptance and are the most applied teaching methods in ADS, are yet to attain their maximum potential. This assertion…
Descriptors: Architectural Education, Educational Improvement, Design, Studio Art
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Yanping Pei; Adam C. Sales; Hyeon-Ah Kang; Tiffany A. Whittaker – International Educational Data Mining Society, 2025
Fully-Latent Principal Stratification (FLPS) offers a promising approach for estimating treatment effect heterogeneity based on patterns of students' interactions with Intelligent Tutoring Systems (ITSs). However, FLPS relies on correctly specified models. In addition, multiple latent variables, such as ability, participation, and epistemic…
Descriptors: Intelligent Tutoring Systems, Measurement, Computation, Simulation
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Yanping Pei; Adam Sales; Hyeon-Ah Kang; Tiffany Whittaker – Society for Research on Educational Effectiveness, 2025
As educational technology (EdTech) grows in prominence, so does the urgency to test the efficacy of computer-based learning tools in the field. To answer this need, education researchers have conducted a large number of randomized controlled trials (RCTs) that generate high-quality evidence of EdTech effectiveness. The most important policy goal…
Descriptors: Intelligent Tutoring Systems, Measurement, Computation, Simulation
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Nuttakan Pakprod; Kanokrat Jirasatjanukul; Phatchanthon Tongleg; Wasana Yawong – Higher Education Studies, 2025
This research aimed (1) to evaluate a project-based learning model for enhancing computational science teaching skills of master teachers in Prachuap Khiri Khan Province, and (2) to assess the validity of a structured interview form designed to evaluate these teachers' computational science teaching skills. The target group consisted of five…
Descriptors: Active Learning, Student Projects, Computation, Thinking Skills
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Ahmet Ayaz; Metin Piskin – Turkish Journal of Education, 2025
This research aims to develop the Career Renewal Power (CRP) Model, which explains career transition processes through the concepts of need perception and need satisfaction, based on Glasser's Choice Theory. To investigate the structure and functioning of the model, two qualitative studies were conducted. Subsequently, the CRP Scale was developed,…
Descriptors: Career Development, Models, Need Gratification, Measures (Individuals)
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Daiki Matsumoto; Atsushi Shimada; Yuta Taniguchi – International Association for Development of the Information Society, 2025
Predicting learner actions and intentions is crucial for providing personalized real-time support and early intervention in programming education. This approach enables proactive, context-aware assistance that is difficult for human instructors to deliver by foreseeing signs of potential struggles and misconceptions, or by inferring a learner's…
Descriptors: Prediction, Programming, Coding, Models
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Jeffrey E. Anderson; Carlin A. Nguyen; Gerardo Moreira – International Journal of Information and Learning Technology, 2025
Purpose: This paper explores the integration of generative artificial intelligence (GenAI) into the Community of Inquiry (CoI) framework, focusing on how GenAI can dynamically personalize online learning environments. The study aims to examine how GenAI can enhance social, cognitive and teaching presence, thus meeting the diverse needs of…
Descriptors: Communities of Practice, Inquiry, Artificial Intelligence, Individualized Instruction
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Taksina Sreelohor; Sarawut Jakpeng; Sumalee Chaijaroen – Journal of Education and Learning, 2025
This study aims to develop and validate a Constructivist Learning Environment Model to address secondary students' misconceptions in learning Science. Employing a Design and Development approach (Richey & Klein, 2007), the research is conducted in two phases. Phase 1 focuses on model design, drawing from an extensive literature review to…
Descriptors: Constructivism (Learning), Science Education, Scientific Concepts, Misconceptions
Valerie Smeets; Lin Tian; Sharon Traiberman – National Bureau of Economic Research, 2025
We argue that college students' field-of-study choices significantly influence how economies respond to labor market disruptions. To do so, we develop and estimate a framework featuring forward-looking students who choose a field of study when entering college, and subsequently make decisions over occupations after graduating and entering the…
Descriptors: Career Choice, Career Change, College Students, Specialization
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Sally Staton; Sandy Houen; Peter Rankin; Karen Thorpe – Australian Educational Researcher, 2025
Australia's Productivity Commission report, "A path to universal early childhood education and care" (2024), recommended a review of the National Quality Framework for early childhood education and care (ECEC) and increased funding to support regulatory activity. Evidence underpinning the report identified an imperative to improve the…
Descriptors: Educational Improvement, Educational Quality, Early Childhood Education, Foreign Countries
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Anderson Almeida-Silva; Remo Nitschke; Fernando Valls Yoshida; Vitor Nóbrega; Shigeru Miyagawa – Cognitive Science, 2025
It is assumed that in order to acquire a language, children must be exposed to a language during the critical period, which generally lasts until puberty. Here, we report on Cena, an emergent sign language that has developed among a small group of deaf people in an isolated town in the state of Piauí, Brazil. Starting three generations ago, it has…
Descriptors: Foreign Countries, Language Acquisition, Sign Language, Deafness
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Lauren Azevedo; Pedro Robles; Eric Best; Daniel J. Mallinson – New Directions for Adult and Continuing Education, 2025
This article explores institutional policies on artificial intelligence (AI) in higher education. As AI tools become increasingly utilized in academia--from research and teaching to assessment and student support--institutions face growing pressure to establish clear, ethical, and practical guidelines to help guide faculty. We examine existing…
Descriptors: Artificial Intelligence, Models, Best Practices, College Faculty
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