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Tarattakan Pachumwon; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
This study introduces CAILE, a design thinking-driven conceptual framework for a Creative AI Learning Environment, designed to enhance programming skills. Evaluates clarity, appropriateness, and feasibility through expert judgment. Phase 1 synthesized 34 peer-reviewed studies (2019-2025) to articulate CAILE's structure across three layers: Inputs…
Descriptors: Creativity, Artificial Intelligence, Technology Uses in Education, Programming
Ghudkam, Supachai; Chatwattana, Pinanta; Piriyasurawong, Pallop – Higher Education Studies, 2023
An imagineering learning model using advance organizers with the internet of things was developed to promote creative innovation for learners in the 21st century. It is an innovation initiated by integrating classroom learning and technology that connects with the internet of things. The objectives of this research were (1) to study and synthesize…
Descriptors: Advance Organizers, Models, Imagination, Problem Solving
Nurit Paz-Baruch; Guy Grovas; Zemira R. Mevarech – Metacognition and Learning, 2025
Fostering creative thinking and promoting metacognitive processes are two major goals of 21st -century education. Recent research has pinpointed the essential role of meta-creativity in the process of creative thinking. Nevertheless, the concept of meta-creativity has not been widely adopted. The purpose of the present study is, therefore,…
Descriptors: Grade 6, Elementary School Students, Creative Thinking, Metacognition
Elizabeth Jane Rose Stretch – ProQuest LLC, 2023
The sentiment that creativity is the most important skill needed to solve the problems that we face is repeated by different business and industry leaders around the world (Bronson & Merryman, 2010; NEA, n.d.; Nussbaum et al., 2005; Sammio, 2017). The call for creativity has been amplified in response to the problems and obstacles caused by…
Descriptors: Elementary School Students, Grade 6, STEM Education, Failure
Yu Song; Longchao Huang; Lanqin Zheng; Mengya Fan; Zehao Liu – International Journal of Educational Technology in Higher Education, 2025
This study explores the effectiveness of chatbots empowered by generative artificial intelligence (GAI) in assisting university students' creative problem-solving (CPS). We used quasi-experiments to compare the performance of dialogue dynamics, learner perceptions, and practical competencies in CPS during students' interactions with: (1) a GAI…
Descriptors: Artificial Intelligence, Graduate Students, Student Behavior, Creativity
Sonal Devesh; Abhishek Nanjundaswamy – Journal of Applied Research in Higher Education, 2025
Purpose: To determine the factors influencing the perception of undergraduate students toward research--teaching nexus and also to examine its impact on the attitude of the students. Design/methodology/approach: The study used a quantitative design to examine the perceptions of students in higher education institutions in India. Descriptive and…
Descriptors: Undergraduate Students, Student Attitudes, Indians, Colleges
Autaiwan Sriarun; Sarit Srikao; Nirat Jantharajit – Journal of Education and Learning, 2025
The study creates the development of the Experiential Learning Management Model (ELMM) for early childhood education, rooted in the Reggio Emilia approach. The Reggio Emilia approach, established in the 1960s in northern Italy, emphasizes collaborative learning among children, educators, and parents. This educational philosophy cultivates an…
Descriptors: Early Childhood Education, Experiential Learning, Learning Theories, Problem Solving
Chamberlin, Scott; Payne, Anna M.; Kettler, Todd – International Journal of Mathematical Education in Science and Technology, 2022
The purpose of this literature review is to explicate the facets of mathematical problem solving taxonomies in relation to mathematical modeling. Subsequently, components and learning benefits of mathematical modeling are discussed. Examples of mathematical problems are embedded in the discussion and pragmatic applications to mathematical…
Descriptors: Mathematics Instruction, Mathematical Models, Problem Solving, Taxonomy
Yeh, Yu-Chu; Li, Pei-Hsin; Lin, Chung-Wei – Journal of Global Education and Research, 2020
Priming effect is, in a great part, an implicit learning mechanism; it may influence insight problem solving both consciously and unconsciously. The present study investigates interactions between personality traits and priming effects in insight problem solving involving novel object associations in complex situations over time. Based on the…
Descriptors: Priming, Personality Traits, Problem Solving, Personality Measures
Root-Bernstein, Michele; Root-Bernstein, Robert – Creativity Research Journal, 2023
Previous statistical studies found that polymathic networks of vocational and avocational interest predominate among Nobel Prize winners, discriminating them from less-successful peers. Here we confirm qualitatively and phenomenologically that this multidisciplinarity is a considered creative strategy. Peers often recognize Nobel laureates as…
Descriptors: Phenomenology, Interdisciplinary Approach, Awards, Creativity
Sternberg, Robert J. – Journal of Intelligence, 2021
This article explores the advantages of viewing intelligence not as a fixed trait residing within an individual, but rather as a person × task × situation interaction. The emphasis in the article is on the role of persons solving tasks embedded in situations involving learning, intellectual abilities, and competencies. The article opens with a…
Descriptors: Intelligence, Personality Traits, Problem Solving, Learning Processes
Araz Zirar – Review of Education, 2023
Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and can be used by students to generate assessed work. Proponents argue that language models enhance the student experience and academic achievement. Those concerned argue that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Models
Brady, Corey E.; Borromeo Ferri, Rita; Lesh, Richard A. – Investigations in Mathematics Learning, 2022
Mathematical modeling is a challenging and creative process. If one considers only interim or final solutions to modeling problems or interviews modelers afterward, often only their "explicit" models are accessible -- those expressed in work products or evinced in verbal and written reflections. The inner world of tacit knowledge and its…
Descriptors: Mathematics Instruction, Teaching Methods, Mathematical Models, Case Studies
Vaux, Dana E.; Moore, Tami J.; Nordhues, Jeffrey D. – International Journal of Technology in Education, 2022
This paper presents a model for mastery learning. The framework for this model overlays the cognitive and knowledge dimensions from Krathwohl's revision of Bloom's Taxonomy, the Revised Taxonomy, with Polanyi's theory of personal knowledge. A simplified framework integrates Polanyi's concepts of subsidiary and focal awareness with the Revised…
Descriptors: Risk, Creativity, Thinking Skills, Technology Integration
Delahunty, Thomas; Kimbell, Richard – British Educational Research Journal, 2021
Today's learners are engaging in study where access to knowledge is easier than it ever has been in human history. Rapid advancement of technology and the increasing ease with which communication and interaction can occur has dramatically changed the landscape in which teachers of science, technology, engineering and mathematics (STEM) operate.…
Descriptors: STEM Education, Learning Processes, Independent Study, Self Determination

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