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Rennie, Joseph P.; Zhang, Mengya; Hawkins, Erin; Bathelt, Joe; Astle, Duncan E. – Developmental Science, 2020
We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self-organizing maps (SOMs)--a type of simple artificial neural network--to represent multivariate cognitive training data, and then tested whether the way tasks are…
Descriptors: Short Term Memory, Teaching Methods, Artificial Intelligence, Cognitive Development
Luciana Oliveira; Célia Tavares; Artur Strzelecki; Manuel Silva – Electronic Journal of e-Learning, 2025
As generative artificial intelligence tools like ChatGPT become increasingly integrated into educational environments, understanding their impact on critical thinking is crucial. Despite growing concerns about AI's potential to diminish students' independent reasoning, there is a lack of research tools specifically designed to evaluate students'…
Descriptors: Critical Thinking, Artificial Intelligence, Computer Software, Technology Integration
May, Richard J.; Tyndall, Ian; McTiernan, Aoife; Roderique-Davies, Gareth; McLoughlin, Shane – British Journal of Educational Technology, 2022
Online interventions promoted to enhance cognitive ability hold great appeal for their potential positive impact in social, employment, and educational domains. Cognitive training programs have, thus far, not been shown to influence performance on tests of general cognitive aptitude. Strengthening Mental Abilities with Relational Training (SMART)…
Descriptors: Program Effectiveness, Meta Analysis, Intervention, Cognitive Ability
Xiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
Sasha M. Zeedyk; Shana R. Cohen; Jan Blacher; Abbey Eisenhower – International Journal of Inclusive Education, 2024
Limited research has explored mothers' perceptions of teachers' pedagogical practices that may or may not support the learning and development of their child with autism spectrum disorder (ASD). Mothers of children with ASD were asked to describe their perspective regarding three questions: (1) How do teachers structure the classroom environment…
Descriptors: Autism Spectrum Disorders, Mothers, Mother Attitudes, Classroom Environment
Mavrelos, Manos; Daradoumis, Thanasis – Education Sciences, 2020
Waldorf Education follows a holistic approach of children's development, where the fundamental characteristics are creative/artistic activities, integrating imagination-based teaching methods to support and enhance the development of children's and adolescents' physical, social, emotional, and cognitive skills. Neuroeducation provides the most…
Descriptors: Multiple Intelligences, Cognitive Development, Teaching Methods, Nontraditional Education
Suresh Namboothiri; Thomas Varghese; Mendus Jacob; Sunil Job; Joby Cyriac – Higher Education for the Future, 2025
This research investigates the critical need to integrate affective and psychomotor domains alongside cognitive development in educational systems to achieve the comprehensive 'Exit Outcomes' of Outcome-Based Education (OBE) and align with the National Higher Education Qualification Framework (NHEQF) descriptors. Traditional educational approaches…
Descriptors: Artificial Intelligence, Affective Behavior, Psychomotor Skills, Cognitive Processes
Aragón, Oriana R.; Eddy, Sarah L.; Graham, Mark J. – CBE - Life Sciences Education, 2018
Mounting evidence of the efficacy of active learning has prompted educators to consider adoption of these practices in college-level classrooms. One tenet of active learning is that most, if not all, students have the ability to learn. Instructors' perspectives on learning, however, may or may not be aligned with this. One belief held by some…
Descriptors: Teacher Attitudes, Active Learning, Teaching Methods, College Faculty
Lyngfelt, Anna; Sporre, Karin; Lifmark, David; Lilja, Annika; Osbeck, Christina; Franck, Olof – Cambridge Journal of Education, 2023
The overarching aim is to explore what teachers perceive as the opportunities provided by using literature in ethics education in compulsory school. When being interviewed, in what ways do the teachers express views on the potential of fiction to encourage students to accept certain human conditions as imaginable, or to create motivation for…
Descriptors: Ethics, Fiction, Teaching Methods, Teacher Attitudes
Qiongli Zhu; Sarfaroz Niyozov – Journal of the Scholarship of Teaching and Learning, 2024
This article presents a case study of an online course that cross-pollinated Universal Design for Learning (UDL) and dialogic teaching to facilitate deep learning. Conceptualized through the UDL framework, dialogue and dialogic teaching, and deep learning, our analysis employs the methods of design-based research and thematic analysis to unpack…
Descriptors: Online Courses, Access to Education, Artificial Intelligence, Technology Uses in Education
Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Wilson, Donna; Conyers, Marcus – Teachers College Press, 2020
This is the second edition of the seminal text designed to empower educators with an innovative and inspiring conceptual framework for effective teaching. This bestseller is grounded in the synergy of five big ideas for connecting mind, brain, and education research to classroom practice: neuroplasticity, potential, malleable intelligence, the…
Descriptors: Teaching Methods, Brain, Cognitive Processes, Neurology
Whitlow-Spurlock, Bridgette – ProQuest LLC, 2019
The purpose of this systematic, grounded theory study was to explain the educational processes used by homeschooling families of gifted and twice-exceptional children. For this study, educational processes were defined as instructional methods, curriculum, and structure used by homeschooling parents in the academic development of their gifted and…
Descriptors: Grounded Theory, Gifted Disabled, Home Schooling, Intelligence
Gojkov, Grozdanka; Rajovic, Ranko; Stojanovic, Aleksandar – Research in Pedagogy, 2015
A short presentation of the basic findings of an explorative research, in which the possibility of encouraging the development of critical thinking with the NTC learning system was explored, i.e. only the results of its influence on the development of one aspect--divergent production are presented. This paper is a modest addition to the research…
Descriptors: Critical Thinking, Thinking Skills, Creativity, Intelligence
Sasha M. Zeedyk; Shana R. Cohen; Jan Blacher; Abbey Eisenhower – Grantee Submission, 2021
Limited research has explored mothers' perceptions of teachers' pedagogical practices that may or may not support the learning and development of their child with autism spectrum disorder (ASD). Mothers of children with ASD were asked to describe their perspective regarding three questions: (1) How do teachers structure the classroom environment…
Descriptors: Autism, Pervasive Developmental Disorders, Mothers, Mother Attitudes