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Jyoti Sharma; B. Biswal; Pankaj Tyagi; Shobha Bagai – Gifted and Talented International, 2024
Academically gifted students or high potential learners don't feel challenged in regular classrooms. Teachers in schools are also not quipped with pedagogical interventions to meet the advanced learning needs of gifted students. Mentoring is considered an effective method to guide, motivate and optimize learning abilities of gifted students. The…
Descriptors: Mentors, Academically Gifted, Program Development, Science Education
Ching-Huei Chen; Victor Law – Educational Technology Research and Development, 2025
This study explores the roles of students' help-seeking profiles when seeking help from AI chatbots, specifically ChatGPT, in a digital game-based learning environment, "Summon of Magicrystal." The study involved 102 middle school students who played an online game with the provision of ChatGPT and sought help from ChatGPT while solving…
Descriptors: Help Seeking, Game Based Learning, Artificial Intelligence, Computer Software
Xiaona Xia; Wanxue Qi – European Journal of Education, 2025
Massive Open Online Courses (MOOCs) effectively support online learning behaviour; while constructing a sustainable learning process, MOOCs have also formed the social network. In addition, learners' burnout state has become a serious obstacle to the development and promotion of MOOCs. This study analyzes the potential social behaviour associated…
Descriptors: MOOCs, Burnout, Social Behavior, Feedback (Response)
Ramon Mayor Martins; Christiane G. Von Wangenheim; Marcelo F. Rauber; Adriano F. Borgatto; Jean C. R. Hauck – ACM Transactions on Computing Education, 2024
As Machine Learning (ML) becomes increasingly integrated into our daily lives, it is essential to teach ML to young people from an early age including also students from a low socioeconomic status (SES) background. Yet, despite emerging initiatives for ML instruction in K-12, there is limited information available on the learning of students from…
Descriptors: Artificial Intelligence, Computer Science Education, Socioeconomic Status, Correlation
Genimon Vadakkemulanjanal Joseph; P. Athira; M. Anit Thomas; Dawn Jose; Therese V. Roy; Malavika Prasad – Digital Education Review, 2024
The technology-supported education systems seamlessly integrated throughout the globe in response to the demands of post COVID-19 pandemic. The swift developments of the digital tools with Artificial Intelligence (AI) support are also readily diffused among the educational communities. This research paper investigates the synergistic impact of…
Descriptors: Digital Literacy, Artificial Intelligence, Computer Software, Learning Processes
Raat, E. M.; Kyle-Davidson, C.; Evans, K. K. – Cognitive Research: Principles and Implications, 2023
Extraction of global structural regularities provides general 'gist' of our everyday visual environment as it does the gist of abnormality for medical experts reviewing medical images. We investigated whether naïve observers could learn this gist of medical abnormality. Fifteen participants completed nine adaptive training sessions viewing four…
Descriptors: Feedback (Response), Diagnostic Tests, Cancer, Females
Zehang Xie; Xinzhu Wu; Yunxiang Xie – Journal of Computer Assisted Learning, 2024
Background: With the development of artificial intelligence (AI) technology, generative AI has been widely used in the field of education and represents a groundbreaking shift in overcoming the constraints of time and space within educational activities. However, previous literature has not paid enough attention to AI-involved teaching patterns,…
Descriptors: Longitudinal Studies, Undergraduate Students, Robotics, Technology Uses in Education
Del Zozzo, Agnese; Santi, George – Digital Experiences in Mathematics Education, 2023
We present a theoretical study that allows us to attempt framing in an embodied perspective the effectiveness of the drawing robot GGBot in the learning of geometry. The aim of the article is to set the intertwining of activity, semiotics, perception, and knowledge at the crossover of Radford's theory of objectification (TO) and Borba and…
Descriptors: Mathematics Education, Learning Processes, Elementary School Students, Geometric Concepts
Clark McKown; Nicole Russo-Ponsaran; Matthew Wronski; Ashley Karls – Grantee Submission, 2025
This study describes the rationale, design, development, and technical properties of SELweb MS, a direct assessment of social and emotional competencies in middle school students. Assessment and item design were iteratively developed with input from youth and experts to measure five domains: Self-Awareness, Self-Management, Social Awareness,…
Descriptors: Psychometrics, Social Emotional Learning, Middle School Students, Correlation
Lyn Lim; Maria Bannert; Joep van der Graaf; Yizhou Fan; Mladen Rakovic; Shaveen Singh; Inge Molenaar; Dragan Gaševic – British Journal of Educational Technology, 2024
Scaffolds that support self-regulated learning (SRL) have been found to improve learning outcomes. The effects of scaffolds can differ depending on how learners use them and how specific scaffolds might influence learning processes differently. Personalized scaffolds have been proposed to be more beneficial for learning due to their adaptivity to…
Descriptors: Learning Processes, Scaffolding (Teaching Technique), Comparative Analysis, Undergraduate Students
Vong, Wai Keen; Lake, Brenden M. – Cognitive Science, 2022
In order to learn the mappings from words to referents, children must integrate co-occurrence information across individually ambiguous pairs of scenes and utterances, a challenge known as cross-situational word learning. In machine learning, recent multimodal neural networks have been shown to learn meaningful visual-linguistic mappings from…
Descriptors: Vocabulary Development, Cognitive Mapping, Problem Solving, Visual Aids
Hof, Barbara – History of Education, 2021
Drawing on historical epistemology and considerations on the function of scientific modelling, this article investigates how in the mid-twentieth century electronic and programmable animal models became tools for exploring the inaccessible ontology of the human mind. The article examines how machines have informed our understanding of the learning…
Descriptors: Constructivism (Learning), Learning Processes, Foreign Countries, Epistemology
Yasemin Karal; Rabia Özdemir Sarialioglu – International Journal of Technology in Education, 2025
The transformative impact of generative artificial intelligence (GenAI) on educational environments has led higher education institutions to make radical changes in their curricula and teaching approaches. By integrating GenAI technologies into the educational process, students will be able to have rich learning experiences. However, students'…
Descriptors: Metacognition, Anxiety, Student Attitudes, Rating Scales
Godwin-Jones, Robert – Language Learning & Technology, 2023
Looking at human communication from the perspective of semiotics extends our view beyond verbal language to consider other sign systems and meaning-making resources. Those include gestures, body language, images, and sounds. From this perspective, the communicative process expands from individual mental processes of verbalizing to include features…
Descriptors: Second Language Learning, Second Language Instruction, Semiotics, Nonverbal Communication
Abbi-Storm McCann; Lindsay Tan; Kate Thornton – Frontiers: The Interdisciplinary Journal of Study Abroad, 2023
This research assessed the impact of study abroad and classroom-based cultural experiences on traditional college students' cultural intelligence (CQ) levels, as measured through the standardized Cultural Intelligence Survey. Data from students participating in cultural experiences were collected using the Cultural Intelligence Scale (CQS). The…
Descriptors: Cultural Awareness, Study Abroad, Educational Experience, College Students

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