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Jamie Sarah Gorson – ProQuest LLC, 2022
While there is high demand for university computer science (CS) courses, students often struggle when learning to program. Prior work has identified that student perceptions of their programming ability may contribute to these challenges. For example, studies show that students often perceive that they do not belong, are not capable of succeeding,…
Descriptors: Programming, Student Attitudes, Student Experience, Self Efficacy
Francine Bard Fabricant – ProQuest LLC, 2022
This exploratory case study examined how and if career counselors learned about the impact of automation and artificial intelligence (AI) on occupations, including which actions, activities, and conditions helped or hindered their learning, and what impact this learning had on their professional practice. The data included questionnaires and…
Descriptors: Career Counseling, Counselors, Automation, Artificial Intelligence
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Alvares, Gail A.; Bebbington, Keely; Cleary, Dominique; Evans, Kiah; Glasson, Emma J.; Maybery, Murray T.; Pillar, Sarah; Uljarevic, Mirko; Varcin, Kandice; Wray, John; Whitehouse, Andrew J. O. – Autism: The International Journal of Research and Practice, 2020
'High functioning autism' is a term often used for individuals with autism spectrum disorder without an intellectual disability. Over time, this term has become synonymous with expectations of greater functional skills and better long-term outcomes, despite contradictory clinical observations. This study investigated the relationship between…
Descriptors: Misconceptions, Autism, Pervasive Developmental Disorders, Intelligence
Mahmoud M. S. Abdallah, Compiler – Online Submission, 2024
The book New Trends in Gifted Education is a comprehensive guide aimed at supporting PhD students, educators, and researchers in understanding the evolving field of gifted education within TESOL/TEFL contexts. Compiled by Dr. Mahmoud M. S. Abdallah, the book explores both established and emerging trends, focusing on practical applications that…
Descriptors: Academically Gifted, Gifted Education, Doctoral Students, English (Second Language)
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Schubert, Anna-Lena; Hagemann, Dirk; Löffler, Christoph; Frischkorn, Gidon T. – Journal of Intelligence, 2020
Several studies have demonstrated that individual differences in processing speed fully mediate the association between age and intelligence, whereas the association between processing speed and intelligence cannot be explained by age differences. Because measures of processing speed reflect a plethora of cognitive and motivational processes, it…
Descriptors: Intelligence, Aging (Individuals), Age Differences, Individual Differences
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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
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Breit, Moritz; Brunner, Martin; Preckel, Franzis – Developmental Psychology, 2020
Differentiation of intelligence refers to changes in the structure of intelligence that depend on individuals' level of general cognitive ability (ability differentiation hypothesis) or age (developmental differentiation hypothesis). The present article aimed to investigate ability differentiation, developmental differentiation, and their…
Descriptors: Intelligence, Cognitive Ability, Adolescents, Age Differences
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Casal-Otero, Lorena; Catala, Alejandro; Fernández-Morante, Carmen; Taboada, Maria; Cebreiro, Beatriz; Barro, Senén – International Journal of STEM Education, 2023
The successful irruption of AI-based technology in our daily lives has led to a growing educational, social, and political interest in training citizens in AI. Education systems now need to train students at the K-12 level to live in a society where they must interact with AI. Thus, AI literacy is a pedagogical and cognitive challenge at the K-12…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Integrated Curriculum
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Buijsman, Riley; Begeer, Sander; Scheeren, Anke M. – Autism: The International Journal of Research and Practice, 2023
The language used to refer to autism has been a topic of ongoing debate. Research in English-speaking countries indicated an overall preference for identity-first language ('autistic person') among autistic adults rather than person-first language ('person with autism'). We examined terminology preference in Dutch autistic adults (n = 1026; 16-84…
Descriptors: Autism Spectrum Disorders, Foreign Countries, Adults, Parents
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Saini, Munish; Arora, Vaibhav; Singh, Madanjit; Singh, Jaswinder; Adebayo, Sulaimon Oyeniyi – Education and Information Technologies, 2023
With the advent of technology and digitization, the use of Information and Communication Technology (ICT) and its tools for the imperative dissemination of information to learners are gaining more ground. During the process of the conveyance of lectures, it is mostly observed that students (learners) are supposed to take notes (minutes) of the…
Descriptors: Artificial Intelligence, Multilingualism, Information Technology, Guidelines
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Guleria, Pratiyush; Sood, Manu – Education and Information Technologies, 2023
Machine Learning concept learns from experiences, inferences and conceives complex queries. Machine learning techniques can be used to develop the educational framework which understands the inputs from students, parents and with intelligence generates the result. The framework integrates the features of Machine Learning (ML), Explainable AI (XAI)…
Descriptors: Artificial Intelligence, Career Counseling, Data Analysis, Employment Potential
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Ariely, Moriah; Nazaretsky, Tanya; Alexandron, Giora – International Journal of Artificial Intelligence in Education, 2023
Machine learning algorithms that automatically score scientific explanations can be used to measure students' conceptual understanding, identify gaps in their reasoning, and provide them with timely and individualized feedback. This paper presents the results of a study that uses Hebrew NLP to automatically score student explanations in Biology…
Descriptors: Artificial Intelligence, Algorithms, Natural Language Processing, Hebrew
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Kim, Jung Hoon; Kwon, Jongkyum; Ryoo, Ji Hoon – Psychology in the Schools, 2023
Mindset is a key factor affecting personality and learning for adolescents, especially those living in countries focusing heavily on human resources, such as Korea, Singapore, and Hong Kong. We examined associations of fixed intelligence mindset, fixed creative mindset, students' gender and school type via a structural equation modeling. The…
Descriptors: Foreign Countries, High School Students, Academically Gifted, Vocational High Schools
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Herring, Catherine – Ethics and Education, 2023
This paper explores the concept of potential through a Deleuzean lens and argues that what is commonly understood as potential is often confused with possibility. It moves through four parts: an introduction exploring the language and context in which potential is ordinarily used in order to uncover underlying presuppositions; the next section…
Descriptors: Creative Activities, Educational Change, Educational Practices, Information Technology
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Beege, Maik; Schneider, Sascha – Educational Technology Research and Development, 2023
Pedagogical agents were found to enhance learning but studies on the emotional effects of such agents are still missing. While first results show that pedagogical agents with an emotionally positive design might especially foster learning, these findings might depend on the gender of the agent and the learner. This study investigated whether…
Descriptors: Psychological Patterns, Design, Emotional Response, Educational Technology
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