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Jessica Stinson – ProQuest LLC, 2024
Intelligence tests have been used in the United States since the early 1900s for assessing soldiers during World War I (Kaufman & Harrison, 2008; White & Hall, 1980). Presently, cognitive assessments are used in school, civil service, military, clinical, and industry settings (White & Hall, 1980). Although the results of these…
Descriptors: Graduate Students, Masters Programs, Doctoral Programs, Comparative Analysis
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Danielle S. McNamara – Grantee Submission, 2024
Our primary objective in this Special Issue was to respond to potential criticisms of AIED in potentially "perpetuating poor pedagogic practices, datafication, and introducing classroom surveillance" and to comment on the future of AIED in its coming of age. My overarching assumption in response to this line of critiques is that humans…
Descriptors: Educational Practices, Educational Quality, Intelligent Tutoring Systems, Artificial Intelligence
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Stefan Depeweg; Contantin A. Rothkopf; Frank Jäkel – Cognitive Science, 2024
More than 50 years ago, Bongard introduced 100 visual concept learning problems as a challenge for artificial vision systems. These problems are now known as Bongard problems. Although they are well known in cognitive science and artificial intelligence, only very little progress has been made toward building systems that can solve a substantial…
Descriptors: Visual Learning, Problem Solving, Cognitive Science, Artificial Intelligence
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Rustam Shadiev; Xun Wang; Xuan Chen; Elena Gayevskaya; Nikolay Borisov – Education and Information Technologies, 2024
Recent evidence suggests that not many studies on technology-supported cross-cultural learning considered creating authentic, immersive learning environments and addressing the language barrier in communication among representatives of different cultures which are very critical matters in the field. The present study attempted to address this gap.…
Descriptors: Learning Activities, Technology Uses in Education, Translation, Student Attitudes
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Ho Young Yoon; Seokmin Kang; Sungyeun Kim – Journal of Computer Assisted Learning, 2024
Background: Research into enhancing the effectiveness of information delivery in asynchronous video lectures remains sparse. This study analyzes the nonverbal teaching behaviours in asynchronous online videos, drawing comparisons between pre-service and in-service teachers (ITs). Objectives: This research primarily aims to juxtapose the nonverbal…
Descriptors: Asynchronous Communication, Video Technology, Lecture Method, Nonverbal Communication
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Tong Zhou; Xingliang Wu; Yudong Wang; Yilei Wang; Shunan Zhang – Education and Information Technologies, 2024
The application of artificial intelligence in physical education (AIPE) has provided new ways to improve learning and teaching activities in physical classes. However, literature reviews that provide a systematic review and analysis of AIPE are limited. To address this gap, this study provided an overview of AIPE-related empirical research.…
Descriptors: Artificial Intelligence, Physical Education, Technology Uses in Education, Athletics
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Ismaila Temitayo Sanusi; Kissinger Sunday; Solomon Sunday Oyelere; Jarkko Suhonen; Henriikka Vartiainen; Markku Tukiainen – Computer Science Education, 2024
Background and context: Researchers have been investigating ways to demystify machine learning for students from kindergarten to twelfth grade (K-12) levels. As little evidence can be found in the literature, there is a need for additional research to understand and facilitate the learning experience of children while also considering the African…
Descriptors: Artificial Intelligence, Foreign Countries, Elementary Secondary Education, Interaction
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Alice Watanabe – Electronic Journal of e-Learning, 2024
Artificial intelligence (AI) in higher education is a complex issue that can be discussed from many different perspectives. There is currently a great need for ethical discussions about the use of AI in universities. For example, educational researchers and teachers are already talking a lot about fairness, accountability, transparency, bias,…
Descriptors: Artificial Intelligence, Higher Education, Ethics, Technology Uses in Education
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Amjad Islam Amjad; Sarfraz Aslam; Umaira Tabassum – European Journal of Education, 2024
Mobile learning (M-learning), ChatGPT and social media are integral to university education, improving accessibility, personalization and interactive engagement in the learning process. This paper aimed to investigate the role of M-learning, ChatGPT and social media in university students' academic performance. It was a cross-sectional…
Descriptors: Telecommunications, Handheld Devices, Electronic Learning, Social Media
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Bihao Hu; Longwei Zheng; Jiayi Zhu; Lishan Ding; Yilei Wang; Xiaoqing Gu – IEEE Transactions on Learning Technologies, 2024
This study explores and analyzes the specific performance of large language models (LLMs) in instructional design, aiming to unveil their potential strengths and possible weaknesses. Recently, the influence of LLMs has gradually increased in multiple fields, yet exploratory research on their application in education remains relatively scarce. In…
Descriptors: Artificial Intelligence, Natural Language Processing, Instructional Design, Prompting
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Nikita Yadav; Rajkumari Singh – Journal on Educational Psychology, 2024
This paper is an attempt to develop and validate the Emotional Competence Scale (ECS) in order to assess the emotional competence of upper primary school students. This review was done to find the dimensions that measure emotional competence. The dimensions are classified into two broad categories, such as personal competence and social…
Descriptors: Validity, Emotional Intelligence, Elementary School Students, Interpersonal Competence
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Sabrina Subri; Letizia Palumbo; Emma Gowen – Journal of Autism and Developmental Disorders, 2024
Symmetry studies in autism are inconclusive possibly due to different types of stimuli used which depend on either local or global cues. Therefore, this study compared symmetry detection between 20 autistic and 18 non-autistic adults matched on age, IQ, gender and handedness, using contour integration tasks containing open and closed contours that…
Descriptors: Autism Spectrum Disorders, Adults, Comparative Analysis, Stimuli
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Arturo Cortez; José Ramón Lizárraga; Edward Rivero – Reading Research Quarterly, 2024
This article reports on findings from a social design-based study conducted with an intergenerational group of youth, educators and researchers participating in the Learning to Transform (LiTT) Gaming Lab. We advance the notion of AlgoRitmo Literacies, to highlight the ingenuity of youth and educators as they used a tool called Character AI to…
Descriptors: Algorithms, Artificial Intelligence, Latin American Culture, Literacy
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Cansu Aykut Kolay; Büsra Gölbasi – Online Submission, 2024
Recent developments in technology have contributed to the reshaping of the practice of foreign language education. Among those, even though generative artificial intelligence (GENAI) is not a recently emerged technology, it has started to become prominent in the field of foreign language teaching. Therefore, it is possible to observe GENAI tools…
Descriptors: Artificial Intelligence, Second Language Instruction, Educational Technology, Technology Uses in Education
Nicole Weber; Katie Campbell; Hannah Bauer; Corine McCarthy – Online Learning Consortium, 2024
This qualitative study interviewed twelve (n=12) instructional design and learning technology leaders from the K12, higher education, nonprofit, and corporate sectors to identify trends and challenges that were impacting their work and the work of their teams. Results included technology trends (e.g., artificial intelligence, augmented and virtual…
Descriptors: Instructional Design, Educational Trends, Barriers, Technology Uses in Education
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