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Na Zhang; Jinghan Xu; Xifeng Zhang; Yifang Wang – Education and Information Technologies, 2024
The presence of social robots in children's daily environments has steadily increased. With the advancement of artificial intelligence (AI), social robots have influenced children's learning and development. This study innovatively utilized the Web of Science database and conducted a bibliometric analysis of 517 publications on social robots…
Descriptors: Robotics, Interaction, Artificial Intelligence, Bibliometrics
Erik M. Francis – Solution Tree, 2024
Quality questions, directed inquiry, and authentic literacy are important tools that enhance students' comprehension, knowledge, and application of what is taught. Learn how to phrase and pose good questions that will ignite inquiring minds and enrich student learning during classroom instruction. Author Erik M. Francis shares a framework for…
Descriptors: Questioning Techniques, Inquiry, Elementary Secondary Education, Artificial Intelligence
Chen Wang – ProQuest LLC, 2024
Computational learning theory studies the design and analysis of learning algorithms, and it is integral to the foundation of machine learning. In the modern era, classical computational learning theory is growingly unable to catch up with new practical demands. In particular, problems arise in the following aspects: i). "scalability":…
Descriptors: Computation, Learning Theories, Algorithms, Artificial Intelligence
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Manuel Oliveira; Justus Brands; Judith Mashudi; Baptist Liefooghe; Ruud Hortensius – Cognitive Research: Principles and Implications, 2024
This paper examines how humans judge the capabilities of artificial intelligence (AI) to evaluate human attributes, specifically focusing on two key dimensions of human social evaluation: morality and competence. Furthermore, it investigates the impact of exposure to advanced Large Language Models on these perceptions. In three studies (combined N…
Descriptors: Artificial Intelligence, Moral Values, Competence, Behavior
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Lisa Bardach; Aki Schumacher; Ulrich Trautwein; Enkelejda Kasneci; Maike Tibus; Franz Wortha; Peter Gerjets; Tobias Appel – npj Science of Learning, 2024
Intelligence and personality are both key drivers of learning. This study extends prior research on intelligence and personality by adopting a behavioral-process-related eye-tracking approach. We tested 182 adults on fluid intelligence and the Big Five personality traits. Eye-tracking information (gaze patterns) was recorded while participants…
Descriptors: Adults, Intelligence, Personality, Eye Movements
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Kryven, Marta; Ullman, Tomer D.; Cowan, William; Tenenbaum, Joshua B. – Cognitive Science, 2021
Humans routinely make inferences about both the contents and the workings of other minds based on observed actions. People consider what others want or know, but also how intelligent, rational, or attentive they might be. Here, we introduce a new methodology for quantitatively studying the mechanisms people use to attribute intelligence to others…
Descriptors: Intelligence, Cognitive Processes, Behavior, Value Judgment
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Ronak R. Mohanty; Peter Selly; Lindsey Brenner; Shantanu Vyas; Cassidy R. Nelson; Jason B. Moats; Joseph L. Gabbard; Ranjana K. Mehta – IEEE Transactions on Learning Technologies, 2025
Immersive extended reality (XR) technologies, including augmented reality (AR), virtual reality, and mixed reality, are transforming the landscape of education and training through experiences that promote skill acquisition and enhance memory retention. These technologies have notably improved decision making and situational awareness in public…
Descriptors: Technology Integration, Artificial Intelligence, Safety Education, Instructional Design
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Devkan Kaleci – Journal of Educational Technology and Online Learning, 2025
The integration of artificial intelligence (AI) technologies into Learning Management Systems (LMS) represents a transformative advancement in contemporary education, enhancing personalization, efficiency, and interactivity. This study presents a systematic methodology for integrating AI technologies into the Moodle LMS. Moodle 4.5 was selected as…
Descriptors: Artificial Intelligence, Learning Management Systems, Educational Technology, Technology Integration
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Robert J. Sternberg; Chak Haang Wong; Banu Baydil – Roeper Review, 2024
We applied a balance theory of wisdom to thinking in the domain of science. In two studies, we administered maximum-performance scales measuring Scientific Wisdom, Scientific Reasoning, Scientific Creativity, and fluid and crystallized intelligence, and a typical-performance scale of self-assessed wisdom. Our Scientific Wisdom scale, along with…
Descriptors: Undergraduate Students, Scientific Concepts, Scientific Literacy, Science Achievement
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Brown, Amy M. C.; Sowcik, Matthew; Stedman, Nicole L. P.; Bunch, James C. – Journal of Leadership Education, 2023
This study was the first to examine two related constructs within the context of leadership. Stoicism is an ancient philosophy offering practical advice for a virtuous and eudaemonic life. As a method to examine one's emotional experiences (Sellars, 2006), leaders such as Roman Emperor Marcus Aurelius and Teddy Roosevelt (Aurelius, ca. 160 A.D.,…
Descriptors: Undergraduate Students, Student Leadership, Leadership Training, Specialization
Charles Andrew Patrick – ProQuest LLC, 2023
This research study proposes to examine the cultural intelligence of international student support staff, which in turn serves as an indicator for international student engagement and the acculturation outcomes of international students on university campuses in the state of Louisiana. In this study, the major theoretical construct, student…
Descriptors: Cultural Awareness, Student Personnel Workers, Foreign Students, Student Participation
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Chang, Shun-Chuan; Chang, Keng Lun – Educational Measurement: Issues and Practice, 2023
Machine learning has evolved and expanded as an interdisciplinary research method for educational sciences. However, cheating detection of test collusion among multiple examinees or sets of examinees with unusual answer patterns using machine learning techniques has remained relatively unexplored. This study investigates collusion on…
Descriptors: Cheating, Identification, Artificial Intelligence, Cooperation
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Baker, Bernadette M.; Siddiqui, Jamila – Journal of Curriculum and Pedagogy, 2022
This paper examines what is at stake in the trading zone, where Eco and Techno movements meet, especially in regard to the attributes generally posited as unique to "the human" and upon which compulsory schooling has been historically founded. It offers a thought experiment and investigation into how the simultaneity of Eco and Techno…
Descriptors: Compulsory Education, Ecology, Climate, Technological Advancement
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Sternberg, Robert J. – Roeper Review, 2022
The field of giftedness legitimates itself on the basis of correlations of gifted-identification measures with future success that do not mean what they often are taken to mean. When one views the inadequacies of these correlations, the field turns out to be much like the emperor who had no clothes. This essay reviews some of the assumptions upon…
Descriptors: Gifted, Academically Gifted, Talent Identification, Construct Validity
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Xieling Chen; Di Zou; Gary Cheng; Haoran Xie – Education and Information Technologies, 2024
The rise of massive open online courses (MOOCs) brings rich opportunities for understanding learners' experiences based on analyzing learner-generated content such as course reviews. Traditionally, the unstructured textual data is analyzed qualitatively via manual coding, thus failing to offer a timely understanding of the learner's experiences.…
Descriptors: Artificial Intelligence, Semantics, Course Evaluation, MOOCs
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