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Hui Jin; Cynthia Lima; Limin Wang – Educational Measurement: Issues and Practice, 2025
Although AI transformer models have demonstrated notable capability in automated scoring, it is difficult to examine how and why these models fall short in scoring some responses. This study investigated how transformer models' language processing and quantification processes can be leveraged to enhance the accuracy of automated scoring. Automated…
Descriptors: Automation, Scoring, Artificial Intelligence, Accuracy
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Edwin Creely; Danah Henriksen; Michael Henderson; Punya Mishra – Journal of Interactive Media in Education, 2025
In this article we investigate the role of generative AI in education with a focus on creativity, metaphorically utilising relevant features from Augusto Boal's Forum Theatre as part of a participatory qualitative inquiry. Presenting three distinct perspectives--Gatekeeper, Evangelist, and Diplomat--our article explores emotional and intellectual…
Descriptors: Artificial Intelligence, Creativity, Technology Uses in Education, Figurative Language
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Athanasia Panagiotidou; Chryssoula Chatzigeorgiou; Evangelos Christou; Ioannis Roussakis – Educational Process: International Journal, 2025
Background/purpose: Educational unit managers, as leaders, need to cultivate essential skills such as emotional intelligence and psychological resilience to enhance their effectiveness in educational leadership and management that promotes the proper functioning of public educational units. This study aimed to examine the relationship between…
Descriptors: Administrators, Emotional Intelligence, Resilience (Psychology), Foreign Countries
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Leonidas Zotos; Hedderik van Rijn; Malvina Nissim – International Educational Data Mining Society, 2025
In an educational setting, an estimate of the difficulty of Multiple-Choice Questions (MCQs), a commonly used strategy to assess learning progress, constitutes very useful information for both teachers and students. Since human assessment is costly from multiple points of view, automatic approaches to MCQ item difficulty estimation are…
Descriptors: Multiple Choice Tests, Test Items, Difficulty Level, Artificial Intelligence
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Michael J. Parker; Caitlin Anderson; Claire Stone; YeaRim Oh – International Journal of Artificial Intelligence in Education, 2025
This paper assesses the potential for the large language models (LLMs) GPT-4 and GPT-3.5 to aid in deriving insight from education feedback surveys. Exploration of LLM use cases in education has focused on teaching and learning, with less exploration of capabilities in education feedback analysis. Survey analysis in education involves goals such…
Descriptors: Artificial Intelligence, Natural Language Processing, Surveys, Feedback (Response)
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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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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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Sinead Rhodes; Josephine N. Booth; Emily McDougal; Jessica Oldridge; Karim Rivera-Lares; Alexia Revueltas Roux; Tracy M. Stewart – Journal of Autism and Developmental Disorders, 2025
We examined whether cognitive profiles or diagnostic outcomes are better predictors of literacy performance for children being considered for an ADHD diagnosis. Fifty-five drug naïve children (M[subscript age] = 103.13 months, SD = 18.65; 29.09% girls) were recruited from an ADHD clinical referral waiting list. Children underwent assessment of IQ,…
Descriptors: Executive Function, Predictor Variables, Profiles, Literacy
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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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Reginald Lucien; Sanghoon Park – TechTrends: Linking Research and Practice to Improve Learning, 2024
The purpose of this study was to share the design and development case of Advising Virtual Assistant (AVA), a chatbot created to provide support in academic advising in higher education. By analyzing participants' usage data and chatbot performance, we attempted to understand how students engage with AVA to fulfill their advising needs. AVA…
Descriptors: Artificial Intelligence, Academic Advising, College Students, Program Effectiveness
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