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Russell T. Warne – Gifted and Talented International, 2023
Tests of measurement invariance are essential to determining whether individual scores or group averages are comparable across populations. While international comparisons of mean IQ scores are common, tests of measurement invariance for intelligence test batteries (necessary for comparisons to be empirically supported) are rare. In this study,…
Descriptors: Foreign Countries, Adults, Intelligence Tests, Children
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Fan Ouyang; Tuan Anh Dinh; Weiqi Xu – Journal for STEM Education Research, 2023
Artificial intelligence (AI), as an emerging technology, has been widely used in STEM education to promote the educational assessment. Although AI-driven educational assessment has the potential to assess students' learning automatically and reduce the workload of instructors, there is still a lack of review works to holistically examine the field…
Descriptors: Educational Assessment, Artificial Intelligence, STEM Education, Academic Achievement
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Kouhsari, Masoumeh; Chen, Junjun; Amirian, Seyedeh Khadijeh – Leadership and Policy in Schools, 2023
Teacher's performance has significant influence on student's achievement. Few studies have sought to investigate the role of principal emotional intelligence on teacher job performance. This study examined the effects of principals' emotional intelligence on teacher performance by mediating the roles of organizational trust and professional…
Descriptors: Principals, Emotional Intelligence, Teacher Effectiveness, Trust (Psychology)
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Zheng, Lanqin; Niu, Jiayu; Zhong, Lu; Gyasi, Juliana Fosua – Interactive Learning Environments, 2023
Recently, artificial intelligence (AI) technologies have been widely used in the field of education, and artificial intelligence in education (AIEd) has gained increasing attention. However, no quantitative meta-analysis has been conducted on the overall effectiveness of AI on learning achievement and learning perception. To close this research…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Academic Achievement, Student Attitudes
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Dever, Daryn A.; Sonnenfeld, Nathan A.; Wiedbusch, Megan D.; Schmorrow, S. Grace; Amon, Mary Jean; Azevedo, Roger – Metacognition and Learning, 2023
Self-regulated learning (SRL), learners' monitoring and control of cognitive, affective, metacognitive, and motivational processes, is essential for learning. However, cognitive and metacognitive SRL strategies are not typically used accurately leading to poor learning outcomes. Intelligent tutoring systems (ITSs) attempt to address this issue by…
Descriptors: Independent Study, Artificial Intelligence, Systems Approach, Intelligent Tutoring Systems
Matthew Jannetti; Amy Carroll-Scott; Erikka Gilliam; Irene Headen; Maggie Beverly; Félice Lê-Scherban – Field Methods, 2023
Place-based initiatives often use resident surveys to inform and evaluate interventions. Sampling based on well-defined sampling frames is important but challenging for initiatives that target subpopulations. Databases that enumerate total population counts can produce overinclusive sampling frames, resulting in costly outreach to ineligible…
Descriptors: Sampling, Probability, Definitions, Prediction
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Yulong Li; Jing Sun; Hong Chen; Xiaojing Liu – Australian Journal of Teacher Education, 2023
Research about the sudden transition from offline to online in Macau during the pandemic is limited. Using the Community of Inquiry (COI) framework as the deductive thematic analysis template, we interviewed six award-winning teachers at a teaching-oriented local tertiary institute about their online teaching practices concerning social,…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Electronic Learning
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Shiv K. Tripathi; Wolfgang C. Amann; Agat Stachowicz-Stanusch – International Society for Technology, Education, and Science, 2023
The effective anti-corruption education requires careful understanding of the teaching-learning context. At the different stages of the designing an anti-corruption focuses course, we need to consider factors related to target learning group as well as the respective context in which they are. Learning style versatility is an important factor that…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Computer Oriented Programs
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Eyüp Yurt – International Society for Technology, Education, and Science, 2023
This study aims to examine the theses on the critical thinking disposition of teacher candidates in Turkey. The document review method was used, which deals with documents related to a specific subject with a qualitative approach. The data of the research were analyzed by content analysis method. The Turkish Council of Higher Education (TCHE)…
Descriptors: Foreign Countries, Preservice Teachers, Critical Thinking, Masters Theses
Muhsin Menekse – Grantee Submission, 2023
Generative artificial intelligence (AI) technologies, such as large language models (LLMs) and diffusion model image and video generators, can transform learning and teaching experiences by providing students and instructors with access to a vast amount of information and create innovative learning and teaching materials in a very efficient way…
Descriptors: Educational Trends, Engineering Education, Artificial Intelligence, Technology Uses in Education
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Michael G. Strawser; Russell Carpenter; Kevin Dvorak; Shanti Bruce; Danielle Aming – Journal of Faculty Development, 2023
Higher education has witnessed a rapid increase in conversations about how AI text generators will impact teaching and learning. To begin this conversation in the pages of JFD, we have curated initial perspectives here focused on how to approach faculty development as we enter another new era of higher education. [Note: The page range (3-8) shown…
Descriptors: Faculty Development, College Faculty, Artificial Intelligence, Technology Uses in Education
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Seyma N. Yildirim-Erbasli; Okan Bulut – Journal of Applied Testing Technology, 2023
The purpose of this study was to develop predictive models of student test-taking engagement in computerized formative assessments. Using different machine learning algorithms, the models utilize student data with item responses and response time to detect aberrant test behaviors such as rapid guessing. The dataset consisted of 7,602 students…
Descriptors: Computer Assisted Testing, Formative Evaluation, Prediction, Models
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Sternberg, Robert J.; Todhunter, Rebel J. E.; Litvak, Aaron; Sternberg, Karin – Journal of Intelligence, 2020
In many nations, grades and standardized test scores are used to select students for programs of scientific study. We suggest that the skills that these assessments measure are related to success in science, but only peripherally in comparison with two other skills, scientific creativity and recognition of scientific impact. In three studies, we…
Descriptors: Intelligence, Science Process Skills, Creativity, Creative Thinking
Simonton, Dean Keith – Gifted Child Quarterly, 2020
With just one exception, all of the volumes in Terman's Genetic Studies of Genius report the results of a longitudinal study of more than a thousand intellectually gifted children. That single exception is Volume II, Cox's single-authored "The Early Mental Traits of Three Hundred Geniuses," which instead was a retrospective study of 301…
Descriptors: Gifted, Individual Characteristics, Intelligence Quotient, History
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Puspitacandri, Ardhiana; Warsono; Soesatyo, Yoyok; Roesminingsih, Erny; Susanto, Heru – European Journal of Educational Research, 2020
This research aims to analyze the effects of intelligence quotient, emotional quotient, spiritual quotient, and adversity quotient on the graduates quality of vocational higher education. Data were collected from 217 cadets at Surabaya Shipping Polytechnic who already took an internship as respondents using stratified cluster random technique.…
Descriptors: Foreign Countries, Intelligence Quotient, Emotional Intelligence, Religious Factors
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