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Meng-Hsun Lee; Eunice Eunhee Jang; Liam Hannah – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
As international students increasingly pursue higher education in English-dominant countries, developing their academic writing skills is crucial. However, limited access to individualized feedback remains a challenge. AI-driven tools and self-assessment offer promising solutions, making feedback more accessible. This study involved 50…
Descriptors: Foreign Countries, Graduate Students, English (Second Language), Foreign Students
Ceylan Gündeger Kilci – International Journal of Assessment Tools in Education, 2025
This study examined the psychometric quality of multiple-choice questions generated by two AI tools, ChatGPT and DeepSeek, within the context of an undergraduate Educational Measurement and Evaluation course. Guided by ten learning outcomes (LOs) aligned with Bloom's Taxonomy, each tool was prompted to generate one five-option multiple-choice item…
Descriptors: Psychometrics, Multiple Choice Tests, Artificial Intelligence, Natural Language Processing
Meena Jha; Amara Atif – Australasian Journal of Educational Technology, 2025
While higher education institutions have updated their policies and issued guidelines to support ethical use of generative artificial intelligence (GenAI), translating these into effective classroom practices remains a significant challenge. This study explores how educators in Australian higher education are taking GenAI into their teaching to…
Descriptors: Teaching Methods, Artificial Intelligence, Technology Uses in Education, Higher Education
Aoun, Joseph E.; Kosslyn, Stephen M. – Liberal Education, 2018
Technology is a catalyst that is reconfiguring every profession, from finance to medicine to media. Old verities about "useful" skills are disappearing into the cloud. Many students give the existential question "What do I want to be?" a simple response: "Employed." It is not obvious what skills that will require in a…
Descriptors: Artificial Intelligence, 21st Century Skills, Automation, Context Effect
Tabatabaee-Yazdi, Mona; Baghaei, Purya – Reading Matrix: An International Online Journal, 2018
In this study the cognitive correlates of reading comprehension in English as a foreign language were studied. The Cattell-Horn-Carroll model of cognitive abilities was used as the theoretical grounding for the study. We examined the relationship between fluid intelligence, crystallized intelligence, verbal analogical reasoning, and speed of…
Descriptors: Reading Comprehension, Second Language Learning, English (Second Language), Cognitive Ability
Benson, Nicholas F.; Kranzler, John H. – Journal of Psychoeducational Assessment, 2018
This study further examined the Gifted Rating Scales (GRS) at the internal and external stages of test validation by (a) testing structural fidelity as indicated by the number of factors supported as well as the correspondence of the latent factor structure with the scoring model proposed by the authors and (b) examining the external relations of…
Descriptors: Construct Validity, Rating Scales, Academically Gifted, Preschool Children
Minear, Meredith; Coane, Jennifer H.; Boland, Sarah C.; Cooney, Leah H.; Albat, Marissa – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The authors examined whether individual differences in fluid intelligence (gF) modulate the testing effect. Participants studied Swahili--English word pairs and repeatedly studied half the pairs or attempted retrieval, with feedback, for the remaining half. Word pairs were easy or difficult to learn. Overall, participants showed a benefit of…
Descriptors: Individual Differences, Intelligence, Information Retrieval, Testing
McGill, Ryan J.; Dombrowski, Stefan C. – Contemporary School Psychology, 2018
The factor structure of the 16 core and supplementary Cattell-Horn-Carroll (CHC) model subtests for the Kaufman Assessment Battery for Children-Second Edition (KABC-II; Kaufman and Kaufman, 2004a) standardization sample samples aged 7-18 (N = 2025) was examined using exploratory factor analytic techniques (EFA) not included in the KABC-II manual…
Descriptors: Factor Structure, Factor Analysis, Children, Intelligence Tests
Shamash, Rebecca – Berkeley Review of Education, 2018
This article addresses how the elite class in the United States is (re)produced by and through institutions of higher education, especially the most selective institutions. Through a review of critical, interdisciplinary research on socioeconomic inequality, elitism, and higher education, this paper begins with an overview of contemporary economic…
Descriptors: Higher Education, Social Class, Neoliberalism, Advantaged
Ohtani, Kazuhiro; Hisasaka, Tetsuya – Metacognition and Learning, 2018
This meta-analytic study estimated the correlations among metacognition, intelligence, and academic performance. Metacognition is higher order cognition and one of the most significant predictors of academic performance. The purpose of this study was to examine the degree to which metacognition predicted academic performance when controlling for…
Descriptors: Correlation, Metacognition, Intelligence, Academic Achievement
Philominraj, Andrew; Bertilla, Maria; Ramírez-Muñoz, Bruno; Fuentealba, Andrea – English Language Teaching, 2018
In today's globalized world the importance of English language is beyond discussion. The thrust and focus of all the existing English language teaching theories, approaches and methods is to enable teachers and learners attain optimum success in the teaching and learning of English language. In spite of using all these resources in teaching,…
Descriptors: Second Language Instruction, English (Second Language), Intelligence, Experience
National Association for Gifted Children, 2018
Comprehensive, individual intelligence tests can be invaluable when used as part of a multi-faceted approach to identify gifted and twice exceptional children. The Wechsler Intelligence Scale for Children (WISC) is a popular cognitive assessment for this purpose. This statement addresses guidelines for use of the WISC-V in the assessment of gifted…
Descriptors: Children, Intelligence Tests, Test Use, Academically Gifted
Stefan Ruseti; Mihai Dascalu; Amy M. Johnson; Danielle S. McNamara; Renu Balyan; Kathryn S. McCarthy; Stefan Trausan-Matu – Grantee Submission, 2018
Summarization enhances comprehension and is considered an effective strategy to promote and enhance learning and deep understanding of texts. However, summarization is seldom implemented by teachers in classrooms because the manual evaluation requires a lot of effort and time. Although the need for automated support is stringent, there are only a…
Descriptors: Documentation, Artificial Intelligence, Educational Technology, Writing (Composition)
Thomas, Christopher L.; Allen, Kristie – Journal of Further and Higher Education, 2021
Available evidence suggests that learners' level of emotional intelligence and academic buoyancy are associated with components of behavioural and emotional engagement. Recent work has provided preliminary evidence that the relationship between emotional intelligence and student engagement is mediated by academic buoyancy. Therefore, the current…
Descriptors: Learner Engagement, Emotional Intelligence, Academic Achievement, Coping
Al-Kaisi, Alisa N.; Arkhangelskaya, Alla L.; Rudenko-Morgun, Olga I. – Education and Information Technologies, 2021
Students learning a new language are aided by the use of a voice assistant when practicing speech, as it allows them to intensify their independent studies and master the elementary level of a foreign language. Moreover, the didactic potential of the Russian voice assistant "Alice" has hardly been studied in the context of teaching a…
Descriptors: Second Language Learning, Russian, Technology Uses in Education, Assistive Technology

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