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D'uana Revere – ProQuest LLC, 2022
The purpose of this quantitative correlational-predictive study was to examine if and to what extent educators' self-reported emotional intelligence components--perception of emotion, managing own emotions, managing other emotions, and the utilization of emotions--as measured by the Schutte Self-Report Emotional Intelligence Test, predicted their…
Descriptors: Emotional Intelligence, Self Efficacy, Child Care Centers, Early Childhood Teachers
Karabulut, Ridvan; Ömeroglu, Esra – International Journal of Curriculum and Instruction, 2021
The study aimed to develop a measure that enables gifted children to be picked out in early childhood through the nomination of teachers. In order to collect the data, a conceptual framework based on Gardner's theory of multiple intelligences was set to identify gifted children. Once the conceptual framework was created, a 64-item framework…
Descriptors: Test Validity, Test Reliability, Test Construction, Gifted
Jacqueline Corcoran; Malitta Engstrom; Kate Ledwith; Gerard Jefferies; Tamara J. Cadet – Journal of Teaching in Social Work, 2025
Competency-based education in social work (CSWE, 2022) demands active learning methods that demonstrate professional competencies and practice behaviors. Role-plays and simulations are methods that link learning in the classroom with practice. This article explores role-play and simulation variants: basic role-play, real play, student-scripted…
Descriptors: Role Playing, Simulation, Social Work, Competency Based Education
James W. Drisko – Journal of Teaching in Social Work, 2025
The rise of AI generated texts offers promise but creates new challenges for social work teaching. A recent survey found that 89% of higher education students used AI on their homework. AI generated text may be difficult to distinguish from a student's own work, yet are being submitted as the student's own work. This poses new challenges to…
Descriptors: Plagiarism, Social Work, Counselor Training, Artificial Intelligence
Peer reviewedZirong Chen; Ziyan An; Jennifer Reynolds; Kristin Mullen; Stephen Martini; Meiyi Ma – Grantee Submission, 2025
Emergency response services are critical to public safety, with 9-1-1 call-takers playing a key role in ensuring timely and effective emergency operations. To ensure call-taking performance consistency, quality assurance is implemented to evaluate and refine call-takers' skillsets. However, traditional human-led evaluations struggle with high call…
Descriptors: Emergency Programs, Automation, Artificial Intelligence, Safety
Xin Li; Wanqing Hu; Yanyan Li – Educational Technology Research and Development, 2025
Collaboration scripts are widely employed in online collaborative learning to enhance student engagement and facilitate collaboration. However, the optimal level of scripting remains a subject of debate. This study aims to address this issue by designing and developing different types of collaborative scripts implemented through conversational…
Descriptors: Artificial Intelligence, Scripts, Learner Engagement, Electronic Learning
Huiying Cai; Linmeng Lu; Bing Han; Lung-Hsiang Wong; Xiaoqing Gu – Educational Technology Research and Development, 2025
The potential of classroom videos to enhance reflective practices in pre-service teacher education is hindered by the sheer volume of captured activities. An AI-powered teacher dashboard could address this challenge by analyzing and visualizing information extracted from these videos, supporting reflection in video-based professional learning…
Descriptors: Preservice Teachers, Reflection, Artificial Intelligence, Technology Uses in Education
Erik Voss; Hansun Zhang Waring – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Significant advancements in voice chatbots have spurred interest into their role in second language learning (Conium, 2008), particularly their ability to assist in the development of learners' conversation skills in a target language. Many efforts have been made to explore AI's potential to act as conversation partners for language learners. Of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Man Machine Systems
Emmanuel Senior Tenakwah; Gideon Boadu; Emmanuel Junior Tenakwah; Michael Parzakonis; Mark Brady; Penny Kansiime; Shannon Said; Sarah Eyaa; Raymond Kwojori Ayilu; Ciprian Radavoi; Alan Berman – Knowledge Management & E-Learning, 2025
The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT's task responses to provide insights into its language proficiency, critical analysis…
Descriptors: Higher Education, Evaluation Methods, Artificial Intelligence, Computer Software
Andrada Costoiu – Reading Matrix: An International Online Journal, 2025
As artificial intelligence (AI) becomes embedded in daily life--from employment and education to healthcare and public services--AI literacy is emerging as both a civic competency and a human right. Yet second language learners, particularly from immigrant and marginalized communities, are often excluded from systems not designed for linguistic…
Descriptors: Artificial Intelligence, Digital Literacy, Civics, Civil Rights
Yangna Hu; Cindy Sing Bik Ngai; Sihui Chen – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study examines existing automatic screening methods for developmental language disorder (DLD), a neurodevelopmental language deficit without known biomedical etiologies, focusing on languages, data sets, extracted features, performance metrics, and classification methods. Additionally, it summarizes the strengths and weaknesses of…
Descriptors: Developmental Disabilities, Language Impairments, Automation, Screening Tests
Adeyinka Tella; Olutoyin Olukemi Oso; Shola Temitope Famuyiwa – Journal of Library & Information Services in Distance Learning, 2025
The study examined information delivery in distance learning libraries through metaverse technologies. The study adopted an exploratory strategy through an extensive literature analysis. Relevant academic papers, journals, industry reports, and conference proceedings located through internet databases such as Google Scholar, Scopus, and Web of…
Descriptors: Distance Education, Library Services, Computer Simulation, Artificial Intelligence
Michelle Cheong – Journal of Computer Assisted Learning, 2025
Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more 'Generative-AI-resistant' and to focus on assessing students on higher order…
Descriptors: Artificial Intelligence, Performance Based Assessment, Spreadsheets, Models
Kelsey Medeiros; David H. Cropley; Rebecca L. Marrone; Roni Reiter-Palmon – Journal of Creative Behavior, 2025
Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from "AI is creative" and towards a more balanced model of Human-AI co-creativity. Nevertheless, even this…
Descriptors: Man Machine Systems, Creativity, Artificial Intelligence, Models
Kimberlee K. C. Everson – Myers Education Press, 2025
In the changing realm of academic research, Generative Artificial Intelligence (AI) is a significant force, altering the way knowledge is pursued and understood. "Enhancing Doctoral Dissertations Ethically with AI: A Comprehensive Guide" serves as an indispensable guide for doctoral students and educators on the frontline of this shift,…
Descriptors: Doctoral Dissertations, Ethics, Artificial Intelligence, Computer Software

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