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Kristin Cook; Jordyn Gerdes; Kevin Thomas – AILACTE Journal, 2025
The purpose of this study is to highlight pre-service teacher student feedback on AI to help inform programs, policies, and coursework within the School of Education. An undergraduate student advisory board designed and conducted a survey collecting Education majors' perspectives on the usage of AI in both university courses and in the K-12 field…
Descriptors: Preservice Teachers, Feedback (Response), Artificial Intelligence, Schools of Education
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Eric C. K. Cheng – International Journal for Lesson and Learning Studies, 2025
Purpose: This study investigates the integration of generative AI within the Lesson Study framework in secondary science education, examining its potential to enhance pedagogical development and professional learning outcomes. Design/methodology/approach: A case study was conducted in a high school in Hong Kong, following four science teachers…
Descriptors: Artificial Intelligence, Technology Uses in Education, Communities of Practice, Secondary School Teachers
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Smedsrud, Jørgen; Nordahl-Hansen, Anders; Idsøe, Ella Maria; Ulvund, Stein Erik; Idsøe, Thormod; Lang-Ree, Ole Christian – Scandinavian Journal of Educational Research, 2019
Research regarding highly intelligent adolescents in Scandinavia is scarce. We know little about highly intelligent adolescents' experiences with the school-system and how they experience their social relationships and relationships with their teachers. We used survey and test data from approximately 16,000 respondents from the Norwegian Armed…
Descriptors: Mathematics Achievement, Intelligence, Interpersonal Relationship, Teacher Student Relationship
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Li, Liping; Wu, Xinchun; Cheng, Yahua; Nguyen, Thi Phuong – Journal of Research in Reading, 2019
Background: The aim of this longitudinal study was to examine the relationship between character reading and spelling and to explore the role of reading-related skills in Chinese literacy. Methods: A test battery that included measures of morphological awareness (homophone awareness and compound word awareness), orthographic awareness, rapid…
Descriptors: Correlation, Reading Processes, Chinese, Spelling
Patti, Janet A.; Stern, Robin S. – Harvard Education Press, 2023
A handbook that helps educational leaders hone the social and emotional skills essential to promoting positive school culture and navigating their complex jobs. In this profoundly useful work, Janet Patti and Robin Stern make the case for social-emotional learning (SEL) as part of a critical skill set for K-12 school leaders, and they offer…
Descriptors: Emotional Intelligence, Social Emotional Learning, Elementary Secondary Education, Leadership Styles
Sebesta, Judith; Davis, Van L. – WICHE Cooperative for Educational Technologies (WCET), 2023
Artificial Intelligence (AI) in general poses numerous challenges for educators and students alike, such as academic integrity, lack of knowledge and training, misinformation, and implementation costs. However, AI also presents opportunities to support equity and access, increased efficiency, new understandings of (and urgency around) digital…
Descriptors: Artificial Intelligence, Educational Technology, Postsecondary Education, Technology Integration
Brizard, Jean-Claude – Digital Promise, 2023
Talladega County Schools (TCBOE) spans 760 square miles and serves about 7,000 learners, 71 percent of whom receive free and reduced-priced meals. It also is a member of the League of Innovative Schools, a network of forward-looking school districts that have declared their commitment to improving and advancing equitable outcomes for students…
Descriptors: Educational Innovation, Educational Technology, Scaling, Student Centered Learning
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Gál, Éva; Tóth-Király, István; Szamosközi, István; Orosz, Gábor – Journal of College Student Retention: Research, Theory & Practice, 2023
The present research, by using cross-sectional (Study 1, N = 413) and daily diary methods (Study 2, N = 95) aimed to investigate the way intelligence mindset influences students' self-esteem and emotional experiences when they are confronting academic adversities (i.e., failures and difficulties). Although fixed intelligence mindset showed no…
Descriptors: Intelligence, Self Esteem, Correlation, Emotional Response
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Hockly, Nicky – RELC Journal: A Journal of Language Teaching and Research, 2023
The use of educational technologies in English language teaching (ELT) has become widely accepted in the post-pandemic era, and, for better or worse, some of these technologies rely on artificial intelligence (AI). As an area of technological growth and increasing financial investment, we are likely to see more AI-driven technologies in teaching…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, English Language Learners
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Baskara, Risang; Mukarto – Indonesian Journal of English Language Teaching and Applied Linguistics, 2023
Recent developments in natural language processing have led to the creation of large language models, such as ChatGPT, which could generate human-like text. In this paper, we explore the potential implications of ChatGPT for language learning in higher education. We first provide an overview of ChatGPT and discuss its capabilities and limitations.…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, Teaching Methods
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Ebert, Philip A.; Morreau, Michael – Journal of Adventure Education and Outdoor Learning, 2023
Avalanche studies have undergone a transition in recent years. Early research focused mainly on environmental factors. More recently, attention has turned to human factors in decision making, such as behavioural and cognitive biases. This article adds a "social" component to this human turn in avalanche studies. It identifies lessons for…
Descriptors: Natural Disasters, Risk Management, Vignettes, Outdoor Education
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Gulson, Kalervo N.; Webb, P. Taylor – Discourse: Studies in the Cultural Politics of Education, 2023
Research on Artificial Intelligence, especially in the field of machine learning, has exploded in the twenty-first century. AI research in universities has long been funded by a combination of government and corporate sources. The funding of AI research in the contemporary university includes technology companies as both funders and generators of…
Descriptors: Foreign Countries, Artificial Intelligence, Data Science, Universities
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Wiedbusch, Megan; Lester, James; Azevedo, Roger – Metacognition and Learning, 2023
Pedagogical agents have been designed to support the significant challenges that learners face when self-regulating in advanced learning environments. Evidence suggests differences in learners' prior skills and abilities, in conjunction with excessive didactic support, can cause overreliance on these external aids, which in turn prevents deeper…
Descriptors: Measurement Techniques, Metacognition, Learning Processes, Nonverbal Communication
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Kuznetsova, Maria; Gura, Dmitry; Vorona-Slivinskaya, Lubov – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The main purpose is to study the experience of using virtual team building as a means of forming educational and research teams in the context of the development of online education and its effect among students and teachers of higher educational institutions. Background: Methods ensuring effective engagement of students in learning…
Descriptors: Cooperative Learning, Artificial Intelligence, Teamwork, Online Courses
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Cunningham, Samuel; Laundon, Melinda; Cathcart, Abby; Bashar, Md Abul; Nayak, Richi – Assessment & Evaluation in Higher Education, 2023
Student evaluation of teaching (SET) surveys are the most widely used tool for collecting higher education student feedback to inform academic quality improvement, promotion and recruitment processes. Malicious and abusive student comments in SET surveys have the potential to harm the wellbeing and career prospects of academics. Despite much…
Descriptors: Student Evaluation of Teacher Performance, Written Language, Antisocial Behavior, Language Usage
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