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Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – Grantee Submission, 2024
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
Patel, Nilesh Kumar – International Journal of Evaluation and Research in Education, 2018
This study aimed at finding out the effect of Integrated feedback on Classroom climate of secondary school teachers. This research is experimental in nature. Non-equivalent control group design suggested by Stanley and Campbell (1963) was used for the experiment. Integrated feedback was treatment and independent variable, Classroom climate was…
Descriptors: Feedback (Response), Classroom Environment, Secondary School Teachers, Control Groups
Romeo, Rachel R.; Leonard, Julia A.; Scherer, Ethan; Robinson, Sydney; Takada, Megumi; Mackey, Allyson P.; West, Martin R.; Gabrieli, John D. E. – Journal of Research on Educational Effectiveness, 2021
Childhood socioeconomic status (SES) is associated with persistent academic achievement gaps, which necessitates evidence-based, scalable interventions to improve children's outcomes. The present study reports results from a replication and extension of a family-based training program previously found to improve cognitive development in lower-SES…
Descriptors: Family Programs, Low Income Groups, Preschool Children, Child Development
Javier Muñoz-Basols, Editor; Mara Fuertes Gutiérrez, Editor; Luis Cerezo, Editor – Multilingual Matters, 2025
This volume offers a rich overview of current research and teaching strategies for the integration of technology into language teaching and learning. It introduces the Planning, Personalization and Implementation (PPI) methodological framework to support educators in engaging with the theoretical foundations and innovative practices that should…
Descriptors: Social Media, Artificial Intelligence, Second Language Instruction, Second Language Learning
Ali Alqarni – Journal of Computer Assisted Learning, 2025
Background: Critical thinking is essential in modern education, and artificial intelligence (AI) offers new possibilities for enhancing it. However, the lack of validated tools to assess teachers' AI-integrated pedagogical skills remains a challenge. Objectives: The current study aimed to develop and validate the Artificial Intelligence-Critical…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Construction, Test Validity
Yuxiao Xie; Ziyi Xie; Siyu Chen; Lei Shen; Zhizhuang Duan – Education and Information Technologies, 2025
The National College English Test Band 4 (CET-4) is a key test to assess the English language ability of Chinese university students, and the success rate of the test is important to improve the quality of their English learning. Artificial intelligence technology can be used to predict and explore the factors influencing the success rate. This…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Second Language Instruction
Xiaohua Liu – Asia-Pacific Education Researcher, 2025
The surge of generative AI (GenAI) tools on the internet has caused unprecedented disruptions to education, and there are growing concerns about them being misused by students to commit plagiarism, hence jeopardizing assessment validity. Despite the foreseeable challenges, it remains unclear how frontline language teachers perceive and react to…
Descriptors: Teacher Attitudes, Artificial Intelligence, Computer Software, Technology Uses in Education
Delfi Eliza; Trisna Mulyeni; Yulsyofriend; Nenny Mahyuddin; Yeni Erita; Muhammad Dhanil – Journal of Baltic Science Education, 2025
Improving scientific literacy is crucial for early childhood development, yet limited studies necessitate a thorough analysis to identify effective solutions. This study aims to analyze the implementation of project-based learning in early childhood education to improve scientific literacy. The study followed the identification, screening,…
Descriptors: Scientific Literacy, Early Childhood Education, Active Learning, Student Projects
Eleonora Barelli; Michael Lodi; Laura Branchetti; Olivia Levrini – Science & Education, 2025
In a historical moment in which Artificial Intelligence and machine learning have become within everyone's reach, science education needs to find new ways to foster "AI literacy." Since the AI revolution is not only a matter of having introduced extremely performant tools but has been determining a radical change in how we conceive and…
Descriptors: Artificial Intelligence, Science Education, Cognitive Development, Cultural Influences
Kathleen J. Kennedy; Jill M. Castek – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This study examined how discourses surrounding Generative artificial intelligence (GenAI) tools in K-12 English language arts (ELA) classrooms construct relationships between teachers, students, and digital platforms. Drawing upon critical literacy theory and teaching as a sociocultural practice, researchers analyzed qualitative data from 10…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Empowerment, Elementary Secondary Education
Joel Weijia Lai; Wei Qiu; Maung Thway; Lei Zhang; Nurabidah Binti Jamil; Chit Lin Su; Samuel S. H. Ng; Fun Siong Lim – Journal of Learning Analytics, 2025
The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…
Descriptors: Artificial Intelligence, Computer Software, Learning Analytics, Introductory Courses
Jerry Huang; Atsushi Mizumoto – Education and Information Technologies, 2025
This study aimed to examine the effect of incorporating the generative pre-trained AI chatbot, ChatGPT, into an instructor-led writing class on the motivation of Japanese university students. This study examines changes in students' Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience using Dörnyei's L2 Motivational Self System (L2MSS)…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Technology Uses in Education
Arindam Chakrabarty; Anil Kumar Singh – Journal of Research in Innovative Teaching & Learning, 2025
Purpose: India has been withstanding increasing pressure of enrolment in the higher education system, resulting in the creation of new universities in consonance with the recommendations of the Knowledge Commission (2007). Barring a few institutions of paramount excellence, the mushrooming universities fail to conform to equitability of quality…
Descriptors: Higher Education, Enrollment Rate, Universities, Educational Quality
Saeid Sharifi; Fatemeh Khoshnevisan – Journal of Applied Research in Higher Education, 2025
Purpose: The present study aimed recognition sociocultural competencies in social entrepreneurship of higher education. Design/methodology/approach: The study employed a qualitative content analysis technique. In order to identify and select information-rich cases, a semi-structured interview was conducted with 22 experts among the social…
Descriptors: Entrepreneurship, Cultural Context, Social Environment, Competence

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