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Akiyo Hirai; Angelina Kovalyova – Language Learning & Technology, 2024
Speech-to-text applications have great potential for helping students with English language comprehension and pronunciation practice. This study explores the functionality of five speech-to-text (STT) applications (Google Docs voice typing tool, Apple Dictation, Windows 10 Dictation, Dictation.io [a website service], and "Transcribe" [an…
Descriptors: Assistive Technology, English Language Learners, English (Second Language), Articulation (Speech)
Lin Wu – Journal of Autism and Developmental Disorders, 2024
The rapid development of social reform and the economy has brought great challenges to the mental health of college students. However, there are few studies on the impact of these psychological problems on college students' English learning. As a special group about to enter society, studying the mental health of college students in foreign…
Descriptors: Second Language Learning, Student Adjustment, Mental Health, Artificial Intelligence
Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
Shiyan Jiang; Jeanne McClure; Cansu Tatar; Franziska Bickel; Carolyn P. Rosé; Jie Chao – British Journal of Educational Technology, 2024
This study addresses the need for inclusive AI education by focusing on marginalized female students who historically lack access to learning opportunities in computing. It applies the theoretical framework of intersectionality to understand how gender, race and ethnicity intersect to shape these students' learning experiences and outcomes.…
Descriptors: Artificial Intelligence, Computer Uses in Education, Inclusion, Disproportionate Representation
Songhee Han; Min Liu – Educational Technology & Society, 2024
This paper describes our equity-driven development of a chatbot curriculum for a journalism professional development center's massive open online courses (MOOCs). A curriculum refers to entire student experiences that occur during the whole learning process in this context. We used a sequential and iterative development process with four phases to…
Descriptors: Computer Software, Artificial Intelligence, MOOCs, Journalism
Karolína Dockalová Burská; Jakub Rudolf Mlynárik; Radek Ošlejšek – Education and Information Technologies, 2024
In cyber security education, hands-on training is a common type of exercise to help raise awareness and competence, and improve students' cybersecurity skills. To be able to measure the impact of the design of the particular courses, the designers need methods that can reveal hidden patterns in trainee behavior. However, the support of the…
Descriptors: Computer Science Education, Information Security, Computer Security, Training Methods
Melissa A. Otero – ProQuest LLC, 2024
With the advent of ChatGPT and other artificial intelligence (AI) tools, students have a new instrument that can create writing samples for them, making it easy to violate academic integrity. A constructivist grounded theory multiple-case study was conducted to address faculty perceptions of ChatGPT as a tool for learning and teaching instead of a…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Cheating
Preyadarshini Panday-Shukla – ProQuest LLC, 2024
This dissertation consists of two separate studies exploring current and emerging technologies for education. The current technology is presented in the first study as an open educational resource (OER) for language learning. This study explored the affordances of OERs for language by comparing a traditional textbook and an OER web-book in terms…
Descriptors: Educational Technology, Open Educational Resources, Language Acquisition, Computer Assisted Instruction
Amato Nocera; Victoria Newton; Shiyan Jiang – Theory and Research in Social Education, 2024
This article investigates students' engagement with a historical inquiry into redlining--a practice of discriminatory lending that originated in the 1930s as part of the New Deal. The authors developed and implemented a week-long curricular intervention for high school sophomores using StoryQ--an Artificial Intelligence (AI) textual modeling…
Descriptors: Urban Schools, Charter Schools, High School Students, Artificial Intelligence
D. V. D. S. Abeysinghe; M. S. D. Fernando – IAFOR Journal of Education, 2024
"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…
Descriptors: Models, At Risk Students, Mentors, Undergraduate Students
Lei Du; Beibei Lv – Education and Information Technologies, 2024
This research examines the influence of integrating generative artificial intelligence (GAI) in education, focusing on its acceptance and utilization among elementary education students. Grounded in the Task-Technology Fit (TTF) Theory and an expanded iteration of the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study…
Descriptors: Influences, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Hao-Yue Jin; Maria Cutumisu – Education and Information Technologies, 2024
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first century. Thus, it is believed that the integration of deeper learning in CT education is an approach to help students transfer their CT skills beyond the classroom. Few literature reviews have mapped…
Descriptors: Computation, Thinking Skills, Problem Solving, Artificial Intelligence
Musa Saimon; Fredrick Mtenzi; Zsolt Lavicza; Kristóf Fenyvesi; Maik Arnold; José Manuel Diego-Mantecón – Education and Information Technologies, 2024
The 6E Learning by Design (LbD) model can enhance student teachers' development of competence for integrating technologies in the classrooms including Artificial Intelligence (AI). However, teacher educators rarely use the 6E LbD model in supporting and encouraging student teachers to integrate AI applications in their classrooms effectively. To…
Descriptors: Student Teachers, Teacher Educators, Artificial Intelligence, Technology Integration
Ebenezer Bamfo Aidoo; Ronald Osei Mensah; Bernice Oteng – Cogent Education, 2024
This study sought to determine how tutors within the College of Education (CoE) scope at Ada, and in Accra, both townships in the Greater Accra Region, react to emotional intelligence and marital satisfaction. An expressive survey research design was used in the study to gather data from 96 married tutors, utilising structured questionnaires and…
Descriptors: Marital Satisfaction, Tutors, Foreign Countries, Emotional Intelligence
Sainee Tamphu; Imam Suyitno; Gatut Susanto; Nia Budiana; M. Rais Salim; Nurhikmah; Wilda Purnawati – Cogent Education, 2024
Artificial intelligence (AI) has transformed education by enhancing personalization and learning efficiency. However, the application of AI in addressing its challenges and potential remains suboptimal. This study aims to provide a bibliometric analysis of AI in Education research, focusing on publications from 2017 to 2023 sourced from…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Educational Change

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