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Alexandra Thrall; T. Philip Nichols; Kevin R. Magill – English Teaching: Practice and Critique, 2024
Purpose: The purpose of this study is to examine how young people imagine civic futures through speculative fiction writing about artificial intelligence (AI) technologies. The authors argue that young people's speculative fiction writing about AI not only helps make visible the ways they imagine the impacts of emerging technologies and the modes…
Descriptors: Artificial Intelligence, Information Technology, Futures (of Society), Fiction
Amy Stornaiuolo; Jennifer Higgs; Opal Jawale; Rhianne Mae Martin – English Teaching: Practice and Critique, 2024
Purpose: With the rapid advancement of generative artificial intelligence (AI), it is important to consider how young people are making sense of these tools in their everyday lives. Drawing on critical postdigital approaches to learning and literacy, this study aims to center the experiences and perspectives of young people who encounter and…
Descriptors: Artificial Intelligence, Digital Literacy, Writing (Composition), Positive Attitudes
Yuan Li – Interactive Learning Environments, 2024
The aim of this paper is to determine both the influence of musical compositions' genres on the students' musical literacy formed using artificial intelligence technologies and the musical literacy skills among music and non-music major students. Accordingly, the method of analysis was used to identify the most common musical genres in the Chinese…
Descriptors: Music Education, Majors (Students), Nonmajors, Folk Culture
Mohammed Airaj – Education and Information Technologies, 2024
This paper proposes a human-centered approach to using Artificial Intelligence (AI) in higher education that promotes equitable access to knowledge while preserving privacy and ethics. Through the lens of third-generation Activity Theory we examine the interaction between three activity systems in higher education: AI teachers, human teachers, and…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Higher Education
Jun Chen Hsieh – RELC Journal: A Journal of Language Teaching and Research, 2024
Despite the increasing attention to technology-enhanced language learning in English-as-a-foreign-language contexts, investigation regarding the effects of multimodal technologies on affective factors (particularly emotions and grit) in digital storytelling has remained underexplored. Therefore, this mixed-methods study reports on…
Descriptors: Multimedia Materials, Story Telling, Second Language Learning, English (Second Language)
Sohaib Alam; Balachandran Vadivel; Sameena Banu; Radman Jamalyar – Language Testing in Asia, 2024
Artificial intelligence (AI) and Intelligent Computer-Assisted Language Assessment (ICALA) are transforming the educational landscape by radically changing how lessons are taught and students are evaluated. As the masterminds behind the curriculum, it is critical to consider the emotional and mental health of teachers who applied ICALA as part of…
Descriptors: English (Second Language), Language Teachers, Computer Assisted Testing, Language Tests
Mohammad Ahmar Khan; Oysha Kurbonova; Diyorjon Abdullaev; A. Hussien Radie; Nirvana Basim – Language Testing in Asia, 2024
This study investigates the impact of artificial intelligence (AI)-assisted assessment on young L2 learners' vocabulary knowledge, immunity, and resilience, considering parental and teacher support roles. Sixty junior high school students in Afghanistan, aged 13 to 14, participated in the study. They were divided into an experimental group…
Descriptors: Artificial Intelligence, Resilience (Psychology), Vocabulary Development, Parent Participation
Mehmet Firat; Saniye Kuleli – Journal of Educational Technology and Online Learning, 2024
This research investigates the comparative effectiveness of the ChatGPT and the Google search engine in facilitating the self-learning of JavaScript functions among undergraduate open and distance learning students. The study employed a quasi-experimental post-test control group design to analyze the variables of disorientation, satisfaction,…
Descriptors: Comparative Analysis, Web Sites, Computer Software, Artificial Intelligence
Hyejeong Lee – ProQuest LLC, 2024
This dissertation explores the strategies of personalized learning through AI and its effectiveness, with a focus on third-grade mathematics education. The primary objective is to investigate how AI tools can tailor learning experiences to individual needs, particularly for students who struggle academically, and thereby help reduce educational…
Descriptors: Artificial Intelligence, Individualized Instruction, Instructional Effectiveness, Grade 3
Hong Jiao, Editor; Robert W. Lissitz, Editor – IAP - Information Age Publishing, Inc., 2024
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…
Descriptors: Artificial Intelligence, Natural Language Processing, Psychometrics, Computer Assisted Testing
Abdulrahman M. Al-Zahrani – Innovations in Education and Teaching International, 2024
This study explores the impact of Generative AI tools on researchers and research in the context of higher education in Saudi Arabia. An online survey questionnaire was used to collect data on higher education students' perspectives (N = 505). The findings indicate that participants hold positive attitudes and possess a high level of awareness…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, College Students
Diane Longhurst Johnson; Courtney Grant Davis – New Directions for Higher Education, 2024
The evolution of artificial intelligence (AI) technology offers promising solutions to underserved populations in the United States. AI tools can reduce college access and academic barriers for low-income students, first-generation college students, racial and ethnic minorities, individuals with disabilities, and students living in rural areas.…
Descriptors: Artificial Intelligence, College Students, Technology Uses in Education, Access to Education
Jiangyue Liu; Siran Li; Qianyan Dong – Journal of Educational Computing Research, 2024
The emergence of Generative Artificial Intelligence (GAI) has caused significant disruption to the traditional educational teaching ecosystem. GAI possesses remarkable capabilities in generating human-like text and boasts an extensive knowledge repository, thereby paving the way for potential collaboration with humans. However, current research on…
Descriptors: Artificial Intelligence, Learning Analytics, Computer Uses in Education, Instructional Design
Yilin Huang; Yifan Liu; Qiong Hu; Qiong Zhang – Journal of Attention Disorders, 2024
Objective: To examine the manifestation of cognitive control deficit of children with different levels of hyperactivity, an "at risk" dimension for ADHD. Method: A group of children with high hyperactivity (N = 40) and another group of children with low levels of hyperactivity (N = 38) performed a modified stop-signal anticipation task,…
Descriptors: Self Control, At Risk Persons, Attention Deficit Hyperactivity Disorder, Hyperactivity
Hye-Ja Park; Sun-Ki Kim; Soyoung Yu – SAGE Open, 2024
Online self-learning became widespread after the onset of the COVID-19 pandemic, and during this period, learners' self-leadership became an important measure of their competency. This study aims to verify the validity and reliability of the tool by translating the Abbreviated Self-Leadership Questionnaire (ASLQ) into Korean. Through web-based…
Descriptors: Nursing Education, Student Attitudes, Self Efficacy, Validity

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