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Ye Zhang; Mo Wang; Jinlong He; Niantong Li; Yupeng Zhou; Haoxia Huang; Dunbo Cai; Minghao Yin – IEEE Transactions on Learning Technologies, 2024
Diagnosing aesthetic perception plays a crucial role in deepening our understanding of student creativity, emotional expression, and the pursuit of lifelong learning within art education. This task encompasses the evaluation and analysis of students' sensitivity, preference, and capacity to perceive and appreciate beauty across different sensory…
Descriptors: Aesthetics, Creativity, Emotional Response, Lifelong Learning
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Samantha R. Goldman; Adam Carreon; Sean J. Smith – Journal of Special Education Technology, 2024
Editing and revising is a necessary, yet complex, stage of the writing process that is challenging for students with and without disabilities. One solution to improve overall writing outcomes is with strategy instruction, such as the Strategic Instruction Model for writing. More specifically, strategies such as the Error Monitoring Strategy, that…
Descriptors: Editing, Revision (Written Composition), Writing Strategies, Alignment (Education)
Annabelle Tam-Ha Lolinco – ProQuest LLC, 2024
Scientific literacy is an increasingly important skill for today and tomorrow's citizens. Encapsulated in the definition of being scientifically literate, one must be knowledgeable about science and technology in context and be able to interpret and communicate the information well. Introductory science courses, like general chemistry, are key…
Descriptors: Chemistry, Science Instruction, Scientific Literacy, Introductory Courses
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Li Cheng; Ethan Croteau; Sami Baral; Cristina Heffernan; Neil Heffernan – Journal of Educational Computing Research, 2024
Chatbots represent a promising technology for engaging students in math learning. Guided by Jerome Bruner's constructivism and Lev Vygotsky's Zone of Proximal Development, we designed and developed a chatbot that incorporates scaffolding strategies and social-emotional considerations, and we integrated it into ASSISTments, an online math learning…
Descriptors: Artificial Intelligence, Learning Management Systems, Teaching Methods, Mathematics Instruction
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Victoria Olubola Adeyele; Umesh Ramnarain – International Journal of Technology in Education, 2024
ChatGPT, an AI-powered service known for its effective delivery of information and solutions, has the potential to transform education, scientific problem-solving, and student learning. However, to fully harness its advantages, understanding the pedagogical approach needed is essential. This study explores teachers' awareness of ChatGPT and the…
Descriptors: Technology Integration, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Ebba Ossiannilsson; Rosa Leonor Ulloa Cazarez; Claire Goode; Chadia Mansour; Cristine Martins Gomes De Gusmão – Open Praxis, 2024
Artificial intelligence (AI) has recently been gaining ground, particularly since November 2022, with the introduction of generative tools based on natural language processing and neural network algorithms. These kinds of tools have great potential for creators and users of Open Educational Resources (OER) and the Open Movement itself but they…
Descriptors: Artificial Intelligence, Open Educational Resources, Curriculum Implementation, Technology Uses in Education
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Areej ElSayary – Journal of Computer Assisted Learning, 2024
Background: The widespread use of information and communication technology (ICT) has led to significant changes in societal aspects, resulting in the emergence of a "knowledge society." However, students and teachers have faced challenges in adapting to this digitalization. In the United Arab Emirates (UAE), transitioning to a…
Descriptors: Teacher Attitudes, Artificial Intelligence, Information Technology, Barriers
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Shunan Zhang; Xiangying Zhao; Dongyan Nan; Jang Hyun Kim – International Journal of Educational Technology in Higher Education, 2024
Prior research has explored the impact of diverse anthropomorphic interventions on the effectiveness of AI (artificial intelligence) instructors. However, the exploration of interpersonal communication skills (e.g., self-disclosure) as anthropomorphic conversational cues for AI instructors is rare. Considering the positive impact of the…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Computer Mediated Communication
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Miaomiao Liu; Yixun Li; Yongqiang Su; Hong Li – Scientific Studies of Reading, 2024
Purpose: This study sought to 1) identify linguistic features important for Chinese text complexity with a theory-based and systematic approach, and 2) address how feature sets and algorithms affect the performance of Chinese text complexity models. Method: Texts from Chinese language arts textbooks from Grades 1 to 6 (N = 1,478) in Mainland China…
Descriptors: Difficulty Level, Textbooks, Algorithms, Artificial Intelligence
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Nur Banu Yigit; Elif Güvelioglu; Feyza Tantekin Erden – Online Submission, 2024
The rise in online professional development (PD) opportunities for teachers, accelerated by the COVID-19 pandemic, necessitates an examination of the effectiveness of these online PD programs and the design elements that best enhance teachers' knowledge. This review synthesizes findings from nine studies that systematically investigate…
Descriptors: Faculty Development, Electronic Learning, Instructional Effectiveness, Artificial Intelligence
Ariel Han – ProQuest LLC, 2024
The dissertation consists of three studies that are the process of designing, developing, and evaluating generative-AI-powered story-authoring platforms for children. The first study focuses on the formative study on how stakeholders in education (i.e., teachers, parents, and students) perceive and leverage generative AI platforms (i.e., ChatGPT…
Descriptors: Artificial Intelligence, Literacy Education, Writing Instruction, Authors
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Rami F. Mustafa – Higher Education Studies, 2024
Academic writing courses are critical in higher education. However, they often rely on directive measures, or "shoves," that impose rigid guidelines, high-stakes assessments, and punitive consequences. These approaches, such as inflexible deadlines and harsh grading penalties, can increase student anxiety, disengagement, and surface…
Descriptors: Writing Instruction, Academic Language, Direct Instruction, High Stakes Tests
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Ghadeer Sawalha; Imran Taj; Abdulhadi Shoufan – Cogent Education, 2024
Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…
Descriptors: Cues, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Surya Bahadur G. C.; Pooja Bhandari; Santosh Kumar Gurung; Ekta Srivastava; Deepak Ojha; Bharat Ram Dhungana – Cogent Education, 2024
This study examined factors influencing students' intention to use ChatGPT using UTAUT2 model. The cross-sectional study is based on responses collected from 578 students selected through convenience sampling at a university in Nepal through a structured questionnaire. Using PLS-SEM, the study found that habit ([beta] = 0.315, p < 0.001),…
Descriptors: Social Influences, Value Judgment, Habit Formation, Intention
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Sandra Leaton Gray; Mutlu Cukurova – Cogent Education, 2024
Debates surrounding the use of data science in educational AI are frequently rather entrenched, revolving around commercial models and talk of teacher replacement. This article explores the potential for digital textual analysis within humanities and social science education, advocating for a sociologically-driven approach that complements, rather…
Descriptors: Humanities, Social Sciences, Social Science Research, Research Methodology
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