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Nhat Tran; Benjamin Pierce; Diane Litman; Richard Correnti; Lindsay Clare Matsumura – International Educational Data Mining Society, 2024
Automatically assessing classroom discussion quality is becoming increasingly feasible with the help of new NLP advancements such as large language models (LLMs). In this work, we examine how the assessment performance of 2 LLMs interacts with 3 factors that may affect performance: task formulation, context length, and few-shot examples. We also…
Descriptors: Artificial Intelligence, Technology Uses in Education, Discussion (Teaching Technique), Language Arts
Chad P. Salyer – Online Submission, 2024
Artificial intelligence was an emergent and powerful new force in education. The public release of ChatGPT 3.0 in 2022 transformed learning for many students. This phenomenological qualitative study sought to record and analyze student's perspectives on the influence of artificial intelligence on their learning routines. This study collected data…
Descriptors: Artificial Intelligence, Student Attitudes, Technology Uses in Education, Undergraduate Students
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Sajida Bhanu Panwale; Selvaraj Vijayakumar – International Review of Research in Open and Distributed Learning, 2025
This study aimed to evaluate the utility of artificial intelligence (AI) in improving the persuasive communication skills of online Master of Business Administration (MBA) students. In particular, this study investigated the influence of personalization through AI using the Google Gemini platform on conventional and online instructional…
Descriptors: Distance Education, Artificial Intelligence, Computer Software, Individualized Instruction
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Lili Yan; Breanne K. Litts; Melissa Tehee; Stuart Baggaley; Jennifer Jenkins – British Journal of Educational Technology, 2025
Although education is framed as a future-oriented enterprise, we often fail to serve the diverse futurities of youth, particularly in formal learning environments. The cultural norms of formal learning environments are rooted in dominant ways of being and knowing and this shapes how learning environments and learning technologies can be designed.…
Descriptors: Student Projects, Cultural Awareness, Multimedia Materials, Design
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Qian Huangfu; Qianmei He; Sisi Luo; Weilin Huang; Yahua Yang – Journal of Computer Assisted Learning, 2025
Background: Video lectures which include the teachers' presence have become increasingly common. As teacher enthusiasm is a nonverbal cue in video lectures, more and more studies are focusing on this topic. However, little research has been carried out on the interactions between teacher enthusiasm and prior knowledge when learning from video…
Descriptors: Chemistry, Science Instruction, Teacher Student Relationship, Teacher Response
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Angelica Ronconi; Lucia Mason; Lucia Manzione; Anne Schüler – Journal of Computer Assisted Learning, 2025
Background: During digital reading on internet-connected devices, students may be exposed to a variety of on-screen distractions. Learning by reading can therefore become a fragmented experience with potentially negative consequences for reading processes and outcomes. Objectives: This study investigated the effects of on-screen distractions, as…
Descriptors: Eye Movements, Electronic Learning, Computer Uses in Education, Reading
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Hannah Soong; Sue Nichols; Karen Dooley; Michelle M. Neumann – Journal of Children and Media, 2025
Children's social lives are mediated increasingly by digital tools, thereby making new modes of home-school-world relationships possible. In this context, children's digital out-of-school social practices continue to be associated with risk. Children are construed as an "at risk" and vulnerable population by adults who frame children's…
Descriptors: Foreign Countries, Social Life, At Risk Persons, Influence of Technology
OECD Publishing, 2025
The policy perspective examines how schools can address students' mental, emotional, social, and digital challenges by forming partnerships with external actors and community resources. Drawing on information about education policies collected by the OECD in 2022, it explores the prevalence, structure, and effectiveness of cross-sectoral…
Descriptors: Partnerships in Education, Well Being, Mental Health, Interpersonal Relationship
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Rukthin Laoha; Wichittra Chomthong; Weerapa Pongpanich – Higher Education Studies, 2025
The integration of Artificial Intelligence (AI) into English as a Foreign Language (EFL) education has transformed teaching practices, necessitating a re-evaluation of teacher competencies in the digital age. This systematic review examines the intersection of AI technologies and EFL teachers' competencies, exploring how AI tools influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Instruction, English (Second Language)
Zhirkova, Zoya S.; Kornilova, Alla G.; Amanbaeva, Lyudmila I.; Kornilov, Iurii V.; Unarova, Lyubov D. – Journal of Educational Psychology - Propositos y Representaciones, 2020
Currently, education is considered as a multidimensional and comprehensive process of personality formation. Among other things, it contributes to the development of basic abilities such as critical thinking, problem solving ability, networking, adaptability, and initiative. Learning is continuous and widely accessible, both with regard to…
Descriptors: Educational Change, Information Technology, Geographic Regions, Teaching Methods
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Setyawan, Agung; Aznam, Nurfina; Paidi; Citrawati, Tyasmiarni – Journal of Technology and Science Education, 2020
Problem Based Learning (PBL) and guided inquiry learning model develops intellectual ability as part of mental process. The purpose of this research is to know the difference of scientific communication ability between students who learn to use PBL model and guided inquiry, and to know whether there is influence the use of technology through PBL…
Descriptors: Problem Based Learning, Technology Uses in Education, Inquiry, Active Learning
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Natow, Rebecca S.; Reddy, Vikash; Grant, Markeisha – Community College Journal of Research and Practice, 2020
As community colleges increasingly integrate technology into developmental education, it becomes important to understand how technology is used in these programs, what challenges institutions have encountered relating to technology, and what considerations institutional leaders take into account when deciding whether and how to integrate…
Descriptors: Technology Uses in Education, Remedial Instruction, Integrated Learning Systems, Educational Technology
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Robinson, Anthony – Online Journal of Distance Learning Administration, 2020
Online learning has changed higher education, emerging as a primary source for delivering courses and programs to students. As online learning has grown, more non-traditional students have entered college, many for the first time. Consequently, many of these non-traditional are experiencing online learning, and the technologies that deliver them,…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Student Attitudes
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Bardakci, Salih; Ünver, Tugba Kocadag – Australian Educational Computing, 2020
This study aimed at investigating teachers' Interactive White Boards (IWB) integration in the margin of psychological model of technophobia (Brosnan, 1998). The data were collected by a questionnaire including nine open-ended questions and demographics. The study was conducted in qualitative approach. 80 teachers participated from different…
Descriptors: Educational Technology, Visual Aids, Computer Attitudes, Technology Uses in Education
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Arya, Poonam; Christ, Tanya; Wu, Wen – Journal of Education and Learning, 2020
This study explored the patterns of Technological Pedagogical and Content Knowledge (TPACK) in 45 preservice teachers' literacy lesson plans that integrated digital texts or tools. A priori coding and content analysis were used to identify preservice teachers' demonstrations of combinations of TPACK constructs. Findings indicated that preservice…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Preservice Teachers, Literacy Education
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