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Melissa Fortner; Iva Katzarska-Miller – Teaching of Psychology, 2025
Introduction: Recent advancements in generative AI (GAI) platforms appear to mark an abrupt shift in higher education. Statement of the Problem: Instructors have a responsibility to teach students to use GAI, which is a promising tool for promoting personalized, student-centered, process-focused learning environments. Literature Review: Drawing on…
Descriptors: Artificial Intelligence, Majors (Students), Computer Software, Student Centered Learning
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Ted K. Mburu; Kangxuan Rong; Campbell J. McColley; Alexandra Werth – Journal of Engineering Education, 2025
Background: This study investigates the use of large language models to create adaptive, contextually relevant survey questions, aiming to enhance data quality in educational research without limiting scalability. Purpose: We provide step-by-step methods to develop a dynamic survey instrument, driven by artificial intelligence (AI), and introduce…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Computational Linguistics
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Weiting Yuan – Studies in Applied Linguistics & TESOL, 2025
Few studies have considered the micro-analysis of written laughter in the digital world in its sequential context (beyond frequency and distribution). The present study fills this gap by examining "transcribed" laughter "[Chinese symbols omitted](haha)" in Chinese conversations on WeChat from a conversation analytic…
Descriptors: Computer Software, Computer Mediated Communication, Chinese, Orthographic Symbols
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Preet Chandan Kaur; Leena Ragha – Education and Information Technologies, 2025
Video summarization is a method of deducing the content of video content for generating a summary in video format. The generated summary should have the significant segments of raw video. Recently, the content of video has been rapidly increasing, thus automatic video summarization is beneficial for individuals who want to keep time and learn more…
Descriptors: Semantics, Video Technology, Audio Equipment, Linguistic Input
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Amelia M. Arria; Christina E. Parisi; Brittany A. Bugbee; Kathryn B. Vincent – Journal of American College Health, 2025
Objective: Academic assistance professionals work with college students to address barriers to academic success, although few assessment tools exist. This feasibility study examined the results of implementing a computerized tool for academic assistance professionals to help students. The Measure of Obstacles to Succeeding Academically in College…
Descriptors: Academic Achievement, Barriers, Risk Assessment, Academic Support Services
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Yimin Ning; Wenjun Zhang; Dengming Yao; Bowen Fang; Binyan Xu; Tommy Tanu Wijaya – Education and Information Technologies, 2025
The integration of AI in education highlights the significance of Teachers' AI Literacy (TAIL). Existing assessment tools, however, are hindered by incomplete indicators and a lack of practicality for large-scale application, necessitating a more systematic and credible evaluation method. This study is based on a systematic literature review and…
Descriptors: Artificial Intelligence, Rating Scales, Technological Literacy, Factor Analysis
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Liz Jackson; Alexander M. Sidorkin; Petar Jandric; Eamon Costello; Jessica A. Heybach; Heather Greenhalgh-Spencer; Kathy Hytten; Lesley Gourlay; Rachel Buchanan; Marek Tesar – Educational Philosophy and Theory, 2025
Today lively debates are unfolding about artificial intelligence (Jackson, 2024; Peters et al., 2024; Sidorkin, 2024). Despite these debates, the topic remains undertheorized (Gourlay, 2024) in relation to various matters pertaining to its use, benefits, risks, and implications. As argued in a recent editorial for this journal (2024), it is…
Descriptors: Artificial Intelligence, Computer Software, Risk, Technology Integration
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Nopparat Klayklueng; Pinanta Chatwattana – International Education Studies, 2025
The architecture of the service platform via AI chatbots is a research tool which was fabricated to specifically promote digital competency through the use of AI chatbots. The architecture of the service platform herein was initiated by the application of artificial intelligence technology integrated with chatbot technology to create the user…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Management Systems
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Afeez Jinadu; Eugenia Okwilagwe – International Journal of Research in Education and Science, 2025
The study investigated the structural equation modelling of nine variables consisting of research undertaking, digi-tech construct (digital nativity, category of adoption of digital technologies, digital literacy, digital citizenship, statistical software anxiety, self-efficacy and knowledge) and researcher statistical software skills in the…
Descriptors: Statistical Analysis, Computer Software, Structural Equation Models, Foreign Countries
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Carolyn Fitzpatrick – Journal of Faculty Development, 2025
In the rapidly evolving landscape of higher education, the clarity, measurability, and alignment of course objectives are more critical than ever. Effective course design hinges on well-defined learning objectives that guide both instruction and assessment. However, creating these objectives can be a daunting task for faculty, especially when…
Descriptors: Educational Change, Educational Objectives, Higher Education, Alignment (Education)
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Xing Hu; Wen Gong – Education and Information Technologies, 2025
Amid the growing interest in generative AI technologies like ChatGPT for educational purposes, this research seeks to better understand Chinese EFL learners' acceptance and usage of them for L2 writing purposes. This study conducts an investigation by establishing a structural equation model that incorporates the Technology Acceptance Model (TAM)…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Integration
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Ahmad D. Suleiman; Daqing Hou; Yu Liu; Jan DeWaters; David C. Shepherd; Juliana G. De Souza – ACM Transactions on Computing Education, 2025
In recent years, there has been a rise in recognition of the need for computing education to bridge the gap between academia and industry. In addition, educational researchers are also interested in increasing student engagement by grounding learning experiences in real-life concerns, community issues, or personal interests. Unfortunately,…
Descriptors: Computer Science Education, Higher Education, Active Learning, Student Projects
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Ioannis Papadopoulos – Computers in the Schools, 2025
In this paper the potentiality of meaning generation in a constructionist environment through an interplay between problem solving and problem posing is examined. The meaning-making process is examined by following how a Grade-10 student is engaged in an iterative cycle of reformulating and solving the initial problem within a Logo-based…
Descriptors: Problem Solving, Concept Formation, Comprehension, Grade 10
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Miras, Adolfo; Cota, Agustín; Martín, Domingo – Education Sciences, 2022
This paper describes a digital application designed for learning Space Groups of Symmetry (SGS). It teaches how to recognize the operations performed by the symmetry elements, both point (or 2D) operators (proper and improper rotations, including mirroring, inversion, and other rotoinversions), and space (or 3D) operators (screw axes and glide…
Descriptors: Educational Technology, Geometric Concepts, Computer Software, Science Instruction
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Kumar, Bimal Aklesh; Sharma, Bibhya; Nakagawa, Elisa Yumi – Education and Information Technologies, 2022
Context-aware mobile learning applications provide learning materials to suit the needs of individual learners. Despite several applications developed, there is a lack of architectural support for developing these applications. This has resulted in a number of challenges; lack of standardization, poor quality of developed applications, and…
Descriptors: Computer Software, Telecommunications, Handheld Devices, Standards
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