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Katia Ciampa; Zora Wolfe; Meagan Hensley – Technology, Pedagogy and Education, 2025
This study explores the role of artificial intelligence (AI) in K-12 student assessment practices, focusing on educators' use of AI tools. Through content analysis of active Facebook groups dedicated to AI in education, the authors examined how educators integrate AI into assessment across various grade levels and subjects. Using the Technology…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Kindergarten
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Al Enezi, Dalal F.; Al Fadley, Anam A.; Al Enezi, Ebrahim G. – International Education Studies, 2022
The research and data aim to (a) examine instructors' evaluation of Microsoft Teams as reflected in their teaching at the Public Authority for Applied Education and Training (PAAET) and (b) identify significant correlation between three determinants of the Technology Acceptance Model: perceived usefulness (PU), perceived ease of use (PEOU), and…
Descriptors: Teacher Attitudes, Computer Mediated Communication, Computer Software, Usability
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Bearman, Margaret; Lambert, Sarah; O'Donnell, Marcus – Higher Education Research and Development, 2021
In online education, learning design has a significant role in mediating student experience. Centralised approaches to learning design provide students with a coherent teaching approach across online units but little is known about their impact on the student. Understanding the influence of these overarching learning design features may be a…
Descriptors: Instructional Design, Online Courses, Instructional Materials, Student Experience
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Chenglu Li; Wanli Xing; Walter Leite – British Journal of Educational Technology, 2022
A discussion forum is a valuable tool to support student learning in online contexts. However, interactions in online discussion forums are sparse, leading to other issues such as low engagement and dropping out. Recent educational studies have examined the affordances of conversational agents (CA) powered by artificial intelligence (AI) to…
Descriptors: Computer Mediated Communication, Group Discussion, Artificial Intelligence, Safety
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Sha, Lele; Rakovic, Mladen; Li, Yuheng; Whitelock-Wainwright, Alexander; Carroll, David; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2021
Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…
Descriptors: Classification, Computer Mediated Communication, Learning Analytics, Data Analysis
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Yamnitsky, Eugene – Innovations in Education and Teaching International, 2023
The doctoral journey is a complex endeavour, and like any complex project, deserves to be managed accordingly. Agile Project Management has been used successfully by practitioners in the Software industry for the last two decades and recently is being adopted in other industries, including in Higher Education. Based on the author's personal…
Descriptors: Doctoral Programs, Computer Software, Industry, Higher Education
Chenglu Li; Wanli Xing; Walter Leite – Grantee Submission, 2022
A discussion forum is a valuable tool to support student learning in online contexts. However, interactions in online discussion forums are sparse, leading to other issues such as low engagement and dropping out. Recent educational studies have examined the affordances of conversational agents (CA) powered by artificial intelligence (AI) to…
Descriptors: Social Responsibility, Computer Mediated Communication, Group Discussion, Artificial Intelligence
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Farrow, Elaine; Moore, Johanna D.; Gaševic, Dragan – Journal of Learning Analytics, 2022
By participating in asynchronous course discussion forums, students can work together to refine their ideas and construct knowledge collaboratively. Typically, some messages simply repeat or paraphrase course content, while others bring in new material, demonstrate reasoning, integrate concepts, and develop solutions. Through the messages they…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Group Discussion, Learning Analytics
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Han Luo; Pan Gao – Computer Assisted Language Learning, 2024
This study reports on the results of a semester-long Chinese-American telecollaborative exchange via WeChat, in which students from China and the U.S. shared thematically similar songs in their respective languages and discussed relevant cultural topics that were suggested by the students. Various types of qualitative data collected from the…
Descriptors: Computer Mediated Communication, Intercultural Communication, Computer Software, Group Discussion
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Dolawattha, D. D. M.; Premadasa, H. K. S. – International Journal of Information and Communication Technology Education, 2021
In this study, the authors are concerned about influencing factors on mobile learning tools for the applicable and sustainable mobile learning environment. The authors proposed an impact model with five influencing factors namely usefulness, interactivity, motivation, facilitating conditions, and ease of use. The 60 students and 60 teachers in…
Descriptors: Telecommunications, Handheld Devices, Higher Education, Models
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McGowan, Ian S. – International Association for Development of the Information Society, 2020
Upto now, the knowledge building influence of the fundamental communicative functions during an on-line collaborative learning (OLCL) session, i.e. argumentative, responsive, elicitative, informative and imperative have been mainly based on results from qualitative studies, results that could have been strengthened by quantitative approaches.…
Descriptors: Higher Education, Online Courses, Cooperative Learning, Computer Science Education
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Wang, Qi; Zhang, Ning; Ma, Wulin – SAGE Open, 2023
This paper is designed to explore the current status of Chinese EFL teachers' use of digital resources in doing research and its influential factors. It classifies digital resources into six types aligned to the research process and uses the revised TAM to find out and explain its influential factors. A total of 180 teachers were investigated via…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Teachers
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Srisakonsub, Phatthranit; Jeerungsuwan, Namon; Piriyasurawong, Pallop – Higher Education Studies, 2019
The purposes of this study were: 1) to design a model of student relation management system on cloud technology for academic and internship counseling in Rajabhat University and 2) to assess a model of student relation management system on cloud technology for academic and internship counseling in Rajabhat University. The research methods were of…
Descriptors: Computer Software, Management Systems, Universities, Internship Programs
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Ortlieb, Evan; McDowell, Aly; Stewart, Olivia G.; Preschern, Jennifer; Carhart, Dona E. – Journal of College Academic Support Programs, 2020
With the growing number of online students, universities must provide support for students in developmental education to engage, collaborate, and co-construct their learning in socially dynamic ways. Online learning communities provide spaces for students to identify with others, communicate openly and candidly, and develop professional…
Descriptors: Models, Communities of Practice, Online Courses, Student Needs
Reima Al-Jarf – Online Submission, 2024
Multimodal learning refers to teaching strategies that involve multiple sensory systems simultaneously. Teachers can create materials for students with different learning styles (auditory, visual, kinesthetic reading, and writing). Multimodal learning keeps students engaged, encourages them to apply what they learn in real-life situations,…
Descriptors: Grammar, Multimedia Instruction, Problem Solving, Student Projects
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