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Showing 1 to 15 of 53 results Save | Export
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Arantes, Janine Aldous; Vicars, Mark – Qualitative Research Journal, 2023
Purpose: The purpose of this paper is to examine how automation in the ever-changing technological landscape is increasing integrated into, and has become a significant presence in, our personal lives. Design/methodology/approach: Through post qualitative inquiry, the authors provide a contemplation of automation and its effect on creativity, as a…
Descriptors: Automation, Creativity, Computer Mediated Communication, Interaction
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Anderson Pinheiro Cavalcanti; Rafael Ferreira Mello; Dragan Gaševic; Fred Freitas – International Journal of Artificial Intelligence in Education, 2024
Educational feedback is a crucial factor in the student's learning journey, as through it, students are able to identify their areas of deficiencies and improve self-regulation. However, the literature shows that this is an area of great dissatisfaction, especially in higher education. Providing effective feedback becomes an increasingly…
Descriptors: Prediction, Feedback (Response), Artificial Intelligence, Automation
Jessy Hsieh – ProQuest LLC, 2024
This dissertation proposes a strategy, or set of decision-making principles, for the education of adults. It explores two related questions: What is the purpose of andragogy and why does this work matter? This philosophical inquiry is situated within a broader context of the automation of knowledge work. As advances in information and…
Descriptors: Adult Education, Andragogy, Decision Making, Information Technology
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Sha, Lele; Rakovic, Mladen; Lin, Jionghao; Guan, Quanlong; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Chen, Guanliang – IEEE Transactions on Learning Technologies, 2023
In online courses, discussion forums play a key role in enhancing student interaction with peers and instructors. Due to large enrolment sizes, instructors often struggle to respond to students in a timely manner. To address this problem, both traditional machine learning (ML) (e.g., Random Forest) and deep learning (DL) approaches have been…
Descriptors: Computer Mediated Communication, Discussion Groups, Artificial Intelligence, Intelligent Tutoring Systems
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Mohammed Muneerali Thottoli; Badria Hamed Alruqaishi; Arockiasamy Soosaimanickam – Contemporary Educational Technology, 2024
Purpose: Chatbots and artificial intelligence (AI) have the potential to alleviate some of the challenges faced by humans. Faculties frequently swamped with teaching and research may find it difficult to act in a parental role for students by offering them individualized advice. Hence, the primary purpose of this study is to review the literature…
Descriptors: Academic Advising, Artificial Intelligence, Technology Uses in Education, Role
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Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser – International Journal of Educational Technology in Higher Education, 2022
Automatic analysis of the myriad discussion messages in large online courses can support effective educator-learner interaction at scale. Robust classifiers are an essential foundation for the use of automatic analysis of cognitive presence in practice. This study reports on the application of a revised machine learning approach, which was…
Descriptors: MOOCs, Philosophy, Artificial Intelligence, Computer Mediated Communication
Austin, Christine K. – ProQuest LLC, 2023
The purpose of this study was to better understand how students use instantaneous automatic online feedback in introductory level tertiary mathematics courses and what factors may influence their use. This study delved into two factors such as a student's mathematical attitude and their self-determination and explores the relationship between the…
Descriptors: Introductory Courses, Mathematics Education, Student Attitudes, Student Motivation
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Sativa Thompson; Hayley Didriksen; Elise Swanson; Jennifer Ash – Society for Research on Educational Effectiveness, 2024
Background: Addressing chronic absenteeism is a policy priority, with 36 states and Washington D.C. referencing attendance in ESSA accountability plans (Jordan & Miller, 2017) and a body of research establishing the connections between attendance, achievement, and social development (e.g., Gottfried, 2014; Ginsburg, 2014). The need to find…
Descriptors: Rural Schools, Attendance Patterns, Automation, Costs
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Jennifer Ash – Grantee Submission, 2024
This How-To Guide is designed for school staff who want to implement a personalized messaging intervention to improve student attendance. During the 2022-23 and 2023-24 academic years, the National Center for Rural Education Research Networks (NCRERN) partnered with 47 rural districts in 16 states across the United States to pilot and test…
Descriptors: Attendance, Student Improvement, Intervention, Computer Mediated Communication
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Laura Lohman – Journal of Faculty Development, 2022
Cross-disciplinary manifestations of teaching and learning centers' traditional role in fostering community and connection among faculty are especially important amid decentralization and distributed work locations spurred by the COVID-19 pandemic. This article details practical applications of codeless workflow automation platforms to support…
Descriptors: Teacher Centers, Automation, Organizational Communication, Technology Uses in Education
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Su, Jiahong; Yang, Weipeng – ECNU Review of Education, 2023
Purpose: Artificial intelligence (AI) chatbots, such as ChatGPT and GPT-4, developed by OpenAI, have the potential to revolutionize education. This study explores the potential benefits and challenges of using ChatGPT in education (or "educative AI"). Design/Approach/Methods: This paper proposes a theoretical framework called…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Educational Technology
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Ahmad, Mubarik; Junus, Kasiyah; Santoso, Harry Budi – Education and Information Technologies, 2022
In recent years, the use of asynchronous discussion forums in online learning has increased rapidly. In earlier studies, content analysis is the most-used research method in exploring the discussion transcripts. However, conventional content analysis is a time-consuming task and requires experienced coders. There is a need for an automated…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Content Analysis, Automation
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Shuxin Tan; Young Woo Cho; Wensi Xu – Interactive Learning Environments, 2023
With the rapid advance in educational technology, electronic feedback (e-feedback) has found its way to EFL writing process. The aim of this study is to investigate the effects of three e-feedback modes, that is, automated written corrective feedback (AWCF), asynchronous computer-mediated communication (ACMC), and their combination on EFL…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Feedback (Response)
Monique H. Harrison; Philip A. Hernandez – Grantee Submission, 2022
The interview experience is only one component of the process of interviewing -- software programmes can coordinate the pre-interview steps and begin a digitally-mediated relationship with participants long before the actual interview commences. This essay provides examples of how researchers can maximise their time and energy by digitally…
Descriptors: College Freshmen, Interviews, Computer Uses in Education, Computer Software
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Neto, Valter; Rolim, Vitor; Pinheiro, Anderson; Lins, Rafael Dueire; Gasevic, Dragan; Mello, Rafael Ferreira – IEEE Transactions on Learning Technologies, 2021
This article investigates the impact of educational contexts on automatic classification of online discussion messages according to cognitive presence, an essential construct of the community of inquiry model. In particular, the work reported in the article analyzed online discussion messages written in Brazilian Portuguese from two different…
Descriptors: Foreign Countries, Computer Mediated Communication, Discussion, Content Analysis
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