Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 17 |
Since 2016 (last 10 years) | 26 |
Since 2006 (last 20 years) | 46 |
Descriptor
Source
Author
Publication Type
Journal Articles | 60 |
Reports - Research | 27 |
Reports - Descriptive | 26 |
Reports - Evaluative | 4 |
Information Analyses | 2 |
Opinion Papers | 2 |
Tests/Questionnaires | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 18 |
Postsecondary Education | 11 |
Elementary Secondary Education | 2 |
Adult Education | 1 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Media Staff | 4 |
Location
Australia | 2 |
China | 2 |
Taiwan | 2 |
Brazil | 1 |
Canada | 1 |
Colombia | 1 |
Dominican Republic | 1 |
Florida | 1 |
Hong Kong | 1 |
Iowa | 1 |
Italy | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
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
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
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
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
Niki Chatzipanagiotou; Anita Mirijamdotter; Christina Mörtberg – Learning Organization, 2025
Purpose: This paper aims to focus on academic library managers' learning practices in the context of cooperative work supported by computational artefacts. Academic library managers' everyday work is mainly cooperative. Their cooperation is supported predominantly by computational artefacts. Learning how to use the computational artefacts…
Descriptors: Foreign Countries, Research Libraries, Librarians, Cooperative Planning
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
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
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
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
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)
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
Lv, Xiaoxuan; Ren, Wei; Xie, Yue – Asia-Pacific Education Researcher, 2021
Online feedback is frequently implemented during second/foreign language (SL/FL) writing tasks and assessments. This meta-analysis investigates the effectiveness of online feedback in SL/FL writing. After careful screening and the application of inclusion and exclusion criteria, this study synthesizes the results of 17 primary studies reporting on…
Descriptors: English (Second Language), Second Language Instruction, Feedback (Response), Computer Mediated Communication
Hunt, Pihel; Leijen, Äli; van der Schaaf, Marieke – Education Sciences, 2021
While there is now extensive research on feedback in the context of higher education, including pre-service teacher education, little has been reported regarding the use of feedback from teachers to other teachers. Moreover, literature on the potential advantages that the use of technology, for example electronic portfolios and learning analytics,…
Descriptors: Teacher Attitudes, Teacher Evaluation, Peer Evaluation, Feedback (Response)
Shang, Hui-Fang – Interactive Learning Environments, 2022
Previous studies have been done to research the effects of different electronic feedback (e-feedback) modes of helping English as a foreign language (EFL) students improve their writing. The purpose of this study was to employ online peer feedback (OPF) and automated corrective feedback (ACF) to assess EFL learners' writing performance in the…
Descriptors: Computer Mediated Communication, Peer Evaluation, Feedback (Response), Automation
Kazim, Emre; Koshiyama, Adriano Soares; Hilliard, Airlie; Polle, Roseline – Journal of Intelligence, 2021
Business psychologists study and assess relevant individual differences, such as intelligence and personality, in the context of work. Such studies have informed the development of artificial intelligence systems (AI) designed to measure individual differences. This has been capitalized on by companies who have developed AI-driven recruitment…
Descriptors: Psychology, Individual Differences, Artificial Intelligence, Intelligence