Publication Date
In 2025 | 20 |
Since 2024 | 58 |
Since 2021 (last 5 years) | 90 |
Since 2016 (last 10 years) | 120 |
Since 2006 (last 20 years) | 122 |
Descriptor
Source
Education and Information… | 122 |
Author
Xu Li | 3 |
Dan Dou | 2 |
Di Zou | 2 |
Fan Ouyang | 2 |
Wee Hoe Tan | 2 |
Zhang, Ruofei | 2 |
Zou, Di | 2 |
Abeer S. Almogren | 1 |
Achuthan, Krishnashree | 1 |
Adanir, Gülgün Afacan | 1 |
Adile Askim Kurt | 1 |
More ▼ |
Publication Type
Journal Articles | 122 |
Reports - Research | 112 |
Information Analyses | 9 |
Tests/Questionnaires | 7 |
Reports - Evaluative | 3 |
Reports - Descriptive | 1 |
Education Level
Audience
Administrators | 1 |
Policymakers | 1 |
Teachers | 1 |
Location
China | 9 |
India | 2 |
Iran | 2 |
Singapore | 2 |
United Arab Emirates | 2 |
Vietnam | 2 |
Australia | 1 |
Denmark | 1 |
Europe | 1 |
Finland | 1 |
Germany | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
International English… | 2 |
Myers Briggs Type Indicator | 1 |
What Works Clearinghouse Rating
Long Zhang; Khe Foon Hew – Education and Information Technologies, 2025
Although self-regulated learning (SRL) plays an important role in supporting online learning performance, the lack of student self-regulation skills poses a persistent problem to many educators. Recommender systems have the potential to promote SRL by delivering personalized feedback and tailoring learning strategies to meet individual learners'…
Descriptors: Independent Study, Electronic Learning, Online Courses, Artificial Intelligence
Mathias Mejeh; Livia Sarbach; Tina Hascher – Education and Information Technologies, 2024
Lifelong learning is emerging as a key priority for promoting equity and sustainability in societies. Self-regulated learning (SRL) is a fundamental requirement for achieving successful lifelong learning, and digitization is increasingly influential in this regard. This mixed-methods study explores the degree to which adaptive learning technology…
Descriptors: Feedback (Response), Independent Study, Lifelong Learning, Electronic Learning
Thoriq Tri Prabowo; Jirarat Sitthiworachart; Kanyarat Sriwisathiyakun – Education and Information Technologies, 2025
Learning activities, which blend digital storytelling with peer assessment, foster the development of crucial digital skills. They require students to engage in writing, information gathering, utilizing technology tools, synthesizing information, and providing constructive feedback on their peers' work. This study developed and used digital…
Descriptors: Foreign Countries, Higher Education, Peer Evaluation, Story Telling
Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
Stefano Cacciamani; Vittore Perrucci; Ahmad Khanlari; Giulia Balboni – Education and Information Technologies, 2024
The Sense of Community, as an important construct that supports students' participation and deep learning, has two dimensions: Social Community and Learning Community. Peer feedback is an instructional strategy employed in higher education to encourage students to assume an active role in their learning activity. The present study investigates the…
Descriptors: Sense of Community, Feedback (Response), Peer Evaluation, Blended Learning
Shanshan Shang; Yufei Li; Xiaoyue You – Education and Information Technologies, 2024
Under the tenet of framing and regulatory theory, this study undertakes a comprehensive examination of the impacts of task-oriented and self-oriented teacher developmental feedback on learning outcomes, considering the moderation roles of timeliness and regulatory focus, and compares the effects between competitive and the noncompetitive…
Descriptors: Feedback (Response), Competition, Electronic Learning, Self Efficacy
Lanqin Zheng; Yunchao Fan; Bodong Chen; Zichen Huang; LeiGao; Miaolang Long – Education and Information Technologies, 2024
Online collaborative learning has been broadly applied in higher education. However, learners face many challenges in collaborating with one another and coregulating their learning, leading to low group performance. To address the gaps, this study proposed an artificial intelligence (AI)-enabled feedback and feedforward approach that not only…
Descriptors: Artificial Intelligence, Feedback (Response), Electronic Learning, Cooperative Learning
Valdemar Švábenský; Jan Vykopal; Pavel Celeda; Ján Dovjak – Education and Information Technologies, 2024
Computer-supported learning technologies are essential for conducting hands-on cybersecurity training. These technologies create environments that emulate a realistic IT infrastructure for the training. Within the environment, training participants use various software tools to perform offensive or defensive actions. Usage of these tools generates…
Descriptors: Computer Security, Information Security, Training, Feedback (Response)
Emmanuel Fokides; Eirini Peristeraki – Education and Information Technologies, 2025
This research analyzed the efficacy of ChatGPT as a tool for the correction and provision of feedback on primary school students' short essays written in both the English and Greek languages. The accuracy and qualitative aspects of ChatGPT-generated corrections and feedback were compared to that of educators. For the essays written in English, it…
Descriptors: Artificial Intelligence, Error Correction, Feedback (Response), Elementary School Students
Mengke Wang; Taotao Long; Na Li; Yawen Shi; Zengzhao Chen – Education and Information Technologies, 2025
Feedback plays an indispensable role in pre-service teachers' microteaching practice. It provides essential information about their microteaching performance, which is of great significance in their reflection and improvement. As AI and teaching analytics advance, feedback is no longer exclusively human-generated. AI technologies are increasingly…
Descriptors: Feedback (Response), Preservice Teachers, Microteaching, Reflection
Liu, Lei; Luo, Yanyang; Yin, NaJia – Education and Information Technologies, 2023
Despite emerging use of review replying function in online course eWOM, little attention has been paid to its role. The lack of theoretical researches and contradictory views have caused great inconsistencies in practice. The research designed two studies to explore the impact of review replying. Based on real data crawled, study 1 explored the…
Descriptors: Online Courses, Computer Mediated Communication, Student Satisfaction, Course Evaluation
Gwo-Jen Hwang; Hsin Huang; Hui-Yun Chen – Education and Information Technologies, 2025
Enhancing students' civic literacy is considered an essential educational goal in the 21st century. Therefore, in the teaching process, how to provide students with opportunities to solve problems and how to provide immediate feedback to help students make correct decisions when facing real problems are important and challenging issues. Digital…
Descriptors: Civics, Positive Attitudes, Learning Processes, Behavior
Han Zhang; Jamie Costley; Matthew Courtney; Galina Shulgina; Mik Fanguy – Education and Information Technologies, 2025
Depending on the nature of comments made during peer review of academic writing, students may be able to evaluate and revise their performance. Therefore, it is essential to explore how the content of comments affects student writing. Since peer review is a process of interaction, it is critical to understand how comments affect student academic…
Descriptors: Graduate Students, Content Area Writing, Academic Language, Feedback (Response)
Chia-Ju Lin; Hsin-Yu Lee; Wei-Sheng Wang; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2025
With the promotion of STEM education and active practice, experiential learning has become a crucial instructional design strategy. Experiential learning emphasizes a student-centered learning model, encouraging students to explore unknown fields through individual and team collaborative efforts. Through practical activities, it promotes active…
Descriptors: STEM Education, Experiential Learning, Student Centered Learning, Artificial Intelligence
Anna Koufakou – Education and Information Technologies, 2024
Student opinions for a course are important to educators and administrators, regardless of the type of the course or the institution. Reading and manually analyzing open-ended feedback becomes infeasible for massive volumes of comments at institution level or online forums. In this paper, we collected and pre-processed a large number of course…
Descriptors: Learning, Opinions, Student Attitudes, Natural Language Processing