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Showing 1 to 15 of 140 results Save | Export
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Rayed AlGhamdi – Education and Information Technologies, 2024
This research investigates the impact of ChatGPT-generated feedback on the writing skills of first-year computing students at a Saudi University. Employing a qualitative research design, the study involved 111 male students, blinded to the switch from human to ChatGPT-generated feedback, ensuring unbiased reflections on their experiences. Over six…
Descriptors: Artificial Intelligence, Feedback (Response), Technical Writing, Writing Skills
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Jesús Pérez; Eladio Dapena; Jose Aguilar – Education and Information Technologies, 2024
In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Reinforcement, Difficulty Level
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Wei Xu; Le-Ying Yang; Xiao Liu; Pin-Nv Jin – Education and Information Technologies, 2024
Teacher feedback is the key to online collaborative discussion. To investigate the effects of different forms of teacher feedback intervention on learners' cognitive and emotional interactions in online collaborative discussion, this study collected collaborative discussion text data of online collaborative learners. Based on the framework of…
Descriptors: Feedback (Response), Teacher Student Relationship, Communities of Practice, Cooperative Learning
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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
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Boutefara, Tarek; Mahdaoui, Latifa; Ghomari, Abdessamed Réda – Education and Information Technologies, 2022
A personal annotation is a rich object with an important cognitive facet. In the e-Learning context, learners' annotation can contain important emotional features. These features can be used to recognize the learner's emotional state during the learning session; very important feedback that has been lost in e-Learning mode in comparison to…
Descriptors: Color, Emotional Response, Psychological Patterns, Cognitive Processes
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Sa'ar Karp Gershon; Ella Anghel; Giora Alexandron – Education and Information Technologies, 2024
For Massive Open Online Courses to have trustworthy credentials, assessments in these courses must be valid, reliable, and fair. Item Response Theory provides a robust approach to evaluating these properties. However, for this theory to be applicable, certain properties of the assessment items should be met, among them that item difficulties are…
Descriptors: MOOCs, Item Response Theory, Physics, Advanced Placement Programs
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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
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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
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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
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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
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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
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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
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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)
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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
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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
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