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Mehmet Dönmez – International Journal of Assessment Tools in Education, 2024
This bibliometric analysis offers a comprehensive examination of AIbased feedback tools in education, utilizing data retrieved from the Web of Science (WoS) database. Encompassing a total of 239 articles from an expansive timeframe, spanning from inception to February 2024, this study provides a thorough overview of the evolution and current state…
Descriptors: Artificial Intelligence, Feedback (Response), Technology Uses in Education, Individualized Instruction
Nikkia W. Franklin – ProQuest LLC, 2024
This phenomenological dissertation in practice explored the transformative impression of artificial intelligence (AI) on the academic achievement of historically excluded learners within post-secondary education. This research, reinforced by feedback intervention theory, systems theory, and the theory of academic optimism and student achievement…
Descriptors: Minority Group Students, Artificial Intelligence, Writing (Composition), Student Attitudes
Pekka Isotalus; Marja Eklund; Karoliina Karppinen – Communication Teacher, 2025
Traditionally, feedback is regarded as crucial in the context of learning and teaching public speaking. In the current course, we analyzed the feedback provided to students by an artificial intelligence (AI) coach and students' learning experiences in developing public-speaking skills via this tool. The MySpeaker Rhetorich speech coach application…
Descriptors: Artificial Intelligence, Public Speaking, Feedback (Response), Teaching Methods
Mimi Li – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This paper discusses the increasingly prominent role of ChatGPT in providing feedback and assessment for L2 writing in the digital age. It reviews representative studies that address five research strands about the use of ChatGPT in L2 writing contexts. After a critical evaluation of the existing literature, the author extensively explains four…
Descriptors: Second Language Learning, Feedback (Response), Evaluation, Artificial Intelligence
Jorge Gaona; Silvia Soledad López; Elizabeth Montoya-Delgadillo – International Journal of Mathematical Education in Science and Technology, 2024
In this paper we studied the personal mathematical work of 14 students in initial teacher training, in their first year of studies at a public university in Chile, based on two tasks on complex numbers. These tasks were set in a Computer Aided Assessment System (CAA) based on Moodle and Wiris and it was proposed to solve them using different…
Descriptors: Preservice Teacher Education, Preservice Teachers, Numbers, Educational Technology
Khaled ElEbyary; Ramy Shabara – Teaching English with Technology, 2024
Although some published studies have challenged the importance and efficacy of written corrective feedback (WCF), ESL/EFL tutors continue to value its practice and provide WCF to their students in spite of their time and workload constraints. The development of various automated-feedback applications over the last few years contributed to our…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Feedback (Response)
Jenny L. Richmond; Kate Nicholls – Teaching of Psychology, 2025
Background: With the arrival of generative artificial intelligence (genAI) tools, psychology educators are rethinking their assessment practices. Objective: This paper describes one approach to integrating genAI into an assessment designed to promote psychological literacy. Method: Students used ChatGPT to generate a media release about a…
Descriptors: Artificial Intelligence, Scoring Rubrics, Computer Software, Learning Processes
Barrot, Jessie Saraza – RELC Journal: A Journal of Language Teaching and Research, 2022
Given the recent technological advancements and the critical role that grammar plays in students' writing development, several digital tools that provide computer-mediated corrective feedback have emerged. One such tool is Grammarly, which identifies duplicate content and errors in grammar, vocabulary, mechanics, and language style. This tech…
Descriptors: English (Second Language), Second Language Learning, Computer Software, Grammar
Svetlana Koltovskaia – ReCALL, 2023
Although it has been suggested that automated writing evaluation (AWE) can liberate teachers' time to focus more on higher-order concerns as it can take care of lower-order concerns, AWE's impact on teachers' feedback practice is underexplored. Additionally, scant literature exists on teachers' perception of AWE when they use it to complement…
Descriptors: College Faculty, English (Second Language), Language Teachers, Writing Teachers
Maria Fahlgren; Mats Brunström – International Journal of Mathematical Education in Science and Technology, 2025
This paper provides some insights into the use of example-generating tasks in the design of a technology-rich learning environment to enhance students' mathematical thinking. The paper reports on an early stage of a design-based research project concerning the design of tasks and associated feedback utilising the affordances provided by a combined…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Computer Software
Murat Polat; Ibrahim Hakan Karatas; Nurgün Varol – Leadership and Policy in Schools, 2025
The incorporation of artificial intelligence (AI) into educational management offers personalized learning, adaptive tutoring, and efficient resource management. However, ethical considerations such as fairness, transparency, accountability, and privacy are crucial. This paper reviews literature and conducts a bibliometric analysis on ethical AI…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Leadership
Michael Pin-Chuan Lin; Daniel H. Chang; Philip H. Winne – Educational Technology Research and Development, 2025
A chatbot is artificial intelligence software that converses with a user in natural language. It can be instrumental in mitigating teaching workloads by coaching or answering student inquiries. To understand student-chatbot interactions, this study is engineered to optimize student learning experience and instructional design. In this study, we…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Computer Mediated Communication
Tamilla Mammadova – International Technology and Education Journal, 2023
The paper examines the degree of digitalization of Academic Writing and Information Literacy (hereafter AW & IL) course in the countries of the post-Soviet era. Numerous research demonstrated that digital transformation has taken place toward the teaching of AW & IL in most of the developed countries and beyond, yet little is studied about…
Descriptors: Academic Language, Information Literacy, Foreign Countries, College Faculty
Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
Heon Jeon; Sarah DeCapua – Journal of Response to Writing, 2024
Giving feedback to student writing is one of the writing teacher's most important tasks in the classroom. Writing teachers can use many forms of feedback, such as written feedback, teacher-student conferencing, peer feedback, or self-assessment. Additionally, the influx of technologies into writing classrooms allows teachers to use screencast…
Descriptors: Feedback (Response), Video Technology, Technology Uses in Education, Visual Aids