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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
Anthemis Raptopoulou – European Journal of Education, 2025
Recent advancements in Artificial Intelligence (AI), particularly AI chatbots like ChatGPT, have sparked significant discussions in higher education regarding their impact on teaching and academic integrity. This study examines the integration of ChatGPT into a philosophy of education course for first-year Education students at a Swedish…
Descriptors: Artificial Intelligence, Computer Software, Undergraduate Students, Literacy Education
Fu, Eugene Yujun; Ngai, Grace; Leong, Hong Va; Chan, Stephen C. F.; Shek, Daniel T. L. – Education and Information Technologies, 2023
As a high-impact educational practice, service-learning has demonstrated success in positively influencing students' overall development, and much work has been done on investigating student learning outcomes from service-learning. A particular direction is to model students' learning outcomes in the context of their learning experience, i.e., the…
Descriptors: Service Learning, Prediction, Outcomes of Education, Artificial Intelligence
Minhong Wang – Knowledge Management & E-Learning, 2024
Learning is an integral part of being human. How people learn has long been discussed, revealed in many learning theories, investigated in numerous studies, and demonstrated in extensive practices. The goal of this article is to rethink how people learn from four fundamental perspectives, that is, learning by interaction with content (C), learning…
Descriptors: Learning Processes, Instructional Design, Learning Experience, Teaching Methods
Hajar Majjate; Youssra Bellarhmouch; Adil Jeghal; Ali Yahyaouy; Hamid Tairi; Khalid Alaoui Zidani – Education and Information Technologies, 2025
In recent times, there has been a growing interest in enhancing recommendation systems for e-learning platforms to deliver a personalised learning experience that meets each learner's distinct requirements and preferences. Nevertheless, it is crucial to recognise the ethical considerations surrounding this technology, as it heavily relies on…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Student Attitudes
Rim Gouia-Zarrad; Cindy Gunn – International Electronic Journal of Mathematics Education, 2024
This research paper explores the integration of ChatGPT as a tool for interactive learning of numerical methods in a differential equations (DEs) course. DE course is crucial for engineering students to model real-world phenomena. However, many DE courses focus only on analytical solutions and neglect important numerical solutions. To overcome…
Descriptors: Learning Experience, Teaching Methods, Artificial Intelligence, Computer Software
Joel Weijia Lai; Wei Qiu; Maung Thway; Lei Zhang; Nurabidah Binti Jamil; Chit Lin Su; Samuel S. H. Ng; Fun Siong Lim – Journal of Learning Analytics, 2025
The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…
Descriptors: Artificial Intelligence, Computer Software, Learning Analytics, Introductory Courses
Demuth, Katherine; Johnson, Mark – First Language, 2020
Exemplar-based learning requires: (1) a segmentation procedure for identifying the units of past experiences that a present experience can be compared to, and (2) a similarity function for comparing these past experiences to the present experience. This article argues that for a learner to learn a language these two mechanisms will require…
Descriptors: Comparative Analysis, Language Acquisition, Linguistic Theory, Grammar
Huang, Wanju – TechTrends: Linking Research and Practice to Improve Learning, 2023
A design case is a form of scholarly writing in which the author embarks on a reflective journey sharing rich descriptions of their design, design processes, challenges, etc. This paper presents two design cases that demonstrate how learning theories and instructional design concepts were purposefully incorporated in two instructional applications…
Descriptors: Learning Processes, Instructional Design, Learning Theories, Artificial Intelligence
Yasemin Karal; Rabia Özdemir Sarialioglu – International Journal of Technology in Education, 2025
The transformative impact of generative artificial intelligence (GenAI) on educational environments has led higher education institutions to make radical changes in their curricula and teaching approaches. By integrating GenAI technologies into the educational process, students will be able to have rich learning experiences. However, students'…
Descriptors: Metacognition, Anxiety, Student Attitudes, Rating Scales
Bander Ayed Allogmany – ProQuest LLC, 2023
Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…
Descriptors: Individualized Instruction, Learning Management Systems, Artificial Intelligence, Technology Uses in Education
Panagiotis Panagiotidis – European Journal of Education (EJED), 2024
Efforts to utilize AI in education, and especially in language education, have their roots in the 60s with the appearance of the first rule-based systems. However, recent advances in Artificial Intelligence (AI) and more specifically the introduction of ChatGPT, have given a new perspective to language learning. The integration of AI, natural…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Second Language Learning
Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
Tai Trong Bui; Son Truong Nguyen – Online Submission, 2023
This study addresses a gap in the literature regarding the implementation of digital strategies in educational institutions, particularly universities. Despite significant advancements in the development of digital strategies, there remains a lack of commitment and vision for their effective implementation. This study systematically reviewed the…
Descriptors: Meta Analysis, Educational Change, Teaching Methods, Learning Processes
Ericsson, Elin; Sofkova Hashemi, Sylvana; Lundin, Johan – Cogent Education, 2023
Speaking in a foreign language is considered challenging to both teach and learn. Virtual humans (VHs), as conversational agents (CAs), provide opportunities to practise speaking skills. Lower secondary school students (N = 25) engaged in an AI-based spoken dialogue system (SDS) and interacted verbally with VHs in simulated everyday-life scenarios…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
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