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Ahmet Yusuf Cevher; Serkan Yildirim – Turkish Online Journal of Distance Education, 2025
This study investigates the impact and role of an instructional chatbot, ARUChatbot, in a distance education setting. Using a sequential explanatory mixed-methods design, the research involved 130 students from Ardahan University's Basic Information Technologies course. Participants were selected through purposive sampling. Quantitative data were…
Descriptors: Distance Education, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Tian Belawati; Dimas Prasetyo – Open Praxis, 2025
This paper presents the findings of a pilot study on the use of generative AI (GAI) in tutorial sessions within a large-scale distance education institution in Indonesia. The primary aim of the experiment was to assess the impact of GAI-based tutoring on student engagement and academic achievement. A secondary objective was to explore how GAI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Distance Education, Foreign Countries
Aras Bozkurt; Ramesh C. Sharma – Asian Journal of Distance Education, 2024
This study explores the transformative potential of Generative AI (GenAI) and ChatBots in educational interaction, communication, and the broader implications of human-GenAI collaboration. By examining the related literature through data mining and analytical methods, the paper identifies three main research themes: the revolutionary role of…
Descriptors: Algorithms, Artificial Intelligence, Man Machine Systems, Technology Uses in Education
Michael Agyemang Adarkwah – Adult Learning, 2025
Adult learners are a neglected species in the generative artificial intelligence (GenAI) era. The sweeping changes brought by GenAI in the educational arena have implications for adult learning. GenAI in education will usher in a world of adult learning that will be radically different from its predecessor. However, how adult learners will apply…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Adult Learning
Raj, Nisha S.; V. G., Renumol – E-Learning and Digital Media, 2022
Learning analytics aims at helping the students to attain their learning goals. The predictions in learning analytics are made to enhance the effectiveness of educational interferences. This study predicts student engagement at an early phase of a Virtual Learning Environment (VLE) course by analyzing data collected from consecutive years. The…
Descriptors: Foreign Countries, Learner Engagement, Virtual Classrooms, Artificial Intelligence
James Lamb; Tim Fawns; Joe Noteboom; Jen Ross – Higher Education Research and Development, 2025
Ideas of space within higher education are changing, influenced by pedagogical innovation, emerging technologies, and the experiences of the COVID-19 pandemic. This is most obvious in the expansion of hybrid education, where teaching happens simultaneously both online and on the physical campus. Hybrid learning spaces emerge from dynamic,…
Descriptors: Foreign Countries, Graduate Students, College Faculty, Blended Learning
Khanyisile Twabu – Discover Education, 2025
This article proposes a novel conceptual framework that integrates Artificial Intelligence (AI) with Cognitive Load Theory (CLT) and the Cognitive Theory of Multimedia Learning (CTML) to enhance Open Distance eLearning (ODeL) systems. By bridging the gap between traditional cognitive theories and cutting-edge AI technologies, this framework…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Artificial Intelligence
Tülübas, Tijen; Demirkol, Murat; Ozdemir, Tuncay Yavuz; Polat, Hakan; Karakose, Turgut; Yirci, Ramazan – Educational Process: International Journal, 2023
Background/purpose: ChatGPT, a recent form of AI-based language model, have garnered interest among people from diverse backgrounds with its immersive capabilities. Using ChatGPT to support or generate scientific research has also created an ongoing debate over its advantages versus risks. The present study aimed to conduct an AI-enabled research…
Descriptors: Artificial Intelligence, Emergency Programs, Distance Education, COVID-19
Yang, Zongkai; Yang, Juan; Rice, Kerry; Hung, Jui-Long; Du, Xu – IEEE Transactions on Learning Technologies, 2020
This article proposes two innovative approaches, the one-channel learning image recognition and the three-channel learning image recognition, to convert student's course involvements into images for early warning predictive analysis. Multiple experiments with 5235 students and 576 absolute/1728 relative input variables were conducted to verify…
Descriptors: Distance Education, At Risk Students, Artificial Intelligence, Man Machine Systems
Bahri, Saiful; Lestari, Emi Tipuk – Journal of Education and Learning (EduLearn), 2021
The 2019 coronavirus disease (COVID-19) pandemic outbreak has changed the conventional learning system to an online learning system. Online learning system is an alternative that can solve this problem with the principles of human-machine friendship learning (HMFL). This research was conducted to obtain an overview of the implementation of…
Descriptors: Electronic Learning, Man Machine Systems, Program Implementation, Foreign Countries
Agrati, Laura Sara; Burgos, Daniel; Ducange, Pietro; Limone, Pierpaolo; Pecori, Riccardo; Perla, Loredana; Picerno, Pietro; Raviolo, Paolo; Stracke, Christian M. – Education Sciences, 2021
In this paper, we report the scientific experience of HELMeTO 2020, the second edition of the International Workshop on Higher Education Learning Methodologies and Technologies Online, held virtually in Bari (Italy) in September 2020 because of the COVID-19 pandemic. The call received 59 proposals from nine countries, 39 papers were accepted to…
Descriptors: Distance Education, Higher Education, Electronic Learning, Technology Uses in Education
Koole, Marguerite – International Journal of Mobile and Blended Learning, 2018
This article is primarily a theoretical piece that uses a model of mobile learning, the FRAME model (Koole 2009), to explore a mobile teacher-training project that took place in Papua New Guinea: the SMS Story. The author takes a sociomaterial perspective, drawing upon Barad's agential realism and Sørensen's multiplicity perspective. As the author…
Descriptors: Electronic Learning, Teacher Education, Foreign Countries, Models
Kumar, Bimal Aklesh; Chand, Sailesh – International Journal of Virtual and Personal Learning Environments, 2018
In order to assist in delivering of courses in distance mode at Fiji National University a mobile learning app was designed and evaluated. The main objective of this app was to provide learning support to learners who are studying in distance mode. The app was designed for android based smart phones and usability study was conducted to evaluate…
Descriptors: Foreign Countries, Computer Oriented Programs, Electronic Learning, Distance Education
Hew, Khe Foon; Qiao, Chen; Tang, Ying – International Review of Research in Open and Distributed Learning, 2018
Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884…
Descriptors: Learner Engagement, Large Group Instruction, Online Courses, Man Machine Systems
Stein, Murphy Martin – ProQuest LLC, 2014
Developing technology to help people teach and learn is an important topic in Human Computer Interaction (HCI). In this thesis we present three studies on this topic. In the first study, we demonstrate new games for learning mathematics and discuss the evidence for key design decisions from user studies. In the second study, we develop a real-time…
Descriptors: Educational Technology, Man Machine Systems, Educational Games, Mathematics Instruction

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