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Selay Arkün-Kocadere; Seyma Çaglar-Özhan – International Review of Research in Open and Distributed Learning, 2024
Via AI video generators, it is possible to create educational videos with humanistic instructors by simply providing a script. The characteristics of video types and features of instructors in videos impact video engagement and, consequently, performance. This study aimed to compare the impact of human instructors and AI-generated instructors in…
Descriptors: Video Technology, Lecture Method, Artificial Intelligence, Animation
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AL-Sayid, Fareed; Kirkil, Gokhan – Education and Information Technologies, 2023
The novelty of this study is in developing a conceptual model for predicting the non-linear relationships between human-computer interaction factors and ease of use and usefulness of collaborative web-based learning or e-learning. Ten models (logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth, exponential, and logistic) were…
Descriptors: Cooperative Learning, Electronic Learning, Web Based Instruction, Man Machine Systems
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Rumeng Yan; Xin Zhao; Suvodeep Mazumdar – Education for Information, 2023
Chatbots have experienced significant growth over the past decade, with a proliferation of new applications across various domains. Previous studies also demonstrate the trend of new technologies, especially artificial intelligence, being adopted in libraries. The purpose of this study is to determine the current research priorities and findings…
Descriptors: Academic Libraries, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Michael Zabala; Taylor Oldfather – Journal of STEM Education: Innovations and Research, 2023
Recent improvements in advanced artificial intelligence (AI), including large language models (LLMs) such as ChatGPT, and the subsequent release of these models into the public domain have instantly provided the public with technical capabilities that previously required years of engineering education to acquire. The ability of these models to…
Descriptors: Engineering Education, Artificial Intelligence, Computer Mediated Communication, Computer Interfaces
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María-Isabel de Vicente-Yagüe-Jara; Olivia López-Martínez; Verónica Navarro-Navarro; Francisco Cuéllar-Santiago – Comunicar: Media Education Research Journal, 2023
The main objective of the research is to study the creative potential of Artificial Intelligence (AI) for writing skills in an educational context. The research aims to provide evidence on the use of AI and contribute to its integration in the classroom as a support for the teaching-learning process. Two types of research designs were established:…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Creativity
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Paredes-Velasco, Maximiliano; Arnal-Palacian, Monica; Urquiza-Fuentes, Jaime; Martin-Lope, Mercedes – IEEE Transactions on Education, 2023
Contribution: Prior studies on pedagogical methodologies to acquire soft skills have shown that developing collaborative tasks produces positive impact in students' abilities. In this article, a pedagogical approach based on interdisciplinary practice and realistic problems is proposed to improve students' teamwork skills. Background:…
Descriptors: College Students, Preservice Teachers, Computer Science Education, Soft Skills
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Nash, Richard; Yamada-Rice, Dylan; Dare, Eleanor; Love, Steve; Main, Angus; Potter, John; Rodrigues, Deborah – Qualitative Research Journal, 2022
Purpose: The purpose of this paper is to focus on a designed research methodology to distil existing research findings from an esrc/ahrc funded japan/uk network on location-based virtual reality experiences for children in order to generate new knowledge. Design/methodology/approach: The structured co-production methodology was undertaken in three…
Descriptors: Periodicals, Collaborative Writing, Computer Simulation, Foreign Countries
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Verma, Amit; Lamsal, Kamal; Verma, Payal – Industry and Higher Education, 2022
Due to the advent of big data and efficient computational resources, artificial intelligence (AI) and machine learning (ML) have seen massive growth in recent years. Informatics degree programs are scrambling to meet the ever-increasing market demand of such professions. To explore the skillsets required for AI and ML positions, the authors…
Descriptors: Artificial Intelligence, Man Machine Systems, Job Skills, Employment Qualifications
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Li, Kam Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2022
Purpose: This paper aims to present a comprehensive review of the present state and trends of smart education research. It addresses the need to have a systematic review of smart education to depict its research landscape in view of the growing volume of related publications. Design/methodology/approach: A bibliometric analysis of publications on…
Descriptors: Electronic Learning, Artificial Intelligence, Technology Uses in Education, Bibliometrics
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Wang, Yuancheng; Luo, Nanyu; Zhou, Jianjun – International Educational Data Mining Society, 2022
Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…
Descriptors: College Students, Assignments, Time, Scheduling
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Flor, Michael; Andrews-Todd, Jessica – Journal of Computer Assisted Learning, 2022
Background: Collaborative problem solving (CPS) is important for success in the 21st century, especially for teamwork and communication in technology-enhanced environments. Measurement of CPS skills has emerged as an essential aspect in educational assessment. Modern research in CPS relies on theory-driven measurements that are usually carried out…
Descriptors: Automation, Documentation, Cooperative Learning, Teamwork
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Kappus, Martin; Ehrensberger-Dow, Maureen – Interpreter and Translator Trainer, 2020
Professional translation and consequently translation training involve a wide range of technological aids and translation tools. A great deal of effort has been devoted to developing and implementing features that can contribute to higher consistency, productivity and quality but less attention has been paid to the needs of learners and users.…
Descriptors: Human Factors Engineering, Translation, Training, Usability
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Nicoletti, Maria do Carmo; de Oliveira, Osvaldo Luiz – Higher Education Studies, 2020
In the literature related to higher education, the concept of dropout has been approached from several perspectives and, over the years, its definition has been influenced by the use of diversified semantic interpretations. In a general higher education environment dropout can be broadly characterized as the act of a student engaged in a course…
Descriptors: Artificial Intelligence, Man Machine Systems, Computation, Prediction
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Geng, Shuang; Niu, Ben; Feng, Yuanyue; Huang, Miaojia – British Journal of Educational Technology, 2020
Despite the popularity of massive open online courses (MOOCs), only a small portion of the course participants successfully complete the course. The low completion rate can be partially attributed to the mismatch between the participants' expectations and value delivered by the courses. Therefore, this study leverages MOOC reviews to investigate…
Descriptors: Online Courses, Electronic Learning, Man Machine Systems, Psychological Patterns
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Zhai, Xiaoming; Yin, Yue; Pellegrino, James W.; Haudek, Kevin C.; Shi, Lehong – Studies in Science Education, 2020
Machine learning (ML) is an emergent computerised technology that relies on algorithms built by 'learning' from training data rather than 'instruction', which holds great potential to revolutionise science assessment. This study systematically reviewed 49 articles regarding ML-based science assessment through a triangle framework with technical,…
Descriptors: Science Education, Computer Assisted Testing, Science Tests, Scoring
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