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Showing 1 to 15 of 19 results Save | Export
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Ghosh, Krishnendu; Nangi, Sharmila Reddy; Kanchugantla, Yashasvi; Rayapati, Pavan Gopal; Bhowmick, Plaban Kumar; Goyal, Pawan – International Journal of Artificial Intelligence in Education, 2022
Video lectures are considered as one of the primary media to cater good-quality educational content to the learners. The video lectures illustrate the course-relevant concepts with necessary details. However, they sometimes fail to offer a basic understanding of off-topic concepts. Such off-topic concepts may spawn cognitive overload among the…
Descriptors: Video Technology, Concept Formation, Artificial Intelligence, Lecture Method
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Ho Young Yoon; Seokmin Kang; Sungyeun Kim – Journal of Computer Assisted Learning, 2024
Background: Research into enhancing the effectiveness of information delivery in asynchronous video lectures remains sparse. This study analyzes the nonverbal teaching behaviours in asynchronous online videos, drawing comparisons between pre-service and in-service teachers (ITs). Objectives: This research primarily aims to juxtapose the nonverbal…
Descriptors: Asynchronous Communication, Video Technology, Lecture Method, Nonverbal Communication
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Mohammad Rajiur Rahman; Raga Shalini Koka; Shishir K. Shah; Thamar Solorio; Jaspal Subhlok – Education and Information Technologies, 2024
Video is an increasingly important resource in higher education. A key limitation of lecture video is that it is fundamentally a sequential information stream. Quickly accessing the content aligned with specific learning objectives in a video recording of a classroom lecture is challenging. Recent research has enabled automatic reorganization of a…
Descriptors: Lecture Method, Video Technology, Navigation (Information Systems), Artificial Intelligence
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Venkatesh S. Amin; Padmanabha C. H. – Journal on School Educational Technology, 2024
This paper explains how to prepare students to learn faster, as learning is not directly connected to classroom teaching. Learning can happen in various forms, and hence, experiential teaching connects students well. The learning could be faster and far greater than expected. This study follows a process incorporated for betterment and advancement…
Descriptors: Best Practices, Teaching Methods, Teacher Effectiveness, Educational Quality
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Saini, Munish; Arora, Vaibhav; Singh, Madanjit; Singh, Jaswinder; Adebayo, Sulaimon Oyeniyi – Education and Information Technologies, 2023
With the advent of technology and digitization, the use of Information and Communication Technology (ICT) and its tools for the imperative dissemination of information to learners are gaining more ground. During the process of the conveyance of lectures, it is mostly observed that students (learners) are supposed to take notes (minutes) of the…
Descriptors: Artificial Intelligence, Multilingualism, Information Technology, Guidelines
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Julien S. Murphy; Constance Mui – Educational Philosophy and Theory, 2025
A leading critic of the disruptive force of technology in education, Bernard Stiegler saw the counter-effects of artificial intelligence in undermining human agency, autonomy and individuality, rendering the role of education ever more critical. Stiegler believes that our goal is not to abandon technology but to focus our attention on its power…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Writing (Composition)
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Luis Alberto Laurens-Arredondo – Education and Information Technologies, 2024
The use of technologies in the classroom has become one of the main allies for university teachers in pedagogical innovation, especially during, and after the pandemic. Therefore, the main objective of this article is to investigate how different types of innovative technologies are most effective in increasing motivation among university…
Descriptors: Educational Technology, Student Motivation, Technology Uses in Education, College Students
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Pi, Zhongling; Deng, Lixia; Wang, Xu; Guo, Peirong; Xu, Tao; Zhou, Yun – Journal of Computer Assisted Learning, 2022
Background: Video lectures which include the instructor's presence are becoming increasingly popular. Presenting a real human does, however, entail higher financial and time costs in making videos, and one innovative approach to reduce costs has been to generate a virtual speaking instructor. Objectives: The current study examined whether the use…
Descriptors: Video Technology, Lecture Method, Computer Simulation, Instructional Effectiveness
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Juan Lu – International Journal of Web-Based Learning and Teaching Technologies, 2025
This paper reflected on the traditional lecture teaching method and proposed an alternative English translation teaching method based on 3D computer vision technology to increase student interest in translation, improve students' translation ability, and compensate for the shortcomings of traditional translation teaching methods. Through…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Translation
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Sebastian Gombert; Aron Fink; Tornike Giorgashvili; Ioana Jivet; Daniele Di Mitri; Jane Yau; Andreas Frey; Hendrik Drachsler – International Journal of Artificial Intelligence in Education, 2024
Various studies empirically proved the value of highly informative feedback for enhancing learner success. However, digital educational technology has yet to catch up as automated feedback is often provided shallowly. This paper presents a case study on implementing a pipeline that provides German-speaking university students enrolled in an…
Descriptors: Automation, Student Evaluation, Essays, Feedback (Response)
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Karasavvidis, Ilias; Papadimas, Charalampos; Ragazou, Vasiliki – Themes in eLearning, 2022
The digital trails that students leave behind on e-learning environments have attracted considerable attention in the past decade. Typically, some of these traces involve the production of different kinds of texts. While students routinely produce a bulk of texts in online learning settings, the potential of such linguistic features has not been…
Descriptors: Video Technology, Electronic Learning, Prediction, Academic Achievement
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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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Voss, Julia; Shaghaghi, Navid; Calle, Andres Mauricio; Lee, Kristin; Abbate, Liam – Across the Disciplines, 2022
Although Writing Across the Curriculum (WAC) has long focused on incorporating writing and related literacy activities into STEM education, the extent to which these pedagogies are widely used in STEM teaching remains unclear, as does their impact on student course performance, especially for underrepresented and marginalized student groups. Using…
Descriptors: Photography, Artificial Intelligence, STEM Education, Teaching Methods
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Sreenivasulu Reddy Mogali; Olivia Ng; Jia Xin Tan; Thu Htet San; Kian Bee Ng – Anatomical Sciences Education, 2024
The COVID-19 pandemic revealed the pivotal role of digital learning and online lecture videos, leading a shift toward blended and flipped classrooms in the post-pandemic era. This shift calls for development and (or) refreshment of novel online educational resources, such as Voice-Over PowerPoint (VOPPT) presentations, specifically designed for…
Descriptors: Undergraduate Students, Medical Students, Medical Education, Anatomy
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Bogina, Veronika; Hartman, Alan; Kuflik, Tsvi; Shulner-Tal, Avital – International Journal of Artificial Intelligence in Education, 2022
This paper discusses educating stakeholders of algorithmic systems (systems that apply Artificial Intelligence/Machine learning algorithms) in the areas of algorithmic fairness, accountability, transparency and ethics (FATE). We begin by establishing the need for such education and identifying the intended consumers of educational materials on the…
Descriptors: Educational Technology, Computer Software, Artificial Intelligence, Stakeholders
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