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Xin Cui; Zhi-Qiang Ma; Xin-Ya You; Yuchen Chen; Jia-Jia Yao; Yun-Fang Tu – Educational Technology & Society, 2025
Collaborative argumentation allows groups to express, criticize, and integrate arguments to achieve the co-construction of collective knowledge. However, students often face challenges when proposing diversified arguments, gathering evidence, and rebutting others reasonably. Incorporating generative conversational agents (GCAs) into collaborative…
Descriptors: Persuasive Discourse, Rhetoric, Artificial Intelligence, Computer Uses in Education
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Rosette Akimana; Evode Mukama; Jeannette Musengimana; Leonard Nungu – Education and Information Technologies, 2025
The study aimed to explore the role of e-portfolios in supporting active student engagement in chemistry learning within postgraduate education in Rwanda. The researchers adopted the qualitative descriptive approach, in which a random sample of 4 chemistry students at the University of Rwanda, African Centre of Excellence for Innovative Teaching…
Descriptors: Learner Engagement, Graduate Students, Chemistry, Portfolios (Background Materials)
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Adriana Castro Camelo; Marisol Esperanza Cipagauta Moyano – International Society for Technology, Education, and Science, 2024
The incursion of Information and Communications Technologies (ICT) into learning environments is becoming increasingly important, since they have become allies in the teaching, learning and evaluation process. Its possibilities of contributing to more dynamic, flexible, and innovative learning allow the academy to strengthen both: teachers and…
Descriptors: Foreign Countries, Computer Uses in Education, Educational Research, Graduate Students
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Ismail, Azlan; Mutalib, Sofianita; Haron, Haryani – Education and Information Technologies, 2023
This article discusses the key elements of the Data Science Technology course offered to postgraduate students enrolled in the Master of Data Science program. This course complements the existing curriculum by providing the skills to handle the Big Data platform and tools, in addition to data science activities. We tackle the discussion about this…
Descriptors: Data Science, Graduate Study, Masters Programs, Graduate Students
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Song, Yanjie; Cao, Jiaxin; Wu, Kaiyi; Yu, Philip Leung Ho; Lee, John Chi-Kin – IEEE Transactions on Learning Technologies, 2023
Despite the metaverse having been increasingly designed, developed, and applied to education, critical issues regarding the lack of truly immersive learning environments, custom tools, clear instructional design, and inconvenience of using the platform, and ethics and privacy concerns exist. This study aimed to design and develop a 3-D metaverse…
Descriptors: Computer Simulation, Computer Uses in Education, Cognitive Processes, Assistive Technology
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Panayiotis Panayides; Elena C. Papanastasiou; Katerina Georgiou; Maria Karekla – European Journal of Education, 2024
This study is an investigation of the validity of the Online Test Anxiety Inventory (O?-TAI) for adult students. The scale contained the 20 items of the Test Anxiety Inventory (Spielberger, 1980), together with five computer anxiety items, all rephrased so as to pertain to online test anxiety. The scale was administered to a large sample of Greek…
Descriptors: Test Validity, Computer Assisted Testing, Test Anxiety, Measures (Individuals)
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Yonggang Gao; Lu Gan; Kaiyuan Wang – Education and Information Technologies, 2025
This investigation sought to discern the impacts of different electronic note-taking strategies--collaborative, individual, and a hybrid of both--on the academic writing skills of Chinese EFL graduate students. The study engaged 185 participants, systematically assigned to one of four groups: those practicing collaborative electronic note-taking,…
Descriptors: Notetaking, Computer Uses in Education, Collaborative Writing, Writing Skills
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Qi Zhou; Wannapon Suraworachet; Mutlu Cukurova – Education and Information Technologies, 2024
Collaboration is argued to be an important skill, not only in schools and higher education contexts but also in the workspace and other aspects of life. However, simply asking students to work together as a group on a task does not guarantee success in collaboration. Effective collaborative learning requires meaningful interactions among…
Descriptors: Learning Analytics, Cooperative Learning, Nonverbal Communication, Speech Communication
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Reynald M. Cacho – Online Learning, 2024
The study proposes a balanced approach and flexible guidelines for incorporating generative artificial intelligence (AI) into university-level teaching and learning processes at both the university-departmental level and within individual academic autonomy. Building on the AI Ecological Education Policy Framework, the guidelines offer a suggestive…
Descriptors: Artificial Intelligence, College Instruction, Learning Processes, Guidelines
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Yaakob, Mohd Faiz Mohd; Nawi, Aliff; Yusof, Mat Rahimi; Kasim, Marini – International Journal of Learning and Change, 2022
Teaching and learning involving postgraduates require a better level of instruction than at undergraduate and diploma levels. In the process of building a better understanding among postgraduate students, lecturers need to research teaching weaknesses to improve teaching quality all the time. Hence, the objective of this study was to enhance the…
Descriptors: Graduate Students, Law Related Education, Computer Simulation, Computer Uses in Education
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Mik Fanguy – Australasian Journal of Educational Technology, 2025
Note-taking is generally regarded as an effective learning strategy, but it is also cognitively demanding. Students often omit salient information in their notes due to the burden of trying to listen while writing down what they hear. Two alternative forms to traditional note-taking are online collaborative note-taking and instructor-provided…
Descriptors: Notetaking, Cooperative Learning, Teacher Developed Materials, Student Developed Materials
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Shard; Devesh Kumar; Sapna Koul – International Journal of Learning Technology, 2024
This study aims to examine the effects of e-learning management system -- quality characteristics and student characteristics on continuous intention to use e-LMS. This empirical and quantitative study focuses on emerging nations, specifically India, and explores the acceptance of e-LMS among students. While previous research has examined student…
Descriptors: Foreign Countries, Electronic Learning, Undergraduate Students, Graduate Students
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Michalovich, Amir – International Journal of Social Research Methodology, 2022
Computer-Assisted Qualitative Data Analysis (CAQDAS) is becoming increasingly prevalent in the social and health sciences and an expected skill for many researchers. CAQDAS is much less structured than the use of quantitative analysis software. However, actual CAQDAS practices and challenges have been insufficiently studied, especially among…
Descriptors: Qualitative Research, Data Analysis, Computer Software, Graduate Students
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Julia VanderMolen; Kim Howard – Journal of Health Education Teaching, 2024
Purpose: This project explains how students in a graduate-level health literacy and advocacy course can benefit from the design and development of a digital literacy data visualization. Additionally, this study seeks to look into the perceived worth of developing a lesson on digital literacy, health literacy, and data visualization to assist…
Descriptors: Graduate Students, Health Education, Digital Literacy, Multiple Literacies
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Jill Oeding; Theresa Gunn; Aleisha Jones – Online Journal of Distance Learning Administration, 2024
This quantitative study is designed to determine the impact of online proctoring software in graduate courses. The researchers compared the final grades of two groups of online graduate students who were taught by professors who had online exams before and after the university implemented proctoring software. Essentially the only difference…
Descriptors: Supervision, Electronic Learning, Computer Software, Tests
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