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Lan, Yu-Ju; Gupta, Kao Chia-Ling; Huang, Tai-Yi; Chelliah, Shobhana; Spector, J. Michael – Educational Technology & Society, 2021
This paper aims at answering the "how" questions about organizing and hosting an online conference during the COVID-19 pandemic. The 3rd International Pan-Pacific Technology-Enhanced Language Learning (PPTELL) Conference and Critical Thinking Meeting (hereafter PPTELL 2020) hosted from June 29 to July 1, 2020, on Zoom is the example…
Descriptors: Conferences (Gatherings), Teleconferencing, COVID-19, Pandemics
Song, Donggil; Oh, Eun Young; Hong, Hyeonmi – Educational Technology & Society, 2022
The aim of this study is to evaluate the effects of a teaching simulation activity that uses a chatbot on preservice teachers' efficacy. Forty-six preservice teachers were asked to teach the chatbot the topic of school violence and how to handle it. They were assigned to one of three groups: Teaching a chatbot whose attitude was impolite, polite,…
Descriptors: Simulation, Computer Mediated Communication, Artificial Intelligence, Student Attitudes
Liu, Zhi; Zhang, Ning; Peng, Xian; Liu, Sannyuya; Yang, Zongkai – Educational Technology & Society, 2023
Grounded on constructivism, mining a complex mix of social and cognitive interrelations is key to understanding collaborative discussion in online learning. A single examination of one of these factors tends to overlook the impact of the other factor on learning. In this paper, we innovatively constructed a socialcognitive engagement setting to…
Descriptors: Social Cognition, Cooperative Learning, Computer Mediated Communication, Student Participation
Sheng-Shiang Tseng; Erkan Er – Educational Technology & Society, 2024
The absence of instructional support during peer feedback prevents students from engaging with peer feedback. This study adopted regulated dialogic feedback as the instructional foundation and investigated its impact on students' engagement using an experimental research design. Students in the experimental group (n = 26) performed the feedback…
Descriptors: Feedback (Response), Peer Evaluation, Learner Engagement, Dialogs (Language)
Zhi Liu; Huimin Duan; Shiqi Liu; Rui Mu; Sannyuya Liu; Zongkai Yang – Educational Technology & Society, 2024
Conversational agents (CAs) primarily adopt knowledge scaffolding (KS) or emotional scaffolding (ES) to intervene in learners' knowledge gain and emotional experience in online learning. However, the ill-defined design for KS and ES, as well as insufficient understanding of their interactive effects on learning outcomes, have hindered the…
Descriptors: Electronic Learning, Achievement Gains, Knowledge Level, Emotional Experience
Huang, Kun; Law, Victor – Educational Technology & Society, 2022
Help seeking is a self-regulated learning strategy, and peer help is an important form of interaction in online education. Yet, students often do not seek help even at the cost of lower performance. To understand the factors behind online students' commitment to peer help, this study implemented a peer-help discussion forum in an online course and…
Descriptors: Help Seeking, Online Courses, Peer Relationship, Student Attitudes
Hsu, Ting-Chia; Huang, Hsiu-Ling; Hwang, Gwo-Jen; Chen, Mu-Sheng – Educational Technology & Society, 2023
In traditional instruction, teachers generally deliver the content of textbooks to students via lectures, making teaching activities lack vibrancy. Moreover, in such a one-to-many teaching mode, the teacher is usually unable to check on individual students' learning status or to provide immediate feedback to resolve their learning problems.…
Descriptors: High School Students, Expertise, Decision Making, Artificial Intelligence
Chang, Ching-Yi; Kuo, Shu-Yu; Hwang, Gwo-Haur – Educational Technology & Society, 2022
Conventional nursing courses have solely adopted lecture-based instruction for knowledge delivery, which tends to lack interaction, rehearsal, and personalized feedback. The development of chatbot technologies and their broad application have provided an opportunity to solve the abovementioned problems. Some knowledge-based chatbot systems have…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Computer Assisted Instruction, Nursing Education
Lee, Alwyn Vwen Yen – Educational Technology & Society, 2021
The understanding of online classroom talk is a challenge even with current technological advancements. To determine the quality of ideas in classroom talk for individual and groups of students, a new approach such as precision education will be needed to integrate learning analytics and machine learning techniques to improve the quality of…
Descriptors: Learning Analytics, Artificial Intelligence, Classroom Communication, Electronic Learning
Chen, Julian; Bogachenko, Tatiana – Educational Technology & Society, 2022
Establishment of online communities in distance education has been linked to improved engagement, retention, and learning outcomes. This study investigates how online community building was fostered in the text-based Discussion Board (DB) and multimodal VoiceThread (VT) in one of the postgraduate units offered by Open Universities Australia.…
Descriptors: Foreign Countries, Communities of Practice, Distance Education, Computer Mediated Communication
Lin, Chi-Jen; Mubarok, Husni – Educational Technology & Society, 2021
One of the biggest challenges for EFL (English as Foreign Language) students to learn English is the lack of practicing environments. Although language researchers have attempted to conduct flipped classrooms to increase the practicing time in class, EFL students generally have difficulties interacting with peers and teachers in English in class.…
Descriptors: Learning Analytics, Cognitive Mapping, Artificial Intelligence, Computer Mediated Communication
Jing Yan; Scott Grant; Hui Huang – Educational Technology & Society, 2025
Many studies have examined the factors that influence second language interaction, such as task type and communication mode, i.e., face-to-face and computer-mediated communication through online mode. However, there is a paucity of research that has investigated the effects of task type on negotiation of meaning (NoM), a specific type of…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Task Analysis
Muntaha, Muntaha; Chen, Julian; Dobinson, Toni – Educational Technology & Society, 2023
Employing multimodal computer-mediated communication (CMC) for online language learning and teaching has gained momentum worldwide due to the emergence of various digital modes, such as text, image, audio, and video, for online communication. This pilot study aimed to explore students' learning experiences with multimodal CMC tasks through…
Descriptors: Foreign Countries, College Freshmen, Computer Mediated Communication, Educational Technology
Yueh-Hui Vanessa Chiang; Maiga Chang; Nian-Shing Chen – Educational Technology & Society, 2024
Generative Artificial Intelligence (AI), especially machine learning models that autonomously generate human-like content, has recently attracted significant attention in the education sector. This paper explores the potential of generative AI, including tools like ChatGPT, to shift from traditional outcome-oriented educational practices to a more…
Descriptors: Artificial Intelligence, Educational Practices, Process Education, Educational Objectives
Zhang, Si; Gao, Qianqian; Wen, Yun; Li, Mengsiying; Wang, Qiyun – Educational Technology & Society, 2021
Online discourse is widely used in diverse contexts of learning and professional training, but superficial interactions and digression often occur. In the face of these problems and the large-scale unstructured text data, the traditional way of learning analytics has been challenged in terms of providing timely intervention and feedback. In this…
Descriptors: Faculty Development, Teacher Participation, Online Courses, Computer Mediated Communication