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Liu, Bing; Luo, Xiaobing; Lu, Shui-lin – International Journal of Distance Education Technologies, 2023
COVID-19 boosted online teaching and yielded a significant amount of valuable data, yet utilizing it for education is a challenge. This study employed the K-means clustering method to analyze the online teaching behavior data of 1147 courses from a local university in East China. As a result, five types of courses with distinct teaching behaviors…
Descriptors: Foreign Countries, College Faculty, Web Based Instruction, Teacher Behavior
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Guoxiang, Zhou; Elnura, Mambetova; Guihua, Wang – International Journal of Distance Education Technologies, 2023
The arrival of big data poses a challenge to foreign language teachers in colleges and universities. Based on the background of big data, this study verifies the impact of information literacy on creativity of foreign language teachers in colleges and universities. By collecting 205 foreign language teachers from colleges and universities in…
Descriptors: Foreign Countries, Information Literacy, Creativity, Second Language Learning
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Chen, Changsheng; Meng, Xiangzeng – International Journal of Distance Education Technologies, 2021
As a supplement to face-to-face teaching, small private online courses (SPOCs) have become increasingly popular in higher education. Nevertheless, there is a lack of research on behavioral patterns in the university SPOC. This empirical study investigates the behavioral patterns of 306 undergraduate students taking a degree course partially taught…
Descriptors: Student Behavior, Behavior Patterns, Outcomes of Education, Online Courses
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Chen, Zexuan; Jiao, Jianli; Hu, Kexin – International Journal of Distance Education Technologies, 2021
Online education has long been suffering from high dropout rate and low achievement. However, both asynchronous and synchronous online instructions have to become effective to serve as a quick response to maintain undisrupted learning during the COVID-19 outbreak. The purpose of the present study was to examine student engagement, learning…
Descriptors: Formative Evaluation, Online Courses, Electronic Learning, Intervention
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Zhao, Lixin; Hwang, Wu-Yuin; Shih, Timothy K. – International Journal of Distance Education Technologies, 2021
Most undergraduates in Mainland China receive distance education from home because of the COVID-19 outbreak. The unique physical environment of distance learning may have effects not only on student learning but also on student physical and mental health. This study reviewed related studies of the physical learning environment and its influence on…
Descriptors: Physical Environment, Educational Environment, Distance Education, COVID-19
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Quadir, Benazir; Zhou, Menghui – International Journal of Distance Education Technologies, 2021
Due to the emergency educational consequences of the COVID-19 epidemic, it is necessary to find an effective and alternative way of learning. Moreover, during this epidemic, the Chinese Ministry of Education announced the "Disrupted Classes, Undisrupted Learning" initiative, offering flexible online learning. With the aim of facilitating…
Descriptors: COVID-19, Pandemics, Online Courses, Distance Education
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Pei, Tao; Suwanthep, Jitpanat – International Journal of Distance Education Technologies, 2021
Metacognitive intervention of listening has prevailed in L2 (second language) listening research in the past decade. However, rare research has linked metacognitive intervention with online listening. This study examines L2 learners' development of metacognitive awareness of listening through online metacognitive listening practice. A set of…
Descriptors: Metacognition, English (Second Language), Second Language Learning, Second Language Instruction
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Zheng, Hui; Jiang, Hong-bo; Wang, Jin-Long; Liu, Shih-Hao – International Journal of Distance Education Technologies, 2021
Many educational institutions have adopted e-learning methods during the COVID-19 pandemic to maintain school teaching activities. However,systematic research on e-learning effectiveness in such a crisis is quite insufficient. This study aims to explore the impact of e-learning quality on students' satisfaction during the pandemic in regard to…
Descriptors: College Students, Student Attitudes, Electronic Learning, Distance Education
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Narayanasamy, Senthil Kumar; Elçi, Atilla – International Journal of Distance Education Technologies, 2020
Due to tremendous reception on digital learning platforms, many online users tend to register for online courses in MOOC offered by many prestigious universities all over the world and gain a lot on cutting edge technologies in niche courses. As the reception of online courses is increasing on one side, there have been huge dropouts of…
Descriptors: Dropout Rate, Online Courses, Prevention, Universities
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Yu, Zhonggen – International Journal of Distance Education Technologies, 2019
Studies on gender differences in mobile English learning are in their initial stages. College English IV, designed by a number of professors and engineers in a university in China, serves as a mobile English learning platform. This study aims to determine gender differences in cognitive loads, attitudes, and academic achievements in English…
Descriptors: Foreign Countries, Gender Differences, Cognitive Processes, Difficulty Level
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Zhu, Wenlong; Xie, Wenjing – International Journal of Distance Education Technologies, 2018
Flipped classroom provides the new ideas and ways for the innovation of university pedagogical mode. Nowadays instructors may apply this new approach to liberal arts majors in university class in order to make up for the problems of low instructional effects in traditional teaching method. From the subjective and objective perspectives, this…
Descriptors: Educational Technology, Technology Uses in Education, Homework, Video Technology
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Liu, Zhi; Zhang, Wenjing; Cheng, Hercy N. H.; Sun, Jianwen; Liu, Sannyuya – International Journal of Distance Education Technologies, 2018
As an overt expression of internal mental processes, discourses have become one main data source for the research of interactive learning. To deeply explore behavioral regularities among interactions, this article firstly adopts the content analysis method to summarize students' engagement patterns within a course forum in a small private online…
Descriptors: Discourse Analysis, Correlation, Academic Achievement, Learner Engagement
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Liu, Ming; Wang, Yuqi; Xu, Weiwei; Liu, Li – International Journal of Distance Education Technologies, 2017
The number of Chinese engineering students has increased greatly since 1999. Rating the quality of these students' English essays has thus become time-consuming and challenging. This paper presents a novel automatic essay scoring algorithm called PSOSVR, based on a machine learning algorithm, Support Vector Machine for Regression (SVR), and a…
Descriptors: Essays, English (Second Language), College Second Language Programs, Engineering Education
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Liu, Ming; Pardo, Abelardo; Liu, Li – International Journal of Distance Education Technologies, 2017
Online collaborative writing tools provide an efficient way to complete a writing task. However, existing tools only focus on technological affordances and ignore the importance of social affordances in a collaborative learning environment. This article describes a learning analytic system that analyzes writing behaviors, and creates…
Descriptors: Collaborative Writing, Learner Engagement, Student Attitudes, Visualization
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Liu, Yuqin; Jiang, Guohai; Han, Lanling; Lin, Mingxing – International Journal of Distance Education Technologies, 2013
In language learning, error correction information given by teachers for student compositions is of great value in both teaching and learning. However, in traditional paper-based error correction mode, error correction information is easily lost and cannot be fed back to students systematically. The aim of this research is to provide maximum…
Descriptors: Japanese, Error Correction, Writing (Composition), Educational Technology
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