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Sui, Jinxue; Yang, Li – International Journal of Distance Education Technologies, 2023
It is imperative to bridge the disparity between college students' practical capabilities and professional expectations. To help facilitate such a progression, an electronic engineering course oriented around the Creative Innovation Practice project has been designed with the objectives of student-centric instruction, integration of both…
Descriptors: Blended Learning, Engineering Education, Constructivism (Learning), Experiential Learning
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Yu, Fahong; Chen, Meijia; Zhu, Qiang; Yu, Bolin; Liu, Jianhua; Cai, Zhaoquan – International Journal of Distance Education Technologies, 2023
Aimed to adapt the experimental teaching to keeping up with the actual application of the experimental scene, an experimental teaching based on virtual-real combination for mobile communication was proposed in this article, which realized the collaborative mode of combining online virtual operations and real operations. The virtual experiments…
Descriptors: Computer Simulation, Handheld Devices, Telecommunications, Computer Mediated Communication
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Khadka, Jiban; Joshi, Dirgha Raj; Adhikari, Krishna Prasad; Khanal, Bishnu – International Journal of Distance Education Technologies, 2023
This study aimed to examine the teachers' humanistic role in terms of integrity, dignity, and freedom in online classes, and its effect on mathematics learning achievement. The cross-sectional survey design was carried out by taking 2260 students from school to tertiary levels in Nepal during the COVID-19 pandemic. T-test, ANOVA, and hierarchical…
Descriptors: Foreign Countries, Teacher Role, Online Courses, COVID-19
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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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Cavanaugh, Gesulla; Condry, Helen M.; Afable, Clarissa Frances; Morris, Melissa; De, Santanu; Madison, Holly Evans; Marshall, Jacqueline; Victor, Chitra Paul; Weiner, Marsha – International Journal of Distance Education Technologies, 2023
Guided by constructivist theory, this study examines health professions student learning and engagement in the virtual classroom (VC) setting. Students (N=52) participated in a one-week VC prior to and during the COVID-19 pandemic. After participation, students were surveyed to discern their impressions of the experience, including the…
Descriptors: Electronic Learning, Student Participation, Learner Engagement, Computer Simulation
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Ho, Chun-Heng; Zhang, Hang-qin; Li, Juan; Zhang, Min-quan – International Journal of Distance Education Technologies, 2023
Digital education has recently become a mainstream education model. Despite digital education's increasing popularity, there remain issues when it comes to teacher-student interactions in digital space, which have made it impossible for this model to achieve the same teaching quality as traditional in-person education. Compared with other academic…
Descriptors: Technology Uses in Education, Electronic Learning, Teacher Student Relationship, Interaction
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Sigama, Khuliso; Kalema, Billy Mathias – International Journal of Distance Education Technologies, 2022
Massive open online courses (MOOCs) could have been leveraged to bridge the education accessibility inequality gap in many developing countries, however many of the MOOCs platforms are developed to work in areas with good internet connections and high bandwidth leaving many rural areas excluded. The goal of this study was to develop a MOOCs model…
Descriptors: MOOCs, Educational Technology, Developing Nations, Internet
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Kong, Siu-Cheung; Ma, Yunsi Tina – International Journal of Distance Education Technologies, 2022
The current study aims to analyse school leaders' understanding and expectation of, and support for, online teaching and learning during and after the outbreak of the COVID-19 pandemic. Based on the theory of reasoned action (TRA) framework, the authors designed a questionnaire and collected 319 responses from school principals about their views…
Descriptors: Administrator Attitudes, Principals, Online Courses, COVID-19
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Nakayama, Minoru; Sciarrone, Filippo; Temperini, Marco; Uto, Masaki – International Journal of Distance Education Technologies, 2022
Massive open on-line courses (MOOCs) are effective and flexible resources to educate, train, and empower populations. Peer assessment (PA) provides a powerful pedagogical strategy to support educational activities and foster learners' success, also where a huge number of learners is involved. Item response theory (IRT) can model students'…
Descriptors: Item Response Theory, Peer Evaluation, MOOCs, Models
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Sun, Yan; Beriswill, Joanne; Allen, Maresha E. – International Journal of Distance Education Technologies, 2022
This study represented dimensions from the diffusion of innovations theory and the community of inquiry model to explore the adoption of web-conferencing. It used logistic regression to model the likelihood of adopting web-conferencing in online teaching with data collected from 66 college online instructors. In the logistic regression analyses,…
Descriptors: Teleconferencing, Web Based Instruction, Online Courses, Technology Integration
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Guo, Hongfei; Yu, Xiaomei; Wang, Xinhua; Guo, Lei; Xu, Liancheng; Lu, Ran – International Journal of Distance Education Technologies, 2022
As students in online courses usually show differences in their cognitive levels and lack communication with teachers, it is difficult for teachers to grasp student perceptions of the importance of knowledgepoints and to develop personalized teaching. Though recent studies have paid attention to this topic, existing methods fail to calculate the…
Descriptors: Online Courses, Individualized Instruction, Learning Analytics, Concept Mapping
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Nishio, Toshiki; Mouri, Kousuke; Tanaka, Takafumi; Okamoto, Masaru; Matsubara, Yukihiro – International Journal of Distance Education Technologies, 2022
This paper describes the effects of a pairing method based on digital textbook logs and learners' artifacts in conceptual modeling exercises. The authors developed a digital textbook system called Smart E-Textbook Application (SEA) and a conceptual modeling tool called KIfU 3.0 to collect conceptual modeling activity logs in exercises. This study…
Descriptors: Textbooks, Electronic Publishing, Educational Technology, Grouping (Instructional Purposes)
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Costa, Newarney Torrezão; de Almeida, Denis José; Oliveira, Gustavo Prado; Fernandes, Márcia Aparecida – International Journal of Distance Education Technologies, 2022
Personalized sequencing and recommendation of pedagogical actions in virtual learning environments are relevant aspects in promoting an effective learning process with computer-aided support. Hence, this work investigates the use of automated planning to sequence these actions according to student profiles. Actions are modeled to correspond to the…
Descriptors: Automation, Planning, Electronic Learning, Cognitive Processes
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Nachouki, Mirna; Naaj, Mahmoud Abou – International Journal of Distance Education Technologies, 2022
The COVID-19 pandemic constrained higher education institutions to switch to online teaching, which led to major changes in students' learning behavior, affecting their overall performance. Thus, students' academic performance needs to be meticulously monitored to help institutions identify students at risk of academic failure, preventing them…
Descriptors: Academic Achievement, Academic Advising, College Students, Classification
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