International Journal of Distance Education Technologies

Journal Information
ISSN / EISSN : 1539-3100 / 1539-3119
Published by: IGI Global (10.4018)
Total articles ≅ 423
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Latest articles in this journal

Sang Joon Lee, Jeremiah N. Nuatomue
International Journal of Distance Education Technologies, Volume 19, pp 1-13;

One of the major concerns about online learning has been the low level of student satisfaction and retention rates. Using the community of inquiry (CoI) framework, this study examined course delivery modes and students' perceived ratings of course difficulty in online and face-to-face sections of a technology-intensive course and how the delivery modes and perceived difficulty were related to the essential elements of the CoI framework and course satisfaction. The findings revealed that more students in the online section found it difficult to learn in a technology-intensive course. Also, while different delivery modes were closely related to social presence, students' perceived course difficulty was significantly related to teaching and cognitive presences of the CoI framework. Additionally, there was a correlation between students' perceived difficulty ratings and student satisfaction in online learning.
Zeina Hojeij,
International Journal of Distance Education Technologies, Volume 19, pp 14-32;

Due to the COVID-19 pandemic, universities have moved rapidly to transition of various courses and programs from face-to-face to online delivery mode. Involving pre-service teachers in the virtual field experience remained almost impossible. In the United Arab Emirates, however, a small cohort of four pre-service teachers have completed their teaching practicum online for the first time. Therefore, this study aimed to explore the effectiveness of virtual practicum placement and its impact on developing preservice teachers' teaching practices, classroom management skills, and the use of online resources. A qualitative approach was employed for data collection including open-ended interviews, journal entries, and written reflections under guided reflective categories to uncover participants' perceptions about their virtual teaching experience. Findings revealed the significant role of the mentor and suggested a framework for effective virtual field experience.
, Liheng Yu
International Journal of Distance Education Technologies, Volume 19, pp 33-50;

In this COVID-19 pandemic, learners across the world are encouraged to stay at home receiving online education, which has nearly caused various learning outcomes. It is thus necessary to analyze online learning outcomes, as well as their gender differences to provide constructive references for learners, teachers, and technology developers. This study obtained reliable data from various databases using searching techniques. The study also selected the research articles based on inclusion and exclusion criteria. After analyzing the forest and funnel plots drawn via Review Manager 5.3, the study arrived at the conclusion that online learning outcomes were significantly higher than the traditional learning outcomes with a large effect size (d = 1.24), while the gender differences in learning outcomes were not significant with a small effect size (d = -0.03). In the future, experts could make every effort to develop advanced emotion detection applications via interdisciplinary cooperation to improve online learning outcomes.
International Journal of Distance Education Technologies, Volume 19, pp 51-69;

Student satisfaction has become a crucial measure in massive open online course (MOOC) learning experience. Students with high satisfaction not only bring the long-term benefits to higher education, but also help to sustain MOOCs as a source of revenue. Thus, this study is aimed to examine the contributing factors of sustainability implementation model of MOOCs from the students' perceptions. A total of 763 undergraduate students in Malaysia participated MOOCs in this study. The proposed research model was evaluated via survey analysis and followed by the structural equation modelling analysis. The findings indicated that pedagogy and enrolment of MOOC are significant antecedents to predict students' perceived benefits and satisfaction. Moreover, students' perceived benefit is a vital mediator to their satisfaction on MOOC implementation. The implications of this study on MOOC implementation and its sustainability in higher education institutions are also discussed.
, Luiz Carlos Carchedi, Jorão Gomes Junior, João Victor de Souza, Eduardo Barrere,
International Journal of Distance Education Technologies, Volume 19, pp 70-88;

Learning assessments are important to monitor the progress of students throughout the teaching process. In the digital era, many local and large-scale learning assessments are conducted through technological tools. In this view, a large-scale learning assessment can be designed to tackle one or multiple parts of the teaching process. Oral reading fluency assessments evaluate the ability to read reference texts. However, even though the use of applications to collect the reading of the students avoids logistics costs and speeds up the process, the evaluation of recordings has become a challenging task. Therefore, this work presents a computational solution for large-scale precision-critical fluency assessment. The goal is to build an approach based on automatic speech recognition (ASR) for the automatic evaluation of the oral reading fluency of children and reduce hiring costs as much as possible.
Simone Arnò, Alessandra Galassi, Marco Tommasi, Aristide Saggino,
International Journal of Distance Education Technologies, Volume 19, pp 55-76;

Online proctoring generally refers to the practice of proctors monitoring an exam over the internet, usually through a webcam. This technology has gained relevance during the current COVID-19 pandemic, given that the social distance owing to health reasons has consequently led to the switching of all learning and assessment activities to online platforms. This paper summarises the available state-of-the-art of commercial proctoring systems by identifying the main features, describing them, and analysing the way in which different proctoring programs are grouped on the basis of the services they offer. Furthermore, the paper reports on two case studies concerning online exams taken with both automated and human proctoring approaches. The outcomes from state-of-the-art approaches and the experience gained by the two case studies are then summarised in the conclusion, where the need for an organisational effort in loading photographs that can be used to easily recognise student faces, and using an automated online proctoring program to support manual proctoring have been suggested.
Lixin Zhao, Wu-Yuin Hwang, Timothy K. Shih
International Journal of Distance Education Technologies, Volume 19, pp 63-84;

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 learners' physical and mental health. Using factor analysis, the authors developed a questionnaire to measure students' perceptions towards their physical learning environment and their physical and mental health and verified the reliability. Regression analysis was used to explore the influence of physical environment perception on physical health and mental health perception, as well as the predictive ability of these three factors on learning satisfaction. The results of this study provide researchers and educators with insight into learners' perceptions of the physical learning environment and their physical and mental health under COVID-19 and offer suggestions for improving distance-learning satisfaction.
David Brito Ramos, Ilmara Monteverde Martins Ramos, Isabela Gasparini, Elaine Harada Teixeira De Oliveira
International Journal of Distance Education Technologies, Volume 19, pp 20-40;

This work presents a new approach to the learning path model in e-learning systems. The model uses data from the database records from an e-learning system and uses graphs as representation. In this work, the authors show how the model can be used to represent visually the learning paths, behavior analysis, help to suggest group formation for collaborative activities, and thus assist the teacher in making decisions. To validate the practical utility of the model, the authors created two tools, one to visualize the learning paths and another to suggest groups of students for collaborative activities. Both tools were tested in a real environment, presenting useful results. The authors carried experiments with students from three programs: physics, electrical engineering, and computer science. Experiments show that it is possible to use the proposed learning path to analyze student behavior patterns and recommend group formation with positive results.
Xuemei Bai, Xiaoqing Gu
International Journal of Distance Education Technologies, Volume 19, pp 1-14;

MOOC participants from different disciplines are becoming increasingly common. This study aims to identify whether students from different genders, online learning experiences, and academic backgrounds in the same course have differences in perception of teaching, social, and cognitive presence. A survey was conducted to investigate the level of these presences that learners perceived in an xMOOC-based blended course using CoI instrument. Results show no significant differences of perceived presences among different genders and online learning experiences. However, significant group differences were observed in perception of social and cognitive presence among students from different academic backgrounds, but no significant group difference was found in teaching presence. The level of cognitive presence perceived by art students in triggering event and resolution stage is lower than that of humanities and science students. The level of social presence perceived by art students on the three subcategories of social presence is lower than that of humanities and science students.
Benazir Quadir, Menghui Zhou
International Journal of Distance Education Technologies, Volume 19, pp 15-33;

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 a sound learning environment when using online learning systems, various kinds of tools can be applied. Tencent Meeting is one tool that offers various learning features. This study aimed to investigate how students perceived the effect of the Tencent Meeting system features on the two main determinants of the TAM model, namely perceived ease of use (PEOU) and perceived usefulness (PU). The study further analyzed the effects of these two determinants on learning performance. Data were analyzed using regression analysis. The study found the Tencent Meeting system features could account for 55.1% of PEOU and 40% of PU. Another finding shows that PEOU and PU had a significant effect on the students' learning performance. Finally, a discussions and implications are presented.
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