• Journal of Engineering Education Research
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• v.26 no.4
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• pp.11-21
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• 2023

In engineering education, stimulating students' questions and encouraging learning participation are crucial for achieving higher-order thinking abilities. This study aims to investigate the use and effect of an online communication channel in fostering engineering students' questioning abilities. Consequently, in this research, we gauged students' satisfaction with an engineering class that implemented a communication channel, and scrutinized the changes in their perceptions regarding the significance of questions, their engagement in learning, and their academic self-efficacy. In addition, we interviewed the students who participated in the class. The outcomes are as follows: Firstly, student satisfaction improved compared to the previous semester's class where the communication channel was not utilized. Secondly, learners' understanding of the importance of asking questions positively escalated, alongside their actual frequency of posing questions. Thirdly, there was an improvement in learners' active engagement in their studies and their academic self-confidence. The findings of this research suggest that communication channels should be employed to motivate learners to pose questions and involve students in effective learning.

• Nuclear Engineering and Technology
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• v.55 no.12
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• pp.4465-4471
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• 2023

Hands-on education and training is a key part of fixing and developing technology knowledge and is an inherent part of many engineering and scientific curricula. However, access to large complex training facilities, such as nuclear reactor, could be limited by various factors, such as unavailability of those facilities in the region, high traveling costs or harmonization of the schedules of hands-on E&T with theoretical lectures and with the operational schedule of the facility. To handle the issue, several success stories have been reached with the introduction of the Internet Reactor Labs (IRL). The Internet Reactor Labs can strongly contribute to accessibility of training at research reactors and can contribute to improvements in their utilization. The paper describes the development of the Internet Reactor Lab at the VR-1 reactor of the Czech Technical University in Prague. Contrary to single-purpose IRLs, it presents various modalities of online teaching and training in experimental reactor physics and reactor operation in general as well as outreach activities that have been developed in recent years.

• Journal of Engineering Education Research
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• v.12 no.4
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• pp.150-158
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• 2009

This study deals with the effect of learner's self-regulated learning strategy in the non-real-time online discussion. Based on these research results, it was suggested self-regulated learning strategy should be utilized in order to enhance the cognitive dimension participation and discussion satisfaction quality of non-real-time online discussion.

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.24-32
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• 2010

This study deals with the effect of feedback patterns by instructor's social message in the online discussion environments. Based on these research results, it was suggested feedback patterns by instructor's social message should be utilized in order to improve the discussion participation and satisfaction of online discussion environments.

• Journal of Engineering Education Research
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• v.13 no.3
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• pp.78-86
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• 2010

This study deals with the effect of academic self-efficacy in the online discussion instruction. Based on these research results, it was suggested academic self-efficacy should be utilized in order to enhance the discussion participation and satisfaction quality of online discussion instruction.

• Journal of Engineering Education Research
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• v.12 no.3
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• pp.107-117
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• 2009

This research deals with the effects of anonymity and morality to the patterns of learner participation in the real-time online discussion. Based on these research results, it was suggested that the anonymity mode and morality levels subject should be utilized in order to enhance the participation quality of online discussion

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.75-86
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• 2019

Globally, the change in higher education is gradually moving toward a trend that seeks a change in innovative higher education through the revitalization of digital-based education. Accordingly, this study designed a customized education model based on e-learning that can be used in undergraduate education and development of lifelong vocational skills. The use of online learning platforms and the expansion of education are major factors that change the overall higher education system as the form and content of curriculum changes around the world. In order to establish a customized education model using online learning platform, this study analyzed major overseas advanced education cases and selected the basic direction of customized learning as personalized learning, competency based learning, and training for talents leading the 4th Industrial Revolution. Then, FGI was conducted for undergraduate and lifelong vocational ability development experts. As a result, a customized education model using an online learning platform was derived from a degree-type model available in undergraduate education and a non-degree-type model available in the field of lifelong vocational ability development, and each operation strategy was suggested.

• Journal of Engineering Education Research
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• v.12 no.1
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• pp.73-81
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• 2009

This paper discusses the changing roles of tutors when engaging with e-learning of engineering basic design courses. Understanding the importance of these roles and identifying necessary tutoring skills are the two main keys to the success of e-learning solutions. Since online tutors play a critical role in e-learning, they must be equipped with an appropriate set of skills and attributes. The roles of e-tutors involve the social, organizational, intellectual, and technical tasks.

• Journal of Information Processing Systems
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• v.20 no.3
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• pp.360-374
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• 2024

A personalized course recommendation algorithm based on deep learning in an online education cloud platform is proposed to address the challenges associated with effective information extraction and insufficient feature extraction. First, the user potential preferences are obtained through the course summary, course review information, user course history, and other data. Second, by embedding, the word vector is turned into a low-dimensional and dense real-valued vector, which is then fed into the compressed interaction network-deep neural network model. Finally, considering that learners and different interactive courses play different roles in the final recommendation and prediction results, an attention mechanism is introduced. The accuracy, recall rate, and F1 value of the proposed method are 0.851, 0.856, and 0.853, respectively, when the length of the recommendation list K is 35. Consequently, the proposed strategy outperforms the comparison model in terms of recommending customized course resources.

• Journal of Engineering Education Research
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• v.24 no.5
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• pp.3-14
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• 2021

This study deals with the case of online-based project learning, which was designed for the purpose of university educational innovation and enhancing learners' competencies required by society, operated during the COVID-19 pandemic. The course was applied Python programming language, team-based project learning, and intensive course system, which is required by our society and companies in the era of the 4th industrial revolution. Also it was operated as a non-face-to-face online class, which would have been operated in an offline class if it had not been for Covid 19 pandemic, to explore the possibilities and educational effects of online learning. To do this, 32 university students participated in online-based project learning during 8 weeks, and then conducted a survey. The survey results were analyzed in terms of i) non-face-to-face online learning, ii) team-based project learning, and iii) application of the intensive course system. Results say that most of the learners were satisfied with the online learning, team-based project learning, and the intensive semester system applied in this course at a high level, and also they clearly presented the reasons. Thereby, it has been confirmed that the learners were already well aware of the pros and cons of each learning method. Based on these results, the implications were discussed.