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Computer Applications in Engineering Education is a peer-reviewed journal published by Wiley, covering Experimental Learning in Engineering, Teaching and Learning Programming, Online Learning and Analytics.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Computer Applications in Engineering Education 12 (3): 45–58.
Formats any DOI in Computer Applications in Engineering Education style. No sign-up. |
| Publishes research in | Experimental Learning in Engineering Teaching and Learning Programming Online Learning and Analytics Engineering Education and Pedagogy Mechatronics Education and Applications |
| ISSN | 1061-3773 |
| Citation impact (2-yr) | 3.02 |
| h-index | 64 |
| i10-index | 953 |
| Total citations | 33,347 |
| Article processing charge | $3,760 |
| Top institutions publishing here | Purdue University West Lafayette |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Artists spend their working time in the workplace so a design is needed to address their needs. The workplaces need to be economic, ergonomic, energy‐efficient, and environmentally friendly based on the current trends. This study focused on all of these aspects while choosing the subjects for conducting the experiment. A total of 10 test…
Abstract Computing and communication technology has had a significant impact on the engineering education system. This technology has improved online and collaborative learning. Besides that, it improves the students learning experiences. One of the distinguishing elements of engineering education is the laboratory requirement. In this paper, we discuss the current trends and key issues in…
Abstract Massive open online courses (MOOCs) are recent innovative approaches in distance education, which provide learning content to participants without age‐, gender‐, race‐, or geography‐related barriers. The purpose of our research is to present an efficient sentiment classification scheme with high predictive performance in MOOC reviews, by pursuing the paradigms of ensemble learning and deep…
Abstract This paper shows how web usage mining can be applied in e‐learning systems in order to predict the marks that university students will obtain in the final exam of a course. We have also developed a specific Moodle mining tool oriented for the use of not only experts in data mining but also of…
Abstract Student evaluations of teaching (SET) provides potentially essential source of information to achieve educational quality objectives of higher educational institutions. The findings can be utilized as a measure of teaching effectiveness and they may aid the administrative decision‐making process. The purpose of our research is to establish an efficient sentiment classification scheme on instructor…
