This research uses a three-phase method to evaluate and forecast the academic efficiency of engineering programs. In the first phase, university profiles are created through cluster analysis. In the second phase, the academic efficiency of these profiles is evaluated through Data Envelopment Analysis. Finally, a machine learning model is trained…

Clustering, a prevalent class of machine learning (ML) algorithms used in data mining and pattern-finding--has increasingly helped engineering education researchers and educators see and understand assessment patterns at scale. However, a challenge remains to make ML-enabled educational inferences that are useful and reliable for research or…

International students represent a large percentage of the student population in science, technology, engineering, and mathematics (STEM) programs at American colleges and universities. Although graduates of these programs are identified as having high employability, productivity, and earnings in the 21st-century job market, there is limited…

"Professional Ethics" has been offered as a compulsory course to undergraduate engineering students in a premier engineering institution of India. It was noticed that students' perceptions and attitudes were frivolous and ornamental towards this course. Course instructors and institution authorities were motivated to find out the factors…

This paper investigates the viewpoints and perspectives of 179 undergraduate students engaged in a co-creation project regarding their anticipated progress, exploring, simultaneously, the affecting factors. The students attended the physics course in the Department of Industrial Design and Production Engineering at the University of West Attica,…

This study aims to use group technology to classify students at the classroom level into clusters according to their learning style preferences. Group technology is used, due to the realization that many problems are similar, and that by grouping similar problems, single solutions can be found for a set of problems. The Felder and Silverman style,…

Mobile learning has started to perform an increasingly significant role in improving learning outcomes in education. Successful and efficient implementation of m-learning in higher education, as with all educational levels, depends on users' acceptance of this technology. This study focuses on investigating the attitudes of undergraduate students…

Research in Science Education has shown that often students need to learn how to identify differences and similarities between descriptive and explicative models. The development and use of explicative skills in the field of thermal science has always been a difficult objective to reach. A way to develop analogical reasoning is to use in Science…

The need for educating engineers in the United States continues as the projected demand is rising the number of high school seniors planning to enter engineering careers has remained relatively stable (Sargent, 2014). Additionally, figures show that attrition rates in undergraduate engineering continue to be an area of concern, (Sargent, 2014;…

Sustainability issues are increasingly important in engineering work all over the world. This article explores systematic differences in self-assessed competencies, interests, importance, engagement and practices of newly enrolled engineering students in Denmark in relation to environmental and non-environmental sustainability issues. The…

This study aims to compare the effectiveness of a Peer-Led Team Learning (PLTL) model with that of traditional college instruction (TCI) in enhancing the conceptual understanding and reducing both the state anxiety and social anxiety of undergraduate engineering students in a general chemistry course in a quasi-experimental design. 128 engineering…

Integrating an online component into a university course is typically done to improve the student experience. However the intent of the teacher's blended design may not always align to the students' experience of it. Their experience may be mediated by a number of factors including student perceptions of the online environment and their approach…

The purpose of the present study was to examine the effects of the ePortfolio-based learning approach (ePBLA) on knowledge sharing and creation with 92 college students majoring in electrical engineering as the participants. Multivariate analysis of covariance (MANCOVA) with a covariance of pretest on knowledge sharing and creation was conducted…

English is an access to a global society (Normark, 2013), which implies studying a specific subject area through English is crucial in today's educational arena. The reason behind this is that English is a motive for universities to gain a global status as Coleman (2006) argued. Thus, the focal point of this study is to reveal motivational…

Learning analytics and educational data mining are introducing a number of new techniques and frameworks for studying learning. The scalability and complexity of these novel techniques has afforded new ways for enacting education research and has helped scholars gain new insights into human cognition and learning. Nonetheless, there remain some…