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De La Hoz, Enrique; Zuluaga, Rohemi; Mendoza, Adel – Journal on Efficiency and Responsibility in Education and Science, 2021
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…
Descriptors: Program Effectiveness, Program Evaluation, Engineering Education, Multivariate Analysis
Taylor V. Williams – ProQuest LLC, 2022
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…
Descriptors: Multivariate Analysis, Data Analysis, Student Evaluation, Large Group Instruction
Vardakosta, Eirini; Priniotakis, Georgios; Papoutsidakis, Michail; Sigala, Marisa; Nikolopoulos, Dimitrios – European Journal of Educational Research, 2022
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,…
Descriptors: Multivariate Analysis, Student Attitudes, Correlation, Expectation
Abdelhadi, Abdelhakim; Ibrahim, Yasser; Nurunnabi, Mohammad – Education Sciences, 2019
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,…
Descriptors: Cognitive Style, Engineering Education, Teaching Styles, Student Interests
Battaglia, Onofrio Rosario; Di Paola, Benedetto; Fazio, Claudio – EURASIA Journal of Mathematics, Science & Technology Education, 2017
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…
Descriptors: Logical Thinking, Learning Activities, Science Instruction, Scientific Concepts
Marra, Rose M.; Tsai, Chia-Lin; Bogue, Barbara; Pytel, Jean Landa – American Journal of Engineering Education, 2015
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;…
Descriptors: Engineering Education, Engineering, Career Choice, Academic Achievement
Haase, S. – European Journal of Engineering Education, 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…
Descriptors: Foreign Countries, Engineering, Engineering Education, Sustainability
Jin, Sung-Hee – Educational Technology & Society, 2017
Online participation in collaborative online learning environments is instrumental in motivating students to learn and promoting their learning satisfaction, but there has been little research on the technical supports for motivating students' online participation. The purpose of this study was to develop a visualization tool to motivate learners…
Descriptors: Visualization, Cooperative Learning, Experimental Groups, Control Groups
Sahney, Sangeeta – International Journal of Educational Management, 2016
Purpose: Educational institutes must embrace the principles of total quality management (TQM) if they seek to remain competitive, and survive and succeed in the long run. An educational institution must embrace the principles of quality management and incorporate them into all of their activities. Starting with a theoretical background, the paper…
Descriptors: Higher Education, Total Quality Management, Models, Foreign Countries
Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
Creamer, Elizabeth G. – American Journal of Engineering Education, 2012
Little is known about how the presence of women influences undergraduates' experiences in engineering. This paper presents results from a mixed methods, multivariate, and multi-institutional study to determine the impact of the numeric representation of women on the intent to be employed in engineering following graduation. Results from the…
Descriptors: Females, Engineering, Engineering Education, Career Choice
Cheruvalath, Reena – Active Learning in Higher Education, 2017
Attending classes develops an ability in students to understand others' perspectives and help them to interact with their fellow peers in more adaptive ways. Teacher-student interaction and student-student interaction in a classroom facilitate students' participation in various class activities, which in turn oblige them to regard human values.…
Descriptors: Undergraduate Students, College Attendance, Attendance Patterns, Compulsory Education
Bai, Haiyan; Aman, Amjad; Xu, Yunjun; Orlovskaya, Nina; Zhou, Mingming – American Journal of Engineering Education, 2016
The purpose of this study is to assess the impact of a newly developed modules, Interactive Web-Based Visualization Tools for Gluing Undergraduate Fuel Cell Systems Courses system (IGLU), on learning motivations of engineering students using two samples (n[subscript 1] = 144 and n[subscript 2] = 135) from senior engineering classes. The…
Descriptors: Engineering Education, Web Based Instruction, Teaching Methods, Multivariate Analysis
Toh, Christine; Miller, Scarlett; Kremer, Gül E. Okudan – Advances in Engineering Education, 2013
Design fixation has been found to be complex in its definition and expression, but it plays an important role in design idea generation. Identifying the factors that influence fixation is crucial in understanding how to enhance the design process and reduce the negative effects of fixation. One way to potentially mitigate fixation is through…
Descriptors: Role, Personality Traits, Engineering Education, Design
Al-Alawneh, Muhammad K. – Turkish Online Journal of Distance Education, 2014
Employing computer's technology that includes e-learning system in the field of Engineering is a vital issue which needs to be discussed. Therefore, this study purposed to examine e-learning barriers as perceived by faculty members of engineering in three major universities in Jordan (Yarmouk University, Jordan University of Science and…
Descriptors: Foreign Countries, Electronic Learning, Barriers, College Faculty
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