Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Author
Publication Type
Journal Articles | 10 |
Reports - Research | 6 |
Reports - Descriptive | 3 |
Guides - Classroom - Teacher | 2 |
Speeches/Meeting Papers | 2 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 6 |
Postsecondary Education | 6 |
Audience
Practitioners | 3 |
Teachers | 2 |
Location
Connecticut | 1 |
Iran (Tehran) | 1 |
Malaysia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Myers Briggs Type Indicator | 11 |
Learning Style Inventory | 1 |
What Works Clearinghouse Rating
Emami, M. Reza; Bazzocchi, Michael C. F.; Hakima, Houman – International Journal of Technology and Design Education, 2020
Cornerstone design courses have become a major part of engineering curricula, where students with different personality types and learning styles work together to design, develop, build, and demonstrate the functionality of a prototype within the duration of a term. This study analyzes student and team performance against gender, personality…
Descriptors: Undergraduate Students, Engineering Education, Design, Personality Measures
Fatahi, Somayeh; Moradian, Shakiba – International Association for Development of the Information Society, 2018
Emotions and personality are important parts of human characteristics and they play a significant role in parts of adaptive e-learning systems, it is essential to consider them in designing these systems. This paper presents an empirical study on the impact of using an adaptive e-learning environment based on learner's personality and emotion.…
Descriptors: Emotional Response, Personality Traits, Electronic Learning, Educational Technology
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
Fleischmann, Corinna; Nakagawa, Elizabeth; Kelley, Tyler – Universal Journal of Educational Research, 2016
As the National Science Foundation and engineers throughout the world seek to strengthen the future of the engineering profession, the Civil Engineering (CE) program at the United States Coast Guard Academy embodies this initiative with a student focused approach. One course in particular, Materials for Civil and Construction Engineers (CE…
Descriptors: Undergraduate Students, Engineering Education, Case Studies, Personality
Rodríguez Montequín, V.; Mesa Fernández, J. M.; Balsera, J. Villanueva; García Nieto, A. – International Journal of Technology and Design Education, 2013
Project-Based Learning (PBL) is a teaching and learning methodology that emphasizes student centered instruction by assigning projects. The students have to conduct significant projects and cope with realistic working conditions and scenarios. PBL is generally done by groups of students working together towards a common goal. Several factors play…
Descriptors: Active Learning, Student Projects, Personality Measures, Questionnaires
Lee, Chen Kang; Sidhu, Manjit Singh – Educational Technology & Society, 2015
Engineering educators have been increasingly taking the learning style theories into serious consideration as part of their efforts to enhance the teaching and learning in engineering. This paper presents a research study to investigate the learning style preference of the mechanical engineering students in Universiti Tenaga Nasional (UNITEN),…
Descriptors: Engineering Education, Cognitive Style, Measures (Individuals), Preferences
Joyner, Fredricka F.; Mann, Derek T. Y.; Harris, Todd – American Journal of Engineering Education, 2012
Key macro-trends are combining to create a new work context for the practice of engineering. Telecommuting and virtual teams create myriad possibilities and challenges related to managing work and workers. Social network technology tools allow for unprecedented global, 24/7 collaboration. Globalization has created hyper-diverse organizations,…
Descriptors: Engineering Education, Interpersonal Competence, Cultural Awareness, Teleworking
Rodman, Susan M.; Dean, Russell K. – Engineering Education, 1985
Performance of engineering students taught with behavioral objectives is compared to performance of similar students taught with advance organizers. Since results indicate little difference in achievement, subsequent work will be directed toward finding possible links between personality types (measured by the Myers-Briggs Type Indicator) and…
Descriptors: Academic Achievement, Advance Organizers, Behavioral Objectives, Engineering

Sloan, E. Dendy – Chemical Engineering Education, 1982
Discusses a design course to provide design experiences, increase personal awareness, and increase communication skills. In addition to designing projects and considering the design decision-making process, group dynamics is fostered, using groups formed on the basis of results from the Myers-Briggs Type Indicator (MBTI). (JN)
Descriptors: Chemistry, College Science, Course Descriptions, Decision Making

Woods, Donald R. – Journal of College Science Teaching, 1993
Describes the interactions and applications of three models of learning: Bloom's taxonomy, the Jungian or Myers-Brigg's Typology, and William Perry's model of attitude toward learning. (PR)
Descriptors: College Science, Cooperative Learning, Educational Psychology, Engineering Education
Felder, Richard M.; Silverman, Linda K. – Engineering Education, 1988
Discusses the incompatibility of learning and teaching styles in engineering education which results in society's potential loss of excellent engineers. Provides teaching techniques to accommodate learning styles. (RT)
Descriptors: Cognitive Style, College Instruction, College Science, Engineering Education