Learning Styles Of Engineering Students Research Articles

Relating Perceptual Learning Styles of Engineering Students with Scanning Information in Text Scores

There are numerous factors, which reasonably affect teachers’ instructions. One of these factors is being aware of the learners’ learning styles. Shea’s work (1983) contributed that there is a strong correlation between learning styles and reading comprehensions. The present study investigated the correlation between Perceptual learning styles and scanning information in text scores. To achieve this, researcher randomly selected 382 undergraduates (male and female) engineering students of the Public sector Engineering University. Learning style survey questionnaire by Andrew D. Cohen, Rebecca L. Oxford, and Julie C. Chi (2001) was employed to examine the Perceptual learning style patterns and learning styles with respect to gender. In addition to this, reading test was conducted based on scanning skill. Pearson product-moment correlation test was applied to examine the correlation between the variables. It was found that a correlation exists between learning styles of engineering students and scanning information in the text. In addition to this, gender does play role in learning style preferences. This result would create awareness among all instructors or teachers the importance of learners’ unique learning style preferences that consequently affect teaching methodologies in all educational settings.

Analysis of Learning Styles of Engineering Students For Improving Engineering Education

Outcome based education is a buzzword in all fields of technical education specifically in engineering education. We talk of active , cooperative and collaborative learning to achieve the desired outcomes and to make the students learn because the faculty is teaching , but are the students learning ? This a critical question to ponder upon as the learning style of the students have a big impact on the way they perceive and learn. An analysis of their learning styles is definitely going to improve the engineering education. The present study aims to assess the learning style of undergraduate students in engineering by using Felder's and Solomon's Learning style index so as to accommodate the streamlining of pedagogy in classroom teaching.

Learning Styles of Engineering Students

The study aimed at determining the learning styles of students pursuing master's degree programmes in engineering. Index of Learning Style was administered to 175 students. The findings reveal that there exist differences in learning styles of students pursuing master's degree in computer science and engineering, civil engineering, electrical engineering, electronics and communication engineering and mechanical engineering.Majority of the students of various branches except of mechanical engineering prefer active, sensing, visual and sequential learning styles but very few of them have strong preference for a particular learning style.

An analysis of Self-perceived Communication Apprehension by Learning Styles of Engineering Students

An analysis of Self-perceived Communication Apprehension by Learning Styles of Engineering Students

A Survey of Learning Styles of Engineering Students

This study examined the learning styles of engineering students using the Index of Learning Styles (ILS) developed by Soloman and Felder (Soloman & Felder, 2002), the Cognitive Styles Analysis (CSA) developed by Riding (Riding, 1991), and the Learning Style Inventory (LSI) developed by Kolb (Kolb, 1993). Thirty-five graduate and thirty-six undergraduate engineering students took each of the assessments. There was a strong preference for the visual category on the ILS, but an even split for the imagery/verbal dimension on the CSA. Scores were also evenly split on the active/reflective and sequential/global dimensions on the ILS. Another strong preference was seen for the analytic category on the CSA. On the LSI, most students' scores indicated a preference for the convergent category and no student scores were in the divergent category. An overview of each of the instruments as well as a summary of student learning needs for each of the dimensions is presented.