A Survey of Learning Styles of Engineering Students

Ashford, Terresa S.; Shehab, Randa L.; Rhoads, Teri Reed; Court, Mary

doi:10.1177/154193120304700607

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…According to the results obtained, there was a strong preference for the visual category on the ILS. However, there was a good balance in the imagery/verbal dimension [42]. Paterson [43] showed that out of 83 undergraduate engineering students who completed the ILS in a study conducted at Michigan Technological University, 56% were classified as active (ACT) learners (44% were reflective learners, REF), 63% were sensing (SEN) learners (37% intuitive learners, INT), 74% were visual (VIS) learners (26% verbal, VRB), and 53% were sequential (SEQ) learners (47% global, GLO).…”

Section: Current Practicementioning

confidence: 99%

Investigating Engineering Student Learning Style Trends by Using Multivariate Statistical Analysis

2019

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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, and the index learning style (ILS) are used to find student learning style preferences; students are grouped into clusters based on the similarities of their preferences, by using multivariate statistical analysis. Based on the developed groups, instructors can use the proper teaching style to teach their students. The formation of clusters based on the statistical analyses of two sets of data collected from students of two classes at the same level, belonging to same engineering department indicates that each class has different learning style preferences. This is an eye-opener to educators, in that different teaching styles can be used for their students, based on the students’ learning styles, even though the students seem to have a common interest.

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Section: Current Practicementioning

confidence: 99%

Investigating Engineering Student Learning Style Trends by Using Multivariate Statistical Analysis

2019

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Learning styles of the Armed Forces of Ukraine personnel undergoing English language courses

Duzhyi,

Derkach

2024

Educ. Technol. Q.

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The preferred learning styles according to the Felder-Soloman method of military personnel of the Armed Forces of Ukraine with various military ranks studying English on four-month face-to-face foreign language courses based on the Foreign Languages Education and Research Center of the National Defense University of Ukraine were studied. Active, sensing and visual styles account for approximately 85% of students, while the remaining 15% have reflective, intuitive and verbal styles. The advantage of the sequential over global style is about 75%. No correlation was found between individual learning preferences, the results of the English language entrance test (four tests - listening, writing, reading and speaking), and officer ranks. The method of two-stage cluster analysis shows that respondents form two clusters (Silhouette cluster quality - 0.5-0.6) of approximately the same size according to the level of language proficiency. The most influential factor for cluster formation is the results of listening. Military personnel learning styles were compared with literature data on students' learning styles from 12 fields of study. Two fields (military and natural sciences) demonstrate the preferences toward four styles in all four dimensions; preferences in 2 directions (sensing and visual) and balance in the other two are characteristic of six fields of study. Four other studied fields have a propensity in only one dimension (visual perception of information).

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A Survey of Learning Styles of Engineering Students

Abstract: This study

Cited by 2 publications

References 7 publications

Investigating Engineering Student Learning Style Trends by Using Multivariate Statistical Analysis

Investigating Engineering Student Learning Style Trends by Using Multivariate Statistical Analysis

Learning styles of the Armed Forces of Ukraine personnel undergoing English language courses

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