Learning styles vary among general surgery residents: analysis of 12 years of data

PURPOSE: Understanding the learning styles of individuals may assist in the tailoring of an educational program to optimize learning. General surgery faculty and residents have been characterized previously as having a tendency toward particular learning styles. We seek to understand better the learning styles of general surgery residents and differences that may exist within the population. METHODS: The Kolb Learning Style Inventory was administered yearly to general surgery residents at the University of Cincinnati from 1994 to 2006. This tool allows characterization of learning styles into 4 groups: converging, accommodating, assimilating, and diverging. The converging learning style involves education by actively solving problems. The accommodating learning style uses emotion and interpersonal relationships. The assimilating learning style learns by abstract logic. The diverging learning style learns best by observation. Chi-square analysis and analysis of variance were performed to determine significance. RESULTS: Surveys from 1994 to 2006 (91 residents, 325 responses) were analyzed. The prevalent learning style was converging (185, 57%), followed by assimilating (58, 18%), accommodating (44, 14%), and diverging (38, 12%). At the PGY 1 and 2 levels, male and female residents differed in learning style, with the accommodating learning style being relatively more frequent in women and assimilating learning style more frequent in men (Table 1, p < or = 0.001, chi-square test). Interestingly, learning style did not seem to change with advancing PGY level within the program, which suggests that individual learning styles may be constant throughout residency training. If a resident's learning style changed, it tended to be to converging. In addition, no relation exists between learning style and participation in dedicated basic science training or performance on the ABSIT/SBSE. CONCLUSIONS: Our data suggests that learning style differs between male and female general surgery residents but not with PGY level or ABSIT/SBSE performance. A greater understanding of individual learning styles may allow more refinement and tailoring of surgical programs.

The influence of learning styles, enrolment status and gender on academic performance of optometry undergraduates

Purpose: This cross-sectional study was designed to determine whether the academic performance of optometry undergraduates is influenced by enrolment status, learning style or gender. Methods: Three hundred and sixty undergraduates in all 3 years of the optometry degree course at Aston University during 2008–2009 were asked for their informed consent to participate in this study. Enrolment status was known from admissions records. An Index of Learning Styles (http://www4.nscu.edu/unity/lockers/users/f/felder/public/Learning-Styles.html) determined learning style preference with respect to four different learning style axes; active-reflective, sensing-intuitive, visual-verbal and sequential-global. The influence of these factors on academic performance was investigated. Results: Two hundred and seventy students agreed to take part (75% of the cohort). 63% of the sample was female. There were 213 home non-graduates (entrants from the UK or European Union without a bachelor’s degree or higher), 14 home graduates (entrants from the UK or European Union with a bachelor’s degree or higher), 28 international non-graduates (entrants from outside the UK or European Union without a bachelor’s degree or higher) and 15 international graduates (entrants from outside the UK or European Union with a bachelor’s degree or higher). The majority of students were balanced learners (between 48% and 64% across four learning style axes). Any preferences were towards active, sensing, visual and sequential learning styles. Of the factors investigated in this study, learning styles were influenced by gender; females expressed a disproportionate preference for the reflective and visual learning styles. Academic performance was influenced by enrolment status; international graduates (95% confidence limits: 64–72%) outperformed all other student groups (home non graduates, 60–62%; international non graduates, 55–63%) apart from home graduates (57–69%). Conclusion: Our research has shown that the majority of optometry students have balanced learning styles and, from the factors studied, academic performance is only influenced by enrolment status. Although learning style questionnaires offer suggestions on how to improve learning efficacy, our findings indicate that current teaching methods do not need to be altered to suit varying learning style preferences as balanced learning styles can easily adapt to any teaching style (Learning Styles and Pedagogy in Post-16 Learning: A Systematic and Critical Review. London, UK: Learning and Skills Research Centre, 2004).

Adaptive E-learning Content Design and Delivery Based on Learning Styles and Knowledge Level

ACM Computing Classification System (1998): K.3.1, K.3.2.

Predicting Student Performance and Differences in Learning Styles based on Textual Complexity Indices applied on Blog and Microblog Posts

Social media tools are increasingly popular in Computer Supported Collaborative Learning and the analysis of students' contributions on these tools is an emerging research direction. Previous studies have mainly focused on examining quantitative behavior indicators on social media tools. In contrast, the approach proposed in this paper relies on the actual content analysis of each student's contributions in a learning environment. More specifically, in this study, textual complexity analysis is applied to investigate how student's writing style on social media tools can be used to predict their academic performance and their learning style. Multiple textual complexity indices are used for analyzing the blog and microblog posts of 27 students engaged in a project-based learning activity. The preliminary results of this pilot study are encouraging, with several indexes predictive of student grades and/or learning styles.

Predominant learning styles among pharmacy students at the Federal University of Paraná, Brazil

Background: Learning styles are cognitive, emotional, and physiological traits, as well as indicators of how learners perceive, interact, and respond to their learning environments. According to Honey-Mumford, learning styles are classified as active, reflexive, theoretical, and pragmatic. Objective: The purpose of this study was to identify the predominant learning styles among pharmacy students at the Federal University of Paraná, Brazil. Methods: An observational, cross-sectional, and descriptive study was conducted using the Honey-Alonso Learning Style Questionnaire. Students in the Bachelor of Pharmacy program were invited to participate in this study. The questionnaire comprised 80 randomized questions, 20 for each of the four learning styles. The maximum possible score was 20 points for each learning style, and cumulative scores indicated the predominant learning styles among the participants. Honey-Mumford (1986) proposed five preference levels for each style (very low, low, moderate, high, and very high), called a general interpretation scale, to avoid student identification with one learning style and ignoring the characteristics of the other styles. Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) version 20.0. Results: This study included 297 students (70% of all pharmacy students at the time) with a median age of 21 years old. Women comprised 77.1% of participants. The predominant style among pharmacy students at the Federal University of Paraná was the pragmatist, with a median of 14 (high preference). The pragmatist style prevails in people who are able to discover techniques related to their daily learning because such people are curious to discover new strategies and attempt to verify whether the strategies are efficient and valid. Because these people are direct and objective in their actions, pragmatists prefer to focus on practical issues that are validated and on problem situations. There was no statistically significant difference between genders with regard to learning styles. Conclusion: The pragmatist style is the prevailing style among pharmacy students at the Federal University of Paraná. Although students may have a learning preference that preference is not the only manner in which students can learn, neither their preference is the only manner in which students can be taught. Awareness of students’ learning styles can be used to adapt the methodology used by teachers to render the teaching-learning process effective and long lasting. The content taught to students should be presented in different manners because varying teaching methods can develop learning skills in students.

Does student engagement improve when 1:1 device technologies are used and adapted to cater for individual learning styles during online delivery of engineering courses?

BACKGROUND OR CONTEXT: A developing international engineering industry is dependent on competition and innovation, creating a market for highly skilled graduates from respected overseas and Australian Engineering universities. The delivery of engineering teaching and learning via blended faceto-face, problem based, research focused and online collaborative learning will continue to be the foundation of future engineering education, however, it will be those institutions who can reshape its learning spaces within a culture of innovation using 1:1 devices that will continue to attract the brightest minds. Investing in educational research that explores the preferred learning styles of learners and matching this to specifically designed 1:1 personalized web applications may be the ‘value add’ to improve student engagement. In this paper, a survey of Australian engineering education is presented and contrasted against a backdrop of internationally recognised educational pedagogy to demonstrate how engineering teaching and learning has changed over time. This paper draws on research and identifies a gap where a necessity to question the validity of 1:1 devices as the next step in the evolution of engineering education needs to be undertaken. How will teaching and learning look using 1:1 devices and will it drive student demand into engineering higher
education courses. Will this lead to improving professional standards within a dynamic engineering education context? How will current and future teaching and learning be influenced by constructivism using 1:1 device technologies? How will the engineering industry benefit from higher education investment in individualised engineering education
using 1:1 devices for teaching and learning?
PURPOSE OR GOAL: To review the current academic thinking around the topic of 1:1 devices within higher education engineering teaching and learning context in Australia. To identify any gaps in the current understandings and use of 1:1 devices within engineering courses in Australia. To generate discussion and better understanding about how the use of 1:1 devices may hinder and/or improve teaching and learning and student engagement.
APPROACH: A review covering the development of engineering education in Australia and a broader international review of engineering teaching methodology. To identify the extent of research into the use and effectiveness of online strategies within engineering education utilising 1:1 devices for teaching and learning. i.e. “Students must feel that they are part of a learning community and derive motivation to engage in the study material from the lecturer.’ (Lloyd et al., 2001) It is proposed to add to the current body of understandings and explore the effectiveness of a constructiveness teaching approach using course material specifically designed to cater for individual learning styles and delivered via the use of 1:1 devices in the classroom. It is anticipated the research will contrast current engineering teaching and learning practices and identify factors that will facilitate a greater understanding about student connectedness and engagement with the teaching and learning experience; where a constructiveness environment is supported with the use of 1:1 devices. Also, it is anticipated that the constructed learning environment will foster a culture of innovation and students will be empowered to take control of their own learning and be encouraged to contribute back to the discussion initiated by the lecture and/or course material with the aid of 1:1 device technologies. A gap has been identified in the academic literature that show there is a need to understand the relationship between engineering teaching, learning, students engagement and the use of 1:1 devices.
DISCUSSION: A review covering the development of engineering education in Australia and a broader international review of engineering teaching methodology. To identify the extent of research into the use and effectiveness of online strategies within engineering education utilising 1:1 devices for teaching and learning. i.e. “Students must feel that they are part of a learning community and derive motivation to engage in the study material from the lecturer.’ (Lloyd et al., 2001) It is proposed to add to the current body of understandings and explore the effectiveness of a constructiveness teaching approach using course material specifically designed to cater for individual learning styles and delivered via the use of 1:1 devices in the classroom.
ANTICIPATED OUTCOMES: It is anticipated the research will contrast current engineering teaching and learning practices and identify factors that will facilitate a greater understanding about student connectedness and engagement with the teaching and learning experience; where a constructiveness environment is supported with the use of 1:1 devices. Also, it is anticipated that the constructed learning environment will foster a culture of innovation and students will be empowered to take control of their own learning and be encouraged to contribute back to the discussion initiated by the lecture and/or course material with the aid of 1:1 device technologies. A gap has been identified in the academic literature that show there is a need to understand the relationship between engineering teaching, learning, students engagement and the use of 1:1 devices.
RECOMMENDATIONS/IMPLICATIONS/CONCLUSION: A gap exists in the current research about the effectiveness and use of 1:1 devices in engineering education; therefore, it is necessary to undertake further research in the area. It is proposed to hypothesize and conduct field research to identify any shortcomings and possible benefits for engineering educators and learners within a constructivist-teaching
context that explores the relationship between the use of personalized 1:1 devices for teaching and learning, adapting for individual learning styles, and identification and application of appropriate teaching and learning strategies within a constructiveness engineering course approach. Research is required to clarify the following research questions;
• What education teaching and learning strategies best facilitate the use of 1:1 devices for online teaching and learning?
• Does student engagement improve when 1:1 device technologies are used and adapted to cater for individual learning styles during online delivery of engineering courses?
• What are the factors within a university engineering faculty that may hinder and/or support the use of 1:1 devices for online teaching and learning?
• To what extent do 1:1 devices assist engineering educators and students to foster a culture of innovation? The study results will offer engineering educators and students an opportunity to reflect on
their current teaching and learning practice, and contextualise the use of 1:1 devices as a tool to improve student engagement. It is expected the learning benefits will outweigh the implementation costs and derive a unique learning experience that will empower engineering educators and students to inspire a culture of innovation.

Experiential learning styles in the age of a virtual surrogate

There is a long-held sense in general that the increasing use of computers and digital technology changes how a user experiences and learns about the world, not always for the better. This paper reports on a longitudinal study of 245 architecture and construction students over a two year period which examines the impact that virtual reality technologies have on the learning style preferences of students. A series of controlled experiments tests for the impact that increasing exposure to a proprietary virtual reality system has on the mode of learning and learning style preferences of individuals and particular cohorts. The results confirm that when virtual reality applications are used in teaching and learning, the learning behaviours will favour a more concrete experiential mode of learning and a preference for the Accommodator learning style. However, the results also demonstrate, consistently and for the first time, individual students do not privilege any particular mode of learning or learning style preference to any significant extent but rather engage in all modes and represent all learning styles. Novel visualisation techniques are introduced to examine and discuss this contrast.