Evaluation of Different Learning Styles and Their Effect on Academic Performance among Undergraduate Dental Students
Siva Kumar Pendyala1*, Kameswari Kondreddy2, Ramesh Kumaresan3, Santhiya Devi4, Quah Ee Ling5, Quah Hong Sheng6
1 Associate Professor, Department of Oral & Maxillofacial Surgery, Faculty of Dentistry, AIMST University, Semeling, Bedong, Kedah-08100, Malaysia.
2 Senior Lecturer, Department of Periodontics, Faculty of Dentistry, AIMST University, Semeling, Bedong, Kedah-08100, Malaysia.
3 Associate Professor, Department of Oral & Maxillofacial Surgery, Faculty of Dentistry, AIMST University, Semeling, Bedong, Kedah-08100, Malaysia.
4 Faculty of Dentistry, AIMST University, Semeling, Bedong, Kedah-08100, Malaysia.
5 Faculty of Dentistry, AIMST University, Semeling, Bedong, Kedah-08100, Malaysia.
6 Faculty of Dentistry, AIMST University, Semeling, Bedong, Kedah-08100, Malaysia.
*Corresponding Author
Dr. Siva Kumar Pendyala,
Associate Professor, Department of Oral & Maxillofacial Surgery, Faculty of Dentistry, AIMST University, Semeling, Bedong, Kedah-08100, Malaysia.
Tel: +60164591795
Fax: 604-4298009
E-mail: p_sivakumar@aimst.edu.my
Received: June 08, 2021; Accepted: August 20, 2021; Published: August 21, 2021
Citation:Siva Kumar Pendyala, Kameswari Kondreddy, Ramesh Kumaresan, Santhiya Devi, Quah Ee Ling, Quah Hong Sheng. Evaluation of Different Learning Styles and Their Effect on Academic Performance among Undergraduate Dental Students. Int J Dentistry Oral Sci. 2021;8(9):4147-4151. doi: dx.doi.org/10.19070/2377-8075-21000847
Copyright:Dr. Siva Kumar Pendyala©2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Introduction: Every individual has own way of perceiving, processing and retaining the information and has a unique learning
style. The current study was aimed at evaluating the learning styles preferences and their influence on the academic performance
of undergraduate dental students.
Materials and Methods: 322 undergraduate dental students were involved in this cross-sectional questionnaire-based study.
The VARK questionnaire (Version 7.8) was used in this study.
Statistical analysis used: Independent samples’ t-test was carried out to evaluate the differences in the mean scores of learning
style categories between the female and male students and also between the preclinical and clinical students. Pearson’s
correlation coefficient test was utilized to determine whether there is a relationship between the academic performance and
the mean scores of different learning styles.
Results: There were no statistically significant differences noted between the female and the male students in regards to the
mean scores of visual (t(296) = -.796, p=0.426), auditory (t(296) = .061, p=0.952) and kinesthetic (t(296) = -1.681, p=0.094)
types of learning styles. A very weak positive correlation value was obtained between the academic performance and the reading
type of learning style (r = 0.125, p= 0.03).
Conclusions: The male students showed more predilections towards the kinesthetic type of learning style and visual learners
are predominant among females. A very weak positive correlation was observed between the academic performance and the
reading type of learning style.
2.Introduction
3.Conclusion
4.References
Keywords
Learning Styles; Dental Students; Academic Performance; Vark Questionnaire.
Introduction
Learning is a process whereby one acquires knowledge, skills, values
and attitudes through teaching, study and experience. Learning
leads to a relatively permanent change in a person’s knowledge
or behaviour [1]. Learning styles and learning approaches are two
different processes of learning [2]. Various learning styles are
used in the process of learning and gaining the information. Every
student is different in one’s own way of perceiving, processing
and retaining the information and has a unique learning style.
Learning approach can be described as the behavioural and philosophical
strategies followed by the students in understanding and
retaining the information [2]. Biggs Study Process Questionnaire
(SPQ) is a valuable tool to recognize and understand the learning
approaches of the students [3]. Based on the SPQ scores, students
are categorized into three domains of learning approaches
namely, the surface, deep and strategic domains. Surface learning
approach involves memorizing the information with rote learning
and leads to short-term and superficial retention of the facts. It
does not lead to long-term retention of information and knowledge.
Deep learning involves understanding the facts to develop conceptual frameworks and helps in long-term retention of the
information. Strategic approach involves use of both surface and
deep approaches to achieve the specific goals like achieving high
grades in the examinations [4]. Strategic learners use ‘cues and
clues’ about the assessment and are driven by learning that leads
to positive results [5].
Humans primarily gain knowledge through four sensory modalities:
visual, auditory, reading or writing and kinesthetic [6, 7]. Likewise,
Fleming and Mills also have proposed four categories of
learning styles [8]. VARK is an acronym that represents the four
modalities/styles of learning; visual, auditory, reading and kinesthetic.
VARK questionnaire can be used to assess the learning
styles of university students. It is a short and simple questionnaire
that tells you something about yourself which you may or may not
know. It is practical and easy to understand and can help people to
understand each other and assists them to learn more effectively
in many situations.
Visual learners learn best when the information is displayed as
graphs, drawings and illustrations. They prefer to perceive the
data which is represented in a visual manner rather than in written
form [9]. Auditory learners learn best by hearing information.
They acquire lot of information from lectures and also prefer to
read out loud to remember the information better. Read or write
learners prefer to gather information that is displayed as words.
This type of learners mainly prefers textbook based learning materials.
These people always take notes during classes and while
reading books [10]. Kinesthetic learners learn best by touching
and carrying out the procedures. They enjoy performing task
that involves directly manipulating objects and materials. These
learners like to gain information through experience and practice
rather than reading or listening. They also have to practice doing
something in order to learn it. The VARK inventory can be a
useful tool for instructors to comprehend the learning styles of
their pupils and empowers them to teach more effectively [11].
The primary objective of the teaching is to facilitate the learning
process. Hence, understanding the various learning styles
and learning behaviour of the students is vital for the educators.
Teachers should put an effort to modify their teaching approaches
to accommodate all the students with different learning styles and
create an opportunity to learn according to their preferences [9].
When instructors include various teaching methods, they can encourage
active learning among their students. Adult learners are
self-directed and learn best when they actively participate in the
education process. So, the teaching should be more “learner-centred”
for adult learners. High quality teaching always contributes
to high quality learning.
Learning style preferences can influence the academic performance
and achievement of the students [12]. Some of the previous
studies in the literature have demonstrated a close relationship
between learning style and academic performance [13, 14].
However, few other studies have failed to establish the relationship
between the learning styles and the academic performance
[15, 16].
To the best of our knowledge, no study has been published in the
literature to evaluate the different learning styles of the dental students
in Malaysia by using VARK inventory. The studies assessing
the different learning styles and their effect on the academic
performance of the dental students are scarce in the literature.
Hence, this study was undertaken to evaluate the predominant
learning styles and their influence on the academic performance
of dental students. The differences in the learning style preferences
if any based on the gender and between the pre-clinical and
clinical students were also assessed.
Materials and Methods
Chitosan was first reported by Rougat in 1859 is a cationic polysaccharide
It was a cross-sectional questionnaire-based study involving 322
undergraduate dental students from years 1 to 5. Individual consent
was obtained from all the participants who were willing to
participate in the study. The study was carried out after obtaining
the approval from the University Human & Animal Ethics
Committee (AUHAEC). The questionnaire employed in the study
consisted of two parts. First part of the questionnaire comprised
of demographic details (name, age, and gender) and year of study
of the participants and the second part consisted of a structured
VARK questionnaire (Version 7.8).
The VARK questionnaire was used to assess the four different
learning styles: Visual, Auditory, Reading and Kinesthetic. The
questionnaire used in the study consists of 16 multiple-choicequestions
with four options to choose an answer for each question.
Each option signifies one of the four learning styles. Students
can select more than one option for each question. VARK
scoring chart is used to calculate the total score for all the four
learning style categories of a participant.
Students were briefed about the main purpose of the study and
subsequently hardcopies of the questionnaires were circulated to
the students after the lecture classes. No communication was allowed
among the students while answering the questionnaire and
the students had to answer to the best of their understanding.
Academic performance was assessed by the scores achieved in the
continuous assessment examination and the overall average score
was calculated. All the data was coded and the confidentiality was
maintained.
Statistical Analysis:
Results were analyzed using Statistical Package for the Social Sciences
(SPSS) software for windows version 22. Independent samples’
t-test was carried out to evaluate the differences in the mean
scores of all the four learning style categories between the female
students and the male students. This test was also used to explore
the differences in the mean scores of all the four learning style
categories between the preclinical and clinical students. The predominant
learning styles among the male & female students and
the preclinical & clinical students were calculated. Pearson’s correlation
coefficient test was utilized to determine whether there is
a relationship between the academic performance and the mean
scores of different learning styles.
Results and Discussion
Of the 322 participants who completed the questionnaires, only
298 responses were complete and considered for the statistical
analysis. Among the 298 participants, 192 (64.43%) were female
students and 106 (35.57%) were male students. Majority of the
students 282 (94.63%) were unimodal learners and only 3.69% of
students were bimodal learners with only 1.68% of multimodal learners.
Independent samples’ t-test was performed to evaluate the differences
in the mean scores of all the four learning style categories
between the female students and the male students. An alpha
level of 0.05 was utilized. Descriptive statistics for all the four
learning styles are presented in the Table 1. There were no statistically
significant differences noted between the female and the
male students in regards to the mean scores of visual (t(296) =
-.796, p=0.426), auditory (t(296) = .061, p=0.952) and kinesthetic
(t(296) = -1.681, p=0.094) types of learning styles. Pertaining to
the mean scores of “Reading” learning style, there was statistically
significant difference noted between the female students and
the male students (t(296) = 2.402, p=0.017). The predominant
learning style among the male students was kinesthetic type with a
mean score of 27.95% followed by visual learners 27%, auditory
24.47% and the reading type of learners with 20.58%. Among
females, visual learners are predominant with a mean score of
25.88% followed by kinesthetic learners 25.55%, auditory 24.54%
and reading type with 24.02%.
There were 128 students (42.95%) from the preclinical years
(BDS Years 1&2) and 170 students (57.05%) from the clinical
years (BDS Years 3, 4 &5). To explore the differences in the mean
scores of all the four learning style categories between the preclinical
and clinical students, Independent samples’ t-test was employed.
Descriptive statistics for all the four learning styles are
presented in the Table 2. Statistically significant differences were
noted between the preclinical and the clinical students in regards
to the mean scores of visual (t(296) = 2.179, p= 0.03), auditory
(t(296) = 2.891, p= 0.004), and reading (t(296) = -3.324, p= 0.001)
types of learners. With respect to kinesthetic type of learners
(t(296) = -1.289, p= 0.199), there was no statistically significant
differences noted between the preclinical and clinical students.
The predominant learning style amongst the preclinical students
was visual type with a mean score of 27.98% followed by auditory
learners 26.46%, kinesthetic 25.39% and the reading type of
learners with 20.17%. Among clinical students, kinesthetic type
of learners are predominant with a mean score of 27.17% followed
by visual learners 25.04%, reading 24.74% and the auditory
type of learners with 23.05%.
Pearson’s correlation coefficient test was performed to determine
whether there is a relationship between the academic performance
and the mean scores of different learning styles. A
very weak positive correlation value was obtained between the
academic performance and the reading type of learning style (r
= 0.125, p= 0.03). (Table 3) We could not find any significant
relationship between the academic performance and the visual,
auditory and kinesthetic learning styles.
Discussion:
The current study assessed the learn style preferences and the
predominant learning styles of dental students using the VARK
questionnaire. The overall predominant learning style amongst
the students was kinesthetic which is followed by visual, auditory
and reading types. Hands-on experience is vital for the dental students
to achieve various clinical competencies. This can be the
reason for having a stronger preference towards the kinesthetic
learning style by the students. This finding varies from the study
conducted by Robert J. Murphy et al in which the dental students
showed predominantly the visual learning style followed by reading type [17]. In a study done by Krishnamurthy et al among the
medical students, the students showed high predilection towards
the visual type of learning [2].
The predominant learning style among the preclinical students
was visual type followed by auditory, kinesthetic and the reading
type of learners. But the clinical students showed strong predilection
towards the kinesthetic type of learning style followed by
visual, reading and the auditory types. This might be explained by
the fact that the main teaching style during the preclinical years
is by giving lectures and problem-based learning tutorials which
promotes visual and auditory learning styles. High predilection towards
the kinesthetic type of learning among the clinical students
can be attributed to the need for acquisition of clinical/practical
skills during these years.
In regards to the analysis of gender differences, the findings of our
study revealed that kinesthetic type of learning style is predominant
in male students and visual learners are predominant among
females. Similar results were observed in studies published by
Krishnamurthy et al and Sarabi-Asiabar et al where male students
showed kinesthetic type of learning styles and females showed
visual type of learning styles predominantly [2, 18]. Though, statistically
significant difference noted between the female students
and the male students in relation to the mean scores of reading
type of learning style, there were no statistically significant differences
noted pertaining to the mean scores of visual, auditory and
kinesthetic types of learning styles. These findings are consistent
with the studies published by Slater JA et al and Urval RP et al
where the authors could not find statistically significant differences
between the male and female students [19, 20].
Though, we could not find any significant relationship between
the academic performance and the visual, auditory and kinesthetic
types of learning styles, a very weak positive correlation was observed
between the academic performance and the reading type
of learning style. No significant correlation was noted between
the academic performance and the learning styles of the students
in the studies published by Urval et al., 2014 and Baykan et al.,
2007. We could not draw any generalized conclusions with regard
to the influence of learning styles on the academic performance
with the existing literature.
Limitations and Recommendations:
Our study has few limitations. It is a cross-sectional study involving
the dental students of only one University. A longitudinal,
multicenter study involving a cohort of students is more helpful
in understanding the learning style preferences of the dental students
and their influence on the academic performance.
TABLE 1. Descriptive statistics for all the four learning styles between the female students and the male students.
TABLE 2. Descriptive statistics for all the four learning styles between the pre-clinical and clinical students.
Conclusion
The results of our study showed that the predominant learning
style among the male students was kinesthetic type followed by
visual, auditory and the reading type of learners. Visual learners
are predominant among females followed by kinesthetic, auditory
and reading type of learners. There was statistically significant difference
noted between the female students and the male students
in regards to the mean scores of reading type of learning style.
Pertaining to the mean scores of visual, auditory and kinesthetic
types of learning styles between the female and the male students,
there were no statistically significant differences noted.
The predominant learning style amongst the preclinical students
was visual type followed by auditory, kinesthetic and the reading
type of learners. Among clinical students, kinesthetic type of
learners is predominant followed by visual, reading and the auditory
type of learners. Statistically significant differences were noted
between the preclinical and the clinical students in regards to
the mean scores of visual, auditory and reading types of learners.
Regarding, kinesthetic type of learners there was no statistically
significant differences noted between the preclinical and clinical
students.
A very weak positive correlation was observed between the academic
performance and the reading type of learning style. We
could not find any significant relationship between the academic
performance and the visual, auditory and kinesthetic types of
learning styles.
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