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. 2018 Nov 12;11:807. doi: 10.1186/s13104-018-3912-6

A significant association between examination results and self-satisfaction with English language proficiency: preliminary findings among pre-clinical undergraduates

Madushika Wijesundara 1, Chamindi Wijerathna 1, Kasun Wijerathna 1, Rasangi Wijerathna 1, Srimali Wijethunga 1, Ashan Wijewardana 1, Anuprabha Wickramasinghe 2, Devarajan Rathish 3,
PMCID: PMC6233354  PMID: 30419969

Abstract

Objectives

Learning methods and other related factors influence the success of medical undergraduates. This study aims at finding factors associated with the end of pre-clinical stream examination results among medical undergraduates of the Rajarata University of Sri Lanka. The results of this study will inform the tutors to plan and implement teaching methods as well as to guide the social welfare of the undergraduates. In general, we believe this study has the potential to improve the medical undergraduate’s academic performance.

Results

Eighty-six per cent (112/130) of medical undergraduates have passed the examination and rest was referred. Logistic regression revealed a significant association between examination results and self-satisfaction for English language proficiency (P = 0.048). Passing the examination was more likely with high self-satisfaction for English language proficiency [odds ratio = 6.063 (95% CI 1.014 to 36.249)]. Also, a significant association between obtaining a class at the examination and using peer-revision notes (P = 0.019) was revealed. Obtaining a class at the examination was less likely with the frequent use of peer-revision notes [odds ratio = 0.228 (95% CI 0.066 to 0.790)].

Electronic supplementary material

The online version of this article (10.1186/s13104-018-3912-6) contains supplementary material, which is available to authorized users.

Keywords: Medical education, Undergraduates, English proficiency, Peer-revision notes

Introduction

Undergraduates entering medical schools are selected through preceding higher academic performances. Although previous academic performance is a suitable prognosticator of achievements at the medical school, it is not a perfect predictor [1]. Reflective and active learning styles were found to be more common among preclinical and clinical undergraduates [2]. Career concerns and goal orientation were related to higher academic performances [3]. Nevertheless, completion of the medical course is not without the involvement of stress [46]. However, self-directed learning has been positively associated with knowledge acquisition [7].

Various methods are used by medical undergraduates to prepare for examinations [2, 8, 9]. Reproducing and meaning orientation has its influence on the success of medical undergraduates [10]. Learning styles vary and are subjective. Also, these may be associated with individual comprehension and predict success at examinations [11]. It is a complex task to figure out the study method that best suits an individual. Tutors should be able to cater knowledge according to different learning styles [2]. Most undergraduates use deep and strategic learning styles, while the latter leads to higher examination results [11]. Medical undergraduates prefer problem-based learning than traditional lectures to enhance their learning outcomes [12]. Undergraduates have acknowledged team-based learning and learning from peers [13]. Preclinical academic achievements is a predictor of better performance during the later years at medical school [14]. Therefore, good learning methods introduced during the pre-clinical stage could enhance medical undergraduate’s future performance.

There are factors other than learning methods that can affect the undergraduate’s ability to be an effective learner [1517]. Positive and negative emotions are paramount in successful learning [18]. Some undergraduates undergo severe stress in completing the course [4, 15, 19]. Majority experience stress related to their academic work and examinations [20, 21]. Stress is highly recorded, especially during the first year [22]. It is a challenging job for them to navigate through the initial years at the medical school. Adequate sleep, less time on social media, and weekend academic work has shown to achieve higher academic performance [16]. Lack of awareness on learning methods, poor physical fitness, inadequate extracurricular activities, psycho-social issues, lack of sleep and unhealthy food practices are some contributive factors for stress and the subsequent academic failure [23, 24]. Change in the medium of learning and living in hostels were also associated with academic related stress [25].

This study was aimed at finding the factors associated with the end of pre-clinical stream examination results of the medical undergraduates of the Rajarata University of Sri Lanka. An important insight is expected which will inform the future generation of undergraduates in effective learning.

Main text

Methods

A descriptive cross-sectional study was conducted among the pre-clinical stream medical undergraduates of the Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka. This latest medical school of Sri Lanka was established in 2006. It is situated at Anuradhapura, a rural district of Sri Lanka [26], 210 km away from the capital city of Colombo. Medical education at this faculty is conducted in English medium. Around 900–1000 undergraduates are on the roll at a given time and are divided into pre-clinical, para-clinical and clinical streams. The pre-clinical stream includes the first and second year teaching of anatomy, biochemistry and physiology. Lectures, practical sessions, tutorials and dissections are methods used for teaching and learning activities. The end of pre-clinical stream examination is a bar examination to enter the para-clinical stream, and a maximum of four attempts are allowed. It includes theory (multiple choice and short essay questions) and practical examinations. All undergraduates who received their end of pre-clinical stream main examination results in the year 2016 were approached soon after the release of the results and 142 out of 182 (78%) participated in the study.

A self-administered questionnaire was used to obtain data for examination results (outcome variable) and the following independent variables: (1) revision of lecture handouts before the beginning of the study leave, (2) using textbooks, peer-revision notes and online resources, (3) having an effective study group, (4) self-practice of past paper questions, (5) discussing past paper questions in a study group, (6) sense of interference to academic work due to stress and psycho-social issues, (7) duration of uninterrupted sleep and (8) self-satisfaction with time management, English language proficiency, physical fitness, leisure activity, family support, financial support and accommodation. Lecture hand-outs are usually of the whole lecture which includes the detailed subject matter and the list of resources which the undergraduates should refer. Response categories for each of the variables are shown in Tables 1 and 2. The questionnaire was pre-tested among five undergraduates to improve its content, language and sequence.

Table 1.

Examination results against the variables of interest (passing the examination)

Item Description Passed Referred Logistic regression
P value Coefficient Odds ratio (95% CI)
1. Revising lecture notes Before study leave 100 12 0.177 1.307 3.694 (0.555–24.587)
During study leave 12 6
2. Using textbooks Frequently 106 14 0.443 0.951 2.587 (0.228–29.396)
Occasionally 6 4
3. Using peer-revision notes Frequently 94 15 0.754 0.280 1.323 (0.230–7.606)
Occasionally 18 3
4. Using online resources Frequently 56 10 0.328 − 0.710 0.492 (0.119–2.039)
Occasionally 56 8
5. Effective study group Had 24 3 0.513 − 0.585 0.557 (0.096–3.219)
Not had 88 15
6. Self-practice of past multiple-choice questions Frequently 98 14 0.391 − 1.035 0.355 (0.033–3.779)
Occasionally 14 4
7. Self-practice of past short essay questions Frequently 98 12 0.081 1.756 5.787 (0.806–41.524)
Occasionally 14 6
8. Discussing past paper questions in a group Frequently 70 12 0.455 − 0.605 0.546 (0.112–2.670)
Occasionally 42 6
9. Stress related interference to academic work Minimal 27 4 0.106 1.539 4.661 (0.720–30.159)
Substantial 85 14
10. Psycho-social issues related interference to academic work Minimal 60 14 0.545 − 0.472 0.623 (0.135–2.882)
Substantial 52 4
11. Uninterrupted sleep ≥ 8 h 14 3 0.170 − 1.573 0.208 (0.022–1.960)
< 8 h 98 15
12. Satisfaction with time management skills High 61 04 0.081 − 1.392 0.249 (0.052–1.188)
Less 51 14
13. Satisfaction with English language proficiency High 101 12 0.048 1.802 6.063 (1.014–36.249)
Less 11 06
14. Satisfaction with physical fitness High 84 12 0.798 0.212 1.236 (0.243–6.289)
Less 28 6
15. Satisfaction with leisure activities High 55 8 0.203 0.916 2.499 (0.610–10.247)
Less 57 10
16. Satisfaction with family support High 104 18 0.999 − 21.255 0.000
Less 8 0
17. Satisfaction with financial support High 102 16 0.257 − 1.623 0.197 (0.012–3.256)
Less 10 2
18. Satisfaction with accommodation High 72 15 0.081 − 1.632 0.195 (0.031–1.221)
Less 40 3

Italic values indicate significance with a p-value of < 0.05

Table 2.

Examination results against the variables of interest (obtaining a class at the examination)

Item Description Passed without a class Passed with a class Logistic regression
P value Coefficient Odds ratio (95% CI)
1. Revising lecture notes Before study leave 75 25 0.249 − 1.041 0.353 (0.060–2.073)
During study leave 08 04
2. Using textbooks Frequently 78 28 0.561 − 1.031 0.357 (0.011–11.496)
Occasionally 05 01
3. Using peer-revision notes Frequently 73 21 0.020 − 1.480 0.228 (0.066–0.790)
Occasionally 10 08
4. Using online resources Frequently 43 13 0.827 − 0.118 0.889 (0.308–2.564)
Occasionally 40 16
5. Effective study group Had 18 06 0.958 − 0.035 0.965 (0.259–3.602)
Not had 65 23
6. Self-practice of past multiple-choice questions Frequently 70 28 0.190 2.143 8.523 (0.346–209.809)
Occasionally 13 01
7. Self-practice of past short essay questions Frequently 71 27 0.945 0.072 1.074 (0.141–8.168)
Occasionally 12 02
8. Discussing past paper questions in a group Frequently 51 19 0.888 0.079 1.082 (0.363–3.223)
Occasionally 32 10
9. Stress related interference to academic work Minimal 20 07 0.455 − 0.507 0.603 (0.160–2.274)
Substantial 63 22
10. Psycho-social issues related interference to academic work Minimal 42 18 0.252 0.673 1.961 (0.619–6.209)
Substantial 41 11
11. Uninterrupted sleep ≥ 8 h 09 05 0.072 1.423 4.148 (0.878–19.595)
< 8 h 74 24
12. Satisfaction with time management skills High 39 12 0.397 − 0.490 0.612 (0.197–1.903)
Less 44 17
13. Satisfaction with English language proficiency High 74 27 0.522 0.640 1.896 (0.267–13.454)
Less 09 02
14. Satisfaction with physical fitness High 60 24 0.820 0.142 1.153 (0.339–3.916)
Less 23 05
15. Satisfaction with leisure activities High 38 17 0.405 0.457 1.580 (0.538–4.639)
Less 45 12
16. Satisfaction with family support High 76 28 0.301 1.416 4.121 (0.281–60.468)
Less 07 01
17. Satisfaction with financial support High 74 28 0.576 0.717 2.049 (0.166–25.340)
Less 09 01
18. Satisfaction with accommodation High 51 21 0.635 0.298 1.348 (0.393–4.624)
Less 32 08

Italic values indicate significance with a p-value of < 0.05

Explaining the study, obtaining verbal informed consent and data collection were done by the first six authors. All necessary measures were taken to preserve participant’s privacy and confidentiality. Permanent lecturers at the faculty avoided obtaining consent or collection of the questionnaires to avoid coercion. Data were entered into a Microsoft Excel sheet for analysis (Additional file 1). Descriptive statistics were used to describe data. Undergraduates were grouped into two: those who passed and those who referred at the examination. Also, those who passed the examination were grouped into two: passed without a class and passed with a class at the examination. Logistic regression was performed to determine the significant association between variables of interest and the examination results (P < 0.05). Odds ratios with 95% confidence interval were presented for each variable of interest.

Results

Out of the 142 undergraduates who participated in the study, 12 were omitted from analysis due to missing data. Eighty-six per cent (112/130) have passed the examination and rest was referred. Out of those who passed, 26% (29/112) had a class.

Eighty-nine per cent (101/113) of undergraduates who had high self-satisfaction for English language proficiency passed the exam, in comparison to 65% (11/17) of those who thought to have less self-satisfaction for English language proficiency. Logistic regression revealed a significant association between examination results and self-satisfaction with English language proficiency (P = 0.048). A positive coefficient (1.802) indicated that passing the examination was more likely with high self-satisfaction for English language proficiency. The above was further confirmed by an odds ratio of 6.063 (95% CI 1.014 to 36.249) for high self-satisfaction for English language proficiency.

Logistic regression revealed no significant association between examination results (passed and referred) and the following factors of interest: revision of lecture handouts before the beginning of the study leave, using textbooks, peer-revision notes and online resources, having an effective study group, self-practice of past paper questions, discussing past paper questions in a study group, sense of interference to academic work due to stress and psycho-social issues, duration of uninterrupted sleep and self-satisfaction with time management, physical fitness, leisure activity, family support, financial support and accommodation (Table 1).

Forty-four per cent (08/18) of undergraduates who occasionally used peer-revision notes had a class at the examination, in comparison to 22% (21/94) of those who frequently used peer-revision notes. Logistic regression revealed a significant association between obtaining class at the examination and using peer-revision notes (P = 0.019). A negative coefficient (− 1.480) indicated that obtaining of a class was less likely with the frequent use of peer-revision notes. The above was further confirmed by an odds ratio of 0.228 (95% CI 0.066 to 0.790) for frequent use of peer-revision notes. Logistic regression revealed no significant association between obtaining a class at the examination and the rest of the factors of interest considered in this study (Table 2).

Discussion

Examination results were significantly associated with high self-satisfaction for English language proficiency. Previous evidence suggests that a change in medium of learning was associated with academic related stress [25]. Majority of the Sri Lankan medical undergraduates face a change in medium of learning when they enter the university after completion of their schooling. Medical teaching should promote English language proficiency which would help improve the performance of medical undergraduates at examinations.

Using peer-revision notes is popular learning methods among medical undergraduates. However, obtaining of a class was less likely with the frequent use of peer-revision notes. The above finding highlights the need for strict scrutiny of these peer-revision notes. Nevertheless, the use of textbooks and online resources revealed no significant association with the examination results. Also, interference by psycho-social issues had no significant association with academic performance. Inappropriate learning methods and psycho-social issues were shown to be contributive factors for academic stress and subsequent academic failure in prior studies [23, 24]. In contrary to previous literature [16], the duration of uninterrupted sleep also failed to reveal any association with academic performance. It is also surprising to note that having an effective study group and practising of past papers did not influence the examination results.

Limitations

Findings of a cross-sectional study conducted amongst a single batch of undergraduates of a particular medical school cannot establish a causal association and neither it could be generalised. A national survey at all other medical schools of Sri Lanka would be ideal. However, present data are unique as it was from a medical school located in a rural region, which was the latest to be established in the country. The data on variables of interest were collected following the release of the examination results. However, it would have been ideal if it were collected before the release of the results and subsequently tallied with the examination results. Nevertheless, this is methodologically challenging especially with de-identification and could have led to a high proportion of drop-outs.

Additional file

13104_2018_3912_MOESM1_ESM.xlsx (23.1KB, xlsx)

Additional file 1. Factors associated with the end of pre-clinical stream examination results of medical undergraduates.

Authors’ contributions

All authors were involved in developing the study idea and designing the study. M Wijesundara, C Wijerathna, K Wijerathna, R Wijerathna, S Wijethunga and A Wijewardana were involved in data collection. M Wijesundara, C Wijerathna, K Wijerathna, R Wijerathna, S Wijethunga, A Wijewardana and D Rathish were involved in data analysis. All authors were involved in the interpretation of data. M Wijesundara, C Wijerathna, K Wijerathna, R Wijerathna, S Wijethunga and A Wijewardana drafted the manuscript and D Rathish; A Wickramasinghe critically revised it. All authors read and approved the final manuscript.

Acknowledgements

Authors extend their gratitude to the Undergraduate Research Project 2016, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka for the guidance and help provided.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

All data generated or analysed during this study are included in this published article (and its additional file).

Consent for publication

Not applicable.

Ethics approval and consent to participate

Ethical clearance was obtained from the Ethics Review Committee, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka (ERC/2016/58). Informed written consent to participate was obtained from all participants.

Funding

The study was self-funded.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Madushika Wijesundara, Email: madurkw@gmail.com.

Chamindi Wijerathna, Email: chamindimadu@gmail.com.

Kasun Wijerathna, Email: kasunclassics@gmail.com.

Rasangi Wijerathna, Email: rasanwijeratna@gmail.com.

Srimali Wijethunga, Email: srimali4991@gmail.com.

Ashan Wijewardana, Email: ashanwijewardene@gmail.com.

Anuprabha Wickramasinghe, Email: anuprabha_mw@yahoo.com.

Devarajan Rathish, Email: rathishdeva@gmail.com.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

13104_2018_3912_MOESM1_ESM.xlsx (23.1KB, xlsx)

Additional file 1. Factors associated with the end of pre-clinical stream examination results of medical undergraduates.

Data Availability Statement

All data generated or analysed during this study are included in this published article (and its additional file).


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