scholarly journals Smart device-based testing for medical students in Korea: satisfaction, convenience, and advantages

2017 ◽  
Vol 14 ◽  
pp. 7 ◽  
Author(s):  
Eun Young Lim ◽  
Mi Kyoung Yim ◽  
Sun Huh
Keyword(s):  
Standard Deviation ◽  
Medical Students ◽  
Likert Scale ◽  
Smart Device ◽  
School Of Medicine ◽  
National University ◽  
Computer Based ◽  
Computer Based Testing ◽  
Licensing Examination ◽  
Paper And Pencil

The aim of this study was to investigate respondents’ satisfaction with smart device-based testing (SBT), as well as its convenience and advantages, in order to improve its implementation. The survey was conducted among 108 junior medical students at Kyungpook National University School of Medicine, Korea, who took a practice licensing examination using SBT in September 2015. The survey contained 28 items scored using a 5-point Likert scale. The items were divided into the following three categories: satisfaction with SBT administration, convenience of SBT features, and advantages of SBT compared to paper-and-pencil testing or computer-based testing. The reliability of the survey was 0.95. Of the three categories, the convenience of the SBT features received the highest mean (M) score (M= 3.75, standard deviation [SD]= 0.69), while the category of satisfaction with SBT received the lowest (M= 3.13, SD= 1.07). No statistically significant differences across these categories with respect to sex, age, or experience were observed. These results indicate that SBT was practical and effective to take and to administer.

scholarly journals Security Considerations and Recommendations in Computer-Based Testing

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Saleh M. Al-Saleem ◽  
Hanif Ullah
Keyword(s):  
Test Administration ◽  
Biometric Authentication ◽  
Test Security ◽  
Item Banks ◽  
Computer Based ◽  
Computer Based Testing ◽  
Authentication System ◽  
Paper And Pencil

Many organizations and institutions around the globe are moving or planning to move their paper-and-pencil based testing to computer-based testing (CBT). However, this conversion will not be the best option for all kinds of exams and it will require significant resources. These resources may include the preparation of item banks, methods for test delivery, procedures for test administration, and last but not least test security. Security aspects may include but are not limited to the identification and authentication of examinee, the risks that are associated with cheating on the exam, and the procedures related to test delivery to the examinee. This paper will mainly investigate the security considerations associated with CBT and will provide some recommendations for the security of these kinds of tests. We will also propose a palm-based biometric authentication system incorporated with basic authentication system (username/password) in order to check the identity and authenticity of the examinee.

scholarly journals Identifying and Supporting Students at Risk of Failing the National Medical Licensure Examination in Japan Using a Predictive Pass Rate

2020 ◽  
Author(s):  
Koji Tsunekawa ◽  
Yasuyuki Suzuki ◽  
Toshiki Shioiri
Keyword(s):  
Medical Students ◽  
Pass Rate ◽  
Medical Sciences ◽  
Licensure Examination ◽  
Students At Risk ◽  
National Medical ◽  
School Of Medicine ◽  
Graduation Examination ◽  
Younger Age ◽  
Computer Based

Abstract Background Students who fail to pass the National Medical Licensure Examination (NMLE) pose a huge problem from the educational standpoint of healthcare professionals. In the present study, we developed a formula of predictive pass rate (PPR)” which reliably predicts medical students who will fail the NMLE in Japan, and provides an adequate academic support for them. Methods Six consecutive cohorts of 531 medical students between 2012 and 2017, Gifu University Graduate School of Medicine, were investigated. Using 7 variables before the admission to medical school and 10 variables after admission, we developed a prediction formula to obtain the PPR for the NMLE using logistic regression analysis. In a new cohort of 106 medical students in 2018, we applied the formula for PPR to them to confirm the capability of the PPR and predicted students who will have a strong likelihood of failing the NMLE. Results Medical students who passed the NMLE had the following characteristics: younger age at admission, graduates of high schools located in the surrounding area, high scores in the graduation examination and in the comprehensive computer-based test provided by the Common Achievement Test Organization in Japan. However, total score of examination in pre-clinical medical sciences and Pre-CC OSCE score in the 4th year were not correlated with the PPR. Ninety-one out of 531 students had a strong likelihood of failing the NMLE between 2012 and 2017 and 33 of these 91 students failed NMLE. Using the PPR, we predicted 12 out of 106 students will have a strong likelihood of failing the NMLE. Actually, five of these 12 students failed NMLE. Conclusions The PPR can be used to predict medical students who have a higher probability of failing the NMLE. This prediction would enable focused support and guidance by faculty members. Prospective and longitudinal studies for larger and different cohorts would be necessary.

scholarly journals Identifying and supporting students at risk of failing the National Medical Licensure Examination in Japan using a predictive pass rate

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Koji Tsunekawa ◽  
Yasuyuki Suzuki ◽  
Toshiki Shioiri
Keyword(s):  
Medical Students ◽  
Pass Rate ◽  
Medical Sciences ◽  
Licensure Examination ◽  
Students At Risk ◽  
National Medical ◽  
School Of Medicine ◽  
Graduation Examination ◽  
Younger Age ◽  
Computer Based

Abstract Background Students who fail to pass the National Medical Licensure Examination (NMLE) pose a huge problem from the educational standpoint of healthcare professionals. In the present study, we developed a formula of predictive pass rate (PPR)” which reliably predicts medical students who will fail the NMLE in Japan, and provides an adequate academic support for them. Methods Six consecutive cohorts of 531 medical students between 2012 and 2017, Gifu University Graduate School of Medicine, were investigated. Using 7 variables before the admission to medical school and 10 variables after admission, we developed a prediction formula to obtain the PPR for the NMLE using logistic regression analysis. In a new cohort of 106 medical students in 2018, we applied the formula for PPR to them to confirm the capability of the PPR and predicted students who will have a strong likelihood of failing the NMLE. Results Medical students who passed the NMLE had the following characteristics: younger age at admission, graduates of high schools located in the surrounding area, high scores in the graduation examination and in the comprehensive computer-based test provided by the Common Achievement Test Organization in Japan. However, total score of examination in pre-clinical medical sciences and Pre-CC OSCE score in the 4th year were not correlated with the PPR. Ninety-one out of 531 students had a strong likelihood of failing the NMLE between 2012 and 2017 and 33 of these 91 students failed NMLE. Using the PPR, we predicted 12 out of 106 students will have a strong likelihood of failing the NMLE. Actually, five of these 12 students failed NMLE. Conclusions The PPR can be used to predict medical students who have a higher probability of failing the NMLE. This prediction would enable focused support and guidance by faculty members. Prospective and longitudinal studies for larger and different cohorts would be necessary.

scholarly journals Identifying and Supporting Students at Risk of Failing the National Medical Licensure Examination in Japan Using a Predictive Pass Rate

2020 ◽  
Author(s):  
Koji Tsunekawa ◽  
Yasuyuki Suzuki ◽  
Toshiki Shioiri
Keyword(s):  
Medical Students ◽  
Pass Rate ◽  
Medical Sciences ◽  
Licensure Examination ◽  
Students At Risk ◽  
National Medical ◽  
School Of Medicine ◽  
Graduation Examination ◽  
Younger Age ◽  
Computer Based

Abstract Background Students who fail to pass the National Medical Licensure Examination (NMLE) pose a huge problem from the educational standpoint of healthcare professionals. In the present study, we developed a formula of predictive pass rate (PPR)” which reliably predicts medical students who will fail the NMLE in Japan, and provides an adequate academic support for them. Methods Six consecutive cohorts of 531 medical students between 2012 and 2017, Gifu University Graduate School of Medicine, were investigated. Using 7 variables before the admission to medical school and 10 variables after admission, we developed a prediction formula to obtain the PPR for the NMLE using logistic regression analysis. In a new cohort of 106 medical students in 2018, we applied the formula for PPR to them to confirm the capability of the PPR and predicted students who will have a strong likelihood of failing the NMLE. Results Medical students who passed the NMLE had the following characteristics: younger age at admission, graduates of high schools located in the surrounding area, high scores in the graduation examination and in the comprehensive computer-based test provided by the Common Achievement Test Organization in Japan. However, total score of examination in pre-clinical medical sciences and Pre-CC OSCE score in the 4th year were not correlated with the PPR. Ninety-one out of 531 students had a strong likelihood of failing the NMLE between 2012 and 2017 and 33 of these 91 students failed NMLE. Using the PPR, we predicted 12 out of 106 students will have a strong likelihood of failing the NMLE. Actually, five of these 12 students failed NMLE. Conclusions The PPR can be used to predict medical students who have a higher probability of failing the NMLE. This prediction would enable focused support and guidance by faculty members. Prospective and longitudinal studies for larger and different cohorts would be necessary.

scholarly journals Is a medical humanities test needed in the National Medical Licensing Examination of Korea? Opinions of medical students and physician writers (secondary publication)

2014 ◽  
Vol 11 ◽  
pp. 16 ◽  
Author(s):  
Kun Hwang
Keyword(s):  
Medical Students ◽  
Medical School ◽  
Medical Humanities ◽  
Evaluation Method ◽  
Likert Scale ◽  
School Curriculum ◽  
Medical School Curriculum ◽  
National Medical ◽  
Medical Licensing ◽  
Licensing Examination

The purpose of this study was to examine the opinions of medical students and physician writers regarding the medical humanities as a subject and its inclusion in the medical school curriculum. Furthermore, we addressed whether an assessment test should be added to the National Medical Licensing Examination of Korea (KMLE). A total of 192 medical students at Inha University and 39 physician writers registered with the Korean Association of Physician Essayists and the Korean Association of Physician Poets participated in this study. They were asked to answer a series of questionnaires. Most medical students (59%) and all physician writers (100%) answered that the medical humanities should be included in the medical school curriculum to train good physicians. They thought that the KMLE did not currently include an assessment of the medical humanities (medical students 69%, physician writers 69%). Most physician writers (87%; Likert scale, 4.38 ± 0.78) felt that an assessment of the medical humanities should be included in the KMLE. Half of the medical students (51%; Likert scale, 2.51 ± 1.17) were against including it in the KMLE, which they would have to pass after several years of study. For the preferred field of assessment, medical ethics was the most commonly endorsed subject (medical students 59%, physician writers 39%). The most frequently preferred evaluation method was via an interview (medical students 45%, physician writers 33%). In terms of the assessment of the medical humanities and the addition of this subject to the KMLE, an interview-based evaluation should be developed.

scholarly journals Computer-Based and Paper-and-Pencil Tests: A Study in Calculus for STEM Majors

2020 ◽  
Vol 58 (7) ◽  
pp. 1256-1278
Author(s):  
Lawrence Smolinsky ◽  
Brian D. Marx ◽  
Gestur Olafsson ◽  
Yanxia A. Ma
Keyword(s):  
Due Dates ◽  
Stem Majors ◽  
Mathematics Majors ◽  
Science Technology ◽  
Use Of Technology ◽  
Quasi Experimental ◽  
Computer Based ◽  
Computer Based Testing ◽  
Paper And Pencil ◽  
And Mathematics

Computer-based testing is an expanding use of technology offering advantages to teachers and students. We studied Calculus II classes for science, technology, engineering, and mathematics majors using different testing modes. Three sections with 324 students employed: paper-and-pencil testing, computer-based testing, and both. Computer tests gave immediate feedback and allowed multiple submissions and pooling. Paper-and-pencil tests (PPTs) required work and explanation allowing inspection of high cognitive demand tasks. Each test mode used the strength of its method. Students were given the same lecture by the same instructor on the same day and the same homework assignments and due dates. The design is quasi-experimental, but students were not aware of the testing mode at registration. Two basic questions examined were as follows: (a) Do paper-and-pencil and computer-based tests (CBTs) measure knowledge and skill in science, technology, engineering, and mathematics Calculus II in a consistent manner? (b) How does the knowledge and skill gained by students in a fully computer-based Calculus II class compare to students in a class requiring pencil-and-paper tests and hence some paper-and-pencil work. These results indicate that CBTs are as consistent with PPTs as CBTs are with themselves. Results are also consistent with classes using PPTs having slightly better outcomes than fully computer-based classes using only computer assessments.

scholarly journals Experiences of Medical Students About Computer-based Testing: A Qualitative Study

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Saeideh Daryazadeh ◽  
Atiye Faghihi
Keyword(s):  
Data Analysis ◽  
Medical Students ◽  
New Technology ◽  
Assessment System ◽  
Medical Sciences ◽  
Structured Interviews ◽  
Computer Based ◽  
Computer Based Testing ◽  
Conventional Content Analysis ◽  
Modern Era

Background: In the modern era, the use of new technology is rapidly expanding, and the area of measurement and assessment in medical sciences has also been affected. Considering the increasing use of computer-based testing (CBT), and the viewpoint and experiences of students are paramount in this regard. Objectives: The present study aimed to describe the experiences of medical students regarding CBT. Methods: This qualitative research was conducted using conventional content analysis during 2018 - 2019. The participants included 10 pre-internship medical students who were selected via purposive sampling. Data were collected via semi-structured interviews, and data analysis was performed in MAXQDA 10. Results: Data analysis eventually led to the emergence of two themes, which were examinee-related components that consisted of two categories (experimental and preferred aspects) and test related components that consisted of three categories (technical, financial, and executive aspects). In addition, each category had subcategories. Conclusions: The participants stated their experiences with CBT from different perspectives. Accordingly, CBT could be a proper alternative to paper-based testing if the weaknesses were resolved. Therefore, it is suggested that other CBTs be evaluated similar to the present study to investigate the views of the stakeholders involved in the assessment system.

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