Development of an Educational Software for Diagnosis in Oral Medicine and Evaluation of Dental Students’ Attitudes: An Educational Intervention

Document Type : Original Article

Authors

1 Department of Oral Medicine, School of Dentistry, Zanjan University of Medical Sciences, Zanjan, Iran

2 Dentist, private practice, Zanjan, Iran

3 Department of Community Medicine, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.

4 Mahdavi Blvd, Zanjan dental school, Zanjan, Iran

Abstract

Background: An oral examination might reveal important diagnostic information regarding a patient’s general health. There are several natural changes in the soft tissue structures of the mouth that may resemble a pathological condition. The aim of this research was to develop an educational web- based application for diagnosis in oral medicine and evaluation of the students’ attitudes towards it. Methods: This educational intervention involved one sample group and was conducted from September to December 2019. In the first step, the educational software was designed based on the ADDIE instructional design model. In the second step, 30 dental students were selected by census sampling, and their attitudes towards the designed educational web application were assessed. The web-based educational application was developed using the asp.net web form framework and the #c programming language. The standard kaplan educational product questionnaire was used to assess dental students’ attitudes. Descriptive statistics including the mean, standard deviation, percentage, and frequency were used. Statistical significance was calculated for the components of the questionnaire using the one sample t-test and the cutoff point of 3. SPSS V26 was used to analyze the tests. Results: The majority of students had positive attitudes in all 12 domains of the questionnaire including objectives (P=0.0001), assessment (P=0.0001), practice (P=0.0001), examples (P=0.0001), information (P=0.001), multimedia (P=0.028), overviews (P=0.011), integration (P=0.144), motivation (P=0.0001); organization (P=0.003), usability (P=0.0001), and personalization (P=0.144) which were significantly greater than average and were acceptable. Despite the difference between the two domains (integration and personalization) with the average score, no statistically significant difference was seen. Conclusion: The innovative educational software was successfully developed. The results revealed that students were extremely satisfied with the quality of the educational software. As a result, it can be effectively employed as a teaching aid when combined with conventional education.

Keywords

References

Canaan TJ, Meehan SCJDCoNA. Variations of structure and app e a r a nce.20 0 4;49 (1):1. doi:10.1016/j. cden.2004.07.002.
Bruch JM, Treister NS. Variants of Normal and Common Benign Conditions. Clinical Oral Medicine and Pathology: Springer; 2009.p.17-26. doi:10.1007/978-1-60327-520-0_2.
Cicciù M, Cervino G, Fiorillo L, D’Amico C, Oteri G, Troiano G, Zhurakivska K, Lo Muzio L, Herford AS, Crimi S, Bianchi A. Early diagnosis on oral and potentially oral malignant lesions: a systematic review on the VELscope® fluorescence method. Dentistry journal. 2019 Sep 4; 7 (3):93. doi:10.3390/dj7030093.
Selwyn N. The use of computer technology in university teaching and learning: a critical perspective. Journal of computer assisted learning. 2007 Apr; 23 (2):83-94. doi:10.1111/j.1365-2729.2006.00204.x.
Eckleberry-Hunt J, Tucciarone J. The challenges and opportunities of teaching “Generation Y”. Journal of graduate medical education. 2011 Dec;3 (4):458- 61. doi:10.4300/JGME-03-04-15.
Burgess S, Sievertsen HH. Schools, skills, and learning: The impact of COVID-19 on education. VoxEu. org. 2020 Apr 1;1 (2).
Mohammadimehr M. eLearning as an educational response to COVID-19 epidemic in Iran: The role of the learners support system. Future of Medical Education Journal. 2020;10 (3):64-5.
Chatti MA, Jarke M, Frosch-Wilke D. The future of e-learning: a shift to knowledge networking and social software. International journal of knowledge and learning. 2007 Jan 1;3 (4-5):404-20. doi:10.150 4/ I J K L .20 07.016702.
Gümüş S. Rapid content production and delivery in e-learning environments: Use of Adobe Presenter, MS PowerPoint, Adobe Connect. Procedia-Social and Behavioral Sciences. 2010 Jan 1;9:805-9.
Kumar PM, Gottumukkala SN, Ramesh KS, Bharath TS, Penmetsa GS, Kumar CN. Effect of e-learning methods on dental education: An observational study. Journal of Education and Health Promotion. 2020;9. doi:10.4103/jehp. jehp_209_20.
Nicoll P, MacRury S, Van Woerden HC, Smyth K. Evaluation of technology- enhanced learning programs for health care professionals: systematic review. Journal of medical Internet research. 2018 Apr 11;20 (4):e9085. doi:10.2196/jmir.9085.
Mahmoodi F, Habibi Ramiani E, Babazadeh R. Effective Factors on The Acceptance of Mobile Learning Among Students of Tabriz University and Tabriz University of Medical Sciences. Education Strategies in Medical Sciences. 2017 Nov 10;10 (6):438 - 46.
Babazadeh-Kamangar M, Jahanian I, Gholinia H, Abbaszadeh H. A Preliminary Study of the Effect of Mobile-Based Education on Dental Students’ Learning in Practical Course of Oral Pathology. J Med Educ Dev. 2016;9 (22):21-6.
Wu PH, Kuo CH, Wu PL, Wu TH. Design a competence-based Networked Learning system: using sequence Control as Example. Current Development in Technology-Assisted Education. 2006;2:787-91. 
Woelber  JP,  Hilbert  TS,  Ratka‐ Krüger P. Can easy‐to‐use software deliver effective e‐learning in dental education? A randomised controlled study. European Journal of Dental Education. 2012 Aug;16 (3):187-92. d o i :10 .1111/ j.16 0 0 - 0 579. 2 012 . 0 0 741. x.
Jalali P, Gholizadeh Z, Soltani MK, Kouhsoltani M. Design and Evaluation of DentAll Mobile Software for Dental Education. Journal of Advances in Medical Education & Professionalism. 2021 Oct;9 (4):221. 
Duncan V, Vokey S, Gordon S, Helwig M, Chatterley T. Mobile device use in pharmacy: a multi-institutional study. Journal of the Canadian Health Libraries Association/Journal de l’Association Des Bibliothèques de La Santé Du Canada. 2015. doi:10.5596/c15 - 021.
Khatoon B, Hill KB, Walmsley AD. Dental students’ uptake of mobile technologies. Br Dent J. 2014;216 (12):669- 73. doi:10.1038/sj.bdj.2014.523.
Abdull Mutalib AA, Jaafar MH. A systematic review of health sciences students’ online learning during the COVID-19 pandemic. BMC Medical Education. 2022 Dec;22 (1):1-34. doi:10.1186/s12909- 022- 03579-1.
ichols Hess A, Greer KJCiil. Designing for engagement: Using the ADDIE model to integrate high-impact practices into an online information literacy course. 2016;10 (2):6. doi:10.15760/ comminfolit.2016.10.2.27.
Kaplan I. Kaplan Educational Product Evaluation Checklist 2012 [V4:[Available from: https://kaplan.com/wp-content/ uploads/2016/01/Kaplan-Way _Checklist_ Summary_Sheet.pdf.
Brown J, Kurzweil M. Engineering learning at Kaplan University. Ithaka S+ R. doi. 2016 Oct 6;10.
Azin N, Ali N, Arezoo E, Alireza A. Comparison of E-learning and traditional classroom instruction of dental public health for dental students of Shahid Beheshti dental school during 2010-2011.
Chao SH, Brett B, Wiecha JM, Norton LE, Levine SA. Use of an online curriculum to teach delirium to fourth‐ year medical students: A comparison with lecture format. Journal of the American Geriatrics Society. 2012 Jul;60 (7):1328-32. doi:10.1111/j.1532-5415.2012.04035.x.
Alizadeh A, Sheikhi M, Vakili MM, Nourian A. Live demonstration versus multimedia: A comparison of two educational methods of orthodontic dental cast trimming. Journal of Advances in Medical Education & Professionalism. 2022 Apr;10 (2):120.
Walmsley AD, White DA, Eynon R, Somerfield L. The use of the Internet within a dental school. European journal of dental education. 2003 Feb;7 (1):27-33. doi:10.1034/j.1600-0579.2003.00268.x.
Biance MB, Carr-Chellman AA. Exploring Qualitative Methodologies In Online Learning Envrionments. The Quarterly Review of Distance Education. 2002;3 (3):251-60.
Al‐Taweel FB, Abdulkareem AA, Gul SS, Alshami ML. Evaluation of technology‐ based learning by dental students during the pandemic outbreak of coronavirus disease 2019. European Journal of Dental Education. 2021 Feb;25 (1):183-90. d o i :10 .1111/e j e .12 58 9.
Barsuk JH, Cohen ER, McGaghie WC, Wayne DB. Long-term retention of central venous catheter insertion skills after simulation-based mastery learning. Academic Medicine. 2010 Oct 1;85 (10):S9- 12. doi:10.1097/ACM.0b013e3181ed436c
Shelburne WA. E-book usage in an academic library: User attitudes and behaviors. Library collections, acquisitions, & technical services. 2009 Apr 1;33 (2-3):59-72. doi:10.1080/146490 55. 20 0 9.1076 6234.
Kim SJ, Shin H, Lee J, Kang S, Bartlett R. A smartphone application to educate undergraduate nursing students about providing care for infant airway obstruction. Nurse education today. 2017 Ja n 1;48:145 -52. doi:10.1016/j. ne dt.2016.10.0 06.
Nourian A, Akbari Farmed S, Motamed N. Mobile learning readiness in dental students of Zanjan university of medical sciences in 2018-2019. Journal of Medical Education Development. 2020 Nov 10;13 (38):55-64. doi:10.29252/edcj.13.38.55.
Mosa ASM, Yoo I, Sheets LJBmi, making d. A systematic review of healthcare applications for smartphones. 2012;12 (1):1-31.  d oi:10.1186/1472 - 69 47-12 - 67.

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