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Erschienen in: Education and Information Technologies 3/2021

03.11.2020

RETRACTED ARTICLE: Prediction of individual learning style in e-learning systems: opportunities and limitations in dental education

verfasst von: Vasily Movchun, Richard Lushkov, Nikolay Pronkin

Erschienen in: Education and Information Technologies | Ausgabe 3/2021

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Abstract

The aim of the article is to study the prediction model of an individual learning style in e-learning systems to enhance the effectiveness of dentistry education. In developing the model, Neil Fleming’s VARK concept of information perception was applied. The statistical data of the Russian Federal State Statistics Service on the students’ distribution in the field of preparation of dentists in higher educational institutions for 2018–19 was used to assess the current state of development of dental education and the possibilities of introducing e-learning systems. In order to achieve the goal set, the anonymous survey was conducted among dental students of the I.M. Sechenov First Moscow State Medical University (MSMU). To compare the state of dental education with the developed countries, the study provides a survey performed by the American Dental Association in the United States. The investigation among the MSMU students involved 18 male and 24 female participants. The correlation analysis of the relationships between different learning styles revealed the closest relation between auditory and visual learning. Since the correlation was negative (r = −0.500), the visual style was considered less developed. Based on the data obtained, a model for predicting an individual learning style based on a specially designed questionnaire was proposed to improve the e-learning of dental students. The information resulted from the current research will contribute to the promotion of a profound study of academic disciplines in the field of dental education by developing an e-learning system. Thus, the use of students’ cognitive skills could be improved.

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Literatur
Zurück zum Zitat Azzi, I., Jeghal, A., Radouane, A., Yahyaouy, A., & Tairi, H. (2020). A robust classification to predict learning styles in adaptive E-learning systems. Education and Information Technologies, 25, 437–448.CrossRef Azzi, I., Jeghal, A., Radouane, A., Yahyaouy, A., & Tairi, H. (2020). A robust classification to predict learning styles in adaptive E-learning systems. Education and Information Technologies, 25, 437–448.CrossRef
Zurück zum Zitat Bachari, E. E., Abelwahed, E. H., & Adnani, M. E. (2011). E-learning personalization based on dynamic learners’ preference. International Journal of Emerging Technologies in Learning, 3(3), 200–216. Bachari, E. E., Abelwahed, E. H., & Adnani, M. E. (2011). E-learning personalization based on dynamic learners’ preference. International Journal of Emerging Technologies in Learning, 3(3), 200–216.
Zurück zum Zitat Botelho, M. G., Agrawal, K. R., & Bornstein, M. M. (2018). An systematic review of e-learning outcomes in undergraduate dental radiology curricula—Levels of learning and implications for researchers and curriculum planners. Dentomaxillofacial Radiology, 47, 1–10. Botelho, M. G., Agrawal, K. R., & Bornstein, M. M. (2018). An systematic review of e-learning outcomes in undergraduate dental radiology curricula—Levels of learning and implications for researchers and curriculum planners. Dentomaxillofacial Radiology, 47, 1–10.
Zurück zum Zitat Brown, M., McCormack, M., Reeves, J., Brooks, D. C., Grajek, S., Alexander, B., Bali, M., Bulger, S., Dark, S., Engelbert, N., Gannon, K., Gauthier, A., Gibson, D., Gibson, R., Lundin, B., Veletsianos, G., & Weber, N. (2020). 2020 EDUCAUSE horizon report, teaching and (Learning ed.). Louisville: EDUCAUSE. Brown, M., McCormack, M., Reeves, J., Brooks, D. C., Grajek, S., Alexander, B., Bali, M., Bulger, S., Dark, S., Engelbert, N., Gannon, K., Gauthier, A., Gibson, D., Gibson, R., Lundin, B., Veletsianos, G., & Weber, N. (2020). 2020 EDUCAUSE horizon report, teaching and (Learning ed.). Louisville: EDUCAUSE.
Zurück zum Zitat Cherkasov, A. А., Bratanovskii, S. N., Koroleva, L. A., & Zimovets, L. G. (2019). Development of School Education in the Vologda Governorate (1725-1917). Part 1. European Journal of Contemporary Education, 8(1), 208–214. Cherkasov, A. А., Bratanovskii, S. N., Koroleva, L. A., & Zimovets, L. G. (2019). Development of School Education in the Vologda Governorate (1725-1917). Part 1. European Journal of Contemporary Education, 8(1), 208–214.
Zurück zum Zitat Dalmolin, A. C., Mackeivicz, G. A. O., Pochapski, M. T., Pilatti, G. L., & Santos, F. A. (2018). Learning styles preferences and e-learning experience of undergraduate dental students. Odontol UNESP, 47(3), 175–182.CrossRef Dalmolin, A. C., Mackeivicz, G. A. O., Pochapski, M. T., Pilatti, G. L., & Santos, F. A. (2018). Learning styles preferences and e-learning experience of undergraduate dental students. Odontol UNESP, 47(3), 175–182.CrossRef
Zurück zum Zitat Deborah, L. J., Sathiyaseelan, R., Audithan, S., & Vijayakumar, P. (2015). Fuzzy-logic based learning style prediction in e-learning using web interface information. Sadhana, 40(2), 379–394.MathSciNetCrossRef Deborah, L. J., Sathiyaseelan, R., Audithan, S., & Vijayakumar, P. (2015). Fuzzy-logic based learning style prediction in e-learning using web interface information. Sadhana, 40(2), 379–394.MathSciNetCrossRef
Zurück zum Zitat Dhupia, B., & Alameen, A. (2019). Adaptive eLearning system: Conceptual framework for personalized study environment. In International Conference on Advanced Informatics for Computing Research (pp. 334–342). Singapore: Springer.CrossRef Dhupia, B., & Alameen, A. (2019). Adaptive eLearning system: Conceptual framework for personalized study environment. In International Conference on Advanced Informatics for Computing Research (pp. 334–342). Singapore: Springer.CrossRef
Zurück zum Zitat Doroshina, V. Y., Sokhova, I. A., Polyakova, M. A., & Margaryan, E. G. (2019). Comparative evaluation of the effectiveness of oral care products in inflammatory diseases of the oral cavity, accompanied by teeth hyperesthesia. New Armenian Medical Journal, 13(3), 34–40. Doroshina, V. Y., Sokhova, I. A., Polyakova, M. A., & Margaryan, E. G. (2019). Comparative evaluation of the effectiveness of oral care products in inflammatory diseases of the oral cavity, accompanied by teeth hyperesthesia. New Armenian Medical Journal, 13(3), 34–40.
Zurück zum Zitat Dutsinma, L. I. F., & Temdee, P. (2020). VARK learning style classification using decision tree with physiological signals. Wireless Personal Communications, 1–22. Dutsinma, L. I. F., & Temdee, P. (2020). VARK learning style classification using decision tree with physiological signals. Wireless Personal Communications, 1–22.
Zurück zum Zitat El Fazazi, H., Samadi, A., Qbadou, M., Mansouri, K., & Elgarej, M. (2018). A learning style identification approach in adaptive E-learning system. In International Conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning (pp. 82–89). Cham: Springer. El Fazazi, H., Samadi, A., Qbadou, M., Mansouri, K., & Elgarej, M. (2018). A learning style identification approach in adaptive E-learning system. In International Conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning (pp. 82–89). Cham: Springer.
Zurück zum Zitat El-Seoud, M. S. A., Taj-Eddin, I. A. T. F., & Seddiek, N. (2014). E-learning and students’ motivation: A research study on the effect of E-learning on higher education. International Journal of Emerging Technologies in Learning, 9(4), 20–26.CrossRef El-Seoud, M. S. A., Taj-Eddin, I. A. T. F., & Seddiek, N. (2014). E-learning and students’ motivation: A research study on the effect of E-learning on higher education. International Journal of Emerging Technologies in Learning, 9(4), 20–26.CrossRef
Zurück zum Zitat Gurpinar, E., Alimoglu, M. K., Mamakli, S., & Aktekin, M. (2010). Can learning style predict student satisfaction with different instruction methods and academic achievement in medical education? Advances in Physiology Education, 34, 192–196.CrossRef Gurpinar, E., Alimoglu, M. K., Mamakli, S., & Aktekin, M. (2010). Can learning style predict student satisfaction with different instruction methods and academic achievement in medical education? Advances in Physiology Education, 34, 192–196.CrossRef
Zurück zum Zitat Kamal, A., & Radhakrishnan, S. (2019). Individual learning preferences based on personality traits in an E-learning scenario. Education and Information Technologies, 24(1), 407–435.CrossRef Kamal, A., & Radhakrishnan, S. (2019). Individual learning preferences based on personality traits in an E-learning scenario. Education and Information Technologies, 24(1), 407–435.CrossRef
Zurück zum Zitat Karagiannis, I., & Satratzemi, M. (2017). An adaptive mechanism for Moodle based on automatic detection of learning styles. Education and Information Technologies, 23(3), 1331–1357.CrossRef Karagiannis, I., & Satratzemi, M. (2017). An adaptive mechanism for Moodle based on automatic detection of learning styles. Education and Information Technologies, 23(3), 1331–1357.CrossRef
Zurück zum Zitat Kolekar, S. V., Pai, R. M., & Manohara Pai, M. M. (2017). Prediction of Learner’s profile based on learning styles in adaptive E-learning system. International Journal of Emerging Technologies in Learning, 12(6), 31–51.CrossRef Kolekar, S. V., Pai, R. M., & Manohara Pai, M. M. (2017). Prediction of Learner’s profile based on learning styles in adaptive E-learning system. International Journal of Emerging Technologies in Learning, 12(6), 31–51.CrossRef
Zurück zum Zitat Komarova, A., Tsvetkova, L., Kozlovskaya, S., & Pronkin, N. (2019). Organisational educational systems and intelligence business systems in entrepreneurship education. Journal of Entrepreneurship Education, 22(5), 1–15. Komarova, A., Tsvetkova, L., Kozlovskaya, S., & Pronkin, N. (2019). Organisational educational systems and intelligence business systems in entrepreneurship education. Journal of Entrepreneurship Education, 22(5), 1–15.
Zurück zum Zitat Kumar, A., Singh, N., & Ahuja, N. J. A. (2017). Learning Styles Based Adaptive Intelligent Tutoring Systems: Document Analysis of Articles Published Between 2001. And 2016. International Journal of Cognitive Research in Science, Engineering and Education, 5(2), 83–97.CrossRef Kumar, A., Singh, N., & Ahuja, N. J. A. (2017). Learning Styles Based Adaptive Intelligent Tutoring Systems: Document Analysis of Articles Published Between 2001. And 2016. International Journal of Cognitive Research in Science, Engineering and Education, 5(2), 83–97.CrossRef
Zurück zum Zitat Kundi, G. M., Nawaz, A., & Khan, S. (2010). The predictors of success for E-learning in higher education institutions (Heis) in N-W.F. P, Pakistan. Journal of Information Systems and Technology Management, 7(3), 545–578.CrossRef Kundi, G. M., Nawaz, A., & Khan, S. (2010). The predictors of success for E-learning in higher education institutions (Heis) in N-W.F. P, Pakistan. Journal of Information Systems and Technology Management, 7(3), 545–578.CrossRef
Zurück zum Zitat Kurilova, A., Lysenko, E., Pronkin, N., Mukhin, K., & Syromyatnikov, D. (2019). The impact of strategic outsourcing on the interaction market in entrepreneurship education. Journal of Entrepreneurship Education, 22(4), 1–11. Kurilova, A., Lysenko, E., Pronkin, N., Mukhin, K., & Syromyatnikov, D. (2019). The impact of strategic outsourcing on the interaction market in entrepreneurship education. Journal of Entrepreneurship Education, 22(4), 1–11.
Zurück zum Zitat Martin, J., & Maria, D. M. (2019). Adaptation using machine learning for personalized eLearning environment based on students preference. International Journal of Innovative Technology and Exploring Engineering, 8(10), 4064–4069.CrossRef Martin, J., & Maria, D. M. (2019). Adaptation using machine learning for personalized eLearning environment based on students preference. International Journal of Innovative Technology and Exploring Engineering, 8(10), 4064–4069.CrossRef
Zurück zum Zitat McAndrew, M., & Johnston, A. E. (2012). The role of social Media in Dental Education. Journal of Dental Education, 76(11), 1474–1481.CrossRef McAndrew, M., & Johnston, A. E. (2012). The role of social Media in Dental Education. Journal of Dental Education, 76(11), 1474–1481.CrossRef
Zurück zum Zitat Normadhi, N. B. A., Shuib, L., Nasir, H. N. M., Bimba, A., Idris, N., & Balakrishnan, V. (2019). Identification of personal traits in adaptive learning environment: Systematic literature review. Computers & Education, 130, 168–190.CrossRef Normadhi, N. B. A., Shuib, L., Nasir, H. N. M., Bimba, A., Idris, N., & Balakrishnan, V. (2019). Identification of personal traits in adaptive learning environment: Systematic literature review. Computers & Education, 130, 168–190.CrossRef
Zurück zum Zitat Onyejegbu, L. N., & Asor, V. E. (2011). An efficient Model for detecting Learning Style preferences in a personalized E-learning management system. Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Software Engineering, 1–8. Onyejegbu, L. N., & Asor, V. E. (2011). An efficient Model for detecting Learning Style preferences in a personalized E-learning management system. Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Software Engineering, 1–8.
Zurück zum Zitat Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: An emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 1–14.CrossRef Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: An emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 1–14.CrossRef
Zurück zum Zitat Prabha, V. (2013). Learning styles among the first year dental students. International Journal of Health Sciences & Research, 3(9), 22–28. Prabha, V. (2013). Learning styles among the first year dental students. International Journal of Health Sciences & Research, 3(9), 22–28.
Zurück zum Zitat RamyaSree, P., Bhuvaneswari, T., Reddy, V. V. S., & Kiran, J. S. (2019). Personalized E-learning system based on User’s performance and knowledge: An adaptive technique. International Journal of Recent Technology and Engineering, 8(4), 8695–8699. RamyaSree, P., Bhuvaneswari, T., Reddy, V. V. S., & Kiran, J. S. (2019). Personalized E-learning system based on User’s performance and knowledge: An adaptive technique. International Journal of Recent Technology and Engineering, 8(4), 8695–8699.
Zurück zum Zitat Rani, M., Nayak, R., & Vyas, O. P. (2015). An ontology-based adaptive personalized E-learning system, assisted by software agents on cloud storage. Knowledge-Based Systems, 90, 33–48.CrossRef Rani, M., Nayak, R., & Vyas, O. P. (2015). An ontology-based adaptive personalized E-learning system, assisted by software agents on cloud storage. Knowledge-Based Systems, 90, 33–48.CrossRef
Zurück zum Zitat Rao, G. K. L., Iskandar, Y. H. P., & Mokhtar, N. (2020). Understanding the nuances of E-learning in orthodontic education. Education and Information Technologies, 25, 307–328.CrossRef Rao, G. K. L., Iskandar, Y. H. P., & Mokhtar, N. (2020). Understanding the nuances of E-learning in orthodontic education. Education and Information Technologies, 25, 307–328.CrossRef
Zurück zum Zitat Rüdian, S., Vladova, G., Gundlach, J., Kazimzade, G., Pinkwart, N. (2019). Predicting culture and personality in online courses. In SLLL@ AIED (pp. 8-15). Rüdian, S., Vladova, G., Gundlach, J., Kazimzade, G., Pinkwart, N. (2019). Predicting culture and personality in online courses. In SLLL@ AIED (pp. 8-15).
Zurück zum Zitat Sachdev, R., Garg, K., & Singh, G. (2019). Preferred learning mode of education and dental students: A cross sectional study. Dental, 1(1) 2, 1–4.CrossRef Sachdev, R., Garg, K., & Singh, G. (2019). Preferred learning mode of education and dental students: A cross sectional study. Dental, 1(1) 2, 1–4.CrossRef
Zurück zum Zitat Santos, G. N. M., Leite, A. F., Figueiredo, P. T. D. S., Pimentel, N. M., Flores-Mir, C., de Melo, N. S., & De Luca Canto, G. (2016). Effectiveness of E-learning in oral radiology education: A systematic review. Journal of Dental Education, 80(9), 1126–1139.CrossRef Santos, G. N. M., Leite, A. F., Figueiredo, P. T. D. S., Pimentel, N. M., Flores-Mir, C., de Melo, N. S., & De Luca Canto, G. (2016). Effectiveness of E-learning in oral radiology education: A systematic review. Journal of Dental Education, 80(9), 1126–1139.CrossRef
Zurück zum Zitat Sheeba, T., & Krishnan, R. (2018). Prediction of student learning style using modified decision tree algorithm in e-learning system. In Proceedings of the 2018 International Conference on Data Science and Information Technology (pp. 85-90). Sheeba, T., & Krishnan, R. (2018). Prediction of student learning style using modified decision tree algorithm in e-learning system. In Proceedings of the 2018 International Conference on Data Science and Information Technology (pp. 85-90).
Zurück zum Zitat Shetty, S., Shetty, R., Halkai, R., Prasad, P., Adtani, P., & Shetty, S. (2019). Application of E-learning in dental radiology education at undergraduate level–a systematic review. Brazilian Dental Science, 22(4), 434–442.CrossRef Shetty, S., Shetty, R., Halkai, R., Prasad, P., Adtani, P., & Shetty, S. (2019). Application of E-learning in dental radiology education at undergraduate level–a systematic review. Brazilian Dental Science, 22(4), 434–442.CrossRef
Zurück zum Zitat Singh, R., Gupta, N., & Singh, G. (2016). Learning style and teaching methodology preferences of dental students. Journal of the Anatomical Society of India, 65, 152–155.CrossRef Singh, R., Gupta, N., & Singh, G. (2016). Learning style and teaching methodology preferences of dental students. Journal of the Anatomical Society of India, 65, 152–155.CrossRef
Zurück zum Zitat Truong, H. M. (2016). Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities. Computers in Human Behavior, 55, 1185–1193.CrossRef Truong, H. M. (2016). Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities. Computers in Human Behavior, 55, 1185–1193.CrossRef
Zurück zum Zitat Wang, R., & Liu, C. (2019). The relation of dental students’ learning styles to their satisfaction with traditional and inverted classroom models. BMC Medical Education, 19(1), 1–8.MathSciNetCrossRef Wang, R., & Liu, C. (2019). The relation of dental students’ learning styles to their satisfaction with traditional and inverted classroom models. BMC Medical Education, 19(1), 1–8.MathSciNetCrossRef
Zurück zum Zitat Yang, Y., Zhang, L., & Bridges, S. (2012). Blended learning in dentistry: 3-D resources for inquiry-based learning. Knowledge Management & E-Learning: An International Journal, 4(2), 217–230. Yang, Y., Zhang, L., & Bridges, S. (2012). Blended learning in dentistry: 3-D resources for inquiry-based learning. Knowledge Management & E-Learning: An International Journal, 4(2), 217–230.
Zurück zum Zitat Yang, J., Huang, Z. H., Gao, Y. X., & Liu, X. T. (2014). Dynamic learning style prediction method based on a pattern recognition technique. IEEE Transactions on Learning Technologies, 7(2), 165–177.CrossRef Yang, J., Huang, Z. H., Gao, Y. X., & Liu, X. T. (2014). Dynamic learning style prediction method based on a pattern recognition technique. IEEE Transactions on Learning Technologies, 7(2), 165–177.CrossRef
Metadaten
Titel
RETRACTED ARTICLE: Prediction of individual learning style in e-learning systems: opportunities and limitations in dental education
verfasst von
Vasily Movchun
Richard Lushkov
Nikolay Pronkin
Publikationsdatum
03.11.2020
Verlag
Springer US
Erschienen in
Education and Information Technologies / Ausgabe 3/2021
Print ISSN: 1360-2357
Elektronische ISSN: 1573-7608
DOI
https://doi.org/10.1007/s10639-020-10372-4

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