
A Classification Approach with Machine Learning Methods for Technical Problems of Distance Education: Turkey Example
By: Rıdvan Yayla, Halime Yayla, Gizem Ortaç and Turgay Bilgin
References
- Albayrak, M., Topal, K., & Altıntaş, V. (2017). Data Analysis on Social Media: Twitter. Suleyman Demirel University The Journal of Faculty of Economics, Special Issue, 22(15), 1991–1998.
https://dergipark.org.tr/tr/pub/sduiibfd/issue/53208/710653 - Alsadi, M. S., Ghnemat, R., & Awajan, A. (2019). Accelerating Stochastic Gradient Descent using Adaptive Mini-Batch Size. In Proceedings of the 2nd International Conference on new Trends in Computing Sciences (ICTCS) (pp. 1–7). DOI: 10.1109/ICTCS.2019.8923046
- Baran, H. (2020). The Measurement and Evaluation in Open and Distance Learning. Açıköğretim Uygulamaları ve Araştırmaları Dergisi [The Journal of Open Education Applications and Research], 6(1), 28–40.
https://dergipark.org.tr/tr/pub/auad/issue/55639/761239 - Başaran, M., Doğan, E., Karaoğlu, E., & Şahi̇n, E. (2020). A Study On Effectiveness Of Distance Education, As A Return Of Coronavirus (Covid-19) Pandemic Process. Academia Journal of Educational Research, 5(2), 368–397.
https://dergipark.org.tr/tr/pub/egitim/issue/54643/753149 - Çekerol, K. (2020). Türkiye’de uzaktan öğretime geçiş sürecinde üniversitelerin değişen idari yapıları [The changing administrative structures of the universities in the process to distance education in Turkey]. Açıköğretim Uygulamaları ve Araştırmaları Dergisi [The Journal of Open Education Applications and Research], 6(2), 54–75.
https://dergipark.org.tr/tr/pub/auad/issue/55662/761356 - Dhawan, S., Singh, K., & Chauhan, P. (2019). Sentiment Analysis of Twitter Data in Online Social Network, In Proceeding of the International Conference on Signal Processing, Computing and Control (ISPCC) (pp. 255–259). DOI: 10.1109/ISPCC48220.2019.8988450
- Dietrich, N., Kentheswaran, K., Ahmadi, A., Teychené, J., Bessière, Y., Alfenore, S., … Hébrard, G. N. E. (2020). Attempts, Successes, and Failures of Distance Learning in the Time of COVID-19. Journal of Chemical Education, 97(9), 2448–2457. DOI: 10.1021/acs.jchemed.0c00717
- Duman, A. (1992). Yetişkin Eğitimi Açısından Türkiye’deki Uzaktan Eğitim Uygulamalarına Bir Bakış [An Overview of The Distance Education Applications in Turkey In Terms of Adult Education]. Ankara University Journal of Faculty of Educational Sciences (JFES), 25(1), 285–293.
https://dergipark.org.tr/tr/pub/auebfd/issue/47777/603623 - Fatoni Arifiati, N., Nurkhayati, E., Nurdiawati, E., Pamungkas, F. G., Adha, S., … Azizi, E. (2020). University Students Online Learning System During Covid-19 Pandemic: Advantages, Constraints and Solutions. Systematic Reviews in Pharmacy, 11(7), 570–576.
http://www.sysrevpharm.org/index.php?mno=9626 - Fojtík, R. (2018). Problems Of Distance Education. International Journal of Information and Communication Technologies in Education, 7(1), 14–23. DOI: 10.2478/ijicte-2018-0002
- Günçe, E., & Carus, A. (2020). Gender and Interest Area Analysis on Twitter using Machine Learning Algorithms. European Journal of Science and Technology, Ejosat Special Issue 2020 (ISMSIT), 187–194. DOI: 10.31590/ejosat.819722
- Huda, N. S., Mubarok, M. S., & Adiwijaya. (2019). A Multi-label Classification on Topics of Quranic Verses (English Translation) Using Backpropagation Neural Network with Stochastic Gradient Descent and Adam Optimizer. In Proceedings of the 7th International Conference on Information and Communication Technology (ICoICT) (pp. 1–5). DOI: 10.1109/ICoICT.2019.8835362
- Kabir, F., Siddique, S., Kotwal, M. R. A., & Huda, M. N. (2015). Bangla text document categorization using Stochastic Gradient Descent (SGD) classifier. In Proceedings of the 2015 International Conference on Cognitive Computing and Information Processing (CCIP) (pp. 1–4). DOI: 10.1109/CCIP.2015.7100687
- Keskin, M., & Özer Kaya, D. (2020). Evaluation of Students’ Feedbacks on Web-Based Distance Education in the COVID-19 Process. İzmir Katip Çelebi University Faculty of Health Science Journal, 5(2), 59–67.
https://dergipark.org.tr/tr/pub/ikcusbfd/issue/55773/754174 - Koç, E. S. (2021). Examining the Compatibility of Primary Education Curricula for Distance Education Became Common After COVID-19. International Anatolia Academic Online Journal, 7(1), 24–36.
https://dergipark.org.tr/tr/pub/iaaoj/issue/59568/846418 - Kurnaz, A., Kaynar, H., Şentürk Barışık, C., & Doğrukök, B. (2020). Teachers’ Views On Distance Learning. Milli Eğitim Dergisi [National Education Journal], Special Issue, 49(1), 293–322. DOI: 10.37669/milliegitim.787959
- Mandloi, L., & Patel, R. (2020). Twitter Sentiments Analysis Using Machine Learning Methods, In Proceedings of the International Conference for Emerging Technology (INCET) (pp. 1–5). DOI: 10.1109/INCET49848.2020.9154183
- Matošević, G., & Bevanda, V. (2020). Sentiment analysis of tweets about COVID-19 disease during pandemic. In Proceedings of the 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) (pp. 1290–1295). DOI: 10.23919/MIPRO48935.2020.9245176
- Minab, S. S., Jalali, M., & Moattar, M. H. (2015). A new sentiment classification method based on hybrid classification in Twitter. In Proceedings of the 2015 International Congress on Technology, Communication and Knowledge (ICTCK) (pp. 295–298). DOI: 10.1109/ICTCK.2015.7582685
- Mukhtar, K., Javed, K., Arooj, M., & Sethi, A. (2020). Recommendations for online learning during COVID-19 pandemic era. Pakistan Journal of Medical Sciences, 36(COVID19-S4), 27–31. DOI: 10.12669/pjms.36.COVID19-S4.2785
- Özoran, B. A. (2020). An Analysis on Twitter Usage of Brands in Covid-19 Pandemics. Van Yüzüncü Yıl University The Journal of Social Sciences Institute, Outbreak Diseases Special Issue, 429–458.
https://dergipark.org.tr/tr/pub/yyusbed/issue/56115/772121 - Pete, J., & Soko, J. (2020). Preparedness for online learning in the context of Covid-19 in selected Sub-Saharan African countries. Asian Journal of Distance Education, 15(2), 37–47.
https://www.asianjde.org/ojs/index.php/AsianJDE/article/view/483 - Petryshen, O. I., Hrytsiuk, M. I., Chornenka, Z. A., & Halysh, I. V. (2020). Remote Training Of Medical Students: Advantages And Disadvantages. Journal of Education, Health and Sport, 10(5), 276–281. DOI: 10.12775/JEHS.2020.10.05.029
- Prakruthi, V., Sindhu, D., & Anupama Kumar, D. S. (2018). Real Time Sentiment Analysis Of Twitter Posts, In Proceedings of the 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS) (pp. 29–34). DOI: 10.1109/CSITSS.2018.8768774
- Rashid, N., & Rashid, M. (2012). Issues And Problems In Distance Education. Turkish Online Journal of Distance Education, 13(1), 20–26.
https://dergipark.org.tr/tr/pub/tojde/issue/16899/176116 - Schrager, A. (2020, May 3). The Post-Pandemic University Covid-19 will reshape how we think about higher education and online learning.
https://www.city-journal.org/post-pandemic-higher-education - Şen, Ö., & Kızılcalıoğlu, G. (2020). Determining The Views Of University Students And Academics On Distance Education During The Covid-19 Pandemic. International Journal of 3D Printing Technologies and Digital Industry, 4(3), 239–252. DOI: 10.46519/ij3dptdi.830913
- Sözen, N. (2020). An Investigation On Distance Education Applications In The Covid 19 Process. Eurasian Journal of Researches in Social and Economics (EJRSE), 7(12), 302–319.
https://dergipark.org.tr/tr/pub/asead/issue/58844/821764 - TRT EBA [@trt_eba]. (2020, March 15). #UzaktanEğitim [#DistanceEducation]. Twitter.
https://twitter.com/search?q=%23UzaktanE%C4%9Fitim - Umair, N., Saeed, Z., Ahmad, M., Amir, H., Akmal, B., & Ahmad, N. (2020). Multi-class Classification of Bi-lingual SMS using Naive Bayes Algorithm. In Proceedings of the 2020 IEEE 23rd International Multitopic Conference (INMIC) (pp. 1–5). DOI: 10.1109/INMIC50486.2020.9318153
- Xiao, J., & He, W. (2020). The Emergency Online Classes During COVID-19 Pandemic: A Chinese University Case Study. Asian Journal of Distance Education, 15(2), 21–36.
https://www.asianjde.org/ojs/index.php/AsianJDE/article/view/488 - Yavuz, M., Kayalı, B., Balat, Ş., & Karaman, S. (2020). Review Of Distance Learning Applications In The Universities In The Covid-19 Period. Milli Eğitim Dergisi [National Education Journal], Special Issue, 49(1), 129–154. DOI: 10.37669/milliegitim.784822
- Yılmaz, E., & Güner, B. (2020). Evaluation Of Distance Education Services Provided To Students At Different Education Levels According To Parents’ Opinions. Milli Eğitim Dergisi [National Education Journal], Special Issue, 49(1), 477–503. DOI: 10.37669/milliegitim.777353
DOI: https://doi.org/10.5944/openpraxis.13.3.215 | Journal eISSN: 2304-070X
Language: English
Page range: 312 - 322
Submitted on: Mar 10, 2021
Accepted on: Sep 30, 2021
Published on: Dec 31, 2021
Published by: International Council for Open and Distance Education (ICDE)
In partnership with: Paradigm Publishing Services
© 2021 Rıdvan Yayla, Halime Yayla, Gizem Ortaç, Turgay Bilgin, published by International Council for Open and Distance Education (ICDE)
This work is licensed under the Creative Commons Attribution 4.0 License.