¹Alexandr Volkov, ²Tatiana Otbetkina, ³Anna Vidmanova

^1,2,3Berlin Technological Academy HI GmbH, Georgenstr. 35 10117 Berlin, Germany; ¹https://orcid.org/%200009-0000-8834-1843,
²https://orcid.org/0000-0002-9793-2773,
³https://orcid.org/0009-0002-3465-0565

DOI : https://doi.org/10.47191/ijsshr/v6-i10-73

Google Scholar Download Pdf
ABSTRACT

Big data represents a significant decision-making tool in educational processes, allowing for not only improvements in the quality of education, but also the formation of effective strategies, allowing users to effectively make decisions based on the results of predictive and prescriptive analytics. In addition, educational data are used to analyze and predict student behaviors and learning outcomes to ensure the high quality of educational programs.Nevertheless, even though educational data offer significant opportunities, there are a few challenges associated with their effective and timely application, such as compatibility, data processing and storage, security, confidentiality, and ethics. This article reports on a study that aimed to determine whether the effectiveness of learning management could be enhanced through the development of a more rigorous academic environment and a stimulation intervention designed for a particular graduate program at a particular university. The study used data from several study groups. It collected qualitative and quantitative data to examine the impact of the environment and the stimulation of 173 students, as well as benchmark group data from 22 students. The results showed that exposure to a more rigorous academic environment with minimized gamification, as well as the application of a stimulation intervention, was successful in improving scores for several metrics. This article indicates the importance of updating and using educational data to enhance learning management, as well as the need to increase knowledge in this area.

KEYWORDS:

learning management; educational data; stimulating intervention

REFERENCES
1) Asiah, M., Nik Zulkarnaen, K., Safaai, D., Nik Nurul Hafzan, M. Y., Mohd Saberi, M., & Siti Syuhaida, S. (2019). A Review on Predictive Modeling Technique for Student Academic Performance Monitoring. MATEC Web of Conferences, 255, 03004. https://doi.org/10.1051/matecconf/201925503004

2) Bayazit, A., Apaydin, N., & Gönüllü, İ. (2022). Predicting At-Risk Students in an Online Flipped Anatomy Course Using Learning Analytics. Education Sciences, 12(9), 581. https://doi.org/10.3390/educsci12090581

3) Brown, A., Basson, M., Axelsen, M., Redmond, P., & Lawrence, J. (2023). Empirical Evidence to Support a Nudge Intervention for Increasing Online Engagement in Higher Education. Education Sciences, 13(2), 145. https://doi.org/10.3390/educsci13020145

4) Cano, A., & Leonard, J. D. (2019). Interpretable Multiview Early Warning System Adapted to Underrepresented Student Populations. IEEE Transactions on Learning Technologies, 12(2), 198–211. https://doi.org/10.1109/tlt.2019.2911079

5) Certificate for the Computer Program No. 2020612000, Russian Federation. Video data preprocessing program New Vision-Video preprocessing 1.0 : № 2020610996 : applied 02/03/2020 : publ. 02/13/2020 / Z. I. Sichinava, O. Yu. Zarechnaya, P. V. Molyanov, V. A. Nikolaev; applicant New Vision-Video-Emotions Limited Liability Company. - EDN PZHPEJ

6) Fan, S., Chen, L., Nair, M. S., Garg, S., Yeom, S., Kregor, G., Yang, Y., & Wang, Y. (2021). Revealing Impact Factors on Student Engagement: Learning Analytics Adoption in Online and Blended Courses in Higher Education. Education Sciences, 11(10), 608. https://doi.org/10.3390/educsci11100608

7) Florida International University increases graduation rates with Tableau. (2021). https://www.tableau.com. Retrieved December 16, 2022, from https://www.tableau.com/solutions/customer/florida-international-uni-versity-increases-graduation-rates-with-tableau

8) Hernández-García, N., Acquila-Natale, E., Chaparro-Peláez, J., & Conde, M. (2018). Predicting teamwork group assessment using log data-based learning analytics. Computers in Human Behavior, 89, 373–384. https://doi.org/10.1016/j.chb.2018.07.016

9) Improving Student Success With a Unified Approach to Data Analytics and AI - Databricks. (2020, December 16). Databricks. https://www.databricks.com/p/webinar/improving-student-success-with-a-unified-approach-to-data-analytics-and-ai

10) Intelligent Speech Analysis Service. (n.d.). ttps://rnd.2035.university/page31071673.html

11) Kolesnikova, K. The neurointerface will help students learn better. Rossiyskaya Gazeta. https://rg.ru/2021/03/07/nejrointerfejs-pomozhet-shkolnikam-luchshe-uchitsia.html

12) Li, C., Herbert, N., Yeom, S., & Montgomery, J. (2022). Retention Factors in STEM Education Identified Using Learning Analytics: A Systematic Review. Education Sciences, 12(11), 781. https://doi.org/10.3390/educsci12110781

13) Napier, A., Huttner-Loan, E., & Reich, J. (2020). Evaluando la Transferencia del Aprendizaje de MOOCs al Centro de Trabajo: Un Estudio de Caso en Educación para el Profesorado y Lanzando Innovación en Colegios. RIED: Revista Iberoamericana De Educación a Distancia, 23(2), 45. https://doi.org/10.5944/ried.23.2.26377

14) Rivadeneira, J., & Inga, E. (2023). Interactive Peer Instruction Method Applied to Classroom Environments Considering a Learning Engineering Approach to Innovate the Teaching–Learning Process. Education Sciences, 13(3), 301. https://doi.org/10.3390/educsci13030301

15) Samani, C., Atif, A., & Musial-Gabrys, K. (2022). Using Emotional Learning Analytics to Improve Students’ Engagement in Online Learning. ASCILITE Publications, e22129. https://doi.org/10.14742/apubs.2022.129

16) The neural network was taught to determine the emotions of schoolchildren through cameras for the Unified State Exam. It's true? And why? — The latest news of Perm and the region | Properm.ru. (2023). properm.ru. https://properm.ru/news/society/166674/

17) Ufa State Petroleum Technical University. (2021). Annual report on the results of the implementation of the University development program within the framework of the implementation of the strategic academic leadership program “Priority 2030” in 2021. https://rusoil.net/. Retrieved March 9, 2023, from https://rusoil.net/ru/priority2030/

18) What Our Eye Movements Can Tell Us – And How It’s Changing The World. (n.d.). https://news.itmo.ru/en/features/5_things/news/9680/

19) Sousa-Vieira, M. E., Ferrero-Castro, D., & López-Ardao, J. C. (2021). Design, development and use of a digital badges system in higher education. Applied Sciences, 12(1), 220. https://doi.org/10.3390/app12010220

Volume 06 Issue 10 October 2023