Quantitative Analysis of Academic Performance and Temporal Efficiency Using Virtual Simulation Based on Case Studies: Monitoring Learning Outcomes with a Focus on Evaluative Metadata
DOI:
https://doi.org/10.56294/dm20251238Keywords:
Educational metadata, virtual simulation, academic efficiency, data-driven decision-making, learning assessment, correlation analysisAbstract
Introduction: digital platforms currently facilitate the recording of metadata relevant to learning monitoring. In higher education, it is feasible to apply resolution time and grades obtained in virtual environments as indicators of efficiency and academic performance.
Method: the research was quantitative in nature. The study was descriptive and quasi-experimental. The population consisted of 152 students enrolled in the online early childhood education programme at the National University of Education in Ecuador. A non-probabilistic, intentional and selective sample of 29 students was used. A virtual assessment simulator was developed on the Moodle platform for data collection. A method was developed to compare resolution time records (automatic metadata) and the grades obtained (pre-test and post-test).
Results: after the intervention, a notable improvement in grades was observed (mean pre-test = 6.79; mean post-test = 8.28; t = −5.711; p < 0.001). The average time spent decreased from 29 minutes 12 seconds to 22 minutes 11 seconds (t = 45.241; p < 0.001), indicating higher temporal efficiency. Pearson’s correlation showed a weak and non-significant association between time spent and final grade (r = 0.199; p = 0.300). Patterns of efficiency throughout the assessment were described using scatter plots.
Conclusion: the study demonstrated the analytical potential of metadata as evaluative analysis tools. Virtual simulation succeeded in optimising students' academic performance. It is recommended that metadata be used to personalise teaching strategies, promote data-driven teaching decisions, and create more adaptive and equitable environments.
References
1. Arsih F, Fadilah M, Ardi, Hidayati N, Hervi F, Sakinah S. Preserving culture, enhancing learning: A meta-analysis of the effects of traditional games on learning. Multidiscip Rev. 2026;9(1).
2. Dalisaymo LM. Assessing Student Dependence on Artificial Intelligence Tools. Int J Technol Learn. 2025;32(2):67–81.
3. Xu Y, Qiu S, Chen J, Sun J, Li JB. Chinese early childhood educators’ manifestations of social-emotional competence at work: A qualitative study. Teach Teach Educ. 2025;165.
4. Brinco N de S. Curadoria digital e ciência aberta: organização dos anais do ENPEH e Perspectivas (1988-2020). Rev História Hoje [Internet]. el 10 de julio de 2025 [citado el 31 de julio de 2025];14(31). Disponible en: https://rhhj.anpuh.org/RHHJ/article/view/1325
5. Muñoz BR, Hernandez D, Ferrell S, Cleveland S, Butcher J, Self S. Cultivating Excelencia: Empowering Online Hispanic Student Success in Private Christian Universities. Int J Divers Educ. 2025;25(2):145–68.
6. Lopes LF, Cavazzani ALM. Education for peace and new technologies: challenges and possibilities in contemporary Brazil. Acta Sci - Educ. 2025;47(1):e65696.
7. Piseth N, Soth S, Socheath M. Evidence-Based Curriculum for a Master’s Degree in School Principal Education. Int J Pedagogy Curric. 2025;32(2):127–41.
8. Wilhelmsen T, Lekhal R, Rydland V, Coplan RJ. Exploring the role of early childhood educators’ emotion socialization strategies in the development of young children’s social and non-social play behaviors. Early Child Res Q. 2025;73:92–100.
9. Zhu S, Theerapan S, Chaiyason N. Gender-inclusive choral education in Chinese primary schools: Teacher preparedness and systemic barriers in Changzhou, Jiangsu. Multidiscip Rev. 2026;9(1).
10. Ncube MM, Ngulube P. Mapping theoretical approaches: a scoping review of data analytics in higher education. Discov Educ. 2025;4(1).
11. Fitzsimons S, Smith DS. “Just plough on and pretend it’s not happening”: Understanding burnout in teacher educators in Ireland and the United Kingdom. Int J Educ Res Open. 2025;9.
12. Tuan LC, Lap TQ, Nguyen DK, Trang VTT, Trinh VTK, Vy LT, et al. Learner’s Awareness of Metacognitive Strategies in Listening: A Case of English Majors at a University in the Mekong Delta of Vietnam. Lang Relat Res. 2026;16(3):179–204.
13. Saeteros ZD, Zamora MR. Maximizando el éxito estudiantil: El proceso del seguimiento académico en la educación superior como estrategia de rendimiento, asistencia y apoyo. Rev Investig Form Innov Apl Téc - Tecnológicas. el 30 de diciembre de 2024;6(2):89–97.
14. Khan MA, Rehman A, Shah AA, Abbas S, Alharbi M, Ahmad M, et al. Navigating the future of higher education in Saudi Arabia: implementing AI, machine learning, and big data for sustainable university development. Discov Sustain. 2025;6(1).
15. Wendie AA, Berhanu KZ. Practices and challenges of implementing early childhood care and education in Bahir Dar city administration, Ethiopia. Int J Child Care Educ Policy. 2025;19(1).
16. Hinostroza EMF, Mendoza DJ, Cejas MN, Trujillo EPP. Linear regression model to predict the use of artificial intelligence in experimental science students. Int Electron J Math Educ. 2025;20(1):em0807.
17. Mendoza D, Nieto-Sánchez ZC, Vergel-Ortega M. Technology and mathematics as a cognitive component. J Phys Conf Ser. noviembre de 2019;1414(1):012007.
18. Cejas MF, Liccioni EJ, Murillo Naranjo ME, Mendoza Velazco DJ. Business Management: Communication as a Key Competence. Икономически Изследвания. 2024;(3):166–80.
19. Shonhaji SM. The Latent Domains of Religious Moderation Attitudes and Intercultural Competencies Within the Contexts of Multireligious and Multicultural Societies. J Popul Soc Stud. 2026;34:158–77.
20. Trujillo-Juárez SI, Chaparro-Sánchez R, Morita-Alexander A, Escudero-Nahón A, Delgado-González A. Strengthening teacher digital competence in higher education through micro-courses: a systematic literature review. Discov Educ. 2025;4(1).
21. Navarro M, Cejas CMM, Mendoza MVD, Marieta AHS, Silvana VÁG. Virtual platforms and the perception of university students in Ecuadorian higher education during the Covid-19 pandemic. RISTI - Rev Iber Sist E Tecnol Inf. 2021;2021(E43):647–63.
22. Wendie AA, Berhanu KZ. Practices and challenges of implementing early childhood care and education in Bahir Dar city administration, Ethiopia. Int J Child Care Educ Policy. 2025;19(1).
23. Zhao X, Byun S, Jeon L. Professional commitment and satisfaction of teachers in head start within a systemically marginalized community: associations with perceived psychological distress and physical safety. Soc Psychol Educ. 2025;28(1).
24. Hinojosa-Torres C, Blázquez-Sánchez D, Barahona-Fuentes G, Espoz-Lazo S, Zavala-Crichton JP, Hurtado-Guerrero M, et al. Competency assessment in initial teacher training in physical education: a systematic review. Rev Digit Investig En Docencia Univ. 2025;19(1).
25. Li F. The Extent of Technology Integration in Flipped English Classrooms in Language Education: A Multi-dimensional Exploration. World J Engl Lang. el 12 de julio de 2025;16(1):p151.
26. Chimbutane F, Karachiwalla N, Herrera-Almanza C, Leight J, Lauchande C. The effect of teacher training and community literacy programming on teacher and student outcomes. J Dev Econ. el 1 de enero de 2026;178:103578.
27. Ekeh MC, Hadebe-Ndlovu B. Tech-Enhanced Teacher Training: Evaluating Pre-Service Early Childhood Teachers’ Experiences and Perceptions. Int J Learn Teach Educ Res. 2025;24(4):72–92.
28. Kewalramani S, Devi A, Ng A. Supporting Early Childhood Preservice Teachers to Effectively Integrate STEM in Their Future Teaching Practice. Educ Sci. 2025;15(2).
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Tania Monserrath Calle García, Derling José Mendoza Velazco , Viviana Priscila Neira Quinteros , Martha Cecilia Peñas Moreno , Omar Paul Segarra Figueroa (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.