Evaluating the Impact of Digital Innovations for Shaping the Future of Social Sciences

Authors

  • Amuche, Christian Igomu College of Postgraduate Studies, Taraba State University, Jalingo Author

DOI:

https://doi.org/10.66545/3vm3tz60

Keywords:

assessment, digital, evaluation, innovations, social sciences

Abstract

This paper evaluates the transformative impact of digital innovations on assessment and evaluation methodologies within the Social Sciences. As educational paradigms shift towards more integrated and technology-driven approaches, traditional assessment techniques are increasingly being supplemented, if not replaced, by digital tools and platforms that enhance the measurement of students' learning, engagement, and social competency. The paper examines a range of digital innovations—including adaptive testing, artificial intelligence driven analytics, and immersive simulation environments—that provide more personalized and timely feedback to learners. It discusses the implications of these technologies for educators and institutions, emphasizing their potential to foster greater inclusivity, accessibility, and real time data utilization in assessing complex social phenomena. Furthermore, this article assesses the ethical considerations surrounding data collection and privacy in digital assessments, advocating for responsible innovations in the field. Ultimately, the findings suggest that embracing digital innovations in assessment and evaluation will be crucial for shaping the future of social sciences education, equipping learners with the skills necessary to navigate an increasingly complex and interconnected world.    

References

Canbek, N. G., & Mutlu, M. E. (2016). On the track of Artificial Intelligence: Learning with intelligent personal assistants. Journal of Human Sciences, 13(1), 592–601.

Chamizo-Gonzalez, J. Cano, E., Grande, E. U. Colomina C. M. (2015). Educational data mining for improving learning outcomes in teaching accounting within higher education. International Journal of Information and Learning Technology. 32(5):272-285. DOI: 10.1108/IJILT-08-2015-0020

Dennen and Burner (2018). Information and communication technologies, and learning theories: Putting Pedagogy into Practice, https://api.semanticscholar.org/CorpusID:226954572}

Ertmer, P. A., & Ottenbreit-Leftwich, A. (2013). Removing obstacles to the pedagogical changes required by Jonassen's vision of authentic technology-enabled learning. Computers & Education, 64, 175-182

Hada, A. A., Rayed, A. A., Ayesha, U., Omar, K. H., & Faroukh, K. H. (2023). Blockchain-based micro-credentialing system in higher education institutions: Systematic literature review. Knowledge-Based Systems, 265(3):110238. DOI: 10.1016/j.knosys.2022.110238

Hanna, G. S., & Dettmer, P. A. (2004). Assessment for effective teaching: Using context-adaptive planning. Boston, MA: Pearson A&B.

Harari, G. M., Muller, S. R. & Gosling, S. D. (2018). Naturalistic assessment of situations using mobile sensing methods. DOI: 10.1093/oxfordhb/9780190263348.013.14

Harris, C. J., Krajcik, J. S., Pellegrino, J. W., & DeBarger, A. H. (2019). Designing knowledge in-use assessments to promote deeper learning. Educational Measurement: Issues and Practice, 38(2), 53–67.

ITU, (2023). Global offline population steadily declines to 2.6 billion people in 2023. https://www.itu.int/itu-/reports/statistics/2023/10/10/ff23-internet-use/

Jiao, H., & Lissitz, R. (2020). Application of artificial intelligence to assessment. Information Age Publishing.

Kim, K. H. (2011). The creativity crisis: The decrease in creative thinking scores on the torrance tests of creative thinking. Creativity Research Journal, 23, 285-295.https://doi.org/10.1080/10400419.2011.627805

Latif, E., Zhai, X., Amerman, H., & He, X. (in press). Automatic scoring platform for AI-based formative assessment. In Z. X. & K. J. (Eds.), Uses of Artificial Intelligence in STEM Education. Oxford University Press,

Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1–24, https://doi.org/10.1016/j.ijedro.2020.100012

Nuha, M. A. (2018). Advantages and challenges of using e-assessment. International Journal of Information and Education Technology. 8(1):34-37, DOI: 10.18178/ijiet.2018.8.1.1008

Olurinola, O. (2024). Digital technologies for assessment. https://mgiep.unesco.org/article/digital-technologies-for-assessments

Pan, Y. C. (2024). A work-based approach for improving students' performance in the college general English class. English Language Teaching Educational Journal, 7(2), 65-78.

Quin, F., Weyns, D. Galster, M. & Silva C. C. (2024). A/B testing: A systematic literature review. Journal of Systems and Software, Volume 211, May 2024, https://doi.org/10.1016/j.jss.2024.112011

Veletsianos, G. (2020). A definition of emerging technologies for education. Emerging Technologies in Distance Education. (pp.3-22). Athabasca University Press.

Young L. (2024). The evolution of assessment methods: From paper-based to digital solution. https://www.turnitin.com/blog/the-evolution-of-assessment-methods-from-paper-based-to digital-solutions

Downloads

Published

2025-06-03

How to Cite

Evaluating the Impact of Digital Innovations for Shaping the Future of Social Sciences . (2025). Journal of Innovations in Educational Assessment, 7(2), 138-156. https://doi.org/10.66545/3vm3tz60

Similar Articles

1-10 of 18

You may also start an advanced similarity search for this article.