Skip to main content

General Characteristics of the Assisted E-Learning System in Computer Sciences

  • Conference paper
  • First Online:
Education, Research and Business Technologies

Abstract

Taking into consideration all the restrictions applied worldwide due to the Covid-19 pandemic in the recent couple of years, it is completely understandable why the educational system as well had to adapt and move all its activities online. Even though this kind of approach has turned out to have many advantages, there are certainly still things that could be improved and explored. The main objective of this paper is to highlight the importance and benefits of online learning tools which could assist students during their educational process, even under normal circumstances. Hence, we will analyse the characteristics of the current eLearning applications and what each one proposes for the automation of computer-assisted learning using the computer science field.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. McCracken, M., Almstrum, V., Diaz, D., Guzdial, M., Hagan, D., Ben-David Kolikant, Y., Laxer, C., Thomas, L., Utting, I., Wilusz, T.: A multi-national, multi-institutional study of assessment of programming skills of first-year CS students. ACM SIGCSE Bull., 125–180 (2001)

    Google Scholar 

  2. Woit, D., Mason, D.: Effectiveness of online assessment. ACM SIGCSE Bull., 137–141 (2003)

    Google Scholar 

  3. Mtebe, J. R., Raisamo, R. A.: Model for assessing learning management system success in higher education in sub-saharan countries (2014). https://www.researchgate.net/publication/286947507_A_Model_for_Assessing_Learning_Management_System_Success_in_Higher_Education_in_Sub-Saharan_Countries

  4. Bruce Joyce, M. W.: Models of Teaching. s.l.: Pearson (1999)

    Google Scholar 

  5. Director, D. L. B.: Computer assisted education. In: Theory Into Practice. s.l.:s.n., pp. 173–178 (2009)

    Google Scholar 

  6. Sharma, R.: Computer assisted learning—a study. Int. J. Adv. Res. Educ. Technol. (IJARET) 4(2) (2017)

    Google Scholar 

  7. Anon.: Exploring students’ cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity. J. Comput. Assist. Learn., pp 1–20 (2021)

    Google Scholar 

  8. Meka Srivani, A. M.: Computer-assisted education. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. 6(6), 231–235 (2020)

    Google Scholar 

  9. Cuervo-Cely, K. D., Restrepo-Calle, F., Ramírez-Echeverry, J. J.: Effect of gamification on the motivation of computer programming students. J. Inf. Technol. Educ.: Res. 21, 1–23 (2022)

    Google Scholar 

  10. Gloria Yi-Ming Kao, C.-A. R., 2022. Designing and evaluating a high interactive augmented reality system for programming learning. Computers in Human Behavior, Volume 132.

    Google Scholar 

  11. C. Buiu, M. A., 2000. C. Buiu, Mihaela Albu. Agenti software inteligenti (Intelligent software agents). s.l.:ICPE.

    Google Scholar 

  12. Moise, G., 2007. A Software System for Online Learning Applied in the Field of Computer Science. International Journal of Computers, Communications & Control (IJCCC).

    Google Scholar 

  13. Müller, J. P.: The design of intelligent agents: a layered approach. In: Lecture Notes in Computer Science (LNCS), vol. 1177. s.l.:s.n (1996)

    Google Scholar 

  14. Ala-Mutka, K.: A survey of automated assessment approaches for programming assignments. Comput. Sci. Educ., 83–102 (2005)

    Google Scholar 

  15. Suleman, H.: Automatic marking with Sakai. In: Proceedings of the 2008 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists on IT Research in Developing Countries: Riding the Wave of Technology. s.l.:s.n., pp. 229–236 (2008)

    Google Scholar 

  16. Lee, V. C. S., Yu, Y. T., Tang, C. M., Wong, T. L., Poon, C. K.: ViDA: A virtual debugging advisor for supporting learning in computer programming courses. J. Comput. Assist. Learn. 34(3), 243–258 (2017)

    Google Scholar 

  17. Dimitra I. Chatzopoulou, A. A. E.: Adaptive assessment of student’s knowledge in programming courses. J. Comput. Assist. Learn., 258–269 (2010)

    Google Scholar 

  18. Antelm-Lanzat, A. M., Gil, A. J., Cacheiro-González, M. L., Pérez-Navío, E., Fonseca-Pedrero, E.: Learning Styles and Vocational Guidance in Secondary Education. Educ. Sci.: Theory Pract. 20, 1–15 (2020)

    Google Scholar 

  19. Wang, X., Zhao, X., Zhang, Y.: Deep-learning-based reading eye-movement analysis for aiding biometric recognition. Neurocomputing 444, 390–398 (2021)

    Google Scholar 

  20. Crow, T., Andrew Luxton-Reilly, A., Wuensche, B., Authors Info & Claims: Intelligent tutoring systems for programming education: a systematic review. s.l., In: Proceedings of the 20th Australasian Computing Education Conference (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Madalina Pana .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pana, M., Zamfiroiu, A. (2023). General Characteristics of the Assisted E-Learning System in Computer Sciences. In: Ciurea, C., Pocatilu, P., Filip, F.G. (eds) Education, Research and Business Technologies. Smart Innovation, Systems and Technologies, vol 321. Springer, Singapore. https://doi.org/10.1007/978-981-19-6755-9_10

Download citation

Publish with us

Policies and ethics