BRAINIAC: The Planning Process for the E-Learning Platform with Text Summarisation Tools

Siti Nur Fatehah Nordin; Nurdiana Azizan; Noraizah Abu Bakar; Dini Onasis

doi:10.33102/mjosht.v11i1.458

Authors

Siti Nur Fatehah Nordin Faculty of Science and Technology, Universiti Sains Islam Malaysia, 71800, Nilai, Negeri Sembilan, Malaysia.
Nurdiana Azizan Faculty of Science and Technology, Universiti Sains Islam Malaysia, 71800, Nilai, Negeri Sembilan, Malaysia. https://orcid.org/0000-0001-6797-0472
Noraizah Abu Bakar Faculty of Accountancy, Universiti Teknologi MARA (UiTM) Cawangan Johor Kampus Segamat Jalan Off KM 12 Jalan Muar, 85000 Segamat, Johor Darul Takzim, Malaysia.
Dini Onasis Faculty of Economics and Business, Universitas Lancang Kuning (UNILAK), JI. Yos Sudarso, KM. 8, Rumbai, Pekanbaru, Riau, Indonesia.

DOI:

https://doi.org/10.33102/mjosht.v11i1.458

Keywords:

E-learning, education, text summarisation, natural language processing (NLP)

Abstract

This paper presents the planning process for the BRAINIAC, an e-learning platform with text summarisation tools. The evolution of technology in education happens gradually throughout daily lives, from the old traditional method to the digital process, making the educational experience easier and more convenient. E-learning, which uses electronic devices and digital resources, has become essential, especially during the COVID-19 pandemic. Despite the widespread use of e-learning platforms such as Moodle, Google Classroom, Blackboard, and Udemy, it still lacks an integrated text summarisation tool. This tool is vital for helping learners efficiently process and comprehend extensive textual information. This project, Brainiac, aims to develop an e-learning platform, which is a web-based application that incorporates Artificial Intelligence (AI) and Natural Language Processing (NLP) for text summarization. The methodology used to ensure the development process runs smoothly for this project is the Agile Model. The research objectives are to identify gaps in existing e-learning platforms, propose a robust security framework for Brainiac, and evaluate its accuracy and compatibility through thorough testing. Hence, Brainiac aims to enhance learning, improve comprehension, and save time for users, thus significantly enhancing the overall effectiveness of digital education. The implication of Brainiac could revolutionise digital education by improving information processing and comprehension, ultimately enhancing learning efficiency and user experience. In conclusion, Brainiac’s text summarisation tools significantly advance e-learning, offering a transformative approach to improving information processing, comprehension, and overall educational efficiency.

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References

Valverde-Berrocoso, M. Del Carmen Garrido-Arroyo, C. Burgos-Videla, and M. B. Morales-Cevallos, “Trends in Educational Research about e-Learning: A Systematic Literature Review (2009–2018),” Sustainability, vol. 12, no. 12, p. 5153, Jun. 2020, doi: 10.3390/su12125153.

J. S. Barrot, I. I. Llenares, and L. S. Del Rosario, “Students’ online learning challenges during the pandemic and how they cope with them: The case of the Philippines,” Education and Information Technologies, vol. 26, no. 6, pp. 7321–7338, May 2021, doi: 10.1007/s10639-021-10589-x.

M. A. Rahman, M. Begum, T. Mahmud, M. S. Hossain, and K. Andersson, “Analyzing Sentiments in eLearning: A Comparative Study of Bangla and Romanized Bangla Text using Transformers,” IEEE Access, p. 1, Jan. 2024, doi: 10.1109/access.2024.3419024.

D. Benta, G. Bologa, S. Dzitac, and I. Dzitac, “University Level Learning and Teaching via E-Learning Platforms,” Procedia Computer Science, vol. 55, pp. 1366–1373, Jan. 2015, doi: 10.1016/j.procs.2015.07.123.

M. Ouadoud, N. Rida, and T. Chafiq, “Overview of E-learning Platforms for Teaching and Learning,” International Journal of Recent Contributions From Engineering Science & IT (iJES), vol. 9, no. 1, p. 50, Mar. 2021, doi: 10.3991/ijes.v9i1.21111.

K. Seo, J. Tang, I. Roll, S. Fels, and D. Yoon, “The impact of artificial intelligence on learner–instructor interaction in online learning,” International Journal of Educational Technology in Higher Education, vol. 18, no. 1, Oct. 2021, doi: 10.1186/s41239-021-00292-9.

Z. Kolagar and A. Zarcone, “HumSum: A Personalized Lecture Summarization Tool for Humanities Students Using LLMs,” ACL Anthology, Mar. 01, 2024. https://aclanthology.org/2024.personalize-1.4

C. Shi, L. Yu, N. Wang, B. Cheng, and X. Cao, “Effects of social media overload on academic performance: a stressor–strain–outcome perspective,” Asian Journal of Communication, vol. 30, no. 2, pp. 179–197, Mar. 2020, doi: 10.1080/01292986.2020.1748073

H. H. AlHeneidi, M. A. AlTerkait, and A. P. Smith, “Exploring the Influence of E-Learning Systems on Information Overload and Social Media Addiction During the Covid-19 Pandemic,” Sumerianz Journal of Social Science, no. 42, pp. 59–64, Apr. 2021, doi: 10.47752/sjss.42.59.64.

A. Vikas, P. GVN, and T. A. Shaik, “Text Summarization,” International Journal of Engineering and Computer Science, vol. 9, no. 2, pp. 24940–24945, Feb. 2020, doi: 10.18535/ijecs/v9i2.4437.

I. A. Kozaris, “Platforms for e-learning,” Analytical and Bioanalytical Chemistry, vol. 397, no. 3, pp. 893–898, Mar. 2010, doi: 10.1007/s00216-010-3587-x.

M. N. Mahdi, A. R. Ahmad, R. Ismail, H. Natiq, and M. A. Mohammed, “Solution for Information Overload Using Faceted Search–A Review,” IEEE Access, vol. 8, pp. 119554–119585, Jan. 2020, doi: 10.1109/access.2020.3005536.

M. Kirmani and G. Kaur, “Text Summarization for Online and Blended Learning,” Scalable Computing Practice and Experience, vol. 25, no. 2, pp. 972–986, Feb. 2024, doi: 10.12694/scpe.v25i2.2556.

A. Charitopoulos, M. Rangoussi, D. Metafas, and D. Koulouriotis, “Text mining technologies applied to free-text answers of students in e-assessment: an experimental study in Greek,” Research Square (Research Square), May 2024, doi: 10.21203/rs.3.rs-4387141/v1.

M. Tetouan, “Towards a new generation of intelligent, adaptive e-learning platforms,” Jul. 19, 2024. https://journal.uob.edu.bh/handle/123456789/5825

A. Z. A. Rawashdeh, E. Y. Mohammed, A. R. A. Arab, M. Alara, B. Al-Rawashdeh, and B. Al-Rawashdeh, “Advantages and Disadvantages of Using e-Learning in University Education: Analyzing Students’ Perspectives,” The Electronic Journal of e-Learning, vol. 19, no. 3, pp. 107–117, May 2021, doi: 10.34190/ejel.19.3.2168.

N. H. Al-Kumaim, S. H. Hassan, M. S. Shabbir, A. A. Almazroi, and A. A.-R. H. Mohammed, “Exploring the Inescapable Suffering among Postgraduate Researchers: Information Overload Perceptions and Implications for Future Research.” https://eric.ed.gov/?id=EJ1282428

E. R. Kahu and K. Nelson, “Student engagement in the educational interface: understanding the mechanisms of student success,” Higher Education Research & Development, vol. 37, no. 1, pp. 58–71, Jul. 2017, doi: 10.1080/07294360.2017.1344197.

P. Andhale, S. Ghadigaonkar, K. Lahoti, K. Patil, and S. Jadhav, “Web-based Application,” IJARCCE, vol. 6, no. 5, pp. 685–688, May 2017, doi: 10.17148/ijarcce.2017.65131.

F. K. Y. Chan and J. Y. L. Thong, “Acceptance of agile methodologies: A critical review and conceptual framework,” Decision Support Systems, vol. 46, no. 4, pp. 803–814, Nov. 2008, doi: 10.1016/j.dss.2008.11.009.