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Enhancing the Teaching and Learning Process Using Video Streaming Servers and Forecasting Techniques

Author

Listed:
  • Raza Hasan

    (Department of Information Technology, School of Science and Engineering, Malaysia University of Science and Technology, 47810 Petaling Jaya, Selangor, Malaysia)

  • Sellappan Palaniappan

    (Department of Information Technology, School of Science and Engineering, Malaysia University of Science and Technology, 47810 Petaling Jaya, Selangor, Malaysia)

  • Salman Mahmood

    (Department of Information Technology, School of Science and Engineering, Malaysia University of Science and Technology, 47810 Petaling Jaya, Selangor, Malaysia)

  • Babar Shah

    (College of Technological Innovation, Zayed University, P.O. Box 144534, Abu Dhabi, United Arab Emirates)

  • Ali Abbas

    (Department of Computing, Middle East College, Knowledge Oasis Muscat, P.B. No. 79, Al Rusayl Postal Code: 124, Sultanate of Oman)

  • Kamal Uddin Sarker

    (School of Informatics and Applied Mathematics, University Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia)

Abstract

Higher educational institutes (HEI) are adopting ubiquitous and smart equipment such as mobile devices or digital gadgets to deliver educational content in a more effective manner than the traditional approaches. In present works, a lot of smart classroom approaches have been developed, however, the student learning experience is not yet fully explored. Moreover, module historical data over time is not considered which could provide insight into the possible outcomes in the future, leading new improvements and working as an early detection method for the future results within the module. This paper proposes a framework by taking into account module historical data in order to predict module performance, particularly the module result before the commencement of classes with the goal of improving module pass percentage. Furthermore, a video streaming server along with blended learning are sequentially integrated with the designed framework to ensure correctness of teaching and learning pedagogy. Simulation results demonstrate that by considering module historical data using time series forecasting helps in improving module performance in terms of module delivery and result outcome in terms of pass percentage. Furthermore, the proposed framework provides a mechanism for faculties to adjust their teaching style according to student performance level to minimize the student failure rate.

Suggested Citation

  • Raza Hasan & Sellappan Palaniappan & Salman Mahmood & Babar Shah & Ali Abbas & Kamal Uddin Sarker, 2019. "Enhancing the Teaching and Learning Process Using Video Streaming Servers and Forecasting Techniques," Sustainability, MDPI, vol. 11(7), pages 1-21, April.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:2049-:d:220522
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    Citations

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    Cited by:

    1. Rizwan Raheem Ahmed & Faryal Salman & Shahab Alam Malik & Dalia Streimikiene & Riaz Hussain Soomro & Munwar Hussain Pahi, 2020. "Smartphone Use and Academic Performance of University Students: A Mediation and Moderation Analysis," Sustainability, MDPI, vol. 12(1), pages 1-28, January.
    2. Sitalakshmi Venkatraman & Fahri Benli & Ye Wei & Fiona Wahr, 2022. "Smart Classroom Teaching Strategy to Enhance Higher Order Thinking Skills (HOTS)—An Agile Approach for Education 4.0," Future Internet, MDPI, vol. 14(9), pages 1-15, August.
    3. Lei Peng & Shitao Jin & Yuan Deng & Yichen Gong, 2022. "Students’ Perceptions of Active Learning Classrooms from an Informal Learning Perspective: Building a Full-Time Sustainable Learning Environment in Higher Education," Sustainability, MDPI, vol. 14(14), pages 1-24, July.
    4. Raza Hasan & Sellappan Palaniappan & Salman Mahmood & Ali Abbas & Kamal Uddin Sarker, 2021. "Dataset of Students’ Performance Using Student Information System, Moodle and the Mobile Application “eDify”," Data, MDPI, vol. 6(11), pages 1-10, October.
    5. Lei Peng & Yuan Deng & Shitao Jin, 2022. "The Evaluation of Active Learning Classrooms: Impact of Spatial Factors on Students’ Learning Experience and Learning Engagement," Sustainability, MDPI, vol. 14(8), pages 1-17, April.

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