Adaptive and flexible online learning during Covid19 lockdown
Conference paper
Manna, S., Nortcliffe, A., Sheikholeslami, G. and Richmond-Fuller, A. 2021. Adaptive and flexible online learning during Covid19 lockdown.
Authors | Manna, S., Nortcliffe, A., Sheikholeslami, G. and Richmond-Fuller, A. |
---|---|
Type | Conference paper |
Description | The COVID-19 pandemic has adversely disrupted higher education. During March-May 2020, universities had to move from physical campuses to online globally to curtail the spread of the virus among students and staff which has restricted and prevented hands-on learning on campus. One challenge facing UK Higher Education is that engineering students must obtain practical skills, which are required essential skills and can only be delivered on campus with university hardware/software. According to PSRB (Professional, Statutory and Regulatory Bodies) regulations, it is universities’ responsibility to ascertain the achievement of module learning outcomes. At Canterbury Christ Church University (CCCU), we have identified several challenges for methods of online teaching and learning from observations and conversations with students: for challenges, students struggled as they had no face-to-face interaction with teaching and technical staff, no access to hardware equipment nor the campus library. Additionally, they had increased mental stress, digital poverty, reduced social contact with university life and experienced self-isolation. Opportunities, on the other hand, were identified as: flexibility to study in a comfortable environment, better pace and time, cost-saving, access to more online resources as a substitute, new simulation tools for equipment. To incorporate the opportunities of online learning, we have implemented a multi-faceted approach to mitigate the impact of challenges of COVID-19 on the learning, teaching and assessment such as: |
Keywords | Flexible online learning; Virtual practical session; Online CDIO; Digital poverty; Higher education |
Year | 2021 |
Conference | 17th CDIO International Conference |
Official URL | http://www.cdio2021.chula.ac.th/index.html |
File | File Access Level Restricted |
References | Adedoyin, O.B. and Soykan, E., 2020. Covid-19 pandemic and online learning: the challenges and opportunities. Interactive Learning Environments, pp.1-13. Babich, A. and Mavrommatis, K., 2004. Virtual laboratory concept for engineering education. In Proc. International Conference on Engineering and Research “Progress through Partnership, pp. 1043-1050. Bangert, K., Bates, J., Beck, S.B.M., Bishop, Z.K., Di Benedetti, M., Fullwood, J., Funnell, A.C., Garrard, A., Hayes, S.A., Howard, T. and Johnson, C., 2020. Remote practicals in the time of coronavirus, a multidisciplinary approach. International Journal of Mechanical Engineering Education, p.0306419020958100. Chen, C.C., Shang, R.A. and Harris, A., 2006. The efficacy of case method teaching in an online asynchronous learning environment. International Journal of Distance Education Technologies (IJDET), 4(2), pp.72-86. Dhawan, S., 2020. Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), pp.5-22. Engineering Council, 2014. The accreditation of higher education programmes [online at] https://www.engc.org.uk/engcdocuments/internet/Website/Accreditation...(1).pdf (Accessed 13 January 2021). Finkelstein, J.E., 2006. Learning in real time: Synchronous teaching and learning online (Vol. 5). John Wiley & Sons. ISBN: 978-0-787-97921-8. Huang, R., Tlili, A., Chang, T.W., Zhang, X., Nascimbeni, F. and Burgos, D., 2020. Disrupted classes, undisrupted learning during COVID-19 outbreak in China: Application of open educational practices and resources. Smart Learning Environments, 7(1), pp.1-15. Kaddoura, M., 2013. Think pair share: A teaching learning strategy to enhance students' critical thinking. Educational Research Quarterly, 36(4), pp.3-24. Manna, S., Sheikholeslami, G. and Nortcliffe, A., 2020. Developing engineering growth mindset through CDIO outreach activities. 2020-Proceedings of the 16th International CDIO Conference, hosted on-line, Volume 2, pp.356-367. UNESCO, 2020. Education: From disruption to recovery [online at] https://en.unesco.org/covid19/educationresponse. Zayapragassarazan, Z., 2020. COVID-19: Strategies for Online Engagement of Remote Learners. F1000Research, 9. |
Publication process dates | |
Deposited | 29 Jan 2021 |
https://repository.canterbury.ac.uk/item/8x0q3/adaptive-and-flexible-online-learning-during-covid19-lockdown
516
total views21
total downloads10
views this month0
downloads this month
Export as
Related outputs
Extracting optimal number of features for machine learning models in multilayer IoT attacks
Al Sukhni, B., Manna, S., Dave, J. and Zhang, L. 2024. Extracting optimal number of features for machine learning models in multilayer IoT attacks. Sensors. 24 (24), p. 8121. https://doi.org/10.3390/s24248121Parkinson’s tremor suppression: A spring-based passive attenuator system
Kassim, A., Vasudevan, K., Azhar, H. and Manna, S. 2024. Parkinson’s tremor suppression: A spring-based passive attenuator system.Effect of component geometry on the dynamic thermal field generated in the laser forming of AA6061-T6 sheet
Sheikholeslami, G. 2024. Effect of component geometry on the dynamic thermal field generated in the laser forming of AA6061-T6 sheet. Procedia CIRP. https://doi.org/https://www.sciencedirect.com/science/article/pii/S2212827124005365Impact of CDIO framework pedagogical approach adoption on the student learning and experience
Nortcliffe, A., Matei, G., Malik, M., Manna, S., Sheikholeslami, G. and James, H. 2024. Impact of CDIO framework pedagogical approach adoption on the student learning and experience.Design of IoT-based smart energy meter for e-billing and prepaid electricity
Sinha, D., Bhrahmachary, S., Bhattacharya, S., Chaudhuri, N., Manna, S. and Bandyopadhyay, C. 2024. Design of IoT-based smart energy meter for e-billing and prepaid electricity. https://doi.org/10.1007/978-981-97-3485-6_22GenAI in the hands of experts: A qualitative study of academics' experiences and future recommendations
Malik, M., Nortcliffe, A., Turner, S., Abdel-Maguid, M. and Shah, Rehan 2024. GenAI in the hands of experts: A qualitative study of academics' experiences and future recommendations .Bio-inspired soft pneumatic gripper for agriculture harvesting
Clark, A., Goodsell-Carpenter, L., Buckow, P., Hewett, D., White, F., Imam, A., Naz, N., Robinson, B., Manna, S. and Ahmed, A. 2024. Bio-inspired soft pneumatic gripper for agriculture harvesting.
An EDI engineering employability toolkit to aid engineering student progression
Nortcliffe, A., Fanusie, C., Matei, G., Makinde, M., Odev, S., Martin, E. and Eyres, S. 2024. An EDI engineering employability toolkit to aid engineering student progression.How do we engineer inclusive education technology?
Nortcliffe, A. 2024. How do we engineer inclusive education technology?Allyship education is key to EDI graduate engineering employment
Nortcliffe, A., Fanusie, C., Matei, G., Makinde, M., Odev, S., Martin, E. and Eyres, S. 2024. Allyship education is key to EDI graduate engineering employment. Royal Academy of Engineering.Conceiving, designing, implementing and operating an EDI engineering employability learning toolkit to aid graduate employment
Nortcliffe, A., Fanusie, C., Matei, G., Makinde, M., Odev, S., Martin, E. and Eyres, S. 2024. Conceiving, designing, implementing and operating an EDI engineering employability learning toolkit to aid graduate employment.Integrating AI into engineering education: Leveraging CDIO for enhanced assessment strategies
Nortcliffe, A., Saeidlou, S., Ghadiminia, N. and Imam, A. 2024. Integrating AI into engineering education: Leveraging CDIO for enhanced assessment strategies.Potential practices for establishing curriculum agility through industrial engagement
Lyng, R. and Nortcliffe, A. 2024. Potential practices for establishing curriculum agility through industrial engagement.Tailoring Poisson's ratio of a fabric using auextic structures
Robinson, B., Imam, A., Nortcliffe, A., Ahmed, A. and Sabir, T. 2024. Tailoring Poisson's ratio of a fabric using auextic structures.A qualitative review of educational robots for STEM: Technical features and impacts
Manna, Soumya Kanti, Azhar, M. A. Hannan Bin and Greace, Ann 2024. A qualitative review of educational robots for STEM: Technical features and impacts. in: Proceedings of the International Convention MIPRO IEEE.Utilization of ChatGPT in CDIO projects to enhance the literacy of international students
Manna, S., Williams, S., Richmond-Fuller, A. and Nortcliffe, A. 2024. Utilization of ChatGPT in CDIO projects to enhance the literacy of international students.Innovative assistive device to enhance wrist drop treatment in patients
Trainer, C., Manna, S. and Azhar, H. 2024. Innovative assistive device to enhance wrist drop treatment in patients. in: Costin, H-N., Magjarević, R. and Petroiu, G. G. (ed.) Advances in Digital Health and Medical Bioengineering: Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9–10, 2023, Bucharest, Romania – Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics Cham Springer. pp. 489-497Tele-controlled upper arm exoskeleton for post-stroke recovery
Manna, S., Khan, A., Dilley, O. and Azhar, H. 2024. Tele-controlled upper arm exoskeleton for post-stroke recovery. in: Costin, H-N, Magjarević, R. and Petroiu, G. G. (ed.) Advances in Digital Health and Medical Bioengineering Cham Springer. pp. 478-488Investigating security issues (multilayer attacks) on IoT devices using machine learning
Al Sukhni, B., Manna, S., Dave, J. and Zhang, L. 2024. Investigating security issues (multilayer attacks) on IoT devices using machine learning.Safeguarding IoMT: Semi-automated Intrusion Detection System (SAIDS) for detecting multilayer attacks
Al Sukhni, B., Manna, S., Dave, J. and Zhang, L. 2024. Safeguarding IoMT: Semi-automated Intrusion Detection System (SAIDS) for detecting multilayer attacks.