Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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Awareness and Readiness of Nigerian Polytechnic Students towards Adopting Artificial Intelligence in Libraries


Affiliations
1 Federal University of Agriculture, Abeokuta, Ogun State, Nigeria
2 The University Library, Lagos State University, Lagos, Nigeria
3 University of Agriculture, Abeokuta, Nigeria
4 Library Division, Akanu Ibiam Federal Polytechnic Unwana, Ebonyi State, Nigeria
5 Nimbe Adedipe Library, Federal University of Agriculture, Abeokuta, Nigeria
     

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This survey research investigated the awareness and readiness for Artificial Intelligence (AI) among polytechnic students in Nigeria. Five Polytechnics were purposively selected for the study. The study population comprised of three hundred and twenty (320) final year students registered as members in the selected polytechnic libraries. A questionnaire was used for data collection. Purposive sampling was used to select one hundred (100) respondents from each of the polytechnics. Findings revealed that the students were aware of the existence of Artificial Intelligence usage in library operations and gained awareness during library orientation programmes. The students admitted that they needed to have basic computer skills to be relevant in this era. The major anticipated constraint in the use of AI is unstable power supply. The study recommends the need for polytechnic library managements to harness alternative sources of power supply, and the need to include practical ICT training in the curriculum.

Keywords

4IR, Artificial Intelligence, Awareness, Nigeria, Preparedness, Undergraduate Students.
User
About The Authors

K. A. Owolabi
Federal University of Agriculture, Abeokuta, Ogun State
Nigeria

Adeleke Olateju Abayomi
The University Library, Lagos State University, Lagos
Nigeria

N. A. Aderibigbe
University of Agriculture, Abeokuta
Nigeria

Owunezi Margaret Kemdi
Library Division, Akanu Ibiam Federal Polytechnic Unwana, Ebonyi State
Nigeria

Omotoso Akinkunmi Oluwaseun
Nimbe Adedipe Library, Federal University of Agriculture, Abeokuta
Nigeria

C. N. Okorie
Nimbe Adedipe Library, Federal University of Agriculture, Abeokuta
Nigeria


Notifications

  • Ahmed, N (2013). Medical surgeries and safari in South Africa. Medical Students Journal of Austria, 2(3):1-12.

  • Ahmed, W. (2019). Third generation of the web: Libraries, librarians and web 3.0. Library Hi Tech News, 32(4):6-8. https://doi.org/10.1108/LHTN-11-2014-0100.

  • Akaslan, D. and Law, C. (2010). Measuring Student E-Learning Readiness: A Case about the Subject of Electricity in Higher Education Institutions in Turkey. Conference: Advances in Web. https://doi.org/10.1007/9783-642-25813-8_22.

  • Alwahaishi, S. and Snael, V. (2013). Consumers’ acceptance and use of information and communications technology: A UTAUT and Flow Based Theoretical Model. Journal of Technology Management and Innovation, 8(2):61-73. https://doi.org/10.4067/S0718-27242013000200005.

  • Andrew, M. and Cox et al. (2019). Maturing research data services and the transformation of academic libraries. Journal of Documentation, 75(6):1432-1462. https://doi.org/10.1108/JD-12-2018-0211.

  • Ani, O., Essein, J. and Edem, O. (2005). Adoption of Information and Communication Technology (ICT) in academic libraries. The Electronic Library, 23(6):701-708. https://doi.org/10.1108/02640470510635782.

  • Asogwa, B. E., Ugwu, C. I. and Ugwuanyi, F. C. (2015). Evaluation of electronic service infrastructures and quality of e-services in Nigerian academic libraries. The Electronic Library, 33(6):1133-1149. https://doi.org/10.1108/EL-042014-0071.

  • Azubuike, C. O. & Madu, U. W. (2017). Mobile information services delivery by librarians in University Libraries in Nigeria: Some observations. Science and Education, 3(1):5-7.

  • Baylor, A. (2002). Expanding preservice teachers’ metacognitive awareness of instructional planning through pedagogical agents. 50 Educ. Tech. Res. and Dev., 1(2). https://doi.org/10.1007/BF02504991.

  • Baylor, A. L. and Ritchie, D. (2002). What factors facilitate teacher skill, teacher morale, and perceived student learning in technology-using classrooms? Computers and Education, 39(4), 395-414. https://doi.org/10.1016/S03601315(02)00075-1.

  • Belanche, D., Casaló, L. V. and Flavián, C. (2019). Artificial intelligence in FinTech: Understanding robo-advi-sors adoption among customers. Industrial Management and Data Systems, 119(7):1411-1430. https://doi.org/10.1108/ IMDS-08-2018-0368.

  • Callister, P. D. (2010). Time to blossom: An inquiry into bloom’s taxonomy as a hierarchy and means for teaching legal research skills. Law Library Journal, 12(5):191-193.

  • Cohen, J., Bancilhon, J. M. and Jones, M. (2013). South African physicians’ acceptance of e-prescribing technology: An empirical test of a modified UTAUT Model”. South African Computer Journal, 50:43-54. https://doi.org/10.18489/sacj.v50i1.175.

  • Australian Government Department of Education (2009). Research Report. Artificial Intelligence and Emerging Technologies in Schools.

  • Davis, F. D., Bagozzi, R. and Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8):982-1003. https://doi.org/10.1287/mnsc.35.8.982.

  • Deng, H. (2010). Emerging patterns and trends in utilizing electronic resources in a higher education environment: An empirical analysis. New Library World, 111(3/4):87-103. https://doi.org/10.1108/03074801011027600.

  • Doern, B. (2008). Polytechnics in Higher Education Systems: A Comparative Review and Policy Implications for Ontario. Toronto: Higher Education Quality Council of Ontario.

  • Ebele, M. I. (2014). Repositioning polytechnic education for self reliance and economic development in Nigeria. International Journal of Economic Development Research and Investment, 5(3):52-59.

  • Finley, F. (2019). The democratization of artificial intelligence: One library’s approach. Information Technology and Libraries, 38(1):8-13. https://doi.org/10.6017/ital.v38i1.10974.

  • Gholamhosseini, L. and Ayatollahi, H. (2016). The design and application of an e-health readiness assessment tool. Health Information Management Journal, 1-9. https://doi.org/10.1177/1833358316661065. PMid:27486183.

  • Gülbahar, Y. (2007). Technology planning: A roadmap to successful technology integration in schools. Computers and Education, 49(4):943-956. https://doi.org/10.1016/j.compedu.2005.12.002.

  • Hoque, M. and Sowar, G. (2017). Understanding factors influencing the adoption of health by the elderly: An extension of the UTAUT model. International Journal of Medical Informatics, 101. https://doi.org/10.1016/j.ijmedinf.2017.02.002. PMid:28347450.

  • Idiata, D. J., Edoimioya, P. O. and Aigbomian, S. E. (2008). The problems of technology education in Nigeria: A look into polytechnic education. Nigerian Academic Forum, 14(1):88-93.

  • Intel (2019). The AI readiness model, judging an organization’s ability to generate business value from artifical intelligence, Retrieved March 28, 2019. From https://www.intel.com/content/dam/www/public/us/en/documents/white-papers/ai-readiness-modelwhitepaper.

  • Jairak, K., Praneetpolgrang, P. and Mekhabunchakij, K. (2009). An acceptance of mobile learning for higher education students in Thailand. Special Issue of the International Journal of the Computer, the Internet and Management, 17(3):361-368.

  • Kashorda, M. and Waema, T. (2014). E-Readiness Survey of Kenyan Universities (2013) Report. Nairobi: Kenya Education Network.

  • Khare, K., Stewart, B. and Khare, A. (2018). Artificial intelligence and the student experience: An institutional perspective. The International Academic Forum (IAFOR). https://doi.org/10.22492/ije.6.3.04.

  • Liu, G. (2011). The application of intelligent agents in libraries: a survey”. Electronic Library and Information Systems, 45(1):78-97. https://doi.org/10.1108/00330331111107411.

  • Lund, B. D., Omame, I, Tijani, S. and Agbaji, D. (2020). Perceptions toward artificial intelligence among academic library employees and alignment with the diffusion of inno vations’ adopter categories. College and Research Librarian, 81(5). https://doi.org/10.5860/crl.81.5.865.

  • Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Artificial Intelligence (AI) and Blockchain. https://doi.org/10.1016/j.futures.2017.03.006.

  • Mercer, L. P. and Ponticell, J. A. (2012). Polytechnic education - A proposed key to regional economic development, Synesis. A Journal of Science, Technology, Ethics, and Policy, 45-51.

  • Odeyemi, S. O. (2019). Robots in Nigerian Academic Libraries: Investigating Infrastructural Readiness and Potential for Library Services Information Technology Satellite Meeting “Robots in Libraries: Challenge or Opportunity”? 21-22 August 2019 Technical University of Applied Sciences Wildau, Germany.

  • Okyere-boateng, S., Sasu, K. A., Bentil, E. E., Ansu, B. T. and Boateng, A. (2016). Professionalization approach of developing polytechnic education management in Ghana. International Journal of Scientific and Research Publications, 6(4):318-325.

  • Owolabi, K. A, Evans, N. and Ocholla, D. N. (2018). Use of clinical informatics tools among medical doctors in selected teaching hospitals in Nigeria and South Africa. Innovation: Journal of Appropriate Librarianship and Information Works in Southern Africa, 57(1):1-13.

  • Owolabi, K. A., Evans, N. D. and Ocholla, D. N. (2017). Factor that influence medical doctors behavioural intention to use clinical informatics. MOUSAION: Journal of Library and Information Science, 36(1):130-154. https:// doi.org/10.25159/0027-2639/2321.

  • Rogers, E. M. (2003). Diffusion of Innovations, Free Press. New York, 5th edition.

  • Scheuermann and Pedró, F. (2009). Indicators, Criteria and Benchmarks for International Comparisons (Luxembourg, OPOCE).

  • Shogbola, O. (2018). Nigeria, UAE to Cooperate on Solar Energy, Artificial Intelligence, Federal Ministry of Science and Technology. Available at http://scienceandtech.gov.ng/2018/10/24/nigeria-uae-to-cooperate-on-solar-energyartificialintelligence/, Archived at https://perma.cc/GN67-8M8R; About Us, National Agency for Science and Engineering Infrastructure, Last visited Nov. 29, 2018. http://www.naseni.org/who-we-are.html, Accessed on 13th July, 2020. Archived at https://perma.cc/D4FH-T4A9.

  • Shogbola, O. (2018). FG to Establish Two New Agencies, Federal Ministry of Science and Technology. Accessed on 4th July, 2020. Available at http://scienceandtech.gov.ng/2018/08/01/fg-to-establish-two-new-agencies/, archived at https://perma.cc/79WG-GH33.

  • Sife, A., Lwoga, E. and Sanga, C. (2007). New technologies for teaching and learning: Challenges for higher learning institutions in developing countries. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 3(2), 57-67.

  • Stockdill, S. H. and Morehouse, D. L. (1992). Critical factors in the successful adoption of technology: A checklist based on the findings. Educational Technology, 32(1), 57-58.

  • Sumak, B. and Sogo, M. (2016). Differences between prospective, existing, and former users of interactive whiteboards on external factors affecting their adoption, usage and abandonment. Computers in Human Behavior, 72. https://doi.org/10.1016/j.chb.2016.09.006.

  • Talley, N. B. (2016). Imagining the use of intelligent agents and artificial intelligence in academic law libraries. Law Library Journal, 108(3), 383-401.

  • Tayebinik, M. and Pute, M. (2012). Txt Msg n English Language Literacy Procedia. Social and Behavioral Sciences, 66(C), 97-105. https://doi.org/10.1016/j.sbspro.2012.11.251.

  • Tinholt, D., van Niel, E., van Kraaij, C. and Knödler, M. (2018). Artificial Intelligence Benchmark. Retrieved 2nd January, 2020 Available at https://www.capgemini.com/wpcontent/uploads/2018/07/AI-Readiness-Benchmark-POV.pdf.

  • Tredinnick, L. (2017). Artificial intelligence and professional roles. Business Information Review, 34(1), 37-41. https://doi.org/10.1177/0266382117692621.

  • Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. Policies for the Future, Eds. Cabrera, M., Vuorikari, R & Punie, Y., EUR 29442 EN, Publications Office of the European Union, Luxembourg; 2018. ISBN 978-92-79-97257-7, https://doi.org/10.2760/12297, JRC113226.

  • Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quterly, 27:425-478. https://doi.org/10.2307/30036540.

  • Zhao, Y. and Frank, K. A. (2003). Factors affecting technology uses in schools: An ecological perspective [Electronic Version]. American Educational Research Journal, 40(4):807-840. https://doi.org/10.3102/00028312040004807.


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  • Awareness and Readiness of Nigerian Polytechnic Students towards Adopting Artificial Intelligence in Libraries

Abstract Views: 445  |  PDF Views: 10

Authors

K. A. Owolabi
Federal University of Agriculture, Abeokuta, Ogun State, Nigeria
Adeleke Olateju Abayomi
The University Library, Lagos State University, Lagos, Nigeria
N. A. Aderibigbe
University of Agriculture, Abeokuta, Nigeria
Owunezi Margaret Kemdi
Library Division, Akanu Ibiam Federal Polytechnic Unwana, Ebonyi State, Nigeria
Omotoso Akinkunmi Oluwaseun
Nimbe Adedipe Library, Federal University of Agriculture, Abeokuta, Nigeria
C. N. Okorie
Nimbe Adedipe Library, Federal University of Agriculture, Abeokuta, Nigeria

Abstract


This survey research investigated the awareness and readiness for Artificial Intelligence (AI) among polytechnic students in Nigeria. Five Polytechnics were purposively selected for the study. The study population comprised of three hundred and twenty (320) final year students registered as members in the selected polytechnic libraries. A questionnaire was used for data collection. Purposive sampling was used to select one hundred (100) respondents from each of the polytechnics. Findings revealed that the students were aware of the existence of Artificial Intelligence usage in library operations and gained awareness during library orientation programmes. The students admitted that they needed to have basic computer skills to be relevant in this era. The major anticipated constraint in the use of AI is unstable power supply. The study recommends the need for polytechnic library managements to harness alternative sources of power supply, and the need to include practical ICT training in the curriculum.

Keywords


4IR, Artificial Intelligence, Awareness, Nigeria, Preparedness, Undergraduate Students.

References