Abstract
Benjamin Bloom had proposed three hierarchical models used to classify educational learning objectives (of the learner) into levels of complexity and specificity. These three models are cognitive (knowledge-based), affective (emotion-based), and psychomotor (action-based). The objective of this paper is to discover the outcome-based education mechanism to observe the transformation from LOTs to HOTs through unconventional teaching and learning practices in context with IT education that can be beneficial for teachers, students, and higher education institutions. Authors have explored the Cognitive model (knowledge-based), which is used to decide learners' competency with six different levels. These levels are: Remember, understand, apply, analyze, evaluate, and create. The former three levels are categorized in Lower order thinking skills (LOT), and the latter three are in higher-order thinking skills (HOT). A learner can upgrade competency by navigating various levels from LOT to HOT in particular. Bloom's Taxonomy (BT) competencies also indicate the probability of securing a leaner's employment. In this paper, the authors propose an outcome-based education mechanism to observe the transformation from LOTs to HOTs through unconventional teaching and learning practices in context with IT education. The results suggest a significant improvement in the educational practices and insights for educational stakeholders and policymakers. This transformation aims to create subject interest among learners and ensure a minimum gap between teaching and learning (short-term goal). The long-term goal of this practice is to provide the readiness of learners towards employment or entrepreneurship.
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References
Ajaegbu, O. O., Ajaegbu, C., & Adewunmi, O. S. (2018). Smartphone technological advancement trends: A scheme for knowledge acquisition towards societal development. Information Technology Journal, 18(1), 1–7.
Andrich, D. (2002). A framework relating outcomes based education and the taxonomy of educational objectives. Studies in Educational Evaluation, 28(1), 35–59.
Sun, A., & Chen, X. (2016). Online education and its effective practice: A research review. Journal of Information Technology Education: Research, 15, 157–190.
Temdee, P. (2021). Smart learning environment for enhancing digital literacy of thai youth: A case study of ethnic minority group. Wireless Personal Communications, 118(3), 1841–1852.
Prateek, P., & Ratnesh, L. (2020). Promoting Trustless Computation through Blockchain Technology. National Academy Science Letters.
Pandey, P., & Litoriya, R. (2020). Implementing healthcare services on a large scale: Challenges and remedies based on blockchain technology. Health Policy and Technology, 9(1), 69–78.
Prateek, P., & Ratnesh, L. (2020). Securing and authenticating healthcare records through blockchain technology. Cryptologia, 44(4), 341–356.
Pandey, P., & Litoriya, R. (2021). Securing E-health networks from counterfeit medicine penetration using blockchain. Wireless Personal Communications, 117, 7–25. https://doi.org/10.1007/s11277-020-07041-7
Chen, G., Xu, B., Lu, M., & Chen, N.-S. (2018). Exploring blockchain technology and its potential applications for education. Smart Learning Environments, 5(1), 1.
Shyamala, K., & Rajagopala, S. P. (2006). Data mining model for a better higher educational system. Information Technology Journal, 5(3), 560–564.
Hewahi, N. M. (2007). Intelligent tutoring system: Hierarchical rule as a knowledge representation and adaptive pedagogical model. Information Technology Journal, 6(5), 739–744.
Ndlela, N. N., Pereira, L., & Oloyede, I. O. (2020). Use of instructional methods developing higher order thinking skills by business studies teachers in Eswatini. Open Journal of Social Sciences, 08(08), 41–52.
Virranmäki, E., Valta-Hulkkonen, K., & Pellikka, A. (2021). Geography curricula objectives and students’ performance: Enhancing the student’s higher-order thinking skills? Journal of Geography, 120(3), 97–107.
Temdee, P., & Prasad, R. (2018). Context-aware communication and computing: Applications for smart environment. Berlin: Springer.
Shinde, V. V., & Inamdar, S. S. (2013). Problem based learning (PBL) for engineering education in india: need and recommendations. Wireless Personal Communications, 69(3), 1097–1105.
Costa, A., Lyra, B., Nascimento, E., Matos, E., Barros, F., & Cavalcante, G. (2020). The use of active methodologies for teaching-learning systems in telecommunications. Wireless Personal Communications, 115(1), 695–709.
Lee, S., Kim, J., & Lee, W. (2017). Analysis of factors affecting achievement in maker programming education in the age of wireless communication. Wireless Personal Communications, 93(1), 187–209.
Choi, J., Lee, Y., & Lee, E. (2017). Puzzle based algorithm learning for cultivating computational thinking. Wireless Personal Communications, 93(1), 131–145.
Martinez-Vazquez, P. (2019). Critical analysis of a higher education benchmark via fuzzy logic. Higher Education Pedagogies, 4(1), 119–135.
Pandey, P., & Litoriya, R. (Mar. 2020). Fuzzy AHP based identification model for efficient application development. Journal of Intelligent & Fuzzy Systems, 38(3), 3359–3370.
Pandey, P., Litoriya, R., & Tiwari, A. (2018). A framework for fuzzy modelling in agricultural diagnostics. Journal Européen des Systèmes Automatisés, 51, 203–223.
Pandey, M., Litoriya, R., & Pandey, P. (2019). Novel approach for mobile based app development incorporating MAAF. Wireless Personal Communications, 107(4), 1687–1708.
Pandey, P., & Litoriya, R. (2021). Technology intervention for preventing COVID-19 outbreak. Information Technology & People, 34(4), 1233–1251. https://doi.org/10.1108/ITP-05-2020-0298
Ayodeji Ja, B., & Adeola Abi, A. (2020). Internet of things (IoT) for sustainable national economy development. Information Technology Journal, 20(1), 1–7.
Raman, A. S. (2019). Potentials of fog computing in higher education. International Journal of Emerging Technologies in Learning (iJET), 14(18), 194.
Litoriya, R., Gulati, A., Yadav, M., Ghosh, R. S., & Pandey, P. (2021). Social, Ethical, and regulatory issues of fog computing in healthcare 4.0 applications. In Fog Computing for Healthcare 4.0 Environments, Springer, Cham, pp. 593–609.
Pandey, P., & Litoriya, R. (2020). Legal/Regulatory Issues for MMBD in IoT BT—Multimedia big data computing for IoT applications: Concepts, paradigms and solutions. In Tanwar, S., Tyagi, S. , & umar, N. (Eds.) Singapore: Springer, pp. 367–388.
Akir, O., Eng, T. H., & Malie, S. (2012). Teaching and learning enhancement through outcome-based education structure and technology e-learning support. Procedia - Social and Behavioral Sciences, 62, 87–92.
Anwar, H. N., & Sohail, M. M. (2014). Assessing the learning level of students through bloom’s taxonomy in higher education in Punjab. Journal of Educational and Social Research, 4(3), 83–87.
Chaudhary, A. (2019). Outcome based education: assessment of understanding in higher education institutions in the State of Rajasthan. SSRN Electronic Journal.
Au, O., & Kwan, R. (2009). Experience on Outcome-Based Teaching and Learning, pp. 133–139.
Pickard, M. J. (2007). The new bloom’s taxonomy: An overview for family and consumer sciences. Journal of Family and Consumer Sciences Education, 25(1), 45–55.
Seel, N.M. Ed. (2012). Encyclopedia of the Sciences of Learning. Boston, MA: Springer US.
UNTHSC (2015). “Blooms Taxonomy, Learning Objectives and Higher Order Thinking,”.
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RP developed the theoretical formalism, performed the analytic calculations. RL performed the numerical analysis. Both Ravi Prakash and Ratnesh Litoriya contributed to the final version of the manuscript.
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Prakash, R., Litoriya, R. Pedagogical Transformation of Bloom Taxonomy's LOTs into HOTs: An Investigation in Context with IT Education. Wireless Pers Commun 122, 725–736 (2022). https://doi.org/10.1007/s11277-021-08921-2
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DOI: https://doi.org/10.1007/s11277-021-08921-2