An IoT Based Novel Hybrid-Gamified Educational Approach to Enhance Student’s Learning Ability


  • Sushil Kumar Mahapatra Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, INDIA
  • Binod Kumar Pattanayak Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, INDIA
  • Bibudhendu Pati Ramadevi Women’s University,Bhubaneswar, Odisha, INDIA
  • Suprava Ranjan Laha Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, INDIA
  • Saumendra Pattnaik Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, INDIA
  • Bibhuprasad Mohanty Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, INDIA


AHP, Educational Outcome, Gamification, IoT, ISM, Learning rate, MADM


Student’s have different level of learning ability due to social and economic aspect they came through their life. Thus it is very necessary to reveal the criteria based on which their learning ability can be improved. This paper investigates these criteria and tries to improve the learning ability of students using a novel gamified educational method. The Internet of Things (IoT) also utilized to collect information to establish a communication network and educational network in this novel gamified educational method. The suggested Educational approach made use of field methods and gamification of course module in an IoT setting for improving learning stages. The presented educational model is tested on engineering students for two course module. The result shows that the rate improvement in learning has almost doubled by utilizing this proposed educational model i.e. from 0.66 to 1.33.


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K. Sylva, E. Melhuish, P. Sammons, I. Siraj-Blatchford, and B. Taggart, Early childhood matters: Evidence from the effective pre-school and primary education project. Routledge, 2010.

E. L. Essa and M. M. Burnham, Introduction to early childhood education. Sage Publications, 2019.

K. W. M. Siu and M. S. Lam, “Early childhood technology education: A sociocultural perspective,” Early Child. Educ. J., vol. 32, pp. 353–358, 2005.

N. A. Jennings, S. D. Hooker, and D. L. Linebarger, “Educational television as mediated literacy environments for preschoolers,” Learn. Media Technol., vol. 34, no. 3, pp. 229–242, 2009.

S. M. Fisch and R. T. Truglio, “G is for growing: Thirty years of research on children and Sesame Street,” 2014.

S. Eliyas and P. Ranjana, “Exploring the Critical Challenges and Potent Effects of E-Learning,” Int. J. Intell. Syst. Appl. Eng., vol. 11, no. 3s, pp. 189–193, 2023.

A. Manches, P. Duncan, L. Plowman, and S. Sabeti, “Three questions about the Internet of things and children,” TechTrends, vol. 59, pp. 76–83, 2015.

E. Spyrou, N. Vretos, A. Pomazanskyi, S. Asteriadis, and H. C. Leligou, “Exploiting IoT technologies for personalized learning,” in 2018 IEEE Conference on Computational Intelligence and Games (CIG), IEEE, 2018, pp. 1–8.

A. Abdi and N. Cavus, “Developing an electronic device to teach english as a foreign language: Educational toy for pre-kindergarten children,” Int. J. Emerg. Technol. Learn. IJET, vol. 14, no. 22, pp. 29–44, 2019.

A. H. Safar, A. A. Al-Jafar, and Z. H. Al-Yousefi, “The effectiveness of using augmented reality apps in teaching the English alphabet to kindergarten children: A case study in the State of Kuwait,” EURASIA J. Math. Sci. Technol. Educ., vol. 13, no. 2, pp. 417–440, 2016.

A. Uzelac, N. Gligoric, and S. Krco, “A comprehensive study of parameters in physical environment that impact students’ focus during lecture using Internet of Things,” Comput. Hum. Behav., vol. 53, pp. 427–434, 2015.

S. Higgins, Z. Xiao, and M. Katsipataki, “The Impact of Digital Technology on Learning: A Summary for the Education Endowment Foundation. Full Report.,” Educ. Endow. Found., 2012.

A. Zhamanov, Z. Sakhiyeva, and M. Zhaparov, “Implementation and evaluation of flipped classroom as IoT element into learning process of computer network education,” Int. J. Inf. Commun. Technol. Educ. IJICTE, vol. 14, no. 2, pp. 30–47, 2018.

R. B. Sadiq, N. Cavus, and D. Ibrahim, “Mobile application based on CCI standards to help children learn English as a foreign language,” Interact. Learn. Environ., vol. 29, no. 3, pp. 442–457, 2021.

E. de la Guía, V. López, T. Olivares, and L. Orozco, “Using Internet of Things to Support Teachers to Enhance Social and Classroom Interactions,” Albacete Res Inst Inf. Spain Tech Rep I3A, 2018.

P. Tangworakitthaworn, V. Tengchaisri, K. Rungsuptaweekoon, and T. Samakit, “A game-based learning system for plant monitoring based on IoT technology,” in 2018 15th international joint conference on computer science and software engineering (JCSSE), IEEE, 2018, pp. 1–5.

L. López-Faican and J. Jaen, “EmoFindAR: Evaluation of a mobile multiplayer augmented reality game for primary school children,” Comput. Educ., vol. 149, p. 103814, 2020.

O. Ojaleye and A. O. Awofala, “Blended Learning and Problem-Based Learning Instructional Strategies as Determinants of Senior Secondary School Students’ Achievement in Algebra.,” Int. J. Res. Educ. Sci., vol. 4, no. 2, pp. 486–501, 2018.

A. S. Albalawi, “The Effect of Using Flipped Classroom in Teaching Calculus on Students’ Achievements at University of Tabuk.,” Int. J. Res. Educ. Sci., vol. 4, no. 1, pp. 198–207, 2018.

P. Vu and S. Feinstein, “An exploratory multiple case study about using game-based learning in STEM classrooms.,” Int. J. Res. Educ. Sci., vol. 3, no. 2, pp. 582–588, 2017.

C. Mihci and N. OzdenerDonmez, “Teaching GUI-Programming Concepts to Prospective K12 ICT Teachers: MIT App Inventor as an Alternative to Text-Based Languages.,” Int. J. Res. Educ. Sci., vol. 3, no. 2, pp. 543–559, 2017.

Y. Chen and X. Dong, “The development and prospect of new technology in modern distance education,” in 2013 International Conference on Information Science and Computer Applications (ISCA 2013), Atlantis Press, 2013, pp. 40–44.

H. F. Elyamany and A. H. AlKhairi, “IoT-academia architecture: A profound approach,” in 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), IEEE, 2015, pp. 1–5.

K. Akiyama, “Problem-based Learning Style IoT System Education Method by Student’s Self-construction of Prototype System,” Int. J. Internet Things, vol. 7, no. 2, pp. 30–36, 2018.

M. Ali et al., “IoTFLiP: IoT-based flipped learning platform for medical education,” Digit. Commun. Netw., vol. 3, no. 3, pp. 188–194, 2017.

I. Mayer et al., “The research and evaluation of serious games: Toward a comprehensive methodology,” Br. J. Educ. Technol., vol. 45, no. 3, pp. 502–527, 2014.

D. Evans, “The internet of things: How the next evolution of the internet is changing everything,” CISCO White Pap., vol. 1, no. 2011, pp. 1–11, 2011.

G. C. Fox, S. Kamburugamuve, and R. D. Hartman, “Architecture and measured characteristics of a cloud based internet of things,” in 2012 international conference on Collaboration Technologies and Systems (CTS), IEEE, 2012, pp. 6–12.

M. Chui, M. Loffler, and R. Roberts, “The internet of things,” McKinsey Global Institute, 2010.

J. Ritz and Z. Knaack, “Internet of things,” Technol. Eng. Teach., vol. 76, no. 6, 2017.

T. T. Mulani and S. V. Pingle, “Internet of things,” Int. Res. J. Multidiscip. Stud., vol. 2, no. 3, pp. 1–4, 2016.

M. Keerthana and S. AshikaParveen, “Internet of things,” Int. J. Adv. Res. Methodol. Eng. Technol., vol. 1, no. 2, pp. 105–108, 2017.

J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang, and W. Zhao, “A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications,” IEEE Internet Things J., vol. 4, no. 5, pp. 1125–1142, 2017.

S. R. Laha, B. K. Pattanayak, and S. Pattnaik, “Advancement of Environmental Monitoring System Using IoT and Sensor: A Comprehensive Analysis,” AIMS Environ. Sci., vol. 9, no. 6, pp. 771–800, 2022.

K. Ashton, “That ‘internet of things’ thing,” RFID J., vol. 22, no. 7, pp. 97–114, 2009.

K. D. Stiller and S. Schworm, “Game-based learning of the structure and functioning of body cells in a foreign language: Effects on motivation, cognitive load, and performance,” in Frontiers in Education, Frontiers Media SA, 2019, p. 18.

D. D. Ramlowat and B. K. Pattanayak, “Exploring the internet of things (IoT) in education: a review,” Inf. Syst. Des. Intell. Appl., pp. 245–255, 2019.

S. K. Mahapatra, B. K. Pattanayak, and B. Pati, “Flip Learning: A Novel IoT-Based Learning Initiative,” in Intelligent and Cloud Computing, Springer, 2021, pp. 59–67.

H. A. Hamzah and M. S. A. Seman, “Proposed Model for the Construction of the University of Al-Balqa’Applied e-Learning System Using Web Engineering Standards,” Int. J. Intell. Syst. Appl. Eng., vol. 11, no. 2, pp. 01–08, 2023.

K. M. Kapp, “Games, gamification, and the quest for learner engagement,” T D, vol. 66, no. 6, pp. 64–68, 2012.

M. H. Vo, C. Zhu, and A. N. Diep, “Examining blended learning implementation in hard and soft sciences: A qualitative analysis,” Int. J. Res. Educ. Sci., vol. 6, no. 2, 2020.

M. R. M. Veeramanickam and M. Mohanapriya, “Iot enabled futurus smart campus with effective e-learning: i-campus,” GSTF J. Eng. Technol. JET, vol. 3, no. 4, pp. 8–87, 2016.

R. Josphineleela, V. Sundararajan, K. Meenakshi, A. M. Varaprasad, P. K. Yadavalli, and D. Praveenadevi, “Ai Based Structural Equation Modelling to Classify the Students’ Performance in Higher Education Institutions,” Int. J. Intell. Syst. Appl. Eng., vol. 11, no. 4s, pp. 203–212, 2023.

J. Marquez, J. Villanueva, Z. Solarte, and A. Garcia, “IoT in education: Integration of objects with virtual academic communities,” in New advances in information systems and technologies, Springer, 2016, pp. 201–212.

G.-H. Tzeng and J.-J. Huang, Multiple attribute decision making: methods and applications. CRC press, 2011.

R. Anggrainingsih, M. Z. Umam, and H. Setiadi, “Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP,” in MATEC web of conferences, EDP Sciences, 2018, p. 03011.

R. V. Donner, M. Lindner, L. Tupikina, and N. Molkenthin, “Characterizing flows by complex network methods,” Math. Model. Approach Nonlinear Dyn. Complex Syst., pp. 197–226, 2019.

M. E. Newman, “The structure of scientific collaboration networks,” Proc. Natl. Acad. Sci., vol. 98, no. 2, pp. 404–409, 2001.

P. J. Carrington, J. Scott, and S. Wasserman, Models and methods in social network analysis, vol. 28. Cambridge university press, 2005.

L. C. Freeman, “Centrality in social networks: Conceptual clarification,” Soc. Netw. Crit. Concepts Sociol. Lond. Routledge, vol. 1, pp. 238–263, 2002.

Mr. Kaustubh Patil, Promod Kakade. (2014). Self-Sustained Debacle Repression Using Zig-Bee Communication. International Journal of New Practices in Management and Engineering, 3(04), 05 - 10. Retrieved from

Sikri, A. ., Singh, N. P. ., & Dalal, S. . (2023). Analysis of Rank Aggregation Techniques for Rank Based on the Feature Selection Technique. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3s), 95–108.




How to Cite

Mahapatra, S. K. ., Pattanayak, B. K. ., Pati, B. ., Laha, S. R. ., Pattnaik, S. ., & Mohanty, B. . (2023). An IoT Based Novel Hybrid-Gamified Educational Approach to Enhance Student’s Learning Ability. International Journal of Intelligent Systems and Applications in Engineering, 11(3), 374–393. Retrieved from



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