Abstract
As a technology the effect of the Internet of Things (IoT) is so strong that it has changed the way of living. The transition is also apparent in the field of education, as statutory technical training bodies have made IoT a mandatory course in engineering education. But in terms of design and instruction, implementing this course at the freshman-level is difficult. The target, of course, must be planned in such a way as to link newly enrolled learners to engineering disciplines and promote professional learning. This paper focuses on the freshman level designing and implementing of the course. A reliability test was performed to assess the internal consistency between student learning attitude, student engagement actions in the classroom and acceptance of technology. In addition, it analyzed the effect of gender differentiation. One hundred and twenty-three First Year Engineering Students participated in a survey questionnaire based on the five - point Likert scale provided at the end of the course. The findings show Cronbach’s alpha value of 0.93 for 12 test items, suggesting that the questionnaire was suitable for use as an assessment method for assessing how successful the course is in terms of learning attitude, behavioral engagement, and acceptance of technology. The reliability test results show a high correlation between acceptance of the technology and the behavioral engagement of the student. The internal consistency between the learning attitude with the conducted acceptance of the technology, and the result showed α = 0.715, making slight connection between two. Further the effect of gender on these parameters analyzed and found to be insignificant.



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Aldowah, H., Rehman, S. U., Ghazal, S., & Umar, I. N. (2017). Internet of things in higher education: A study on future learning. Journal of Physics: Conference Series, 892(1), 012017.
Al-Hariri, M. T., & Al-Hattami, A. A. (2017). Impact of students’ use of technology on their learning achievements in physiology courses at the University of Dammam. Journal of Taibah University Medical Sciences, 12(1), 82–85.
Appleton, J. J., Christenson, S. L., & Furlong, M. J. (2014). Student engagement with school: Critical conceptual and methodological issues of the construct james. Wiley Interscience, 74(4), 274–283.
Arduino. (2020). https://Store.Arduino.Cc/Usa/Arduino-Mkr1000. Accessed 22 Aug 2020.
Athar Imtiaz, M., & Maarop, N. (2014). A review of technology acceptance studies in the field of education. Jurnal Teknologi (Sciences and Engineering), 69(2), 27–32.
Balakrishnan, B., & Tarlochan, F. (2015). “Engineering Students’ Attitude towards Engineering Ethics Education.” IEEE Global Engineering Education Conference (EDUCON), Tallinn, pp 16–22. https://doi.org/10.1109/EDUCON.2015.7095944.
Bem, S. L. (1981). Gender Schema theory: A cognitive account of sex typing. Psychological Review, 88(4), 354–364.
Byrne, J. R., O’Sullivan, K., & Sullivan, K. (2017). An IoT and wearable technology Hackathon for promoting careers in computer science. IEEE Transactions on Education, 60(1), 50–58.
Chen, P. Y., & Hwang, G. J. (2019). An empirical examination of the effect of self-regulation and the Unified theory of acceptance and use of technology (UTAUT) factors on the online learning Behavioural intention of college students. Asia Pacific Journal of Education, 39(1), 79–95.
Davis, F. D. (2011). Delle Vicende Dell’agricoltura in Italia; Studio e Note Di C. Bertagnolli. Delle vicende dell’agricoltura in Italia; studio e note di C. Bertagnolli. 13(3): 319–40.
Department of Electronics and Information Technology (2015). Ministry of Communication and Information Technology. “Draft Policy on Internet of Things.” http://meity.gov.in/writereaddata/files/Revised-Draft-IoT-Policy_0.pdf: 17.
https://www.Arduino.Cc/En/Guide/Homepage. (n.d.)
https://www.Arduino.Cc/En/IoT/HomePage. (n.d.)
Ibáñez, V., Pérez, S., Silva, J., & Tamarit, S. (2019). Statistical analysis of students’ behavioral and attendance habits in engineering education. Educational Sciences: Theory and Practice, 19(4), 48–64.
Ibili, E., Resnyansky, D., & Billinghurst, M. (2019). Applying the technology acceptance model to understand Maths teachers’ perceptions towards an augmented reality tutoring system. Education and Information Technologies, 24(5), 2653–2675.
Kaur, S. J. (2017). Need for bridging the Industry-Academia Gap. International Journal of Engineering Development and Research, 5(4), 1243–55.
Kortuem, G., et al. (2013). Educating the Internet-of-Things Generation. Computer, 46(2), 53–61. https://doi.org/10.1109/MC.2012.390
Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003). “The technology acceptance model: Past, present, and future.” Communications of the Association for Information Systems, 12. https://doi.org/10.17705/1CAIS.01250; https://aisel.aisnet.org/cais/vol12/iss1/50. Accessed July-Aug 2020
Malik, Q. et al. (2009). Participation in a freshman design sequence and its influence on students’ attitudes towards engineering. 2009 39th IEEE Frontiers in Education Conference, San Antonio, pp. 1-6. https://doi.org/10.1109/FIE.2009.5350850.
Romanovs, A., Soshko, O., Merkuryev, Y., and Novickis, L.. (2012). “Evaluation of Engineering Course Content by Bloom’s Taxonomy: A Case Study.” Lecture Notes in Business Information Processing 106 LNBIP: 158–70.
Velosa, A., Tratz-Ryan, B. (2014). Hype Cycle for Smart City Technologies and Solutions. Avaialable at: https://www.gartner.com/en/documents/2805122/hype-cycle-for-smart-city-technologies-and-solutions-201. Accessed July-Aug 2020
Venkatesh, V. (2003). User acceptance of information technology: toward a unified view. MIS Quaterly, 47(2), 252–269.
Wang, M. T. (2009). School climate support for behavioral and psychological adjustment: Testing the mediating effect of social competence. School Psychology Quarterly, 24(4), 240–251.
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Appendices
Annexure 1 “Course Clinic”
The course clinic was conceptualized to cater to the running doubts of the students regarding the course content and the activities.
Following were the features of Course Clinic.
The clinic was catering to two types of student queries
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Generic Doubts: These were common doubts which were resolved instantaneously through WhatsApp or SMS.
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Specific Doubts: The doubts which required the experts and detailed reasoning in the form of flow charts or equations were resolved through one to one meeting on appointment. These types of doubts were taken care of by specialists.
Annexure 2 “Mini Project”
Sample Problem statement for Mini Project
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1.
Automatic water level controller
Design an IoT solution to monitor the level of the water tank remotely and if the water level is below the threshold value switch on the motor to fill the container to the desired level.
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a.
monitor water level
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b.
Control the motor
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c.
Send notification to the user
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2.
Weather monitoring system
Design an IoT solution to monitor the temperature and humidity inside a room. Save the data onto a cloud and find the average temperature and humidity for a day.
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a.
Measure the temperature and humidity inside the room
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b.
Store the data onto the cloud
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c.
Calculate the average values of temperature and humidity and send the information to the user.
Group Size: This mini project is a group activity and the size of each group is restricted to four students.
Requirements for Submission:
The following are a set of requirements to complete this activity:
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Project Plan
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A working prototype of the project
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A brief report of the project
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Project Demo
Time Allocated for Mini-Project:
S. No | Type of Activity | Time allotted in days |
1 | Project plan preparation | 1 |
2 | Components Purchase and order | 2 |
3 | Prototype development | 10 |
4 | Report Preparation | 2 |
Total Duration of Project Work | 15 |
Evaluation Scheme: A continuous evaluation scheme as discussed in the main text followed to evaluate the mini-project activity.
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Malhotra, S., Kumar, A. & Dutta, R. Effect of integrating IoT courses at the freshman level on learning attitude and behaviour in the classroom. Educ Inf Technol 26, 2607–2621 (2021). https://doi.org/10.1007/s10639-020-10376-0
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DOI: https://doi.org/10.1007/s10639-020-10376-0