Abstract
In modern days, there is a need for an effective, smart, and quick teaching methodologies helping students to have intelligent and thorough knowledge experience. Effective teaching depends on deliverable methods and moral learning environment. New trends in this regard have raised the term Internet of everything (IoE) which connects machine, people, and processes. This paper offers an IoE-based solution to upgrade teaching and learning processes. IoE covers the entire digital age with miniaturized operating system devices serving easy integration of large applications on these tiny devices. We present an innovative approach for creating a smart learning environment, in which teaching resources are automatically operated after entering credentials through a Web application. Learning strategy also supports recording functionality wherein teacher can record the lecture contents and students can view recorded lecture series and can also interact through the collaborative screen. All modules are being controlled through embedded computing device Raspberry Pi for hardware interfacing, Web application, intelligent media for controlling the resources, and scripting module for the collaborative screen. As different features are integrated into a centralized zone along with a modest and easily operated interface, this system results as a worthwhile and helpful for both teachers and students.
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References
Hussain, F.: Internet of things: “Building blocks and business models”. No. 978-3. Springer International Publishing (2017)
Lee, I., Lee, K.: The internet of things (IoT): applications, investments, and challenges for enterprises. Bus. Horiz. 58(4), 431–440 (2015)
Sarode, S., Bakal, J.: VSRS: variable service rate scheduler for low rate wireless sensor networks. J. Telecommun. Electron. Comput. Eng. (JTEC) 9(4), 37–44 (2017)
Vaidya B., Patel, A., Panchal, A., Mehta, R., Mehta, K., Vaghasiya, P.: Smart home automation with a unique door monitoring system for old age people using python, opencv, android and raspberry Pi. In: International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 82–86. IEEE, Madurai, India (2017)
Menezes, V., Patchava, V., Gupta, M.S.D.: Surveillance and monitoring system using Raspberry Pi and SimpleCV. In: International Conference on Green Computing and Internet of Things (ICGCIoT), pp. 1276–1278. IEEE, Noida, India (2015)
Lamine, H., Abid, H.: Remote control of a domestic equipment from an android application based on Raspberry pi card. In: 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), pp. 903–908. IEEE, Hammamet, Tunisia (2014)
Patchava, V., Kandala, H.B., Babu, P.R.: A smart home automation technique with raspberry pi using iot. In: International Conference on Smart Sensors and Systems (IC-SSS), pp. 1–4. IEEE, Bangalore, India (2015)
Sandeep, V., Gopal, K.L., Naveen, S., Amudhan, A., Kumar, L.S.: Globally accessible machine automation using Raspberry pi based on Internet of Things. In: 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1144–1147. IEEE, Kochi, India (2015)
Zhang, D., Lin, S., Fu, Y., Huang, S.: The communication system between web application host computers and embedded systems based on Node. JS. In: 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1–5. IEEE, Shanghai, China (2017)
Stergiou, C., Psannis, K.E., Kim, B.-G., Gupta, B.: Secure integration of IoT and cloud computing. Future Gener. Compu. Syst. 78, 964–975 (2018)
Xue, H., Zhang, Y.: A WebRTC-based video conferencing system with screen sharing. In: 2nd IEEE International Conference on Computer and Communications (ICCC), pp. 485–489. IEEE, Chengdu, China (2016)
Malhotra, J., Bakal, J.: A deterministic eviction model for removing redundancies in video corpus. Int. J. Electr. Comput. Eng. (IJECE) 8(5), 3221–3231 (2018)
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Rathod, A., Ayare, P., Bobhate, R., Sachdeo, R., Sarode, S., Malhotra, J. (2020). IoE-Enabled Smart Embedded System: An Innovative Way of Learning. In: Tuba, M., Akashe, S., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Advances in Intelligent Systems and Computing, vol 933. Springer, Singapore. https://doi.org/10.1007/978-981-13-7166-0_66
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