More Web Proxy on the site http://driver.im/

research-article

Internet of Things (IoT)-based Learning Framework to Facilitate STEM Undergraduate Education

Authors:

Jing Selena He,

Patrick Otoo BobbieAuthors Info & Claims

ACMSE '17: Proceedings of the 2017 ACM Southeast Conference

Pages 88 - 94

https://doi.org/10.1145/3077286.3077321

Published: 13 April 2017 Publication History

Abstract

Internet of Things (IoT) is rapidly emerging as the next generation of communication infrastructure, where myriad of multi-scale sensors and devices are seamlessly blended for ubiquitous computing and communication. The rapid growth of IoT applications has increased the demand for experienced professionals in the area. Since few, if any, dedicated IoT courses are currently offered, most Science, Technology, Engineering, and Mathematics (STEM) students will have limited or no exposure to IoT development until after graduation, and inadequately prepared in IoT development to enter into the workforce. Therefore, we have implemented an IoT-based learning framework to facilitate STEM undergraduate education. The design challenges of the novel learning framework are discussed in the paper. Subsequently, we established effective learning approaches to address the challenges. Specifically, we have introduced a lab development kit composed of Raspberry™ Pi/Arduino™ boards and sets of sensors with Zigbee™ supporting to provide wireless communication.

References

[1]

J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, Internet of Things (IoT): A vision, architectural elements, and future directions, Future Generation Computing System, 29, pp. 1645--1660, 2013.

Digital Library

[2]

J. Manyika, M. Chui, J. Woetzel, R. Dobbs, Unlocking the potential of the Internet of Things, McKinsey Global Institute, June, 2015.

[3]

Computer Science For All initiative, https://www.whitehouse.gov/blog/2016/01/30/computer-science-all, accessed in April, 2016.

[4]

KSU Comprehensive University, https://web.kennesaw.edu/news/category/tags/comprehensive-university, accessed in April, 2016.

[5]

KSU R3 Institution, https://web.kennesaw.edu/news/stories/kennesaw-state-elevated-doctoral-research-institution-carnegie-classification, accessed in April, 2016.

[6]

Carter, L. (2006). Why students with an apparent aptitude for computer science dont choose to major in computer science. ACM Technical Symposium on Computer Science Education (SIGCSE) (March 2006), Houston, TX, 27--31.

Digital Library

[7]

Buzzetto-More, N., Ukoha, O., and Rustagi, N. (2010). Unlocking the barriers to women and minorities in computer science and information systems studies: Results from a multimethodolical study conducted at two minority serving institutions, Journal of Information Technology Education, vol. 9, 115--131.

[8]

Bobbie, P. O., Deosthale, C., and Thain, W., "TELEMEDICINE: A Mote-based Data Acquisition System for Real Time Health Monitoring," The Second IASTED International Conference on TELEHEALTH 2006, Banff, Alberta, Canada, July 3-5, 2006, pp. 22--28.

[9]

A. Janiak, and R. Rudek, Experience-Based Approach to Scheduling Problems With the Learning Effect, IEEE Transactions on Systems, Man, and Cybernetics Society, 39(2):344--357, March, 2009.

Digital Library

[10]

Varma, R. Making computer science minority-friendly. Communications of the ACM (February 2006), vol. 49 (2), pp. 129--134.

Digital Library

[11]

Yardi, S. and Bruckman, A. What is computing? Bridging the gap between teenagersperceptions and graduate students experiences. ICER (September 2007), Atlanta, GA, pp. 39--49.

Digital Library

[12]

Rich, L., Perry, H., and Guzdial, M. A CS1 course designed to address interests of women. ACM Technical Symposium on Computer Science Education. (SIGCSE) (March 2004), Norfolk, VA, pp. 190--194.

Digital Library

[13]

X. Jia, O. Feng, T. Fan, and Q. Lei, RFID technology and its applications in internet of things (IoT), 2nd IEEE conference on Consumer Electronics, Communications and Networks (CECNet'12), pp. 1282--1285, 2012.

[14]

C. Sun, Application of RFID technology for logistics on internet of things, AASRI Conference on Computational Intelligence and Bioinfor- matics, pp. 106--111, 2012.

[15]

J. He, S. Ji, Y. Pan, and Y. Li, Constructing Load-Balanced Data Aggregation Trees in Probabilistic Wireless Sensor Networks, IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 25, No. 7, pp. 1681--1690, July, 2014.

Digital Library

[16]

J. He, S. Ji, R. Beyah, Y. Xie, and Y. Li, Constructing Load-Balanced Virtual Backbones in Probabilistic Wireless Sensor Networks via Multi- Objective Genetic Algorithm, Transactions on Emerging Telecommuni- cations Technologies (ETT), Vol. 26, No. 2, pp. 147--163, February, 2015.

Digital Library

[17]

T.G. Zimmerman, Personal area networks: Near-field intrabody com- munication, IBM System Journal, Vol. 35, pp. 609--617, 1996.

Digital Library

[18]

P. Baronti, P. Pillai, V.W. Chook, S. Chessa, A. Gotta, and Y.F. Hu, Wireless sensor networks: A survey on the state of the art and the 802.15. 4 and ZigBee standards, Computer Communication, Vol. 30, pp, 1655 1695, 2007.

Digital Library

[19]

Bluetooth, S.I.G. Specification of the Bluetooth System, version 1.1. Available online: http://www.bluetooth.com (accessed in March 2015).

[20]

G. Anstasi, M. Conti, E. Gregori, and A. Passarella, 802.11 power-saving mode for mobile computing in Wi-Fi hotspots: limitations, enhancements and open issues, Wireless Networking, Vol. 14, pp. 745--768, 2008.

Digital Library

[21]

M.K. Karakayali, G.J. Foschini, and R.A. Valenzuela, Network coordina- tion for spectrally efficient communications in cellular systems, Wireless Communication, Vol. 13, pp. 56--61, 2006.

Digital Library

[22]

J. He, S. Ji, R. Beyah, and Z. Cai, Minimum-sized Influential Node Set Selection for Social Networks under the Independent Cascade Model, ACM MOBIHOC 2014, pp. 93--102, 2014.

Digital Library

[23]

J. A. Gonzalez-Martnez, M. L. Bote-Lorenzo, E. Gomez-Sanchez, and R. Cano-Parra, Cloud computing and education: A state-of-the-art survey, Computers & Education, Vol. 80, pp. 132--151, 2015.

Digital Library

[24]

Ardunio Products, Available online: http://arduino.cc/en/Main/Products, accessed in April, 2016.

[25]

Raspberry Pi, https://www.raspberrypi.org/, accessed in April, 2016. {25} T. O'Reilly, What is Web 2.0: Design patterns and business models for the next generation of software, International Journal of Digital Economics, Vol. 65, pp. 17--37, 2007.

[26]

Arduino Bridge Library. http://arduino.cc/en/Reference/YunBridgeLibrary, accessed in April, 2016.

[27]

ThingSpeak API. https://thingspeak.com/, accessed in April, 2016.

Cited By

Štuikys VBurbaitė RŠtuikys VBurbaitė R(2024)Multi-stage Prototyping for Introducing IoT Concepts: A Case StudyEvolution of STEM-Driven Computer Science Education10.1007/978-3-031-48235-9_7(191-215)Online publication date: 1-Jan-2024
https://doi.org/10.1007/978-3-031-48235-9_7
Dujić Rodić LStančić IČoko DPerković TGranić A(2023)Towards a Machine Learning Smart Toy Design for Early Childhood Geometry Education: Usability and PerformanceElectronics10.3390/electronics1208195112:8(1951)Online publication date: 21-Apr-2023
https://doi.org/10.3390/electronics12081951
He JLi ZTian X(2023)An IoT-based System of Converting Handwritten Text to Editable Format via Gesture RecognitionProceedings of the 24th Annual Conference on Information Technology Education10.1145/3585059.3617575(142-147)Online publication date: 11-Oct-2023
https://dl.acm.org/doi/10.1145/3585059.3617575
Show More Cited By

Recommendations

The internet of things in undergraduate computer and information science education: exploring curricula and pedagogy
ITiCSE 2018 Companion: Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education

As the Internet of Things (IoT) continues its expansion into homes, businesses, government, and industries, the impact for computer science educators is amplified. In 2017, the ITiCSE IoT working group identified relevant content, tools for teaching, ...
An Energy-Efficient Secure Adaptive Cloud-of-Things (CoT) Framework to Facilitate Undergraduate STEM Education
SIGITE '18: Proceedings of the 19th Annual SIG Conference on Information Technology Education

This paper presents an adaptive framework (web application) that supports secure, end-to-end Internet of Things (IoT) sensing architecture, which includes loosely coupled set of components with well-defined interfaces that can be adapted to a wide range ...
Internet-based delivery of undergraduate management education: current status and future trends

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

ACMSE '17: Proceedings of the 2017 ACM Southeast Conference

April 2017

275 pages

ISBN:9781450350242

DOI:10.1145/3077286

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

ACM: Association for Computing Machinery

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ACM SE '17

Sponsor:

ACM

ACM SE '17: SouthEast Conference

April 13 - 15, 2017

GA, Kennesaw, USA

Acceptance Rates

ACMSE '17 Paper Acceptance Rate 21 of 34 submissions, 62%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

22
Total Citations
View Citations
520
Total Downloads

Downloads (Last 12 months)23
Downloads (Last 6 weeks)0

Reflects downloads up to 13 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Štuikys VBurbaitė RŠtuikys VBurbaitė R(2024)Multi-stage Prototyping for Introducing IoT Concepts: A Case StudyEvolution of STEM-Driven Computer Science Education10.1007/978-3-031-48235-9_7(191-215)Online publication date: 1-Jan-2024
Dujić Rodić LStančić IČoko DPerković TGranić A(2023)Towards a Machine Learning Smart Toy Design for Early Childhood Geometry Education: Usability and PerformanceElectronics10.3390/electronics1208195112:8(1951)Online publication date: 21-Apr-2023
He JLi ZTian X(2023)An IoT-based System of Converting Handwritten Text to Editable Format via Gesture RecognitionProceedings of the 24th Annual Conference on Information Technology Education10.1145/3585059.3617575(142-147)Online publication date: 11-Oct-2023
Kouvara TFanariotis AFotopoulos VKarachristos COrphanoudakis T(2023)Why Re-Focus on IoT in Education? Evidence of the PARADIGM Project2023 IEEE Frontiers in Education Conference (FIE)10.1109/FIE58773.2023.10343223(01-09)Online publication date: 18-Oct-2023
Andueza Unanua A(2022)Design of an Internet of Things project for electronic instrumentation training of industrial engineers2022 Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica (XV Technologies Applied to Electronics Teaching Conference)10.1109/TAEE54169.2022.9840535(1-8)Online publication date: 29-Jun-2022
Bolanakis D(2022)Microcontroller EducationundefinedOnline publication date: 21-Mar-2022
Syed Ridza SMotakabber S(2021)IoT-Based Lab System for Teaching Methods in Times of CrisisAsian Journal of Electrical and Electronic Engineering10.69955/ajoeee.2021.v1i2.191:2(14-19)Online publication date: 30-Sep-2021
Chweya RIbrahim O(2021)Internet of Things (IoT) Implementation in Learning Institutions: A Systematic Literature ReviewPertanika Journal of Science and Technology10.47836/pjst.29.1.2629:1Online publication date: 2021
Singh BMasilamani A(2021)IoT in the Education SectorApplications of Artificial Intelligence for Smart Technology10.4018/978-1-7998-3335-2.ch013(192-205)Online publication date: 2021
Coko DRodic LPerkovic TSolic P(2021)Geometry from Thin Air: Theremin as a Playful Learning Device2021 16th International Conference on Telecommunications (ConTEL)10.23919/ConTEL52528.2021.9495979(89-96)Online publication date: 30-Jun-2021
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents