Abstract
Estonian Lifelong Learning Strategy (ELLS) 2020 aims to implement ambitious Digital Turn towards 1:1 computing, and schools are expected to explore new ways of using novel technologies (including wearables) to facilitate creative and collaborative learning through interdisciplinary projects. This case study summarises a pilot project that engaged 7th–12th grade students in research-based design of a mobile kit for wearable enhanced learning, under the guidance of university researchers. Five groups of students, four from urban and one from a small rural school, were involved in testing, redesigning and expanding the initial set of wearables: trackers, Arduino boards, Adafruit Gemma sensors, cables, tools, etc. This case study followed design-based research approach that involved composing four personas (two students, a teacher and an entrepreneur) and three usage scenarios as input for iterative prototyping and experimentation process. We also conducted a design experiment with university students to get confirmation of suitability of these IoT kits. In the next step of the pilot project, students are going to be engaged in an iterative process of learning, researching, experimenting with and prototyping these mobile kits of wearable technology that could help them to carry out inquiry-based learning (IBL) of their own learning process and environment.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Alletto, S., Cucchiara, R., Del Fiore, G., Mainetti, L., Mighali, V., Patrono, L., & Serra, G. (2016). An indoor location-aware system for an IoT-based smart museum. IEEE Internet of Things Journal, 3(2), 244–253.
Andrade, A., & Worsley, M. (2017). A methodological framework for the exploratory analysis of multimodal features in learning activities. In MMLA-CrossLAK@ LAK (pp. 99–103).
Bell, T., Urhahne, D., Schanze, S., & Ploetzner, R. (2010). Collaborative inquiry learning: Models, tools, and challenges. International Journal of Science Education, 32(3), 349–377.
Burd, B., Elahi, A., Russell, I., Barker, L., Pérez, A. F., Siever, B., Divitini, M., Parker, A., Tudor, L., & Guerra, J. G. (2017, June). The Internet of Things in CS education: Current challenges and future potential. In Proceedings of the 2017 ACM conference on innovation and technology in computer science education (pp. 392–392). New York: ACM.
Bybee, R. W. (2010). Advancing STEM education: A 2020 vision. Technology and Engineering Teacher, 70(1), 30.
Caprile, M., Palmén, R., Sanz, P., & Dente, G. (2015). Encouraging STEM studies for the labour market. Brussels: Directorate General for Internal Policies, European Union.
Carroll, J. M. (2000). Making use: Scenario-based design of human-computer interactions. Cambridge, MA: MIT Press.
de Arriba-Pérez, F., Caeiro-Rodríguez, M., & Santos-Gago, J. M. (2017, June). Towards the use of commercial wrist wearables in education. In Experiment@ international conference (exp. at’17), 2017 4th (pp. 323–328). IEEE.
de la Guía, E., Camacho, V. L., Orozco-Barbosa, L., Luján, V. M. B., Penichet, V. M. R., & Pérez, M. D. L. (2016). Introducing IoT and wearable technologies into task-based language learning for young children. TLT, 9(4), 366–378.
Delgado-Gonzalo, R., Hubbard, J., Renevey, P., Lemkaddem, A., Vellinga, Q., Ashby, D., Willardson, J., & Bertschi, M. (2017, July). Real-time gait analysis with accelerometer-based smart shoes. In 2017 39th annual international conference of the IEEE engineering in medicine and biology society (EMBC) (pp. 148–148c). IEEE.
Di Mitri, D., Scheffel, M., Drachsler, H., Börner, D., Ternier, S., & Specht, M. (2016). Learning pulse: Using wearable biosensors and learning analytics to investigate and predict learning success in self-regulated learning. Proceedings of the Seventh International Conference on Learning Analytics & Knowledge, March 13--17, 2017, Vancouver, British Columbia, Canada.
Domínguez, F., & Ochoa, X. (2017, April). Smart objects in education: An early survey to assess opportunities and challenges. In eDemocracy & eGovernment (ICEDEG), 2017 fourth international conference on (pp. 216–220). IEEE.
Donkrajang, W., Watthanawisuth, N., Mensing, J. P., & Kerdcharoen, T. (2012, December). Development of a wireless electronic shoe for walking abnormalities detection. In Biomedical Engineering International Conference (BMEiCON), 2012 (pp. 1–5). IEEE.
Echeverria, V., Falcones, G., Castells, J., Granda, R., & Chiluiza, K. (2017, January). Multimodal collaborative workgroup dataset and challenges. In CEUR workshop proceedings.
English, L. D., & King, D. T. (2015). STEM learning through engineering design: Fourth-grade students’ investigations in aerospace. International Journal of STEM Education, 2(1), 14.
ESTONIA – Country Report on ICT in Education. European Schoolnet 2015. Available at: http://www.eun.org/resources/country-reports
Giannakos, M. N. (2016). Orchestrating 21st century learning ecosystems using analytics. In CrossLAK (pp. 47–51).
Haaristo, H. S., Kirss, L., Mägi, E., & Nestor, M. (2013). Üldhariduse ja noorte valdkonna struktuurifondide meetmete vahehindamine.
He, J., Lo, D. C. T., Xie, Y., & Lartigue, J. (2016a, October). Integrating Internet of Things (IoT) 715 into STEM undergraduate education: Case study of a modern technology infused courseware 716 for embedded system course. In 2016 IEEE frontiers in education conference (FIE) (pp. 1–9). 717 IEEE. 718.
He, J., Lo, D. C. T., Xie, Y., & Lartigue, J. (2016b, October). Integrating Internet of Things (IoT) 719 into STEM undergraduate education: Case study of a modern technology infused courseware 720 for embedded system course. In 2016 IEEE frontiers in education conference (FIE) (pp. 1–9). 721 IEEE.
Hoić-Božić, N., Laanpere, M., Pata, K., Franković, I., & Teder, S. (2016, May). Introducing inquiry-based learning to Estonian teachers: Experiences from the Creative Classroom project. In Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016 39th international convention on (pp. 1010–1015). IEEE.
Huang, C. C., Lin, W. Y., & Lee, M. Y. (2017, October). Development and verification of an accelerometer-based respiratory detection algorithm with wearable instrumented smart clothes. In Systems, Man, and Cybernetics (SMC), 2017 IEEE international conference on (pp. 578–581). IEEE.
Jeon, S., Lee, C., Han, Y., Seo, D., & Jung, I. (2017, January). The smart shoes providing the gait information on IoT. In Consumer Electronics (ICCE), 2017 IEEE international conference on (pp. 108–109). IEEE.
Johnson. (2012). What is a smart building. In Lynggaard, P. (2013). Artificial intelligence and Internet of Things in a “smart home” context: A Distributed System Architecture. (Doctoral dissertation, A Thesis Submitted in Partial Fulfilment of the Requirements for the Degree of Doctor of Philosophy).
Junokas, M. J., Kohlburn, G., Kumar, S., Lane, B., Fu, W. T., & Lindgren, R. (2017). Using one-shot machine learning to implement real-time multimodal learning analytics. In Proceedings CEUR workshop (pp. 89–93).
Kazman, R., Abowd, G., Bass, L., & Clements, P. (1996). Scenario-based analysis of software architecture. IEEE Software, 13(6), 47–55.
Kickmeier-Rust, M. D., & Albert, D. (2017). Using structural domain and learner models to link multiple data sources for learning analytics. In MMLA and cross-LAK workshops 2017. Joint proceedings of the sixth Multimodal Learning Analytics (MMLA) workshop and the second cross-LAK workshop co-located with 7th international learning analytics and knowledge conference (LAK 2017).
Kipper, H., & Ruutmann, T. (2012, September). Teaching for understanding in engineering education. In Interactive Collaborative Learning (ICL), 2012 15th international conference on (pp. 1–9). IEEE.
Kusmin, M., Saar, M., Laanpere, M., & Rodríguez-Triana, M. J. (2017, April). Work in progress—Smart schoolhouse as a data-driven inquiry learning space for the next generation of engineers. In Global Engineering Education Conference (EDUCON), 2017 IEEE (pp. 1667–1670). IEEE.
Li, X., Lu, R., Liang, X., Shen, X., Chen, J., & Lin, X. (2011). Smart community: An internet of things application. IEEE Communications Magazine, 49(11), 68.
Lynggaard, P. (2013). Artificial intelligence and Internet of Things in a “smart home” context: A distributed system architecture. (Doctoral dissertation, a thesis submitted in partial fulfilment of the requirements for the degree of doctor of philosophy).
Minor, B. D., Doppa, J. R., & Cook, D. J. (2017). Learning activity predictors from sensor data: Algorithms, evaluation, and applications. IEEE Transactions on Knowledge and Data Engineering, 29(12), 2744–2757.
National Research Council. (2011). Successful K-12 STEM education: Identifying effective approaches in science, technology, engineering, and mathematics. Washington, D.C.: National Academies Press.
National Science and Technology Council. (2013). Federal science, technology, engineering, and mathematics (STEM) education: 5-year strategic plan.
Nugroho, R. A., & Haryani, T. N. (2016, August). Generation X and generation Y perception towards Internet of Things in public service: A preliminary study in Indonesia. In Communications (APCC), 2016 22nd Asia-Pacific Conference on (pp. 110–114). IEEE.
Okubo, F., Hirokawa, S., Oi, M., Shimada, A., Kojima, K., Yamada, M., & Ogata, H. (2016). Learning activity features of high performance students. In CEUR Workshop Proceedings (Vol. 1601, pp. 28–33).
Organisation for Economic Co-operation and Development. (2013). PISA 2012 assessment and analytical framework: Mathematics, reading, science, problem solving and financial literacy. Paris: OECD Publishing.
Pham, C., Diep, N. N., & Phuong, T. M. (2017, October). E-shoes: Smart shoes for unobtrusive human activity recognition. In Knowledge and systems engineering (KSE), 2017 9th international conference on (pp. 269–274). IEEE.
Pila, R., & Rawat, S. (2017, July). Human footstep detection using proximity compensation algorithm withaccelerometer and time of flight sensor. In IEEE Region 10 Symposium (TENSYMP), 2017 (pp. 1–4). IEEE.
Prieto, L. P., Rodriguez Triana, M. J., Kusmin, M., & Laanpere, M. (2017). Smart school multimodal dataset and challenges. In Joint proceedings of the sixth Multimodal Learning Analytics (MMLA) workshop and the second cross-LAK workshop co-located with 7th international learning analytics and knowledge conference (Vol. 1828, No. CONF). CEUR.
Prinsley, R. T., & Baranyai, K. (2013). STEM skills in the workforce: What do employers want? Office of the Chief Scientist.
Pruet, P., Ang, C. S., Farzin, D., & Chaiwut, N. (2015, June). Exploring the Internet of “Educational Things”(IoET) in rural underprivileged areas. In Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2015 12th international conference on (pp. 1–5). IEEE.
Republic of Estonia Ministry of Education and Research. (2013). Digital agenda 2020 for Estonia. https://www.mkm.ee/sites/default/files/digital_agenda_2020_estonia_engf.pdf. Accessed 01 2018.
Republic of Estonia Ministry of Education and Research. (2014a). Estonian lifelong learning strategy 2020. https://www.hm.ee/en/estonian-lifelong-learning-strategy-2020. Accessed 01 2018.
Republic of Estonia Ministry of Education and Research. (2014b). Digital focus. https://www.hm.ee/en/activities/digital-focus. Accessed 01 2018.
Republic of Estonia Ministry of Education and Research. (2016). National curricula for basic schools and upper secondary schools. https://www.riigiteataja.ee/en/eli/521062016007/consolide. Accessed 01 2018.
Rosson, M. B., & Carroll, J. M. (2009). Scenario based design. Human-computer interaction (pp. 145–162). Boca Raton: CRC Press Taylor & Francis Group.
Rüütmann, T., & Saar, M. (2017, April). Scholarly teaching and scholarship of teaching and learning in teaching engineering. In Global Engineering Education Conference (EDUCON), 2017 IEEE (pp. 213–218). IEEE.
Seesaard, T., Lorwongtragool, P., Nilpanapan, T., & Kerdcharoen, T. (2013, May). A smart sniffing shoes based on embroidered sensor array. In Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2013 10th international conference on (pp. 1–4). IEEE.
Srinivasa, K. G., & Sowmya, B. J. (2016, December). Project based learning for Internet of Things and data analytics: Experience report of learning from ET601X. In Technology for Education (T4E), 2016 IEEE eighth international conference on (pp. 262–263). IEEE.
Su, H. F. H., Ledbetter, N., & Ferguson, J. (2017). Finland: An exemplary STEM educational system. Transformation, 3(1), 4.
The Royal Society (Charity). (2014). Vision for science and mathematics education. London: The Royal Society Science Policy Centre.
Ueda, T., & Ikeda, Y. (2016, November). Stimulation methods for students’ studies using wearables technology. In Region 10 conference (TENCON), 2016 IEEE (pp. 1043–1047). IEEE.
Whitmore, A., Agarwal, A., & Da Xu, L. (2015). The Internet of Things—A survey of topics and trends. Information Systems Frontiers, 17(2), 261–274.
Wibawa, A. D., & Sumpeno, S. (2017, September). Gesture recognition for Indonesian Sign Language Systems (ISLS) using multimodal sensor leap motion and Myo armband controllers based-on Naïve Bayes classifier. In Soft Computing, Intelligent System and Information Technology (ICSIIT), 2017 international conference on (pp. 1–6). IEEE.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Kusmin, M., Kusmin, KL., Laanpere, M., Tomberg, V. (2019). Engaging Students in Co-designing Wearable Enhanced Learning Kit for Schools. In: Buchem, I., Klamma, R., Wild, F. (eds) Perspectives on Wearable Enhanced Learning (WELL). Springer, Cham. https://doi.org/10.1007/978-3-319-64301-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-64301-4_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-64300-7
Online ISBN: 978-3-319-64301-4
eBook Packages: EducationEducation (R0)