Abstract
Recent advances in computing and telecommunication technology have made powerful wearable computers available. They are always connected to a wireless infrastructure with batteries and last an entire day, all for reasonable price. Examples of such computers currently available on the market are Google Glass wearable intelligent glasses and the Sony Smartwatch wearable wristwatch. For the first time, interconnected devices worn by the professor that communicate with a large computing infrastructure permit massive data extraction (known as “big data” resources), which can be data-mined to monitor the knowledge-building process, thus maximizing efficiency in higher education environments.
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Beighton N (2013) The human cloud: wearable technology’s impact on society filed in cloud industry insights. Rackspace. http://www.rackspace.com/blog/the-human-cloud-wearable-technologys-impact-on-society/. Accessed 28 Oct 2013
Chalfoun P, Frasson C (2011) Subliminal cues while teaching: HCI technique for enhanced learning. Adv Hum-Comput Interact 2011:1–15
Demianyk S (2013) The impact of wearable tech on office IT security. Real business. http://realbusiness.co.uk/p/24308. Accessed 21 Oct 2013
Furlan R (2013) Build your own Google glass. IEEE Spectrum 50(1):20–21. doi:10.1109/MSPEC.2013.6395297
Laney D (2001) 3D data management: controlling data volume velocity and variety. META Group. http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf. Accessed 7 Nov 2013
Lawler R (2013) iPhone 5s packs M7 motion-sensing chip, CoreMotion API for more accurate tracking. Engadget, Sept 2013. http://www.engadget.com/2013/09/10/iphone-5s-m7-coremotion-motion-coprocessor. Accessed 8 Nov 2013
Lisetti CL, Nasoz F (2004) Using noninvasive wearable computers to recognize human emotions from physiological signals. EURASIP J Appl Signal Process 2004:1672–1687
Llorente R, Morant M (2011) Data mining in higher education. In: Funatsu K, Hasegawa K (eds) New fundamental technologies in data mining. Intech, Croatia, pp 201–221
Looi C-K, Wong L-H, So H-J, Seow P, Toh Y, Chen W, Zhang B, Norris C (2009) Anatomy of a mobilized lesson: learning my way. Comput Educ 53(4):1120–1132
Martin T, Siewiorek DP (1994) Wearable computers. IEEE Potentials 13(3):36–38. doi:10.1109/45.310937
McClusky M (2009) The Nike experiment: How the shoe giant unleashed the power of personal metrics. Wired Magazine, June 2009. www.wired.com/medtech/health/magazine/17-07/lbnp_nike. Accessed 4 Nov 2013
Nakasugi H, Yamauchi Y (2002) Past viewer: development of wearable learning system for history education. International conference on computers in education, vol 2, pp 1311–1312, doi: 10.1109/CIE.2002.1186223
Negulescu M, Li Y (2013) Open Project: a lightweight framework for remote sharing of mobile applications. Proceedings of the 26th annual ACM symposium on user interface software and technology UIST ‘13, 281–290, doi: http://dx.doi.org/10.1145/2501988.2502030
Osawa N, Asai K (2006). A wearable learning support system with a head-mounted display and a foot-mounted RFID reader. International conference on information technology based higher education and training ITHET06, 523–530, doi: 10.1109/ITHET.2006.339807
Rackspace (2013) The human cloud: wearable technology from novelty to production. A social study into the impact of wearable technology. Rackspace whitepaper. www.rackspace.co.uk/humancloud. Accessed 28 Oct 2013
Santos OC, Rodriguez-Ascaso A, Boticario JG, Salmeron-Majadas S, Quirós P, Cabestrero R (2013) Challenges for inclusive affective detection in educational scenarios. Proceedings of the 7th International conference on universal access in human-computer interaction: design methods, tools, and interaction techniques for eInclusion 2013
Sharples M (2000) The design of personal mobile technologies for lifelong learning. Comput Educ 34(3–4):177–193
Soman KP, Diwakar S, Ajay V (2006) Data mining: theory and practice. PHI Learning, Delhi
Starner TE (2002) Wearable computers: no longer science fiction. IEEE Pervas Comput 1(1):86–88. doi:10.1109/MPRV.2002.993148
Thorp EO (1998) The invention of the first wearable computer. Second international symposium on wearable computers, pp 4–8, doi: 10.1109/ISWC.1998.729523
Vallurupalli S, Paydak H, Agarwal SK, Agrawal M, Assad-Kottner C (2013) Wearable technology to improve education and patient outcomes in a cardiology fellowship program—a feasibility study. Health Technol J. doi: 10.1007/s12553-013-0065-4
Yordanova K (2007). Mobile learning and integration of advanced technologies in education. International conference on computer systems and technologies—CompSysTech‘07
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Llorente, R., Morant, M. (2014). Wearable Computers and Big Data: Interaction Paradigms for Knowledge Building in Higher Education. In: Peris-Ortiz, M., Garrigós-Simón, F., Gil Pechuán, I. (eds) Innovation and Teaching Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-04825-3_13
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DOI: https://doi.org/10.1007/978-3-319-04825-3_13
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