Abstract
We design, implement and evaluate performance of Exantas application which is compatible with Android Operating Systems Smartphone devices. As Exantas tool was able to show ancients travelers the correct route to follow we show that our application can help educational staff to improve their skills and evaluate on the fly how efficient is the educational style that they follow. Results can help teachers measure while teaching how much of the lessons content has been successfully absorbed by students and what are the topics that need further analysis or even a completely new explanation approach. As experiments show, Exantas is able to reduce teaching efforts and to reveal real lessons comprehension status since Teachers can make multiple Questions to all students and receive answers in seconds. Moreover, all answers are processed anonymously ensuring anonymity and integrity since students are not afraid to provide their actual answer.
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
National Research Council: How People Learn: Brain, Mind, Experience, and School, Expanded edn. National Academies Press, Washington (2000)
Abachi, H.R., Muhammad, G.: The impact of m-learning technology on students and educators. Comput. Hum. Behav. 30, 491–496 (2014)
Taspinar Sener, Z., Una, H., Aydin, H.: Using metaphors to investigate pre-service secondary mathematics teachers’ perceptions of mathematics and mathematics teacher concepts. Anthropologist 23(1–2), 291–302 (2016)
Furió, D., Juan, M.C., Seguí, I., Vivó, R.: Mobile learning vs. traditional classroom lessons: a comparative study. J. Comput. Assist. Learn. 31(3), 189–201 (2015)
Luckin, R., Clark, W., Avramides, K., Hunter, J., Oliver, M.: Using teacher inquiry to support technology-enhanced formative assessment: a review of the literature to inform a new method. Interact. Learn. Env. 25(1), 85–97 (2017)
Nam, S.Z.: Evaluation of university students’ utilization of smartphone. Int. J. Smart Home 7(4), 175–182 (2013)
Paige, K., Bentley, B., Dobson, S.: Slowmation: an innovative twenty-first century teaching and learning tool for science and mathematics pre-service teachers. Aust. J. Teacher Educ. 41(2), 1–15 (2016)
Shi, Y., Qin, W., Suo, Y., Xiao, X.: Smart classroom: bringing pervasive computing into distance learning. In: Nakashima, H., Aghajan, H., Augusto, J.C. (eds.) Handbook of ambient intelligence and smart environments, pp. 881–910. Springer, Boston (2010). https://doi.org/10.1007/978-0-387-93808-0_33
Sun, J.C.Y.: Influence of polling technologies on student engagement: an analysis of student motivation, academic performance, and brainwave data. Comput. Educ. 72, 80–89 (2014)
Zheng, B., Warschauer, M., Lin, C.H., Chang, C.: Learning in one-to-one laptop environments: a meta-analysis and research synthesis. Rev. Educ. Res. 20(10), 1–33 (2016)
Soon, T.J.: QR code. Synth. J. 2008, 59–78 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Tsamis, G. et al. (2018). Real Time Evaluation of Education Methods via Smart Mobile Technology. In: Brooks, A., Brooks, E., Vidakis, N. (eds) Interactivity, Game Creation, Design, Learning, and Innovation. ArtsIT DLI 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 229. Springer, Cham. https://doi.org/10.1007/978-3-319-76908-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-76908-0_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-76907-3
Online ISBN: 978-3-319-76908-0
eBook Packages: Computer ScienceComputer Science (R0)