Research Article
Instant Evaluation of Teaching Methods and Students’ Comprehension Level using Smart Mobile Technology
@ARTICLE{10.4108/eai.13-7-2018.156384, author={George Tsamis and Nikos Papadakis and Evangelos Tzirakis and Maria Rousaki and Evi Katsaraki and John Nikolopoulos and Emmanouela Panteri and Kostas Vassilakis}, title={Instant Evaluation of Teaching Methods and Students’ Comprehension Level using Smart Mobile Technology}, journal={EAI Endorsed Transactions on Creative Technologies}, volume={5}, number={16}, publisher={EAI}, journal_a={CT}, year={2018}, month={7}, keywords={Mobile, Application, Real Time, Teaching Methods, Evaluation}, doi={10.4108/eai.13-7-2018.156384} }
- George Tsamis
Nikos Papadakis
Evangelos Tzirakis
Maria Rousaki
Evi Katsaraki
John Nikolopoulos
Emmanouela Panteri
Kostas Vassilakis
Year: 2018
Instant Evaluation of Teaching Methods and Students’ Comprehension Level using Smart Mobile Technology
CT
EAI
DOI: 10.4108/eai.13-7-2018.156384
Abstract
We design, implement and evaluate performance of Exantas application which is compatible with Android Operating System 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. Moreover, teachers are now able to perform quickly and without effort, small evaluation tests during their lessons for each student individually and keep tracking of their overall semester performance, concluding in a more extensive, generic and reliable grading system. 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 queries are processed anonymously ensuring anonymity and integrity since students are not afraid to provide their actual answers when teaching method is evaluated, and individually for each account when students’ performance is checked.
Copyright © 2018 George Tsamis et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.