Innovations in the English Classroom: The Students' Perceptions Toward Robot Media

Sri Yuliani, Dicki Hartanto, Arie Linarta

Abstract


This study sought to pinpoint key requirements for incorporating technology into education. A survey of junior high schools was used in the study which took a qualitative approach. A research sample of 35 students who were chosen purposively for the study were given the questionnaire as a data gathering tool with three components; the utility/feature of usage, the interest, and the pedagogical content of the Evoce robot. The data was analyzed by using the Guttman scale has a CS of at least 0.60 and a CR of at least 0.90, it was considered to meet the unidimental and cumulative features. The findings showed the mean of CR from three indicators was 0.908, which means the result of CR was valid while the mean score was CS was 0.798, which means that the coefficients of scalability were considered good. Based on the result findings students' opinions about the usage of the Evoce robot as technology in the learning process were inversely correlated with their usage of learning media was helping them in attaining new media of teaching was the Evoce robot. It recommended that robots might give an alternative interesting media in class, especially for teaching vocabulary.

Keywords


innovation, English classroom, perception, media, robot

Full Text:

Download PDF

References


Aidinlou, N. A., Alemi, M., Farjami, F., & Makhdoumi, M. (2014). Applications of robot-assisted language learning (RALL) in language learning and teaching. Teaching and Learning (Models and Beliefs), 2(1), 12-20, 2014.

Angeli, C., & Valanides, N. (2020). Developing young children’s computational thinking with educational robotics: An interaction effect between gender and scaffolding strategy. Computers in Human Behaviour, 105, 105954, 2020.

https://doi.org/10.1016/j.chb.2019.03.018.

Albashtawi, A. & Al Bataineh, K. (2020). The Effectiveness of Google Classroom among EFL Students in Jordan: An Innovative Teaching and Learning Online Platform. Int. J. Emerg. Technol. Learn. 2020, 15, 78-88, 2020.

Chalmers, C., Keane, T., Boden, M., & Williams, M. (2022). Humanoid robots go to school. Education and Information Technologies, 1-19, 2022.

Dilmurod, R., & Elmira, N. (2020). The use of multimedia technologies in the educational system and teaching methodology: Problems and prospects. International Journal of Discourse on Innovation, Integration and Education, 01(02), 28-32, 2020.

Engwall, O., & Lopes, J. (2022). Interaction and collaboration in robot-assisted language learning for adults. Computer Assisted Language Learning, 35(5–6), 1273-1309, 2022.

Herberg, J. S., Feller, S., Yengin, I., & Saerbeck, M. (2015). Robot watchfulness hinders learning performance. In 2015 24th IEEE international symposium on Robot and human interactive communication (RO-MAN) (pp. 153-160), IEEE, 2015.

Hong, Z.-W., Huang, Y.-M., Hsu, M., & Shen, W. (2016). Authoring robot-assisted instructional materials for improving learning performance and motivation in EFL classrooms. Journal of Educational Technology & Society, 19(1), 337-349, 2016.

Huang, G., & Moore, R. K. (2022). Is honesty the best policy for mismatched partners? Aligning multi-modal affordances of a social robot: An opinion paper. Frontiers in Virtual Reality, 3, 1020169, 2022.

Huang, G., & Moore, R. K. (2023). Using social robots for language learning:are we there yet?. J. China Comput. Assist. Lang. Learn., 3(1): 208-230, 2023.

Kakati, G. & Barua, T. D.. (2021). Multimedia Learning Materials as Pedagogical Supplements in ODL: A Comparative Study. ASEAN Journal of Open and Distance Learning. 13 (1), 2021.

Kennedy, J., Baxter, P., Senft, E., & Belpaeme, T. (2016). Social robot tutoring for child second language learning. In 2016 11th ACM/IEEE international conference on human-robot interaction (HRI) (pp. 231–238). IEEE, 2016.

Khodabandelou, R., & Alhoqani, K. (2022). The effects of the We Do 2.0 robot workshop on Omani grade 5 students’ acquisition of the computational thinking concepts and acceptance of the robot technology. Education, 3(3), 1-17, 2022. https://doi.org/10.1080/03004279.2022.2041685.

Kubilinskiene, S., Zilinskiene, I., Dagiene, V., & Sinkevièius, V. (2017). Applying robotics in school education: A systematic review. Baltic Journal of Modern Computing, 5(1), 50-69, 2017. doi: http://dx.doi.org/10.22364/bjmc.2017.5.1.04Lee, H., & Lee, J. H. (2022). The effects of robot-assisted language learning: A meta-analysis. Educational Research Review, 35, 100425, 2022.

Kuts, M. O., & Lavrentieva, Olena. O. (2022). Ergonomic aspects of computer-oriented pedagogical technologies implementation in teaching foreign languages to students of higher education institutions. Educational Technology Quarterly.1(1),2022. doi:10.55056/etq.9.

McAllister, Deborah. & Glidden, Jared L. (2022). Learning Robotics Concepts with Lego Spike Essential: Data Collection 2021 with Pre-service Teachers". Research Dialogues Conference proceedings. https://scholar.utc.edu/research dialogues/2022/proceedings/13. https://doi.org/10.47646/cmd.2020.180.

Nomoto, M., Lustig, A., Cossovich, R., & Hargis, J. (2022). Qilin, a robot-assisted Chinese language learning bilingual chatbot. In Proceedings of the 4th international conference on modern educational technology (pp. 13-19), 2022.

O’Brien, B. (2020). How to choose the right type of robot for your classroom. Meet Edison, 2020. https://meetedison.com/how-to-choose-the-right-robot-for-your-classroom/.

Ölmez, R., & Ulutaş, N.K.(2023). A Diachronic View into an Understanding of Technology Acceptance: Where to Go through TAM for Teacher Education from Global to Local?. Indonesian Journal of English Language Teaching and Applied Linguistics (IJELTAL), 7(2), 359-377, 2023.

Pandey, A. K., & Gelin, R. (2017). Humanoid robots in education: a short review. Humanoid robotics: a reference, 1-16, 2016.

Ramiah, K. & Pitchipoo, P. (2020). Evolution of Smart Pedagogies with Digital Gadgets. International Education and Research Journal (IERJ), 6(3), 2020. http://ierj.in/journal/index.php/ierj/article/view/1988.

Toma, F., Ardelean, A., Grădinaru, C., Nedelea, A., & Diaconu, D. C. (2023). Effects of ICT Integration in Teaching Using Learning Activities. Sustainability, 15(8), Article 8. https://doi.org/10.3390/su15086885

Tweedale, J. W. (2022). Using Lego EV3 to explore robotic concepts in a laboratory. International Journal of Advanced Intelligence Paradigms, 21(3-4), 330-347, 2022. https://doi.org/10.1504/ijaip.2022.10046237.

Usengül, L., & Bahçeci, F. (2020). The effect of Lego WeDo 2.0 education on academic achievement and attitudes and computational thinking skills of learners toward science. World Journal of Education, 10(4), 83-93, 2020.https://doi.org/10.5430/wje.v10n4p83.

Van den Berghe, R., Verhagen, J., Oudgenoeg-Paz, O., Van der Ven, S., & Leseman, P. (2019). Social robots for language learning: A review. Review of Educational Research, 89(2), 259-295, 2019.

Vogt, P., van den Berghe, R., De Haas, M., Hoffman, L., Kanero, J., Mamus, E., Montanier, J.-M., Oranç, C., Oudgenoeg-Paz, O., García, D. H., Papadopoulos, F., Schodde, T., Verhagen, J., Wallbridge, C. D., Willemsen, B., de Wit, J., Belpaeme, T., Göksun, T., Kopp, S., Pandey, A. K. (2019). Second language tutoring using social robots: A large-scale study. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 497-505). IEEE, 2019.

Wu, W.C.V.; Wang, R.J.; Chen, N.S. (2015) Instructional design using an in-house built teaching assistant robot to enhance elementary school English-as-a-foreign-language learning. Interact. Learn. Environ., 23, 696-714, 2015.

Yang, W., Ng, D. T. K., & Gao, H. (2022). Robot programming versus block play in early childhood education: Effects on computational thinking, sequencing ability, and self‐regulation. British Journal of Educational Technology, 53(6),1817-1841, 2022. https://doi.org/10.1111/bjet.13215.

Yulianto, A. (2019). Penyusunan Skala Guttman untuk Pengukuran Psikologi. Universitas Pembangunan Jaya.

Zamfirescu-Pereira, J. D., Sirkin, D., Goedicke, D., LC, R., Friedman, N., Mandel, I., Martelaro, N., & Ju, W. (2021). Fake It to Make It: Exploratory Prototyping in HRI. Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 19–28. https://doi.org/10.1145/3434074.3446909




DOI: http://dx.doi.org/10.21093/ijeltal.v8i2.1583

Refbacks

  • There are currently no refbacks.



Creative Commons License
IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics) by http://ijeltal.org is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


 

Abstracting and Indexing

                       

 




Contact Us: IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics;

Address: Faculty of Teacher Training and Education, Universitas Islam Negeri Sultan Aji Muhammad Idris Samarinda

Jl. H.A.M. Rifadin, Samarinda, Kalimantan Timur, Indonesia. Email: ijeltalj@gmail.com