Mobile application to improve the learning of secondary school students
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Abstract
In recent years, there has been a low percentage of learning in all educational centres. This research aims to design a mobile application to improve learning and technical and soft skills in educational institutions in Peru. This way, it can be replicated in another country with a similar reality. Also, we used the Design Thinking methodology, which promotes innovation in each of its processes. Thanks to this, we focus not only on the application's development and deployment but also on users' experiences and feelings. During the methodology development process, the survey was used for data collection and analysis and the impact of the mobile application's development on education, having a population of 40 students, obtaining. As a result, a good acceptance of the mobile application, especially in public education.
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References
- Al-Samarraie, Hosam, & Noria Saeed. (2018). A Systematic Review of Cloud Computing Tools for Collaborative Learning: Opportunities and Challenges to the Blended-Learning Environment. Computers & Education, 124, 77-91. https://doi.org/10.1016/j.compedu.2018.05.016
- Altman, M., Huang, T. T., & Breland, J. Y. (2018). Peer reviewed: Design thinking in health care. Preventing chronic disease, 15. https://doi.org/10.5888/pcd15.180128
- Bano, M., Zowghi, D., Kearney, M., Schuck, S., & Aubusson, P. (2018). Mobile learning for science and mathematics school education: A systematic review of empirical evidence. Computers & Education, 121, 30-58. https://doi.org/10.1016/j.compedu.2018.02.006
- Saldaña Bartra, J. P., Huayllani Puja, J. F., Giraldo Retuerto, M., & Andrade-Arenas, L. (2022). Prototype of Mobile Application Oriented to the Educational Help for Blind People in Peru. International Journal of Interactive Mobile Technologies, 16(17), 130-147. https://doi.org/10.3991/ijim.v16i17.32075
- Bojović, Ž., Bojović, P. D., Vujošević, D., & Šuh, J. (2020). Education in times of crisis: Rapid transition to distance learning. Computer Applications in Engineering Education, 28(6), 1467-1489. https://doi.org/10.1002/cae.22318
- Camposano, J. C. (2018). Reconciling the Academic and Enterprise Perspectives of Design Thinking. In International Symposium on Business Modeling and Software Design (pp. 18-31). Springer, Cham. https://doi.org/10.1007/978-3-319-94214-8_2
- Dahal, N., Manandhar, N. K., Luitel, L., Luitel, B. C., Pant, B. P., & Shrestha, I. M. (2022). ICT tools for remote teaching and learning mathematics: A proposal for autonomy and engagements. Advances in Mobile Learning Educational Research, 2(1), 289-296. https://doi.org/10.25082/AMLER.2022.01.013
- Dove, G., Halskov, K., Forlizzi, J., & Zimmerman, J. (2017). UX design innovation: Challenges for working with machine learning as a design material. In Proceedings of the 2017 chi conference on human factors in computing systems (pp. 278-288). https://doi.org/10.1145/3025453.3025739
- Drolia, M., Sifaki, E., Papadakis, S., & Kalogiannakis, M. (2020). An overview of mobile learning for refugee students: juxtaposing refugee needs with mobile applications' characteristics. Challenges, 11(2), 31. https://doi.org/10.3390/challe11020031
- Foti, P. E. (2021). Exploring kindergarten teachers' views on STEAM education and educational robotics: Dilemmas, possibilities, limitations. Advances in Mobile Learning Educational Research, 1(2), 82-95. https://doi.org/10.25082/AMLER.2021.02.004
- Gangaiamaran, R., & Pasupathi, M. (2017). Review on use of mobile apps for language learning. International Journal of Applied Engineering Research, 12(21), 11242-11251.
- Henriksen, D., Richardson, C., & Mehta, R. (2017). Design thinking: A creative approach to educational problems of practice. Thinking skills and Creativity, 26, 140-153. https://doi.org/10.1016/j.tsc.2017.10.001
- Hidayatulloh, I., Pambudi, S., Surjono, H. D., & Sukardiyono, T. (2021). Gamification on chatbot-based learning media: a review and challenges. Elinvo (Electronics, Informatics, and Vocational Education), 6(1), 71-80. https://doi.org/10.21831/elinvo.v6i1.43705
- Hussein, A., Gaber, M. M., Elyan, E., & Jayne, C. (2017). Imitation learning: A survey of learning methods. ACM Computing Surveys (CSUR), 50(2), 1-35. https://doi.org/10.1145/3054912
- Green, K. C., & Gilbert, S. W. (1995). Great expectations: Content, communications, productivity, and the role of information technology in higher education. Change: The magazine of higher learning, 27(2), 8-18. https://doi.org/10.1080/00091383.1995.9937733
- Kalogiannakis, M., & Papadakis, S. (2017a). A proposal for teaching ScratchJr programming environment in preservice kindergarten teachers. In Proceedings of the 12th Conference of the European Science Education Research Association (ESERA) (pp. 21-25).
- Kalogiannakis, M., & Papadakis, S. (2020). The use of developmentally mobile applications for preparing pre-service teachers to promote STEM activities in preschool classrooms. In Mobile Learning Applications in Early Childhood Education (pp. 82-100). IGI Global. https://doi.org/10.4018/978-1-7998-1486-3.ch005
- Papadakis, S., & Kalogiannakis, M. (2017). Mobile educational applications for children: what educators and parents need to know. International Journal of Mobile Learning and Organisation, 11(3), 256-277. https://doi.org/10.1504/IJMLO.2017.10003925
- Karakose, T., Ozdemir, T. Y., Papadakis, S., Yirci, R., Ozkayran, S. E., & Polat, H. (2022). Investigating the relationships between COVID-19 quality of life, loneliness, happiness, and internet addiction among K-12 teachers and school administrators-a structural equation modeling approach. International Journal of Environmental Research and Public Health, 19(3), 1052. https://doi.org/10.3390/ijerph19031052
- Karakose, T., Yirci, R., & Papadakis, S. (2022). Examining the associations between COVID-19-related psychological distress, social media addiction, COVID-19-related burnout, and depression among school principals and teachers through Structural Equation Modeling. International journal of environmental research and public health, 19(4), 1951. https://doi.org/10.3390/ijerph19041951
- Karim, R. A., Adnan, A. H. M., Tahir, M. H. M., Adam, M. H. M., Idris, N., & Ismail, I. (2020). The application of mobile learning technologies at Malaysian universities through Mind Mapping. Advances in Science Technology and Engineering Systems, 5(3), 510-517. https://doi.org/10.25046/aj050363
- Kastriti, E., Kalogiannakis, M., Psycharis, S., & Vavougios, D. (2022). The teaching of Natural Sciences in kindergarten based on the principles of STEM and STEAM approach. Advances in Mobile Learning Educational Research, 2(1), 268-277. https://doi.org/10.25082/AMLER.2022.01.011
- Katsaris, I., & Vidakis, N. (2021). Adaptive e-learning systems through learning styles: A review of the literature. Advances in Mobile Learning Educational Research, 1(2), 124-145. https://doi.org/10.25082/AMLER.2021.02.007
- Khan, T., Johnston, K., & Ophoff, J. (2019). The impact of an augmented reality application on learning motivation of students. Advances in Human-Computer Interaction, 2019. https://doi.org/10.1155/2019/7208494
- Kocakoyun, S., & Bicen, H. (2017). Development and Evaluation of Educational Android Application. Cypriot Journal of Educational Sciences, 12(2), 58-68. https://doi.org/10.18844/cjes.v12i2.1938
- Maharjan, M., Dahal, N., & Pant, B. P. (2022). ICTs into mathematical instructions for meaningful teaching and learning. Advances in Mobile Learning Educational Research, 2(2), 341-350. https://doi.org/10.25082/AMLER.2022.02.004
- Micheli, P., Sarah, J. S., Wilner, S. h. b., Mura, m., & Michael, B. B. (2019). Doing Design Thinking: Conceptual Review, Synthesis, and Research Agenda. Journal of Product Innovation Management, 36(2), 124-148. https://doi.org/10.1111/jpim.12466
- Mohammed, D. Y. (2022). The web-based behavior of online learning: An evaluation of different countries during the COVID-19 pandemic. Advances in Mobile Learning Educational Research, 2(1), 263-267. https://doi.org/10.25082/AMLER.2022.01.010
- Mota, J. M., Ruiz-Rube, I., Dodero, J. M., & Arnedillo-Sánchez, I. (2018). Augmented reality mobile app development for all. Computers & Electrical Engineering, 65, 250-260. https://doi.org/10.1016/j.compeleceng.2017.08.025
- Mozombite-Jayo, N., Manrique-Jaime, F., Castillo-Lozada, S., Romero-Andrade, C., Giraldo-Retuerto, M., Delgado, A., & Andrade-Arenas, L. (2022). Systemic Analysis of the Use of Technological Tools in the University Learning Process. International Journal of Engineering Pedagogy, 12(4). https://doi.org/10.3991/ijep.v12i4.30833
- Papadakis, S. (2021). The impact of coding apps to support young children in computational thinking and computational fluency. A literature review. In Frontiers in Education (p. 183). Frontiers. https://doi.org/10.3389/feduc.2021.657895
- Papadakis, S. (2022). Apps to Promote Computational Thinking and Coding Skills to Young Age Children: A Pedagogical Challenge for the 21st Century Learners. Educational Process: International Journal (EDUPIJ), 11(1), 7-13. https://doi.org/10.22521/edupij.2022.111.1
- Papadakis, S., Vaiopoulou, J., Sifaki, E., Stamovlasis, D., Kalogiannakis, M., & Vassilakis, K. (2021). Factors That Hinder in-Service Teachers from Incorporating Educational Robotics into Their Daily or Future Teaching Practice. In CSEDU (2) (pp. 55-63). https://doi.org/10.5220/0010413900550063
- Papadakis, S. (2021). Advances in Mobile Learning Educational Research (AMLER): Mobile learning as an educational reform. Advances in Mobile learning educational research, 1(1), 1-4. https://doi.org/10.25082/AMLER.2021.01.001
- Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142-158. https://doi.org/10.1016/j.edurev.2017.09.003
- Silva, A. C., Calderon, A. R., Retuerto, M. G., & Andrade-Arenas, L. (2022). Application of Augmented Reality in Teaching and Learning in Engineering Programs. International Journal of Interactive Mobile Technologies (IJIM), 16(15), 112-124. https://doi.org/10.3991/ijim.v16i15.31695
- Vaiopoulou, J., Papadakis, S., Sifaki, E., Stamovlasis, D., & Kalogiannakis, M. (2021). Parents' perceptions of educational apps use for kindergarten children: development and validation of a new instrument (PEAU-p) and exploration of parents' profiles. Behavioral Sciences, 11(6), 82. https://doi.org/10.3390/bs11060082
- Verawati, A., Agustito, D., Pusporini, W., Utami, W., & Widodo, S. (2022). Designing Android learning media to improve problem-solving skills of ratio. Advances in Mobile Learning Educational Research, 2(1), 216-224. https://doi.org/10.25082/AMLER.2022.01.005
- Verdes, A., Navarro, C., & Álvarez-Campos, P. (2021). Mobile learning applications to improve invertebrate zoology online teaching. Invertebrate Biology, 140(1), e12321. https://doi.org/10.1111/ivb.12321
- Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2018). The current landscape of learning analytics in higher education. Computers in human behavior, 89, 98-110. https://doi.org/10.1016/j.chb.2018.07.027
- Wrigley, C., & Straker, K. 2015. Design Thinking Pedagogy: The Educational Design Ladder. Innovations in Education and Teaching International, 54(4), 374-385. https://doi.org/10.1080/14703297.2015.1108214
- Xezonaki, A. (2022). Gamification in preschool science education. Advances in Mobile Learning Educational Research, 2(2), 308-320. https://doi.org/10.25082/AMLER.2022.02.001