PENGABDIAN MASYARAKAT UNTUK PEMBELAJARAN CODING ARTIFICIAL INTELLIGENCE KEPADA SISWA SMP KRISTEN WONOSOBO
DOI:
https://doi.org/10.29303/abdiinsani.v11i2.1536Keywords:
coding, students, AI, IoTAbstract
Artificial intelligence and the Internet of Things (AIOT) have been widely used by various activities, especially in the millennial generation. However, scientific technology has not been widely introduced in education. Additionally, schools experience a decline in student enrollment every year, so it is necessary to carry out innovative learning actions that can be introduced to the community through students. Innovation learning is demonstrated by providing coding lessons that students have never done before so that AIOT becomes part of the learning. Therefore, coding as a learning method is introduced to junior students so they can get to know AIOT early. The method used is making a device called AIOT-kit with training to be able to directly monitor environmental parameters such as temperature and humidity. The Internet of Things was introduced, which uses ThinkSpeak as a dashboard for making observations. This device was made by students so that they could follow the process from making the AIOT-kit hardware and related coding to utilization. It is shown that AIOT-kit is not yet known to students, including how to code in it. AIOT is an urgent need to access developing related technology. This activity is part of the service team's efforts to make a positive contribution to the community and school environment. After carrying out this activity, there was a change in how students could make their own AIOT-kit devices while also coding. The school even received an award from the local government for the innovation activities carried out during that period.
Downloads
References
Xue, Y., & Wang, Y. (2023). "Artificial Intelligence for Education and Teaching." Wirel. Commun. Mob. Comput., vol. 2023. doi: 10.1155/2023/9830273.
Kamruzzaman, M. M. et al., (2023). “AI- and IoT-Assisted Sustainable Education Systems during Pandemics, such as COVID-19, for Smart Cities.” Sustain, 15(10), 1–17. doi: 10.3390/su15108354.
Laurent, M. et al., (2022). “Impact of programming on primary mathematics learning.” Learn. Instr, 82(12), 1–12. doi: 10.1016/j.learninstruc.2022.101667.
Mohamed, M. Z. B. et al., (2023). “Artificial intelligence in retail – a systematic literature review.” Int. Electron. J. Math. Educ, 25(2), 264–286. doi: 10.1108/FS-10-2021-0210.
Ilomäki, L., & Lakkala, M. (2018). “Digital Ttechnology and Practices for School Improvement: Innovative Digital School Model.” Res. Pract. Technol. Enhanc. Learn, 13(1). doi: 10.1186/s41039-018-0094-8.
Darayseh, A. A. (2023). “Acceptance of artificial intelligence in teaching science: Science teachers’ perspective.” Comput. Educ. Artif. Intell, 4(1), 1–35, 2023, doi: 10.1016/j.caeai.2023.100132.
Tisza, G., & Panos, M. (2021). “Understanding the Role of Fun in Learning to Code.” Int. J. Child-Computer Interact, 28(6), 1–42. doi: https://doi.org/10.1016/j.ijcci.2021.100270 ↗.
Schnieder, M., & Williams, S. (2023). “Educational Mobile Apps for Programming in Python: Review and Analysis.” Educ. Sci, 13(1). doi: 10.3390/educsci13010066.
Guan, C., Mou, J., & Jiang, Z. (2020). “Artificial intelligence Innovation in Education: A twenty-year Data-driven Historical Analysis.” Int. J. Innov. Stud, vol. 4(4), 134–147. doi: 10.1016/j.ijis.2020.09.001.
Fernández, M. S., Renukappa, S., & Suresh, S. (2018). “What is a Smart Device? - a Conceptualisation within the Paradigm of the Internet of Things.” Vis. Eng, 6(1). doi: 10.1186/s40327-018-0063-8.
Sultana, N., & Tamanna, M. (2020). “Evaluating the Potential and Challenges of IoT in Education and Other Sectors during the COVID-19 Pandemic: The Case of Bangladesh.” Technol. Soc, vol. 68(1), 1–7. https://www.sciencedirect.com/science/article/pii/S0160791X21003328?via%3Dihub
Andrà, C., Erens, R., Hatisaru, V., & Rott, B. (2023). “MAVI 2021 Special Issue: The Growing Recognition of Affect in Mathematics Education.” Int. J. Math. Educ. Sci. Technol. doi: 10.1080/0020739X.2023.2231322.
Drijvers, P., Ball, L., Kathleen, M. H., Cao, Y., & Maschietto, M. (2017). Uses of Technology in Upper Secondary Mathematics Education, 1st ed. ICME-13 Topical Surveys. doi: 10.1007/978-3-319-42611-2_1.
Mechelen, M. V. et al., (2013). “Emerging Technologies in K-12 Education: A Future HCI Research Agenda.” ACM Trans. Comput. Interact, 30(3). doi: 10.1145/3569897.
Darko, H., Tone, L., Mitja, T., & Oto, T. (2023). “Design and Implementation of ESP32-Based IoT Devices.” Sensors, 23(15), 6739. doi: https://doi.org/10.3390/s23156739.
