Abstract
Background. In the process of learning fiqh at MDA Ar-Rahmah, a variety of learning methods are needed and in accordance with the subject matter to be taught by the teacher.
Purpose. One of the learning methods is using the demonstration method.
Method. Various methods or techniques of presenting subject matter can be utilized by teachers in teaching and learning activities.
Results. In this study, researchers used the Classroom Action Research method (action research). So that this research procedure is adjusted to the Classroom Action Research (PTK) procedure which is carried out in a cyclic process, where each cycle consists of three meetings with four phases, including: (1) planning, (2) action implementation, (3) observation, and (4) reflection.
Conclusion. Based on the results of the study that children's abilities after using the demonstration method at MDA Ar-Rahmah have increased which can be seen in each Cycle I and II, where in cycle I there were 7 children categorized as not yet developing (46%), 8 children categorized as starting to develop (53%) and in cycle II there were 15 children categorized as starting to develop (100%) and cycle III there were 10 children starting to develop (67%) and 5 children categorized as developing as expected (33%).
Full text article
References
Abbas, J., Aman, J., Nurunnabi, M., & Bano, S. (2019). The Impact of Social Media on Learning Behavior for Sustainable Education: Evidence of Students from Selected Universities in Pakistan. Sustainability, 11(6), 1683.https://doi.org/10.3390/su11061683
Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y. (2019). Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly, 36(2), 358–367.https://doi.org/10.1016/j.giq.2018.10.001
Araujo, T. (2018). Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agents and company perceptions. Computers in Human Behavior, 85, 183–189.https://doi.org/10.1016/j.chb.2018.03.051
Ashfaq, M., Yun, J., Yu, S., & Loureiro, SMC (2020). I, Chatbot: Modeling the determinants of users' satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54, 101473.https://doi.org/10.1016/j.tele.2020.101473
Burley, SK, Berman, HM, Bhikadiya, C., Bi, C., Chen, L., Di Costanzo, L., Christie, C., Dalenberg, K., Duarte, JM, Dutta, S., Feng, Z., Ghosh, S., Goodsell, DS, Green, RK, Guranovi?, V., Guzenko, D., Hudson, BP, Kalro, T., Liang, Y., … Zardecki, C. (2019). RCSB Protein Data Bank: Biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy. Nucleic Acids Research, 47(D1), D464–D474.https://doi.org/10.1093/nar/gky1004
Chattaraman, V., Kwon, W.-S., Gilbert, JE, & Ross, K. (2019). Should AI-Based, conversational digital assistants employ social- or task-oriented interaction style? A task-competency and reciprocity perspective for older adults. Computers in Human Behavior, 90, 315–330.https://doi.org/10.1016/j.chb.2018.08.048
Ciechanowski, L., Przegalinska, A., Magnuski, M., & Gloor, P. (2019). In the shades of the uncanny valley: An experimental study of human–chatbot interaction. Future Generation Computer Systems, 92, 539–548.https://doi.org/10.1016/j.future.2018.01.055
Duke, NK, Ward, AE, & Pearson, PD (2021). The Science of Reading Comprehension Instruction. The Reading Teacher, 74(6), 663–672.https://doi.org/10.1002/trtr.1993
Authors
Copyright (c) 2023 Ghina Agniya Suhulah, Imam Tabroni, Deng Jiao , Xie Guilin

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.