Learn independently using the Padlet application to improve writing skills
Downloads
This study aims to explore the effectiveness of using the Padlet application to improve writing skills through self-study. Self-directed learning methods are becoming increasingly important in today's educational landscape, with technology acting as a key driver. This study engages students in educational settings to apply independent learning using padlets in developing their writing skills. This research was conducted through a qualitative approach with a classroom action research design. Data collection was carried out through observation, interviews, and document analysis of the activities carried out by students in the learning environment. The results of the study show that the use of the Padlet application is effective in stimulating student learning independence and active participation in the development of writing skills. This app provides an interactive platform that facilitates collaboration, reflection, and feedback between students and other teachers. The results of this study have important implications for the design of learning strategies that encourage student independence and develop writing skills. In addition, this research also highlights the role of technology in creating innovative learning environments and supporting student academic growth. Thus, the application of the Padlet application in independent learning can be considered as the right solution to improve students' writing skills
Ahmed, A., Bhatti, S. H., Gölgeci, I., & Arslan, A. (2022). Digital platform capability and organizational agility of emerging market manufacturing SMEs: The mediating role of intellectual capital and the moderating role of environmental dynamism. Technological Forecasting and Social Change, 177, 121513. https://doi.org/10.1016/j.techfore.2022.121513
Arabameri, A., Saha, S., Roy, J., Chen, W., Blaschke, T., & Tien Bui, D. (2020). Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran. Remote Sensing, 12(3), 475. https://doi.org/10.3390/rs12030475
Arshad, A., Jabbal, M., Shi, L., & Yan, Y. (2021). Thermophysical characteristics and enhancement analysis of carbon-additives phase change mono and hybrid materials for thermal management of electronic devices. Journal of Energy Storage, 34, 102231. https://doi.org/10.1016/j.est.2020.102231
Bhatt, A., Dimri, P., & Aggarwal, A. (2020). Self?adaptive brainstorming for jobshop scheduling in multicloud environment. Software: Practice and Experience, 50(8), 1381–1398. https://doi.org/10.1002/spe.2819
Brady, A. K., & Pradhan, D. (2020). Learning without Borders: Asynchronous and Distance Learning in the Age of COVID-19 and Beyond. ATS Scholar, 1(3), 233–242. https://doi.org/10.34197/ats-scholar.2020-0046PS
Brands, C., Kruikemeier, S., & Trilling, D. (2021). Insta(nt)famous? Visual self-presentation and the use of masculine and feminine issues by female politicians on Instagram. Information, Communication & Society, 24(14), 2016–2036. https://doi.org/10.1080/1369118X.2021.1962942
Buslaev, A., Iglovikov, V. I., Khvedchenya, E., Parinov, A., Druzhinin, M., & Kalinin, A. A. (2020). Albumentations: Fast and Flexible Image Augmentations. Information, 11(2), 125. https://doi.org/10.3390/info11020125
Correani, A., De Massis, A., Frattini, F., Petruzzelli, A. M., & Natalicchio, A. (2020). Implementing a Digital Strategy: Learning from the Experience of Three Digital Transformation Projects. California Management Review, 62(4), 37–56. https://doi.org/10.1177/0008125620934864
Da’u, A., Salim, N., Rabiu, I., & Osman, A. (2020). Recommendation system exploiting aspect-based opinion mining with deep learning method. Information Sciences, 512, 1279–1292. https://doi.org/10.1016/j.ins.2019.10.038
Deichmann, D., Gillier, T., & Tonellato, M. (2021). Getting on board with new ideas: An analysis of idea commitments on a crowdsourcing platform. Research Policy, 50(9), 104320. https://doi.org/10.1016/j.respol.2021.104320
Fattahi, A., Sijm, J., & Faaij, A. (2020). A systemic approach to analyze integrated energy system modeling tools: A review of national models. Renewable and Sustainable Energy Reviews, 133, 110195. https://doi.org/10.1016/j.rser.2020.110195
Hackbarth, A., & Löbbe, S. (2020). Attitudes, preferences, and intentions of German households concerning participation in peer-to-peer electricity trading. Energy Policy, 138, 111238. https://doi.org/10.1016/j.enpol.2020.111238
Haldar, A., & Sethi, N. (2022). Environmental effects of Information and Communication Technology—Exploring the roles of renewable energy, innovation, trade and financial development. Renewable and Sustainable Energy Reviews, 153, 111754. https://doi.org/10.1016/j.rser.2021.111754
Hass, A., Laverie, D. A., & Cours Anderson, K. (2021). “LET’S BE INDEPENDENT TOGETHER”: ENABLING STUDENT AUTONOMY WITH TEAM BASED LEARNING ACTIVITIES IN A FLIPPED CLASS. Marketing Education Review, 31(2), 147–153. https://doi.org/10.1080/10528008.2020.1853572
Hilt, A. D., Hierck, B. P., Eijkenduijn, J., Wesselius, F. J., Albayrak, A., Melles, M., Schalij, M. J., & Scherptong, R. W. C. (2021). Development of a patient-oriented Hololens application to illustrate the function of medication after myocardial infarction. European Heart Journal - Digital Health, 2(3), 511–520. https://doi.org/10.1093/ehjdh/ztab053
Ianevski, A., Giri, A. K., & Aittokallio, T. (2022). SynergyFinder 3.0: An interactive analysis and consensus interpretation of multi-drug synergies across multiple samples. Nucleic Acids Research, 50(W1), W739–W743. https://doi.org/10.1093/nar/gkac382
Kalinauskaite, I., Brankaert, R., Lu, Y., Bekker, T., Brombacher, A., & Vos, S. (2021). Facing Societal Challenges in Living Labs: Towards a Conceptual Framework to Facilitate Transdisciplinary Collaborations. Sustainability, 13(2), 614. https://doi.org/10.3390/su13020614
Khoda Bakhshi, A., & Ahmed, M. M. (2021). Utilizing black-box visualization tools to interpret non-parametric real-time risk assessment models. Transportmetrica A: Transport Science, 17(4), 739–765. https://doi.org/10.1080/23249935.2020.1810169
Kumar, A., Sharma, S., Singh, A., Alwadain, A., Choi, B.-J., Manual-Brenosa, J., Ortega-Mansilla, A., & Goyal, N. (2021). Revolutionary Strategies Analysis and Proposed System for Future Infrastructure in Internet of Things. Sustainability, 14(1), 71. https://doi.org/10.3390/su14010071
Lantian, A., Bagneux, V., Delouvée, S., & Gauvrit, N. (2021). Maybe a free thinker but not a critical one: High conspiracy belief is associated with low critical thinking ability. Applied Cognitive Psychology, 35(3), 674–684. https://doi.org/10.1002/acp.3790
Ma, A., Wan, Y., Zhong, Y., Wang, J., & Zhang, L. (2021). SceneNet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search. ISPRS Journal of Photogrammetry and Remote Sensing, 172, 171–188. https://doi.org/10.1016/j.isprsjprs.2020.11.025
Malik, A., Kumar, A., Kim, S., Kashani, M. H., Karimi, V., Sharafati, A., Ghorbani, M. A., Al-Ansari, N., Salih, S. Q., Yaseen, Z. M., & Chau, K.-W. (2020). Modeling monthly pan evaporation process over the Indian central Himalayas: Application of multiple learning artificial intelligence model. Engineering Applications of Computational Fluid Mechanics, 14(1), 323–338. https://doi.org/10.1080/19942060.2020.1715845
Marani, A., & Nehdi, M. L. (2020). Machine learning prediction of compressive strength for phase change materials integrated cementitious composites. Construction and Building Materials, 265, 120286. https://doi.org/10.1016/j.conbuildmat.2020.120286
Oke, A., & Fernandes, F. A. P. (2020). Innovations in Teaching and Learning: Exploring the Perceptions of the Education Sector on the 4th Industrial Revolution (4IR). Journal of Open Innovation: Technology, Market, and Complexity, 6(2), 31. https://doi.org/10.3390/joitmc6020031
Saleem, A., Afzal, M. K., Ateeq, M., Kim, S. W., & Zikria, Y. B. (2020). Intelligent learning automata-based objective function in RPL for IoT. Sustainable Cities and Society, 59, 102234. https://doi.org/10.1016/j.scs.2020.102234
Thomson, A., Kennelly, M., & Toohey, K. (2020). A systematic quantitative literature review of empirical research on large-scale sport events’ social legacies. Leisure Studies, 39(6), 859–876. https://doi.org/10.1080/02614367.2020.1800804
Veeck, A., Quareshi, Z. A., O’Reilly, K., Mumuni, A. G., MacMillan, A., Luqmani, Z., Luqmani, M., & Xie, H. (2023). INTERVENTIONS TO ASSESS AND ADDRESS THE SELF-EFFICACY OF MARKETING STUDENTS TOWARD ACQUIRING ANALYTICAL SKILLS. Marketing Education Review, 33(3), 211–225. https://doi.org/10.1080/10528008.2022.2112533
Wijaya, RF, & Utomo, RB (2023). Introduction of Augmented Reality at Al-Bukhary Labuhan Batu Vocational School as a medium for promoting the tourism industry. Journal of Community Service, 4(1), 60–70. https://doi.org/10.32815/jpm.v4i1.1102
Wildan Alvin Salis & Irwan Siagian. (2023). COGNITIVE DEVELOPMENT BETWEEN LANGUAGE RELATIONSHIP AND THINKING PROCESSES IN COMMUNICATING ON SOCIAL MEDIA. Didactics: PGSD STKIP Subang Scientific Journal, 9(3), 789–795. https://doi.org/10.36989/didaktik.v9i3.1565
Copyright (c) 2024 Mariana Pakaja, Widhiya Ninsiana, Fachruzzaki Fachruzzaki, Lilik Huriah, Muh Syafei

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