Preferensi Media dan Strategi Belajar Mahasiswa PPKn pada Pembelajaran Digital

Nor Aini; Zainul Akhyar

doi:10.51574/jrip.v6i2.5332

Authors

Nor Aini Jurusan Pendidikan Pancasila dan Kewarganegaraan, FKIP Universitas Lambung Mangkurat, Banjarmasin, Indonesia
Zainul Akhyar Jurusan Pendidikan Pancasila dan Kewarganegaraan, FKIP Universitas Lambung Mangkurat, Banjarmasin, Indonesia

Keywords:

Preferensi Media, Strategi Belajar, Regulasi Diri, Literasi Digital, Mahasiswa PPKn

Abstract

Transformasi digital di pendidikan tinggi memperluas pilihan media belajar, tetapi kemudahan akses belum selalu diikuti strategi belajar yang terarah dan evaluasi sumber yang memadai. Penelitian ini bertujuan mendeskripsikan perubahan preferensi media dan strategi belajar mahasiswa Pendidikan Pancasila dan Kewarganegaraan (PPKn), serta mengidentifikasi faktor yang memengaruhinya. Penelitian menggunakan pendekatan kualitatif dengan desain fenomenologis di FKIP Universitas Lambung Mangkurat. Informan terdiri atas delapan mahasiswa PPKn angkatan 2024 dan 2025 serta dua dosen yang dipilih secara purposif. Data dikumpulkan melalui wawancara semi-terstruktur, observasi, dan dokumentasi, kemudian dianalisis melalui reduksi data, penyajian tematik, dan penarikan kesimpulan. Keabsahan temuan diperkuat dengan triangulasi sumber dan teknik serta konfirmasi interpretasi kepada informan. Hasil penelitian menunjukkan pergeseran preferensi dari buku cetak dan penjelasan dosen sebagai sumber dominan menuju kombinasi telepon pintar, mesin pencari, jurnal elektronik, video pembelajaran, media sosial edukatif, dan platform daring. Pergeseran tersebut diikuti strategi pencarian mandiri, penggunaan representasi visual, pemilihan sumber sesuai kebutuhan tugas, serta konfirmasi lintas sumber; namun, pendalaman materi dan pengelolaan waktu belum konsisten. Faktor internal meliputi motivasi, literasi digital, kemandirian, dan manajemen waktu, sedangkan faktor eksternal mencakup akses teknologi, lingkungan belajar, dan desain pembelajaran dosen. Temuan mengimplikasikan perlunya pembelajaran PPKn yang memadukan sumber multimodal dengan panduan evaluasi kredibilitas, aktivitas reflektif, dan dukungan regulasi diri agar preferensi media berkembang menjadi strategi belajar yang bertanggung jawab.

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References

Anthonysamy, L., Koo, A. C., & Hew, S. H. (2020). Self-regulated learning strategies in higher education: Fostering digital literacy for sustainable lifelong learning. Education and Information Technologies, 25(4), 2393–2414. https://doi.org/10.1007/s10639-020-10201-8

Arjaya, I. B. A., Hermawan, I. M. S., Ekayanti, N. W., & Paraniti, A. A. I. (2023). Metacognitive Contribution to Biology Pre-service Teacher's Digital Literacy and Self-Regulated Learning during Online Learning. International Journal of Instruction, 16(1), 455–468. https://doi.org/10.29333/iji.2023.16125a

Blau, I., Shamir-Inbal, T., & Avdiel, O. (2020). How does the pedagogical design of a technology-enhanced collaborative academic course promote digital literacies, self-regulation, and perceived learning of students?. Internet and Higher Education, 45, Article 100722. https://doi.org/10.1016/j.iheduc.2019.100722

Broadbent, J. (2017). Comparing online and blended learner's self-regulated learning strategies and academic performance. Internet and Higher Education, 33, 24–32. https://doi.org/10.1016/j.iheduc.2017.01.004

Chen, L. H. (2023). Moving Forward: International Students’ Perspectives of Online Learning Experience During the Pandemic. International Journal of Educational Research Open, 5, Article 100276. https://doi.org/10.1016/j.ijedro.2023.100276

Cristea, T. S., Heikkinen, S., Snijders, C., Saqr, M., Matzat, U., Conijn, R., & Kleingeld, A. (2025). Dynamics of self-regulated learning: The effectiveness of students’ strategies across course periods. Computers and Education, 228, Article 105233. https://doi.org/10.1016/j.compedu.2025.105233

Daumiller, M., & Dresel, M. (2019). Supporting Self-Regulated Learning With Digital Media Using Motivational Regulation and Metacognitive Prompts. Journal of Experimental Education, 87(1), 161–176. https://doi.org/10.1080/00220973.2018.1448744

Davidoff, Y., & Jayusi, W. (2025). Effective online teaching and learning strategies: interdisciplinary research of student perceptions in higher education. Education and Information Technologies, 30(3), 3717–3742. https://doi.org/10.1007/s10639-024-12958-8

Fischer, S., Fisch, K., Hobelsberger, C., & Jung, S. (2026). Students' preferences for online learning formats – Results of a latent class analysis. Internet and Higher Education, 68, Article 101053. https://doi.org/10.1016/j.iheduc.2025.101053

Guerra-Macías, Y., & Tobón, S. (2025). Development of transversal skills in higher education programs in conjunction with online learning: relationship between learning strategies, project-based pedagogical practices, e-learning platforms, and academic performance. Heliyon, 11(2), Article e41099. https://doi.org/10.1016/j.heliyon.2024.e41099

Han, S., Zhang, Z., Liu, H., Kong, W., Xue, Z., Cao, T., & Shu, J. (2024). From engagement to performance: the role of effort regulation in higher education online learning. Interactive Learning Environments, 32(10), 6607–6627. https://doi.org/10.1080/10494820.2023.2273486

Kaharuddin, A., Salmawati, Syam, N., Tulak, T., Asrawati, N., & Mulyati (2025a). Dasar-Dasar Metodologi Penelitian untuk Ilmu Pendidikan. CV Eureka Media Aksara. https://repository.penerbiteureka.com/publications/631916/dasar-dasar-metodologi-penelitian-untuk-ilmu-pendidikan

Kaharuddin, A., García García, J., Magfirah, I., & Yulismayanti, Y. (2025b). Validating a TPCK-S Instrument for Hologram-Based Mathematics Teaching. Indonesian Journal on Learning and Advanced Education (IJOLAE), 7(3), 525–536. https://doi.org/10.23917/ijolae.v7i3.12119

Keane, T., Linden, T., Hernandez-Martinez, P., Molnar, A., & Blicblau, A. (2023). Digital technologies: students’ expectations and experiences during their transition from high school to university. Education and Information Technologies, 28(1), 857–877. https://doi.org/10.1007/s10639-022-11184-4

Kic-Drgas, J., & Kılıçkaya, F. (2024). Exploring novel approaches to digital self-regulated learning: a study on the use of mobile applications among Polish and Turkish EFL pre-service teachers: Exploring novel approaches to digital self-regulated learning: J. Kic-Drgas and F. Kılıçkaya. Educational Technology Research and Development, 72(6), 3453–3470. https://doi.org/10.1007/s11423-024-10374-w

Kim, K. T. (2019). The structural relationship among digital literacy, learning strategies, and core competencies among south korean college students. Educational Sciences: Theory and Practice, 19(2), 3–21. https://doi.org/10.12738/estp.2019.2.001

Kohnke, L., Zou, D., & Zhang, R. (2021). Pre-service teachers’ perceptions of emotions and self-regulatory learning in emergency remote learning. Sustainability (Switzerland), 13(13), Article 7111. https://doi.org/10.3390/su13137111

Kruse, A. B., Isailov-Schöchlin, M., Giesler, M., & Ratka-Krüger, P. (2023). Which digital learning strategies do undergraduate dentistry students favor? A questionnaire survey at a German university; [Welche digitalen Lernstrategien bevorzugen Studierende der Zahnmedizin im klinischen Studienabschnitt? Eine Fragebogenerhebung an einer deutschen Universität]. GMS Journal for Medical Education, 40(4), Article Doc49. https://doi.org/10.3205/zma001631

Li, G., Luo, H., Lei, J., Xu, S., & Chen, T. (2022). Effects of First-Time Experiences and Self-Regulation on College Students’ Online Learning Motivation: Based on a National Survey during COVID-19. Education Sciences, 12(4), Article 245. https://doi.org/10.3390/educsci12040245

Lobos, K., Cobo-Rendón, R., Bruna Jofré, D., & Santana, J. (2024). New challenges for higher education: self-regulated learning in blended learning contexts. Frontiers in Education, 9, Article 1457367. https://doi.org/10.3389/feduc.2024.1457367

Mahmud, Y. S., & German, E. (2021). Online self-regulated learning strategies amid a global pandemic: insights from indonesian university students. Malaysian Journal of Learning and Instruction, 18(2), 45–68. https://doi.org/10.32890/mjli2021.18.2.2

Mokhtar, F. A. (2018). Breaking barriers through edmodo: A qualitative approach on the perceptions of university of malaya undergraduates. Online Learning Journal, 22(1), 61–80. https://doi.org/10.24059/olj.v22i1.1026

Nikolova, N., Kirilova, B., Mihnev, P., Zafirova-Malcheva, T., & Petkova, M. (2026). From Formal to Operational: A Triangulated Analysis of Policy, Practice, and Perception Regarding Digital Competence Development in Mathematics and IT Teacher Education. Education Sciences, 16(2), Article 272. https://doi.org/10.3390/educsci16020272

Paetsch, J., & Drechsel, B. (2021). Factors Influencing Pre-service Teachers' Intention to Use Digital Learning Materials: A Study Conducted During the COVID-19 Pandemic in Germany. Frontiers in Psychology, 12, Article 733830. https://doi.org/10.3389/fpsyg.2021.733830

Pardo, A., Han, F., & Ellis, R. A. (2017). Combining University student self-regulated learning indicators and engagement with online learning events to Predict Academic Performance. IEEE Transactions on Learning Technologies, 10(1), 82–92. https://doi.org/10.1109/TLT.2016.2639508

Pham, L. D., Matthews, G. F., & Cravens, X. (2022). What Students Value Most: A Qualitative Examination of Learner Experiences in a Fully Online Degree Program. Teachers College Record, 124(2), 143–169. https://doi.org/10.1177/01614681221086460

Purwadi, Saputra, W. N. E., Wahyudi, A., Supriyanto, A., Muyana, S., Rohmadheny, P. S., Ariyanto, R. D., & Kurniawan, S. J. (2021). Student perceptions of online learning during the covid-19 pandemic in indonesia: A study of phenomenology. European Journal of Educational Research, 10(3), 1515–1528. https://doi.org/10.12973/EU-JER.10.3.1515

Santoso, H. B., Lawanto, O., Setiasih, Sugoto, S., Kesumaningsari, N. P. A., & Yunita, A. (2024). Undergraduate students’ learning experiences and strategies in online learning during the pandemic: An Indonesian perspective. Knowledge Management and E-Learning, 16(1), 110–133. https://doi.org/10.34105/j.kmel.2024.16.005

Schumacher, C., & Ifenthaler, D. (2021). Investigating prompts for supporting students' self-regulation – A remaining challenge for learning analytics approaches?. Internet and Higher Education, 49, Article 100791. https://doi.org/10.1016/j.iheduc.2020.100791

Shlomo, A., & Rosenberg-Kima, R. B. (2025). F2F, zoom, or asynchronous learning? Higher education students’ preferences and perceived benefits and pitfalls. International Journal of Science Education, 47(8), 1002–1027. https://doi.org/10.1080/09500693.2024.2355673

Sutherland, K., Brock, G., de Villiers Scheepers, M. J., Millear, P. M., Norman, S., Strohfeldt, T., Downer, T., Masters, N., & Black, A. L. (2024). Non-traditional students’ preferences for learning technologies and impacts on academic self-efficacy. Journal of Computing in Higher Education, 36(2), 298–319. https://doi.org/10.1007/s12528-023-09354-5

Tangkearung, S. S., Tulak, T., Kaharuddin, A., & SMBM, A. (2026). Exploring Low Reading Interest and Digital Literacy among Indonesian Pre-service Teachers: A Single-Case Study at a Private University in South Sulawesi. Information Technology Education Journal, 5(2), 15–32. https://doi.org/10.59562/intec.v5i2.262

Wandler, J. B., & Imbriale, W. J. (2017). Promoting undergraduate student self-regulation in online learning environments. Online Learning Journal, 21(2). https://doi.org/10.24059/olj.v21i2.881

Wang, X., Hui, L., Jiang, X., & Chen, Y. (2022). Online English Learning Engagement among Digital Natives: The Mediating Role of Self-Regulation. Sustainability (Switzerland), 14(23), Article 15661. https://doi.org/10.3390/su142315661

Xu, X., Zhao, W., Li, Y., Qiao, L., Tao, J., & Liu, F. (2025). The impact of visualizations with learning paths on college students’ online self-regulated learning. Education and Information Technologies, 30(3), 2917–2940. https://doi.org/10.1007/s10639-024-12933-3

Yavuzalp, N., & Bahcivan, E. (2021). A structural equation modeling analysis of relationships among university students’ readiness for e-learning, self-regulation skills, satisfaction, and academic achievement. Research and Practice in Technology Enhanced Learning, 16(1), Article 15. https://doi.org/10.1186/s41039-021-00162-y

Yeung, M. W. L., & Yau, A. H. Y. (2022). A thematic analysis of higher education students’ perceptions of online learning in Hong Kong under COVID-19: Challenges, strategies and support. Education and Information Technologies, 27(1), 181–208. https://doi.org/10.1007/s10639-021-10656-3

Yot-Domínguez, C., & Marcelo, C. (2017). University students’ self-regulated learning using digital technologies. International Journal of Educational Technology in Higher Education, 14(1), Article 38. https://doi.org/10.1186/s41239-017-0076-8

Zheng, C., Liang, J. C., Yang, Y. F., & Tsai, C. C. (2016). The relationship between Chinese university students' conceptions of language learning and their online self-regulation. System, 57, 66–78. https://doi.org/10.1016/j.system.2016.01.005

Zheng, Y., & Xiao, A. (2023). A structural equation model of online learning: investigating self-efficacy, informal digital learning, self-regulated learning, and course satisfaction. Frontiers in Psychology, 14, Article 1276266. https://doi.org/10.3389/fpsyg.2023.1276266