Can YouTube-based instructional videos improve statistical reasoning skills?

Aeng Muhidin; Shinta Doriza

doi:10.64014/jik.v22i3.70

Can YouTube-based instructional videos improve statistical reasoning skills?

Aeng Muhidin ^{Universitas Pamulang,} , Shinta Doriza ^{Universitas Negeri Jakarta,} ,

29 August 2025 · Vol. 22 No. 3 (2025): Inovasi Kurikulum, August 2025 · Articles

DOI https://doi.org/10.64014/jik.v22i3.70

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Abstract

This study investigates the potential of YouTube-based instructional videos to improve students’ statistical reasoning skills in the context of learning Educational Statistics. Statistical reasoning is a fundamental competency in this subject; however, many students face difficulties in grasping and applying statistical concepts due to instruction that is often abstract and overly theoretical. To address this issue, the study was conducted to assess whether integrating YouTube as a learning medium could provide more concrete and accessible explanations, thereby enhancing students’ understanding. The study employed a quasi-experimental one-group pretest-posttest design. Data were collected from undergraduate students enrolled in an Educational Statistics course using two instruments: a procedural knowledge test and a perception questionnaire. The results revealed a statistically significant improvement in students’ statistical reasoning skills after participating in the YouTube-based learning intervention. Additionally, students expressed positive perceptions toward the use of YouTube videos in learning statistics. The highest average ratings were reported in learning effectiveness (M = 98), followed by learning motivation (M = 96), content clarity (M = 92), and ease of access (M = 87). These findings suggest that YouTube can serve as an effective digital learning tool to support conceptual understanding in technical subjects, highlighting the importance of integrating digital media in higher education pedagogy.

Abstrak

Penelitian ini mengkaji potensi penggunaan video pembelajaran berbasis YouTube dalam meningkatkan keterampilan penalaran statistik mahasiswa pada mata kuliah Statistika Pendidikan. Penalaran statistik merupakan kompetensi mendasar yang menuntut mahasiswa memahami dan menginterpretasikan data. Namun, banyak mahasiswa mengalami kesulitan akibat penyampaian materi yang cenderung abstrak dan teoretis. Oleh karena itu, dibutuhkan inovasi pembelajaran yang lebih konkret dan mudah diakses. Penelitian ini menggunakan desain kuasi-eksperimen dengan pendekatan one-group pretest-posttest. Partisipan terdiri dari mahasiswa program sarjana yang mengikuti mata kuliah Statistika Pendidikan. Data dikumpulkan melalui dua instrumen, yaitu tes pengetahuan prosedural dan kuesioner persepsi mahasiswa terhadap media pembelajaran. Hasil penelitian menunjukkan peningkatan yang signifikan secara statistik dalam keterampilan penalaran statistik setelah pembelajaran berbasis YouTube. Selain itu, respons mahasiswa terhadap penggunaan YouTube sangat positif. Nilai rata-rata tertinggi diperoleh pada kategori efektivitas pembelajaran (M = 98), diikuti motivasi belajar (M = 96), kejelasan konten (M = 92), dan kemudahan akses (M = 87). Temuan ini mengindikasikan bahwa YouTube merupakan media pembelajaran digital yang efektif dalam mendukung pemahaman konseptual mahasiswa, terutama pada mata kuliah yang bersifat teknis. Oleh karena itu, integrasi media digital seperti YouTube perlu dipertimbangkan secara serius dalam pengembangan pedagogi pendidikan tinggi.

Kata Kunci: kepuasan belajar; penalaran statistik; video pembelajaran; statistika pendidikan

Keywords : educational statistics , instructional video , learning statisfaction , statistical reasoning

References

Alpay, E., & Gulati, S. (2010). Student-led podcasting for engineering education. European Journal of Engineering Education, 35(4), 415-427.

Athaya, A. M., Kusmiati, M., & Faturachman, M. A. (2024). The analysis of project-based learning models implementation on student motivation and learning achievement. Curricula: Journal of Curriculum Development, 3(2), 347-362.

Bolliger, D. U., Supanakorn, S., & Boggs, C. (2010). Impact of podcasting on student motivation in the online learning environment. Computers and Education, 55(2), 714-722.

Breslyn, W., & Green, A. E. (2022). Learning science with YouTube videos and the impacts of COVID-19. Disciplinary and Interdisciplinary Science Education Research, 4(1), 1-20.

Chen, O., Retnowati, E., Chan, B. B. K. Y., & Kalyuga, S. (2023). The effect of worked examples on learning solution steps and knowledge transfer. Educational Psychology, 43(8), 914-928.

Cho, T., Cho, T., Choi, H., Yang, S., & Zhang, H. (2023). User satisfaction study for sustainability of YouTube content quality: Focusing on ski technology. Businesses 2023, 3(1), 114-128.

Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97-140.

Drew, C. (2017). Edutaining audio: An exploration of education podcast design possibilities. Educational Media International, 54(1), 48-62.

Duncan, J. (2025). Construction and use of mental models: Organizing principles for the science of brain and mind. Neuropsychologia, 207(1), 1-10.

Elareshi, M., Habes, M., Youssef, E., Salloum, S. A., Alfaisal, R., & Ziani, A. (2022). SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during COVID. Heliyon, 8(4), 1-10.

Fajriah, N. D., Mulyadi, D., & Hadiapurwa, A. (2021). An effective learning model when SBTJJ is implemented in a pandemic period for junior high school students. Mimbar Pendidikan, 6(1), 24-37.

Fan, E., Bower, M., & Siemon, J. (2024). Video tutorials in the traditional classroom: The effects on different types of cognitive load. Technology, Knowledge and Learning, 29(4), 2017-2036.

Guy, J., & McNally, M. B. (2022). Ten key factors for making educational and instructional videos. Scholarly and Research Communication, 13(2), 18-30.

Hadi, W., & Faradillah, A. (2020). Hambatan mahasiswa calon guru matematika dalam menyelesaikan masalah bermuatan higher order thinking skills. Aksioma: Jurnal Program Studi Pendidikan Matematika, 9(3), 662-670.

Hill, J. L., & Nelson, A. (2011). New technology, new pedagogy? Employing video podcasts in learning and teaching about exotic ecosystems. Environmental Education Research, 17(3), 393-408

Hokor, E. K., Mensah, J. Y., & Rodríguez-Alveal, F. (2023). Novice elementary teachers’ probabilistic and statistical reasoning: Addressing misconceptions. Journal of Educational Studies in Science and Mathematics, 2(1), 43-71.

Köse, E., Taşlıbeyaz, E., & Karaman, S. (2021). Classification of instructional videos. Technology, Knowledge and Learning, 26(4), 1079-1109.

Kuhlmann, S. L., Plumley, R., Evans, Z., Bernacki, M. L., Greene, J. A., Hogan, K. A., Berro, M., Gates, K., & Panter, A. (2024). Students’ active cognitive engagement with instructional videos predicts STEM learning. Computers and Education, 216, 105-150.

Kurnia, A. B., Lowrie, T., & Patahuddin, S. M. (2024). The development of high school students’ statistical literacy across grade level. Mathematics Education Research Journal, 36(1), 7-35.

Lijo, R., Castro, J. J., & Quevedo, E. (2024). Comparing educational and dissemination videos in a STEM YouTube channel: A six-year data analysis. Heliyon, 10(3), 1-10.

Lin, Y., & Yu, Z. (2023). A meta-analysis evaluating the effectiveness of instructional video technologies. Technology, Knowledge and Learning, 29(4), 2081-2115.

Mayer, R. E. (2021). Evidence-based principles for how to design effective instructional videos. Journal of Applied Research in Memory and Cognition, 10(2), 229-240.

Mayer, R. E., Fiorella, L., & Stull, A. (2020). Five ways to increase the effectiveness of instructional video. Educational Technology Research and Development, 68(3), 837-852.

McClung, S., & Johnson, K. (2010). Examining the motives of podcast users. Journal of Radio and Audio Media, 17(1), 82-95.

Muhidin, A., Wibawa, B., Khaerudin, Doriza, S., & Rahmadi, I. F. (2023). Probing scaffolding self-regulated learning responses, resources contribution and target achievements of university students in statistics course. International Journal of Interactive Mobile Technologies (IJIM), 17(17), 82-93.

Onwuegbuzie, A. J., & Wilson, V. A. (2023). Statistics anxiety: Nature, etiology, antecedents, effects, and treatments--a comprehensive review of the literature. Teaching in Higher Education, 8(2), 195-209.

Reichardt, C. S., Storage, D., Garrido, E. F., Huff, S. T., Lloyd, E. P., Miller, P. C., & Reichmann-Decker, A. (2023). Teaching students to use statistical reasoning to debunk astrology. College Teaching, 42(1), 30-47.

Reinhart, A., Evans, C., Luby, A., Orellana, J., Meyer, M., Wieczorek, J., Elliott, P., Burckhardt, P., & Nugent, R. (2022). Think-aloud interviews: A tool for exploring student statistical reasoning. Journal of Statistics and Data Science Education, 30(2), 100-113.

Ridwan, R. S., Al-Aqsha, I., Rahmadini, G., Studi, P., & Pendidikan, T. (2021). Pemanfaatan media pembelajaran berbasis video dalam penyampaian konten pembelajaran. Inovasi Kurikulum, 18(1), 38-53.

Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61(1), 60-71.

Sabiq, M., Surya, E., Napitupulu, E. E., & Napitupulu, E. (2025). Effect of problem-based learning model on critical thinking and Math learning motivation. Inovasi Kurikulum, 22(3), 1285-1300.

Sailer, M., Murböck, J., & Fischer, F. (2021). Digital learning in schools: What does it take beyond digital technology?. Teaching and Teacher Education, 103, 103-346.

Sarker, I. H. (2021). Data science and analytics: An overview from data-driven smart computing, decision-making and applications perspective. SN Computer Science, 2(5), 1-22.

Saurabh, S., & Gautam, S. (2019). Modelling and statistical analysis of YouTube’s educational videos: A channel Owner’s perspective. Computers and Education, 128(1), 145-158.

Schittek-Janda, M., Tani-Botticelli, A., Mattheos, N., Nebel, D., Wagner, A., Nattestad, A., & Attstrom, R. (2005). Computer-mediated instructional video: A randomised controlled trial comparing a sequential and a segmented instructional video in surgical hand wash. European Journal of Dental Education, 9(2), 53-58.

Shi, Y., Wang, M., Chen, Z., Hou, G., Wang, Z., Zheng, Q., & Sun, J. (2024). The impacts of instructor’s visual attention and lecture type on students’ learning performance and perceptions. Education and Information Technologies, 29(13), 16469-16497.

Solé-Llussà, A., Aguilar, D., & Ibáñez, M. (2021). Video worked examples to promote elementary students’ science process skills: a fruit decomposition inquiry activity. Journal of Biological Education, 55(4), 368-379.

Tani, M., Manuguerra, M., & Khan, S. (2022). Can videos affect learning outcomes? Evidence from an actual learning environment. Educational Technology Research and Development, 70(5), 1675-1693.

Tanjung, A. I., Azhari, I., & Mursid, R. (2025). Development of video learning media based on history to improve social studies achievement. Inovasi Kurikulum, 22(3), 1431-1446.

Tetteh, P. K., & Kankam, P. K. (2024). The role of social media in information dissemination to improve youth interactions. Cogent Social Sciences, 10(1), 1-17.

Traphagan, T., Kucsera, J. V., & Kishi, K. (2010). Impact of class lecture webcasting on attendance and learning. Educational Technology Research and Development, 58(1), 19-37.

Wut, T. M., & Wong, H. S. M. (2025). Students’ perceived learning and satisfaction in using a statistical software by learner-generated video. Technology, Knowledge and Learning, 60(2), 1-13.