Araştırma Makalesi
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Multimedia Principles Rubric: A New Instrument to Filter Instructional Science Videos Based on the Cognitive Theory of Multimedia Learning

Yıl 2025, Cilt: 19 Sayı: 1, 1 - 29, 27.06.2025
https://doi.org/10.17522/balikesirnef.1566204

Öz

Today’s learners simply resort to the Internet to research and meet their learning needs, especially videos. Most such resources are unsupervised and of poor quality. However, there is a lack of instruments in the literature to measure the instructional quality of such widely available videos. Moreover, cognitive aspects are frequently overlooked when judging such content. In this study, an instrument called multimedia principles rubric (MPR) was developed after consultation with experts and evaluated to fill this gap. MPR consists of 16 principles based on Mayer’s cognitive theory of multimedia learning (CTML) and has been fine-tuned through a literature review. Descriptive items of MPR are organized according to a 5-point Likert scale and produce an overall mean cognitive value score. MPR was tested by multiple raters on 90 sample physics videos that were selected through cluster sampling and found to have good interrater reliability. MPR can assist its users, especially teachers, in filtering videos in light of CTML rather than relying solely on statistical indicators such as video ratings or number of views. MPR is also beneficial for identifying gaps in educational content and recommending solutions for content producers to implement.

Etik Beyan

The authors have no competing interests to declare that are relevant to the content of this article.

Destekleyen Kurum

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Teşekkür

This study has been derived from the first author’s master thesis titled “Analyzing physics instructional videos on YouTube with respect to the cognitive theory of multimedia learning” submitted to the Department of Educational Technology in Bahçeşehir University.

Kaynakça

  • Alkharusi, H. (2022). A descriptive analysis and interpretation of data from likert scales in educational and psychological research. Indian Journal of Psychology and Education, 12(2), 13-16. http://www.ijpe.co.in/Articles.aspx
  • AlShaikh, R., Al-Malki, N. & Almasre, M. (2024). The implementation of the cognitive theory of multimedia learning in the design and evaluation of an AI educational video assistant utilizing large language models. Heliyon, 10(3) Article e25361. https://doi.org/10.1016/j.heliyon.2024.e25361
  • Bengfort, J. (2019, April 8). How K–12 schools can use next-generation content filtering to keep students safe. EdTech Focus on K-12. https://edtechmagazine.com/k12/article/2019/04/how-k-12-schools-can-use-next-generation-content-filtering-keep-students-safe-perfcon
  • Berk, R. A. (2009). Multimedia teaching with video clips: TV, movies, YouTube, and mtvU in the college classroom. International Journal of Technology in Teaching & Learning, 5(1), 1–21. http://sicet.org/main/wp-content/uploads/2016/11/ijttl-09-01-1_Berk.pdf
  • Brame, C. J. (2016). Effective educational videos: Principles and guidelines for maximizing student learning from video content. CBE Life Sciences Education, 15(4), es6.1–es6.6. https://doi.org/10.1187/cbe.16-03-0125
  • Creswell, J. W. (2005). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Pearson Education, Inc.
  • Fiorella, L., & Mayer, R. E. (2018). What works and doesn’t work with instructional video. Computers in Human Behavior, 89, 465–470. https://doi.org/10.1016/j.chb.2018.07.015
  • Fiorella, L. (2021). The embodiment principle in multimedia learning. In R. E. Mayer & L. Fiorella (Eds.), The Cambridge handbook of multimedia learning (pp. 286–295). Cambridge University.
  • Fraenkel J. R., Wallen, N. E., & Hyun, H. H. (2011). How to design and evaluate research in education (8th ed.). McGraw Hill Companies.
  • Frick, T. W. (2020). Education systems and technology in 1990, 2020, and beyond. TechTrends, 64, 693–703. https://doi.org/10.1007/s11528-020-00527-y
  • Guo, P. J., Kim, J., & Rubin, R. (2014). How video production affects student engagement: An empirical study of MOOC videos. L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale, 41–50. https://doi.org/10.1145/2556325.2566239
  • Kay, R. H. (2014). Developing a framework for creating effective instructional video podcasts. International Journal of Emerging Technologies in Learning, 9(1), 22–30. https://doi.org/10.3991/ijet.v9i1.3335
  • Kay, R., & Ruttenberg-Rozen, R. (2020). Exploring the creation of instructional videos to improve the quality of mathematical explanations for pre-service teachers. International Journal of E-Learning and Distance Education, 35(1), 1–21. https://www.ijede.ca/index.php/jde/article/view/1161/1805
  • Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236–247. https://doi.org/10.1016/j.chb.2016.09.024
  • Knott, R. (2020, March 10). Video length: How long should instructional videos be? (New Data). TechSmith. https://www.techsmith.com/blog/video-length/
  • Koo, T. K., & Li, M. Y. (2016). A Guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.jcm.2016.02.012
  • Kuzu, A., Akbulut, Y., & Şahin, M. C. (2007). Application of multimedia design principles to visuals used in course-books: An evaluation tool. Turkish Online Journal of Educational Technology, 6(2), Article 1. https://tojet.net/articles/v6i2/621.pdf
  • Leander, K. M., Phillips, N. C., & Taylor, K. H. (2010). The changing social spaces of learning: Mapping new mobilities. Review of Research in Education, 34(1), 329–394. https://doi.org/10.3102/0091732X09358129
  • Mayer, R. E. (2010). Applying the science of learning to medical education. Medical Education, 44, 543–549. https://doi.org/10.1111/j.1365-2923.2010.03624.x
  • Mayer, R. E. (2014a). Introduction to multimedia learning. In R. E. Mayer (Ed), The Cambridge handbook of multimedia learning (2nd ed.) (pp. 1–24). Cambridge University. https://doi.org/10.1017/CBO9781139547369.002
  • Mayer, R. E. (2014b). The Cambridge handbook of multimedia learning (2nd ed.). Cambridge University. https://doi.org/10.1017/CBO9781139547369
  • Mayer, R. E., Fiorella, L., & Stull, A. (2020). Five ways to increase the effectiveness of instructional video. Educational Technology Research and Development, 68, 837–852. https://doi.org/10.1007/s11423-020-09749-6
  • Mayer, R. E., & Moreno, R. (1998). A split-attention effect in multimedia learning: Evidence for dual processing systems in working memory. Journal of Educational Psychology, 90(2), 312–320. https://psycnet.apa.org/doi/10.1037/0022-0663.90.2.312
  • Pagano, R. R. (2013). Understanding statistics in the behavioral sciences (10th ed.). Cengage Learning.
  • Paivio, A. (1978). A dual coding approach to perception and cognition. In H. L. Pick, Jr., & E. Saltzman (Eds), Modes of perceiving and processing information (pp. 39–51). Psychology.
  • Shoufan, A. (2019). Estimating the cognitive value of YouTube’s educational videos: A learning analytics approach. Computers in Human Behavior, 92, 450–458. https://doi.org/10.1016/j.chb.2018.03.036
  • Sorden, S. D. (2013). The cognitive theory of multimedia learning. In B. Irby, G. H. Brown, R. Lara-Aiecio, & S. A. Jackson (Eds), Handbook of educational theories (pp. 155–168). Information Age.
  • Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1016/0364-0213(88)90023-7
  • TEDTalentSearch. (2012, June 25). Derek Muller: The key to effective educational science videos. YouTube. https://www.youtube.com/watch?v=RQaW2bFieo8
  • Ten Hove, P. E. (2014). Characteristics of instructional videos for conceptual knowledge development (Publication No. S1360191) [Master’s thesis, University of Twente]. University of Twente Student Theses. https://essay.utwente.nl/66639/
  • Ten Hove, P., & Van Der Meij, H. (2015). Like it or not. What characterizes YouTube’s more popular instructional videos? Technical Communication, 62(1), 48–62. https://www.ingentaconnect.com/content/stc/tc/2015/00000062/00000001/art00005
  • Tim Green. (2014, December 11). Talking multimedia learning with Dr. Richard Mayer [Video]. YouTube. https://www.youtube.com/watch?v=Q5eY9k3v4mE
  • Veritasium. (2014, December 1). The most persistent myth [Video]. YouTube. https://www.youtube.com/watch?v=GEmuEWjHr5c
  • Wang, W. F., Chen, C. M., & Wu, C. H. (2016). Effects of different video lecture types on sustained attention, emotion, cognitive load, and learning performance. Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015, 385–390. https://doi.org/10.1109/IIAI-AAI.2015.225
  • Wittrock, M. C., & Farley, F. (Eds.). (1989). The future of educational psychology. Erlbaum.

Çoklu Ortam Prensipleri Rubriği: Çoklu Ortamla Bilişsel Öğrenme Kuramına Dayalı Fen Öğretimi Videolarını Filtrelemek İçin Yeni Bir Araç

Yıl 2025, Cilt: 19 Sayı: 1, 1 - 29, 27.06.2025
https://doi.org/10.17522/balikesirnef.1566204

Öz

Günümüz öğrencileri, araştırma yapmak ve öğrenme ihtiyaçlarını karşılamak için basitçe internete, özellikle de videolara, başvurmaktadır. Bu tür kaynakların çoğu denetimsiz ve niteliksiz olabilmektedir. Ancak, literatürde bu tür yaygın olarak bulunan videoların öğretim kalitesini ölçen araçların eksik olduğu göze çarpmaktadır. Dahası, bu tür içerikleri değerlendirirken bilişsel yönler sıklıkla göz ardı edilmektedir. Bu çalışmada, uzmanlarla gözden geçirildikten sonra çoklu ortam (multimedya) prensipleri rubriği (MPR) adı verilen bir araç geliştirilmiş ve bu boşluğu doldurmak için değerlendirilmiştir. MPR, Mayer’in Çoklu Ortamla Bilişsel Öğrenme Kuramı’na (CTML) dayanan 16 ilkeden oluşmaktadır ve literatür taraması yoluyla detaylandırılmıştır. MPR’nin tanımlayıcı maddeleri, 5 puanlık bir Likert ölçeğine göre düzenlenmiştir ve genel bir ortalama bilişsel değer puanı üretmektedir. MPR, küme örneklemesiyle seçilen 90 örnek fizik videosu üzerinde birden fazla değerlendirici tarafından test edilmiş ve iyi bir değerlendiriciler-arası güvenilirliğe sahip olduğu bulunmuştur. MPR, kullanıcılarına, özellikle öğretmenlere, yalnızca video derecelendirmeleri veya görüntüleme sayısı gibi istatistiksel göstergelere güvenmek yerine, videoları CTML ışığında filtrelemede yardımcı olabilir. MPR’nin ayrıca eğitim içeriğindeki boşlukları belirlemek ve içerik üreticilerinin uygulayabileceği çözümler önermek için de faydalı olabileceği düşünülmektedir.

Kaynakça

  • Alkharusi, H. (2022). A descriptive analysis and interpretation of data from likert scales in educational and psychological research. Indian Journal of Psychology and Education, 12(2), 13-16. http://www.ijpe.co.in/Articles.aspx
  • AlShaikh, R., Al-Malki, N. & Almasre, M. (2024). The implementation of the cognitive theory of multimedia learning in the design and evaluation of an AI educational video assistant utilizing large language models. Heliyon, 10(3) Article e25361. https://doi.org/10.1016/j.heliyon.2024.e25361
  • Bengfort, J. (2019, April 8). How K–12 schools can use next-generation content filtering to keep students safe. EdTech Focus on K-12. https://edtechmagazine.com/k12/article/2019/04/how-k-12-schools-can-use-next-generation-content-filtering-keep-students-safe-perfcon
  • Berk, R. A. (2009). Multimedia teaching with video clips: TV, movies, YouTube, and mtvU in the college classroom. International Journal of Technology in Teaching & Learning, 5(1), 1–21. http://sicet.org/main/wp-content/uploads/2016/11/ijttl-09-01-1_Berk.pdf
  • Brame, C. J. (2016). Effective educational videos: Principles and guidelines for maximizing student learning from video content. CBE Life Sciences Education, 15(4), es6.1–es6.6. https://doi.org/10.1187/cbe.16-03-0125
  • Creswell, J. W. (2005). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Pearson Education, Inc.
  • Fiorella, L., & Mayer, R. E. (2018). What works and doesn’t work with instructional video. Computers in Human Behavior, 89, 465–470. https://doi.org/10.1016/j.chb.2018.07.015
  • Fiorella, L. (2021). The embodiment principle in multimedia learning. In R. E. Mayer & L. Fiorella (Eds.), The Cambridge handbook of multimedia learning (pp. 286–295). Cambridge University.
  • Fraenkel J. R., Wallen, N. E., & Hyun, H. H. (2011). How to design and evaluate research in education (8th ed.). McGraw Hill Companies.
  • Frick, T. W. (2020). Education systems and technology in 1990, 2020, and beyond. TechTrends, 64, 693–703. https://doi.org/10.1007/s11528-020-00527-y
  • Guo, P. J., Kim, J., & Rubin, R. (2014). How video production affects student engagement: An empirical study of MOOC videos. L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale, 41–50. https://doi.org/10.1145/2556325.2566239
  • Kay, R. H. (2014). Developing a framework for creating effective instructional video podcasts. International Journal of Emerging Technologies in Learning, 9(1), 22–30. https://doi.org/10.3991/ijet.v9i1.3335
  • Kay, R., & Ruttenberg-Rozen, R. (2020). Exploring the creation of instructional videos to improve the quality of mathematical explanations for pre-service teachers. International Journal of E-Learning and Distance Education, 35(1), 1–21. https://www.ijede.ca/index.php/jde/article/view/1161/1805
  • Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236–247. https://doi.org/10.1016/j.chb.2016.09.024
  • Knott, R. (2020, March 10). Video length: How long should instructional videos be? (New Data). TechSmith. https://www.techsmith.com/blog/video-length/
  • Koo, T. K., & Li, M. Y. (2016). A Guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.jcm.2016.02.012
  • Kuzu, A., Akbulut, Y., & Şahin, M. C. (2007). Application of multimedia design principles to visuals used in course-books: An evaluation tool. Turkish Online Journal of Educational Technology, 6(2), Article 1. https://tojet.net/articles/v6i2/621.pdf
  • Leander, K. M., Phillips, N. C., & Taylor, K. H. (2010). The changing social spaces of learning: Mapping new mobilities. Review of Research in Education, 34(1), 329–394. https://doi.org/10.3102/0091732X09358129
  • Mayer, R. E. (2010). Applying the science of learning to medical education. Medical Education, 44, 543–549. https://doi.org/10.1111/j.1365-2923.2010.03624.x
  • Mayer, R. E. (2014a). Introduction to multimedia learning. In R. E. Mayer (Ed), The Cambridge handbook of multimedia learning (2nd ed.) (pp. 1–24). Cambridge University. https://doi.org/10.1017/CBO9781139547369.002
  • Mayer, R. E. (2014b). The Cambridge handbook of multimedia learning (2nd ed.). Cambridge University. https://doi.org/10.1017/CBO9781139547369
  • Mayer, R. E., Fiorella, L., & Stull, A. (2020). Five ways to increase the effectiveness of instructional video. Educational Technology Research and Development, 68, 837–852. https://doi.org/10.1007/s11423-020-09749-6
  • Mayer, R. E., & Moreno, R. (1998). A split-attention effect in multimedia learning: Evidence for dual processing systems in working memory. Journal of Educational Psychology, 90(2), 312–320. https://psycnet.apa.org/doi/10.1037/0022-0663.90.2.312
  • Pagano, R. R. (2013). Understanding statistics in the behavioral sciences (10th ed.). Cengage Learning.
  • Paivio, A. (1978). A dual coding approach to perception and cognition. In H. L. Pick, Jr., & E. Saltzman (Eds), Modes of perceiving and processing information (pp. 39–51). Psychology.
  • Shoufan, A. (2019). Estimating the cognitive value of YouTube’s educational videos: A learning analytics approach. Computers in Human Behavior, 92, 450–458. https://doi.org/10.1016/j.chb.2018.03.036
  • Sorden, S. D. (2013). The cognitive theory of multimedia learning. In B. Irby, G. H. Brown, R. Lara-Aiecio, & S. A. Jackson (Eds), Handbook of educational theories (pp. 155–168). Information Age.
  • Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1016/0364-0213(88)90023-7
  • TEDTalentSearch. (2012, June 25). Derek Muller: The key to effective educational science videos. YouTube. https://www.youtube.com/watch?v=RQaW2bFieo8
  • Ten Hove, P. E. (2014). Characteristics of instructional videos for conceptual knowledge development (Publication No. S1360191) [Master’s thesis, University of Twente]. University of Twente Student Theses. https://essay.utwente.nl/66639/
  • Ten Hove, P., & Van Der Meij, H. (2015). Like it or not. What characterizes YouTube’s more popular instructional videos? Technical Communication, 62(1), 48–62. https://www.ingentaconnect.com/content/stc/tc/2015/00000062/00000001/art00005
  • Tim Green. (2014, December 11). Talking multimedia learning with Dr. Richard Mayer [Video]. YouTube. https://www.youtube.com/watch?v=Q5eY9k3v4mE
  • Veritasium. (2014, December 1). The most persistent myth [Video]. YouTube. https://www.youtube.com/watch?v=GEmuEWjHr5c
  • Wang, W. F., Chen, C. M., & Wu, C. H. (2016). Effects of different video lecture types on sustained attention, emotion, cognitive load, and learning performance. Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015, 385–390. https://doi.org/10.1109/IIAI-AAI.2015.225
  • Wittrock, M. C., & Farley, F. (Eds.). (1989). The future of educational psychology. Erlbaum.
Toplam 35 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Fen ve Matematik Alanları Eğitimi (Diğer)
Bölüm Makaleler
Yazarlar

Fatma Mohamed Taher 0000-0002-9675-6763

Semiral Öncü 0000-0001-8549-094X

Yavuz Samur 0000-0003-4269-7099

Yayımlanma Tarihi 27 Haziran 2025
Gönderilme Tarihi 14 Ekim 2024
Kabul Tarihi 25 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 19 Sayı: 1

Kaynak Göster

APA Mohamed Taher, F., Öncü, S., & Samur, Y. (2025). Multimedia Principles Rubric: A New Instrument to Filter Instructional Science Videos Based on the Cognitive Theory of Multimedia Learning. Necatibey Faculty of Education Electronic Journal of Science and Mathematics Education, 19(1), 1-29. https://doi.org/10.17522/balikesirnef.1566204