Is the Future Bright? The Potential of Lightboard Videos for Student Achievement and Engagement in Learning

Mark Lubrick; George Zhou; Jingsheng Zhang

doi:10.29333/ejmste/108437

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Mark Lubrick ¹ ^* , George Zhou ¹, Jingsheng Zhang ²

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¹ University of Windsor, CANADA² Liaocheng University, CHINA^* Corresponding Author

Abstract

Lightboard technology has only been around since 2013, but has already shown up on numerous campuses worldwide. There is a dearth of research related to lightboard videos, so there is a need to systematically explore its potential and best practices. This paper explores the pedagogical potential of lightboards for higher education through theoretical analysis and relevant literature evidence. Using relevant theoretical frameworks, including Cognitive Load Theory, Cognitive Theory of Multimedia Learning, and Social Learning Theory, we argue that the lightboard technology may improve student achievement and learning engagement, since it displays an onscreen instructor, who has the possibility to utilize gestures. Papers that compared videos with and without onscreen instructors, as well as gesturing and no gesturing cases, are reviewed in terms of the impact on learning outcomes, cognitive load, and engagement and/or social aspects. The relevant literature did not, however, provide clear insight about the benefits that a lightboard video would provide. Therefore, we advocate for further empirical research directly studying lightboard videos. Relevant questions and directions for future research are identified.

Keywords

lightboard
onscreen instructor presence
student engagement
learning achievement
gesturing and signaling

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, 2019, Volume 15, Issue 8, Article No: em1735

https://doi.org/10.29333/ejmste/108437

Publication date: 11 Apr 2019

Article Views: 4262

Article Downloads: 1821

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References

Bhat, Suma, Chinprutthiwong, P., & Perry, M. (2015). Seeing the Instructor in Two Video Styles: Preferences and Patterns. International Educational Data Mining Society. Retrieved from https://eric.ed.gov/?id=ED560520.
Brame, C. J. (2016). Effective Educational Videos: Principles and Guidelines for Maximizing Student Learning from Video Content. CBE Life Sciences Education, 15(4). https://doi.org/10.1187/cbe.16-03-0125.
Butcher, K. (2014). The Multimedia Principle. In R. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (Cambridge Handbooks in Psychology, pp. 174-205). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781139547369.010.
Carlson, C., Jacobs, S. A., Perry, M., & Breckinridge Church, R. (2014). The effect of gestured instruction on the learning of physical causality problems. Gesture, 14(1), 26–45. https://doi.org/10.1075/gest.14.1.02car.
Chen, C.-M., & Wu, C.-H. (2015). Effects of different video lecture types on sustained attention, emotion, cognitive load, and learning performance. Computers & Education, 80, 108–121. https://doi.org/10.1016/j.compedu.2014.08.015.
Church, R. B., Ayman-Nolley, S., & Mahootian, S. (2004). The Role of Gesture in Bilingual Education: Does Gesture Enhance Learning? International Journal of Bilingual Education and Bilingualism, 7(4), 303–319. https://doi.org/10.1080/13670050408667815.
Cook, S. W., Duffy, R. G., & Fenn, K. M. (2013). Consolidation and Transfer of Learning After Observing Hand Gesture. Child Development, 84(6), 1863–1871. https://doi.org/10.1111/cdev.12097.
Dey, E. L., Burn, H. E., & Gerdes, D. (2009). Bringing the Classroom to the Web: Effects of Using New Technologies to Capture and Deliver Lectures. Research in Higher Education, 50(4), 377–393. https://doi.org/10.1007/s11162-009-9124-0.
Fiorella, L., & Mayer, R. E. (2016). Effects of Observing the Instructor Draw Diagrams on Learning from Multimedia Messages. Journal of Educational Psychology, 108(4), 528–546. https://doi.org/10.1037/edu0000065.
Fung, F. M. (2017). Adopting Lightboard for a Chemistry Flipped Classroom To Improve Technology-Enhanced Videos for Better Learner Engagement. Journal of Chemical Education, 94(7), 956–959. https://doi.org/10.1021/acs.jchemed.7b00004.
Ginns, P. (2005). Meta-analysis of the modality effect. Learning and Instruction, 15(4), 313–331. https://doi.org/10.1016/j.learninstruc.2005.07.001.
Guo, P. J., Kim, J., & Rubin, R. (2014). How Video Production Affects Student Engagement: An Empirical Study of MOOC Videos. In Proceedings of the First ACM Conference on Learning @ Scale Conference (pp. 41–50). New York, NY, USA: ACM. https://doi.org/10.1145/2556325.2566239.
Hong, J., Pi, Z., & Yang, J. (2018). Learning declarative and procedural knowledge via video lectures: cognitive load and learning effectiveness. Innovations in Education and Teaching International, 55(1), 74–81. https://doi.org/10.1080/14703297.2016.1237371.
Hoogerheide, V., Loyens, S. M. M., & van Gog, T. (2014). Comparing the effects of worked examples and modeling examples on learning. Computers in Human Behavior, 41(Complete), 80–91. https://doi.org/10.1016/j.chb.2014.09.013.
Hostetter, A. B. (2011). When do gestures communicate? A meta-analysis. Psychological Bulletin, 137(2), 297–315. https://doi.org/10.1037/a0022128.
Ilioudi, C., Giannakos, M., & Chorianopoulos, K. (2013). Investigating Differences among the Commonly Used Video Lecture Styles. https://doi.org/10.13140/2.1.3524.9284.
Kang, S., Hallman, G., Son, L., & Black, J. (2013). The Different Benefits from Different Gestures in Understanding a Concept. Journal of Science Education and Technology, 22(6), 825–837. https://doi.org/10.1007/s10956-012-9433-5.
Kim, J., Guo, P. J., Seaton, D. T., Mitros, P., Gajos, K. Z., & Miller, R. C. (2014). Understanding In-video Dropouts and Interaction Peaks Inonline Lecture Videos. In Proceedings of the First ACM Conference on Learning @ Scale Conference (pp. 31–40). New York, NY, USA: ACM. https://doi.org/10.1145/2556325.2566237.
Kizilcec, R. F., Bailenson, J. N., & Gomez, C. J. (2015). The instructor’s face in video instruction: Evidence from two large-scale field studies. Journal of Educational Psychology, 107(3), 724–739. https://doi.org/10.1037/edu0000013.
Kizilcec, R. F., Papadopoulos, K., & Sritanyaratana, L. (2014). Showing Face in Video Instruction: Effects on Information Retention, Visual Attention, and Affect. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 2095–2102). New York, NY, USA: ACM. https://doi.org/10.1145/2556288.2557207.
Korving, H., Hernández, M., & De Groot, E. (2016). Look at me and pay attention! A study on the relation between visibility and attention in weblectures. Computers & Education, 94, 151–161. https://doi.org/10.1016/j.compedu.2015.11.011.
Koumoutsakis, T., Church, R., Alibali, M., Singer, M., & Ayman-Nolley, S. (2016). Gesture in Instruction: Evidence from Live and Video Lessons. Journal of Nonverbal Behavior, 40(4), 301–315. https://doi.org/10.1007/s10919-016-0234-z.
Mayer, R. (2005). Cognitive Theory of Multimedia Learning. In R. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (Cambridge Handbooks in Psychology, pp. 31-48). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511816819.004.
Mayer, R. (2014). Principles Based on Social Cues in Multimedia Learning: Personalization, Voice, Image, and Embodiment Principles. In R. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (Cambridge Handbooks in Psychology, pp. 345-368). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781139547369.017.
Mayer, R.E. (2017). Using multimedia for e‐learning. Journal of Computer Assisted Learning, 33(5), 403–423. https://doi.org/10.1111/jcal.12197.
Mayer, Richard E., Heiser, J., & Lonn, S. (2001). Cognitive constraints on multimedia learning: When presenting more material results in less understanding. Journal of Educational Psychology, 93(1), 187–198. https://doi.org/10.1037/0022-0663.93.1.187.
Mayer, Richard E., & Moreno, R. (2003). Nine Ways to Reduce Cognitive Load in Multimedia Learning. Educational Psychologist, 38(1), 43–52. https://doi.org/10.1207/S15326985EP3801_6.
Moreno, R., Mayer, R. E., Spires, H. A., & Lester, J. C. (2001). The Case for Social Agency in Computer-based Teaching: Do Students Learn More Deeply When They Interact with Animated Pedagogical Agents? Cognition and Instruction, 19(2), 177–213. https://doi.org/10.1207/S1532690XCI1902_02.
Ouwehand, K., van Gog, T., & Paas, F. (2015a). Designing Effective Video-Based Modeling Examples Using Gaze and Gesture Cues. Journal of Educational Technology & Society, 18(4), 78–88.
Ouwehand, K., van Gog, T., & Paas, F. (2015b). Effects of Gestures on Older Adults’ Learning from Video-based Models. Applied Cognitive Psychology, 29(1), 115–128. https://doi.org/10.1002/acp.3097.
Ozan, O., & Ozarslan, Y. (2016). Video lecture watching behaviors of learners in online courses. Educational Media International, 53(1), 27–41. https://doi.org/10.1080/09523987.2016.1189255.
Paas, F. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. Journal of Educational Psychology, 84, 429–434. https://doi.org/10.1037/0022-0663.84.4.429.
Paas, F., & Sweller, J. (2014). Implications of Cognitive Load Theory for Multimedia Learning. In R. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (Cambridge Handbooks in Psychology, pp. 27-42). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781139547369.004.
Pao-Ta Yu, Yuan-Hsun Liao, & Ming-Hsiang Su. (2013). A Near-Reality Approach to Improve the e-Learning Open Courseware. Journal of Educational Technology & Society, 16(4), 242–257.
Pi, Z., & Hong, J. (2016). Learning process and learning outcomes of video podcasts including the instructor and PPT slides: a Chinese case. Innovations in Education & Teaching International, 53(2), 135–144. https://doi.org/10.1080/14703297.2015.1060133.
Pi, Z., Hong, J., & Yang, J. (2017). Effects of the instructor’s pointing gestures on learning performance in video lectures. British Journal of Educational Technology, 48(4), 1020–1029. https://doi.org/10.1111/bjet.12471.
Pierson, A. (2017). The Effect of Seeing an Instructor’s Face within an Instructional Video on Connectedness, Attention, and Satisfaction (Ph.D.). Northcentral University, United States -- Arizona. Retrieved from http://search.proquest.com/docview/1936016522/abstract/8DA626AE8DDD44EDPQ/1.
Rueckert, L., Church, R. B., Avila, A., & Trejo, T. (2017). Gesture enhances learning of a complex statistical concept. Cognitive Research: Principles and Implications, 2, 2. https://doi.org/10.1186/s41235-016-0036-1.
Schneider, S., Beege, M., Nebel, S., & Rey, G. D. (2018). A meta-analysis of how signaling affects learning with media. Educational Research Review, 23, 1–24. https://doi.org/10.1016/j.edurev.2017.11.001.
Skibinski, E. S., DeBenedetti, W. J. I., Ortoll-Bloch, A. G., & Hines, M. A. (2015). A Blackboard for the 21st Century: An Inexpensive Light Board Projection System for Classroom Use. Journal of Chemical Education, 92(10), 1754–1756. https://doi.org/10.1021/acs.jchemed.5b00155.
Valenzeno, L., Alibali, M. W., & Klatzky, R. (2003). Teachers’ gestures facilitate students’ learning: A lesson in symmetry. Contemporary Educational Psychology, 28(2), 187–204. https://doi.org/10.1016/S0361-476X(02)00007-3.
van der Meij, H. (2017). Reviews in instructional video. Computers & Education, 114, 164–174. https://doi.org/10.1016/j.compedu.2017.07.002.
van Gog, T., Verveer, I., & Verveer, L. (2014). Learning from video modeling examples: Effects of seeing the human model’s face. Computers & Education, 72, 323–327. https://doi.org/10.1016/j.compedu.2013.12.004.
van Wermeskerken, M., Ravensbergen, S., & van Gog, T. (2017). Effects of instructor presence in video modeling examples on attention and learning. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2017.11.038.
van Wermeskerken, M., & van Gog, T. (2017). Seeing the instructor’s face and gaze in demonstration video examples affects attention allocation but not learning. Computers & Education, 113, 98–107. https://doi.org/10.1016/j.compedu.2017.05.013.
Wang, J., & Antonenko, P. D. (2017). Instructor presence in instructional video: Effects on visual attention, recall, and perceived learning. Computers in Human Behavior, 71, 79–89. https://doi.org/10.1016/j.chb.2017.01.049.
Wermeskerken, M. van, Grimmius, B., & Gog, T. van. (2018). Attention to the model’s face when learning from video modeling examples in adolescents with and without autism spectrum disorder. Journal of Computer Assisted Learning, 34(1), 32–41. https://doi.org/10.1111/jcal.12211.
Yeo, A., Ledesma, I., Nathan, M. J., Alibali, M. W., & Church, R. B. (2017). Teachers’ gestures and students’ learning: sometimes “hands off” is better. Cognitive Research: Principles and Implications, 2, 41. https://doi.org/10.1186/s41235-017-0077-0.
Yousef, A. M. F., Schroeder, U., & Chatti, M. A. (2014). Video-Based Learning: A Critical Analysis of The Research Published in 2003-2013 and Future Visions (No. RWTH-CONV-204082). IARIA. https://doi.org/999910338682, 978-1-61208-328-5, 2308-4367.

How to cite this article

APA

Lubrick, M., Zhou, G., & Zhang, J. (2019). Is the Future Bright? The Potential of Lightboard Videos for Student Achievement and Engagement in Learning. Eurasia Journal of Mathematics, Science and Technology Education, 15(8), em1735. https://doi.org/10.29333/ejmste/108437

Vancouver

Lubrick M, Zhou G, Zhang J. Is the Future Bright? The Potential of Lightboard Videos for Student Achievement and Engagement in Learning. EURASIA J Math Sci Tech Ed. 2019;15(8):em1735. https://doi.org/10.29333/ejmste/108437

AMA

Lubrick M, Zhou G, Zhang J. Is the Future Bright? The Potential of Lightboard Videos for Student Achievement and Engagement in Learning. EURASIA J Math Sci Tech Ed. 2019;15(8), em1735. https://doi.org/10.29333/ejmste/108437

Chicago

Lubrick, Mark, George Zhou, and Jingsheng Zhang. "Is the Future Bright? The Potential of Lightboard Videos for Student Achievement and Engagement in Learning". Eurasia Journal of Mathematics, Science and Technology Education 2019 15 no. 8 (2019): em1735. https://doi.org/10.29333/ejmste/108437

Harvard

Lubrick, M., Zhou, G., and Zhang, J. (2019). Is the Future Bright? The Potential of Lightboard Videos for Student Achievement and Engagement in Learning. Eurasia Journal of Mathematics, Science and Technology Education, 15(8), em1735. https://doi.org/10.29333/ejmste/108437

MLA

Lubrick, Mark et al. "Is the Future Bright? The Potential of Lightboard Videos for Student Achievement and Engagement in Learning". Eurasia Journal of Mathematics, Science and Technology Education, vol. 15, no. 8, 2019, em1735. https://doi.org/10.29333/ejmste/108437