Innovative Integration of Multidisciplinary Teaching and Science Popularization Resources in Marine Environment and Global Change Education
DOI:
https://doi.org/10.61360/BoniCETRHE262020640102Keywords:
marine environment, global change, multidisciplinary teaching, science popularization, AI-assisted instructionAbstract
Marine Environment and Global Change is a master's-level course that adopts an ocean-centred perspective to connect Earth-system science, marine chemistry, ecology, pollution, climate policy, and public communication. Building on a multidisciplinary curriculum, the reform coordinates multiple teaching elements and converts course materials into resources for science popularisation. Unlike physically oriented climate courses that focus primarily on ocean dynamics, observing systems, and forecasting, this course foregrounds marine chemical and environmental change, including carbon cycling, acidification, atmospheric deposition, toxic pollutants, ecological restoration, and anthropogenic impacts. Its six thematic modules are taught through an integrated combination of lectures, seminars, disaster films, recent environmental events, and video materials, with AI-assisted inquiry, numerical simulation, and field practice incorporated as extensible components. A qualitative comparison of the Spring and Autumn 2025 teaching rounds indicated broader observable classroom participation following the introduction of the diversified format. The core model is applicable to graduate and undergraduate education as well as public outreach, although its advanced components require appropriate teaching expertise, digital resources, and access to field settings.
References
Boud, D., & Falchikov, N. (2006). Aligning assessment with long-term learning. Assessment & Evaluation in Higher Education, 31(4), 399-413. https://doi.org/10.1080/02602930600679050
Boyle, A., Maguire, S., Martin, A., Milsom, C., Nash, R., Rawlinson, S., Turner, A., Wurthmann, S., & Conchie, S. (2007). Fieldwork is good: The student perception and the affective domain. Journal of Geography in Higher Education, 31(2), 299-317. https://doi.org/10.1080/03098260601063628
Dahlstrom, M. F. (2014). Using narratives and storytelling to communicate science with nonexpert audiences. Proceedings of the National Academy of Sciences, 111(Suppl. 4), 13614-13620. https://doi.org/10.1073/pnas.1320645111
Fauville, G., Strang, C., Cannady, M. A., & Chen, Y.-F. (2019). Development of the International Ocean Literacy Survey: Measuring knowledge across the world. Environmental Education Research, 25(2), 238-263. https://doi.org/10.1080/13504622.2018.1440381
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415. https://doi.org/10.1073/pnas.1319030111
Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235-266. https://doi.org/10.1023/B:EDPR.0000034022.16470.f3
Intergovernmental Panel on Climate Change. (2019). IPCC special report on the ocean and cryosphere in a changing climate: Summary for policymakers. https://www.ipcc.ch/srocc/chapter/summary-for-policymakers/
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., ... Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Kelly, R., Evans, K., Alexander, K., Bettiol, S., Corney, S., Cullen-Knox, C., Cvitanovic, C., de Salas, K., Emad, G. R., Fullbrook, L., Garcia, C., Ison, S., Ling, S., Macleod, C., Meyer, A., Murray, L., Murunga, M., Nash, K. L., Norris, K., ... Pecl, G. T. (2022). Connecting to the oceans: Supporting ocean literacy and public engagement. Reviews in Fish Biology and Fisheries, 32(1), 123-143. https://doi.org/10.1007/s11160-020-09625-9
Lowe, T., Brown, K., Dessai, S., de França Doria, M., Haynes, K., & Vincent, K. (2006). Does tomorrow ever come? Disaster narrative and public perceptions of climate change. Public Understanding of Science, 15(4), 435-457. https://doi.org/10.1177/0963662506063796
Monroe, M. C., Plate, R. R., Oxarart, A., Bowers, A., & Chaves, W. A. (2019). Identifying effective climate change education strategies: A systematic review of the research. Environmental Education Research, 25(6), 791-812. https://doi.org/10.1080/13504622.2017.1360842
National Oceanic and Atmospheric Administration. (n.d.). Ocean acidification. https://www.noaa.gov/education/resource-collections/ocean-coasts/ocean-acidification
Nesbit, J. C., & Adesope, O. O. (2006). Learning with concept and knowledge maps: A meta-analysis. Review of Educational Research, 76(3), 413-448. https://doi.org/10.3102/00346543076003413
Sun Yat-sen University. (n.d.). Marine Environment and Global Change (MS5709) syllabus [Unpublished course syllabus].
UNESCO. (2023). Guidance for generative AI in education and research. https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research
UNESCO-IOC. (n.d.). Ocean literacy. https://oceanliteracy.unesco.org/
Wiek, A., Withycombe, L., & Redman, C. L. (2011). Key competencies in sustainability: A reference framework for academic program development. Sustainability Science, 6(2), 203-218. https://doi.org/10.1007/s11625-011-0132-6
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