Workflow for designing instructional videos to support place-based geoscience education for geoscience majors

References

• Adams, J. E. (1965). Stratigraphic-tectonic development of Delaware Basin. AAPG Bulletin, 49(11), 2140–2148.
   Google Scholar
• Ainsworth, S. (2006). DeFT: A conceptual framework for considering learning with multiple representations. Learning and Instruction, 16(3), 183–198. https://doi.org/10.1016/j.learninstruc.2006.03.001
   Web of Science ®Google Scholar
• Akinbadewa, B. O., & Sofowora, O. A. (2020). The effectiveness of multimedia instructional learning packages in enhancing secondary school students’ attitudes toward Biology. International Journal on Studies in Education, 2(2), 119–133. https://doi.org/10.46328/ijonse.19
   Google Scholar
• American Geosciences Institute. (2022). Career compass. Retrieved June 21, 2022, from https://www.americangeosciences.org/workforce/compass
   Google Scholar
• Apple, J., Lemus, J., & Semken, S. (2014). Teaching geoscience in the context of culture and place. Journal of Geoscience Education, 62(1), 1–4. https://doi.org/10.5408/1089-9995-62.1.1
   Google Scholar
• Armougum, A., Gaston-Bellegarde, A., Joie-La Marle, C., & Piolino, P. (2020). Expertise reversal effect: Cost of generating new schemas. Computers in Human Behavior, 111, 106406. https://doi.org/10.1016/j.chb.2020.106406
   Web of Science ®Google Scholar
• Arnavut, A., & Özdamli, F. (2016). Examination of studies on technology-assisted collaborative learning published between 2010–2014. Cypriot Journal of Educational Sciences, 11(3), 119–125. https://doi.org/10.18844/cjes.v11i3.1021
   Google Scholar
• Arthurs, L. (2018). How explicit is the cognitive science foundation of geoscience education research? A study of syntactical units in JGE articles. Journal of Geoscience Education, 66(1), 77–91. https://doi.org/10.1080/10899995.2018.1411710
   Google Scholar
• Baker, S. P., Benson, M. A., Palmes, S. L., & Huntoon, J. E. (1995). Numerical simulation of sedimentary basin formation with simple examples for upper-division undergraduates in tectonics or process-sedimentology courses. Journal of Geological Education, 43(3), 230–235. https://doi.org/10.5408/0022-1368-43.3.230
   Google Scholar
• Banchero, P., Rector, T. A., & Van Ballenberghe, J. (2021). Best practices in climate change communication as applied to an informal education documentary about Alaska. Journal of Geoscience Education, 69(2), 138–149. https://doi.org/10.1080/10899995.2020.1768003
   Google Scholar
• Baram-Tsabari, A., & Lewenstein, B. V. (2013). An instrument for assessing scientists’ written skills in public communication of science. Science Communication, 35(1), 56–85. https://doi.org/10.1177/1075547012440634
   Web of Science ®Google Scholar
• Beheshti, M., Taspolat, A., Kaya, Ã. S., & Sapanca, H. F. (2018). Characteristics of instructional videos. World Journal on Educational Technology: Current Issues, 10(1), 61–69. https://doi.org/10.18844/wjet.v10i1.3186
   Google Scholar
• Bobek, E., & Tversky, B. (2016). Creating visual explanations improves learning. Cognitive Research: Principles and Implications, 1(1), 1–14. https://doi.org/10.1186/s41235-016-0031-6
   PubMedGoogle Scholar
• Boclips. (2019). Access denied: Teachers struggle to access safe video content (pp. 9–10). Retrieved May 28, 2022, from www.boclips.com/teachers-struggle-to-access-video-whitepaper
   Google Scholar
• Bogomolova, K., Hierck, B. P., Looijen, A. E., Pilon, J. N., Putter, H., Wainman, B., Hovius, S. E., & van der Hage, J. A. (2021). Stereoscopic three‐dimensional visualisation technology in anatomy learning: A meta‐analysis. Medical Education, 55(3), 317–327. https://doi.org/10.1111/medu.14352
   Web of Science ®Google Scholar
• Bond, C. E., Gibbs, A. D., Shipton, Z. K., & Jones, S. (2007). What do you think this is? “Conceptual uncertainty” in geoscience interpretation. GSA Today, 17(11), 4–10. https://doi.org/10.1130/GSAT01711A.1
   Google Scholar
• Brame, C. J. (2016). Effective educational videos: Principles and guidelines for maximizing student learning from video content. CBE—Life Sciences Education, 15(4), es6. https://doi.org/10.1187/cbe.16-03-0125
   PubMed Web of Science ®Google Scholar
• Cacciatore, M. A., Becker, A. B., Anderson, A. A., & Yeo, S. K. (2020). Laughing with science: The influence of audience approval on engagement. Science Communication, 42(2), 195–217. https://doi.org/10.1177/1075547020910749
   Web of Science ®Google Scholar
• Carmichael, M., Reid, A.-K., & Karpicke, J. D. (2018). Assessing the impact of educational video on student engagement, critical thinking and learning. 21.
   Google Scholar
• Chinn, P. W. (2007). Decolonizing methodologies and indigenous knowledge: The role of culture, place and personal experience in professional development. Journal of Research in Science Teaching, 44(9), 1247–1268. https://doi.org/10.1002/tea.20192
   Web of Science ®Google Scholar
• Chinn, P. W. U., Businger, S., Lance, K., Ellinwood, J. K., Stone, J. K., Spencer, L., McCoy, F. W., Nogelmeier, M. P., & Rowland, S. K. (2014). Kahua A’o—A Learning Foundation: Using Hawaiian Language Newspaper Articles for Earth Science Professional Development. Journal of Geoscience Education, 62(2), 217–226. https://doi.org/10.5408/13-019.1
   Google Scholar
• Chorianopoulos, K. (2018). A taxonomy of asynchronous instructional video styles. The International Review of Research in Open and Distributed Learning, 19(1), 259–311. https://doi.org/10.19173/irrodl.v19i1.2920
   Web of Science ®Google Scholar
• Ciardiello, A. V. (1998). Did you ask a good question today? Alternative cognitive and metacognitive strategies. Journal of Adolescent & Adult Literacy, 42(3), 210–219. https://www.jstor.org/stable/40014681
   Web of Science ®Google Scholar
• Clark, R. C., & Mayer, R. E. (2016). E-learning and the science of instruction (4th ed.). Wiley.
   Google Scholar
• Coker, J. S. (2017). Pedagogy and place in science education. In D. Shannon & J. Galle (Eds.), Interdisciplinary approaches to pedagogy and place-based education (pp. 71–83). Palgrave Macmillan.
   Google Scholar
• Cook, T. D., Campbell, D. T., & Shadish, W. (2002). Experimental and quasi-experimental designs for generalized causal inference (pp. 13–18). Houghton Mifflin.
   Google Scholar
• Cumming, G. (2012). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. Routledge.
   Google Scholar
• Cumming, G., & Finch, S. (2005). Inference by eye: Confidence intervals and how to read pictures of data. The American Psychologist, 60(2), 170–180. https://doi.org/10.1037/0003-066X.60.2.170
   PubMed Web of Science ®Google Scholar
• Deringer, S. A. (2017). Mindful place-based education: Mapping the literature. Journal of Experiential Education, 40(4), 333–348. https://doi.org/10.1177/1053825917716694
   Web of Science ®Google Scholar
• diSessa, A. A. (2004). Metarepresentation: Native competence and targets for instruction. Cognition and Instruction, 22(3), 293–331. https://doi.org/10.1207/s1532690xci2203_2
   Web of Science ®Google Scholar
• Doyle, J. K. (1997). The cognitive psychology of systems thinking. System Dynamics Review, 13(3), 253–265. https://doi.org/10.1002/(SICI)1099-1727(199723)13:3<253::AID-SDR129>3.0.CO;2-H
   Web of Science ®Google Scholar
• Drummond, C. N., & Markin, J. M. (2008). An analysis of the bachelor of science in geology degree as offered in the United States. Journal of Geoscience Education, 56(2), 113–119. https://doi.org/10.5408/1089-9995-56.2.113
   Google Scholar
• Elder, J. (1998). Teaching at the edge. In Stories in the land: A place-based environmental education anthology (pp. 1–15). The Orion Society.
   Google Scholar
• Friedman, A. (1993). Designing graphics to support mental models. Automating instructional design: Concepts and issues. Educational Technology Publications.
   Google Scholar
• Galbraith, J. (2004). Adult learning methods: A guide for effective instruction (3rd ed.). Krieger Publishing Company.
   Google Scholar
• Gallagher, S. E., & Savage, T. (2020). Challenge-based learning in higher education: An exploratory literature review. Teaching in Higher Education, 1–23. https://doi.org/10.1080/13562517.2020.1863354
   Web of Science ®Google Scholar
• Gellen, S., Saunders, F., Simmons, L., Stannard, J., & McAllister-Gibson, C. (2020). Can video support improve attainment? Evaluating the impact of teaching videos on student performance. Learning and Teaching Journal, 2(2), 181–190. Retrieved May 31, 2022, from https://e-space.mmu.ac.uk/626497/3/128-Article-667-1-10-20201210.pdf
   Google Scholar
• Giannakos, M. N. (2013). Exploring the video-based learning research: A review of the literature: Colloquium. British Journal of Educational Technology, 44(6), E191–E195. https://doi.org/10.1111/bjet.12070
   Web of Science ®Google Scholar
• Goldberg, M. G., van der Linden, S., Ballew, M. T., Rosenthal, S. A., Gustafson, A., & Leiserowitz, A. (2019). The cxperience of Consensus: Video as an effective medium to communicate scientific agreement on climate change. Science Communication, 41(5), 659–673.
   Web of Science ®Google Scholar
• Goldsmith, D. W. (2011). A case-based curriculum for introductory geology. Journal of Geoscience Education, 59(3), 119–125. https://doi.org/10.5408/1.3604824
   Google Scholar
• Goodwin, J., & Dahlstrom, M. F. (2014). Communication strategies for earning trust in climate change debates. WIREs Climate Change, 5(1), 151–160. https://doi.org/10.1002/wcc.262
   Google Scholar
• Graham, S. A. (1983). Evolving concepts and teaching approaches in tectonics and sedimentation. Journal of Geological Education, 31(4), 266–276. https://doi.org/10.5408/0022-1368-31.4.266
   Web of Science ®Google Scholar
• Greussing, E., Kessler, S. H., & Boomgaarden, H. G. (2020). Learning from science news via interactive and animated data visualizations: An investigation combining eye tracking, online survey, and cued retrospective reporting. Science Communication, 42(6), 803–828. https://doi.org/10.1177/1075547020962100
   Web of Science ®Google Scholar
• Griffiths, T. L., Lieder, F., & Goodman, N. D. (2015). Rational use of cognitive resources: Levels of analysis between the computational and the algorithmic. Topics in Cognitive Science, 7(2), 217–229. https://doi.org/10.1111/tops.12142
   PubMed Web of Science ®Google Scholar
• Guo, P. J., Kim, J., & Rubin, R. (2014). How video production affects student engagement: An empirical study of MOOC videos. Proceedings of the First ACM Conference on Learning@ Scale Conference (pp. 41–50). https://doi.org/10.1145/2556325.2566239
   Google Scholar
• Hakala, I., Laine, S., & Myllymäki, M. (2010, March). The effect of lecture videos on participation in teaching. WBE Web-Based Education Conference Proceedings (pp. 391–397). https://doi.org/10.2316/P.2010.688-046
   Google Scholar
• Hegarty, M. (2004). Dynamic visualizations and learning: Getting to the difficult questions. Learning and Instruction, 14(3), 343–351. https://doi.org/10.1016/j.learninstruc.2004.06.007
   Web of Science ®Google Scholar
• Hegarty, M., Kriz, S., & Cate, C. (2003). The roles of mental animations and external animations in understanding mechanical systems. Cognition and Instruction, 21(4), 209–249. https://doi.org/10.1207/s1532690xci2104_1
   Web of Science ®Google Scholar
• Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41(2), 111–127. https://doi.org/10.1207/s15326985ep4102_4
   Web of Science ®Google Scholar
• Hobbs, R. (2006). Non‐optimal uses of video in the classroom. Learning, Media and Technology, 31(1), 35–50. https://doi.org/10.1080/17439880500515457
   Google Scholar
• Hoke, K., O’Connell, K., Semken, S., & Arora, V. (2020). Promoting a sense of place virtually. Bulletin of the Ecological Society of America, 101(4), 1–5.
   Google Scholar
• Holmes, K., Mackenzie, E., Berger, N., & Walker, M. (2021). Linking K-12 STEM pedagogy to local contexts: A scoping review of benefits and limitations. Frontiers in Education, 6, 693808. https://doi.org/10.3389/feduc.2021.693808
   Google Scholar
• Huntoon, J., Peach, C., & Hopkins, J. (2005). Geoscience education and diversity: Vision for the future and strategies for success. Report of the Second Geoscience Education Working Group. Washington, DC. National Science Foundation Report (pp. 10–21).
   Google Scholar
• Ireton, M., Manduca, C., Mogk, D. (1997). Shaping the future of undergraduate earth science education: Innovation and change using an earth systems approach: American Geophysical Union. Retrieved May 31, 2022, from https://serc.carleton.edu/shapingfuture/index.html
   Google Scholar
• Johnson, L. F., Smith, R. S., Smythe, J. T., & Varon, R. K. (2009). Challenge-based learning: An approach for our time (pp. 1–38). The New Media Consortium.
   Google Scholar
• Jolley, A., Kennedy, B. M., Brogt, E., Hampton, S. J., & Fraser, L. (2018). Are we there yet? Sense of place and the student experience on roadside and situated geology field trips. Geosphere, 14(2), 651–667. https://doi.org/10.1130/GES01484.1
   Web of Science ®Google Scholar
• Jones, J. P., McConnell, D. A., Wiggen, J. L., & Bedward, J. (2019). Effects of classroom “flipping” on content mastery and student confidence in an introductory physical geology course. Journal of Geoscience Education, 67(3), 195–210. https://doi.org/10.1080/10899995.2019.1568854
   Google Scholar
• Kalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction. Educational Psychology Review, 19(4), 509–539. https://doi.org/10.1007/s10648-007-9054-3
   Web of Science ®Google Scholar
• Kalyuga, S. (2014). The expertise reversal principle in multimedia learning (pp. 577–590).
   Google Scholar
• Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational Psychologist, 38(1), 23–31. https://doi.org/10.1207/S15326985EP3801_4
   Web of Science ®Google Scholar
• Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of Instructional Development, 10(3), 2–10. https://doi.org/10.1007/BF02905780
   Google Scholar
• Keller, J. M. (2009). Motivational design for learning and performance: The ARCS model approach (pp. 98–110). Springer Science & Business Media.
   Google Scholar
• Khadka, A., Li, C. J., Stanis, S. W., & Morgan, M. (2021). Unpacking the power of place-based education in climate change communication. Applied Environmental Education & Communication, 20(1), 77–91. https://doi.org/10.1080/1533015X.2020.1719238
   Google Scholar
• King, C. (2008). Geoscience education: An overview. Studies in Science Education, 44(2), 187–222. https://doi.org/10.1080/03057260802264289
   Web of Science ®Google Scholar
• Klemme, H. D. (1980). Petroleum basins-classifications and characteristics. Journal of Petroleum Geology, 3(2), 187–207. https://doi.org/10.1111/j.1747-5457.1980.tb00982.x
   Google Scholar
• Klippel, A., Zhao, J., Jackson, K. L., La Femina, P., Stubbs, C., Wetzel, R., Blair, J., Wallgrun, J. O., & Oprean, D. (2019). Earth Science education through immersive experiences: Delivering on a long held promise. Journal of Educational Computing Research, 57, 1745–1771. https://doi.org/10.1177/0735633119854025
   Web of Science ®Google Scholar
• Knapp, E. P., Greer, L., Connors, C. D., & Harbor, D. J. (2006). Field-based instruction as part of a balanced geoscience curriculum at Washington and Lee University. Journal of Geoscience Education, 54(2), 103–108. https://doi.org/10.5408/knappetal-v54p1.v2
   Google Scholar
• Kortz, K. M., Grenga, A. M., & Smay, J. J. (2017). Establishing and applying literature-based criteria for effective communication of science to novices via introductory geology textbooks. Journal of Geoscience Education, 65(1), 48–59. https://doi.org/10.5408/16-205.1
   Google Scholar
• Koul, R., Lerdpornkulrat, T., & Chantara, S. (2011). Relationship between career aspirations and measures of motivation toward biology and physics, and the influence of gender. Journal of Science Education and Technology, 20(6), 761–770. https://doi.org/10.1007/s10956-010-9269-9
   Web of Science ®Google Scholar
• Kulgemeyer, C. (2020). A framework of effective science explanation videos informed by criteria for instructional explanations. Research in Science Education, 50(6), 2441–2462. https://doi.org/10.1007/s11165-018-9787-7
   Web of Science ®Google Scholar
• LaDue, N. D., & Pacheco, H. A. (2013). Critical experiences for field geologists: Emergent themes in interest development. Journal of Geoscience Education. 9(61), 428–436.
   Google Scholar
• Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 863. https://doi.org/10.3389/fpsyg.2013.00863
   PubMed Web of Science ®Google Scholar
• Laws, P. W., Willis, M. C., Jackson, D. P., Koenig, K., & Teese, R. (2015). Using research-based interactive video vignettes to enhance out-of-class learning in introductory physics. The Physics Teacher, 53(2), 114–117. https://doi.org/10.1119/1.4905816
   Web of Science ®Google Scholar
• Leckey, E. H., Littrell, M. K., Okochi, C., González-Bascó, I., Gold, A., & Rosales-Collins, S. (2021). Exploring local environmental change through filmmaking: The Lentes en Cambio Climático program. The Journal of Environmental Education, 52(4), 207–222. https://doi.org/10.1080/00958964.2021.1949570
   Web of Science ®Google Scholar
• Lemus, J. D., Seraphin, K. D., Coopersmith, A., & Correa, C. K. V. (2014). Infusing traditional knowledge and ways of knowing into science communication courses at the University of Hawai’i. Journal of Geoscience Education, 62(1), 5–10. https://doi.org/10.5408/12-416.1
   Google Scholar
• Lin, M.-H., Chen, H.-g., & Liu, K.-S. (2017). A study of the effects of digital learning on learning motivation and learning outcome. EURASIA Journal of Mathematics, Science and Technology Education, 13(7), 3553–3564. https://doi.org/10.12973/eurasia.2017.00744a
   Web of Science ®Google Scholar
• Littrell, M. K., Okochi, C., Gold, A. U., Leckey, E., Tayne, K., Lynds, S., Williams, V., & Wise, S. (2020). Exploring students’ engagement with place-based environmental challenges through filmmaking: A case study from the Lens on Climate Change program. Journal of Geoscience Education, 68(1), 80–93. https://doi.org/10.1080/10899995.2019.1633510
   Google Scholar
• Loderer, K., Pekrun, R., & Lester, J. C. (2020). Beyond cold technology: A systematic review and meta-analysis on emotions in technology-based learning environments. Learning and Instruction, 70, 101162. https://doi.org/10.1016/j.learninstruc.2018.08.002
   Web of Science ®Google Scholar
• Lonsdale, M. D. S., Lonsdale, D. (2019). Design2Inform: Information visualisation guidelines [Report 02]:6–7. http://eprints.whiterose.ac.uk/141932/8/LonsdaleLonsdale_2019_Design2Inform_InformationVisualisationGuidelines_Report02%20corrected.pdf
   Google Scholar
• Lowenthal, P., Borup, J., West, R., & Archambault, L. (2020). Thinking beyond Zoom: Using asynchronous video to maintain connection and engagement during the COVID-19 pandemic. Journal of Technology and Teacher Education, 28(2), 383–391. Retrieved May 28, 2022, from https://www.learntechlib.org/primary/p/216192/
   Google Scholar
• Ludwig, M. (Ed.). (2020). Research on outdoor STEM education in the digital age. Proceedings of the ROSETA Online Conference in June 2020 (1st ed., pp. 10–26). WTM-Verlag. https://doi.org/10.37626/GA9783959871440.0
   Google Scholar
• Macdonald, R. H., Manduca, C. A., Mogk, D. W., & Tewksbury, B. J. (2005). Teaching methods in undergraduate geoscience courses: Results of the 2004 On the Cutting Edge survey of US faculty. Journal of Geoscience Education, 53(3), 237–252. https://doi.org/10.5408/1089-9995-53.3.237
   Google Scholar
• Makransky, G., Borre‐Gude, S., & Mayer, R. E. (2019). Motivational and cognitive benefits of training in immersive virtual reality based on multiple assessments. Journal of Computer Assisted Learning, 35(6), 691–707. https://doi.org/10.1111/jcal.12375
   Web of Science ®Google Scholar
• Manduca, C. A., & Kastens, K. A. (2012). Geoscience and geoscientists: Uniquely equipped to study Earth. In K. A. Kastens & C. A. Manduca (Eds.), Earth and mind II: A synthesis of research on thinking and learning in the geosciences. Geological Society of America. https://doi.org/10.1130/2012.2486(01)
   Google Scholar
• Manduca, C. A., & Mogk, D. W. (Eds.). (2006). Earth and mind: How geologists think and learn about the earth. (Vol. 413). Geological Society of America.
   Google Scholar
• Manduca, C., Mogk, D., & Stillings, N. (2004). Briging research on learning to the geosciences, science education resource center. Carleton College Report, 1-28. Retrieved May 31, 2022, from https://serc.carleton.edu/files/research_on_learning/ROL0304_2004.pdf
   Google Scholar
• Matchus, E. J., & Jones, T. S. (1984). East-west cross section through Permian Basin of West Texas (MAP).
   Google Scholar
• Mayer, R. (2014). The Cambridge handbook of multimedia learning (2nd ed., pp. 23–265). Cambridge University Press.
   Google Scholar
• Mayer, R. E. (2020). Multimedia learning (3rd ed., pp. 3–33). Cambridge University Press.
   Google Scholar
• 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. https://doi.org/10.1016/j.jarmac.2021.03.007
   Web of Science ®Google Scholar
• Mayer, R. E., & Anderson, R. B. (1991). Animations need narrations: An experimental test of a dual-coding hypothesis. Journal of Educational Psychology, 83(4), 484–490. https://doi.org/10.1037/0022-0663.83.4.484
   Web of Science ®Google Scholar
• Mayer, R. 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
   Web of Science ®Google Scholar
• Mayer, R. E., Mathias, A., & Wetzell, K. (2002). Fostering understanding of multimedia messages through pre-training: Evidence for a two-stage theory of mental model construction. Journal of Experimental Psychology: Applied, 8(3), 147–154. https://doi.org/10.1037/1076-898X.8.3.147
   PubMed Web of Science ®Google Scholar
• Mayer, R. E., & Pilegard, C. (2014). Principles for managing essential processing in multimedia learning: Segmenting, pre-training, and modality principles. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning, (pp. 316–344). Cambridge University Press. https://doi.org/10.1017/CBO9781139547369.016
   Google Scholar
• McConnell, D. A., & van Der Hoeven Kraft, K. J. (2011). Affective domain and student learning in the geosciences. Journal of Geoscience Education, 59(3), 106–110. https://doi.org/10.5408/1.3604828
   Google Scholar
• McMartin, F., Iverson, E., Wolf, A., Morrill, J., Morgan, G., & Manduca, C. (2008). The use of online digital resources and educational digital libraries in higher education. International Journal on Digital Libraries, 9(1), 65–79. https://doi.org/10.1007/s00799-008-0036-y
   Google Scholar
• Mead, C., Buxner, S., Bruce, G., Taylor, W., Semken, S., & Anbar, A. D. (2019). Immersive, interactive virtual field trips promote science learning. Journal of Geoscience Education, 67(2), 131–142. https://doi.org/10.1080/10899995.2019.1565285
   Google Scholar
• Mikes, D. (2015). Geoscience education is outdated. South African Journal of Geology, 118(3), 299–301. https://doi.org/10.2113/gssajg.118.3.299
   Web of Science ®Google Scholar
• Milsom, J., & Eriksen, A. (2013). Field geophysics, fourth edition. Environmental & Engineering Geoscience, 19(2), 205–206. https://doi.org/10.2113/gseegeosci.19.2.205
   Google Scholar
• Mogk, D. W., & Goodwin, C. (2012). Learning in the field: Synthesis of research on thinking and learning in the geosciences. Geological Society of America Special Papers, 486(0), 131–163.
   Google Scholar
• Mosher, S., & Keane, C. (2021). Vision and change in the geosciences: The future of undergraduate geoscience education (p. 184).
   Google Scholar
• Mosher, S., Bralower, T., Huntoon, J., Lea, P., McConnell, D., Miller, K., & White, L. (2014). Future of undergraduate geoscience education (pp. 4–6). http://www.jsg.utexas.edu/events/files/Future_Undergrad_Geoscience_Summit_report.pdf
   Google Scholar
• Muller, D. A. (2008). Designing effective multimedia for physics education. University of Sydney.
   Google Scholar
• Muller, D. A., Sharma, M. D., Eklund, J., & Reimann, P. (2007). Conceptual change through vicarious learning in an authentic physics setting. Instructional Science, 35(6), 519–533. https://doi.org/10.1007/s11251-007-9017-6
   Web of Science ®Google Scholar
• Noetel, M., Griffith, S., Delaney, O., Sanders, T., Parker, P., del Pozo Cruz, B., & Lonsdale, C. (2021). Video improves learning in higher education: A systematic review. Review of Educational Research, 91(2), 204–236. https://doi.org/10.3102/0034654321990713
   Web of Science ®Google Scholar
• Paivio, A. (1991). Dual coding theory: Retrospect and current status. Canadian Journal of Psychology/Revue canadienne de psychologie, 45(3), 255–287. https://doi.org/10.1037/h0084295
   Web of Science ®Google Scholar
• Paivio, A., & Clark, J. M. (2006). Dual coding theory and education. Pathways to Literacy Achievement for High Poverty Children, 1–20.
   Google Scholar
• Plass, J. L., Heidig, S., Hayward, E. O., Homer, B. D., & Um, E. (2014). Emotional design in multimedia learning: Effects of shape and color on affect and learning. Learning and Instruction, 29, 128–140. https://doi.org/10.1016/j.learninstruc.2013.02.006
   Web of Science ®Google Scholar
• Plass, J. L., & Kaplan, U. (2016). Emotional design in digital media for learning. In Emotions, technology, design, and learning, (pp. 131–161). Academic Press. https://doi.org/10.1016/B978-0-12-801856-9.00007-4
   Google Scholar
• Ploetzner, R., & Lowe, R. (2012). A systematic characterisation of expository animations. Computers in Human Behavior, 28(3), 781–794. https://doi.org/10.1016/j.chb.2011.12.001
   Web of Science ®Google Scholar
• Ploetzner, R., Berney, S., & Bétrancourt, M. (2020). A review of learning demands in instructional animations: The educational effectiveness of animations unfolds if the features of change need to be learned. Journal of Computer Assisted Learning, 1(23), 1–23.
   Google Scholar
• Rasi, P. M., & Poikela, S. (2016). A review of video triggers and video production in higher education and continuing education PBL settings. Interdisciplinary Journal of Problem-Based Learning, 10(1). https://doi.org/10.7771/1541-5015.1609
   Google Scholar
• Renninger, K. A., & Hidi, S. E. (2019). The Cambridge handbook of motivation and learning (1st ed., pp. 265–288). Cambridge University Press. https://doi.org/10.1017/9781316823279
   Google Scholar
• Resnick, I., Kastens, K. A., & Shipley, T. F. (2018). How students reason about visualizations from large professionally collected data sets: A study of students approaching the threshold of data proficiency. Journal of Geoscience Education, 66(1), 55–76. https://doi.org/10.1080/10899995.2018.1411724
   Google Scholar
• Richards, J. B., & Shah, N. G. (2020). What ATS scholar looks for in an educational video. https://doi.org/10.34197/ats-scholar.2020-0157ED
   Google Scholar
• Roth, W.-M., & Bowen, G. M. (2001). Professionals read graphs: A semiotic analysis. Journal for Research in Mathematics Education, 32(2), 159–194. https://doi.org/10.2307/749672
   Web of Science ®Google Scholar
• Rule, A. C., & Auge, J. (2005). Using humorous cartoons to teach mineral and rock concepts in sixth grade science class. Journal of Geoscience Education, 53(5), 548–558. https://doi.org/10.5408/1089-9995-53.5.548
   Google Scholar
• Schmidt-McCormack, J. A., Muniz, M. N., Keuter, E. C., Shaw, S. K., & Cole, R. S. (2017). Design and implementation of instructional videos for upper-division undergraduate laboratory courses. Chemistry Education Research and Practice, 18(4), 749–762. https://doi.org/10.1039/C7RP00078B
   Web of Science ®Google Scholar
• Schneps, M. H., Griswold, A., Finkelstein, N., McLeod, C., & Schrag, D. P. (2010). Using video to build learning contexts online. Science, 328(5982), 1119–1120. https://doi.org/10.1126/science.1186934
   PubMed Web of Science ®Google Scholar
• Schnotz, W., & Bannert, M. (2003). Construction and interference in learning from multiple representation. Learning and Instruction, 13(2), 141–156. https://doi.org/10.1016/S0959-4752(02)00017-8
   Web of Science ®Google Scholar
• Schutz, P. A., & Pekrun, R. (Eds.). (2007). Emotion in education (pp. 348–360). Elsevier Academic.
   Google Scholar
• Schwartz, D. L. (1995). The emergence of abstract representations in dyad problem solving. Journal of the Learning Sciences, 4(3), 321e354. https://doi.org/10.1207/s15327809jls0403_3
   Web of Science ®Google Scholar
• Schwartz, D. L., & Hartman, K. (2007). It is not television anymore: Designing digital video for learning and assessment. In R. Goldman, R. Pea, B. Barron & S. J. Denny (Eds.), Video Research in the Learning Sciences (pp. 335–348). Routledge.
   Google Scholar
• Semken, S. (2005). Sense of place and place-based introductory geoscience teaching for American Indian and Alaska Native undergraduates. Journal of Geoscience Education, 53(2), 149–157. https://doi.org/10.5408/1089-9995-53.2.149
   Google Scholar
• Semken, S., Freeman, C. B., Watts, N. B., Neakrase, J. J., Dial, R. E., & Baker, D. R. (2009). Factors that influence sense of place as a learning outcome and assessment measure of place-based geoscience teaching. The Electronic Journal for Research in Science & Mathematics Education. 13(2), 137–159.
   Google Scholar
• Semken, S., Ward, E. G., Moosavi, S., & Chinn, P. W. (2017). Place-based education in geoscience: Theory, research, practice, and assessment. Journal of Geoscience Education, 65(4), 542–562. https://doi.org/10.5408/17-276.1
   Google Scholar
• Seraphin, K. D. (2014). Where are you from? Writing toward science literacy by connecting culture, person, and place. Journal of Geoscience Education, 62(1), 11–18. https://doi.org/10.5408/12-413.1
   Google Scholar
• Sigman, M., Dublin, R., Anderson, A., Deans, N., Warburton, J., Matsumoto, G. I., Dugan, D., & Harcharek, J. (2014). Using large marine ecosystems and cultural responsiveness as the context for professional development of teachers and scientists in ocean sciences. Journal of Geoscience Education, 62(1), 25–40. https://doi.org/10.5408/12-403.1
   Google Scholar
• Smith, A., Toor, S., & Van Kessel, P. (2018). Many turn to YouTube for children’s content, news, how-to lessons. Pew Research Centre.
   Google Scholar
• Spiro, R. J., & Jehng, J.-C. (1990). Cognitive flexibility and hypertext: Theory and technology for nonlinear and multi-dimensional traversal of complex subject matter. In D. Nix & R. J. Spiro (Eds.), Cognition, education and multi-media: Exploring ideas in high technology. LEA.
   Google Scholar
• St. John, K., McNeal, K. S., MacDonald, R. H., Kastens, K. A., Bitting, K. S., Cervato, C., McDaris, J. R., Petcovic, H. L., Pyle, E. J., Riggs, E. M., Ryker, K., Semken, S., & Teasdale, R. (2021). A community framework for geoscience education research: Summary and recommendations for future research priorities. Journal of Geoscience Education, 69(1), 2–13. https://doi.org/10.1080/10899995.2020.1779569
   Google Scholar
• Steer, D., Iverson, E. R., Egger, A. E., Kastens, K. A., Manduca, C. A., & McConnell, D. (2019). The InTeGrate materials development rubric: A framework and process for developing curricular materials that meet ambitious goals. In D. Gosselin, A. Egger, & J. Taber (Eds.), Interdisciplinary Teaching about Earth and the Environment for a Sustainable Future (pp. 25–43). AESS Interdisciplinary Environmental Studies and Sciences Series. Springer.
   Google Scholar
• Stern, R., Lieu, W., Mantey, A., Ward, A., Fechter, T., Farrar, E., McComber, S., & Windler, J. (2017). A new animation of subduction zone processes developed for the undergraduate and community college audience. Geosphere, 13(3), 628–643. https://doi.org/10.1130/GES01360.1
   Web of Science ®Google Scholar
• Stern, R. J., Ryan, J. G., Wang, N., Ricchezza, V., & Willis, S. (2020). Geoscience videos and animations: How to make them with your students, and how to use them in the classroom. GSA Today, 30(6), 42–43. https://doi.org/10.1130/GSATG451GW.1
   Google Scholar
• Sternberg, R. J., Sternberg, K., & Mio, J. (2012). Cognitive psychology (pp. 266–290). Cengage Learning Press.
   Google Scholar
• Stillings, N. (2012). Complex systems in the geosciences and in geoscience learning. In Earth and mind II: A synthesis of research on thinking and learning in the geosciences (Vol. 486, pp. 97–111). Geological Society of America Special Paper.
   Google Scholar
• Sutherland, A. E., Stickland, J., & Wee, B. (2020). Can video consultations replace face-to-face interviews? Palliative medicine and the Covid-19 pandemic: Rapid review. BMJ Supportive & Palliative Care, 10(3), 271–275. https://doi.org/10.1136/bmjspcare-2020-002326
   PubMed Web of Science ®Google Scholar
• Sweller, J., & Chandler, P. (1994). Why some material is difficult to learn. Cognition and Instruction, 12(3), 185–233. https://doi.org/10.1207/s1532690xci1203_1
   Web of Science ®Google Scholar
• Sweller, J., Van Merrienboer, J. J., & Paas, F. G. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251–296. https://doi.org/10.1023/A:1022193728205
   Web of Science ®Google Scholar
• Sweller, J., Van Merriënboer, J. J., & Paas, F. (2019). Cognitive architecture and instructional design: 20 years later. Educational Psychology Review, 31(2), 261–292. https://doi.org/10.1007/s10648-019-09465-5
   Web of Science ®Google Scholar
• Swirski, H., Baram-Tsabari, A., & Yarden, A. (2018). Does interest have an expiration date? An analysis of students’ questions as resources for context-based learning. International Journal of Science Education, 40(10), 1136–1153. https://doi.org/10.1080/09500693.2018.1470348
   Web of Science ®Google Scholar
• Tayne, K., Littrell, M. K., Okochi, C., Gold, A. U., & Leckey, E. (2021). Framing action in a youth climate change filmmaking program: Hope, agency, and action across scales. Environmental Education Research, 27(5), 706–726. https://doi.org/10.1080/13504622.2020.1821870
   Web of Science ®Google Scholar
• Thomson, A., Bridgstock, R., & Willems, C. (2014). “Teachers flipping out" beyond the online lecture: Maximising the educational potential of video. Journal of Learning Design, 7(3), 67–78. https://doi.org/10.5204/jld.v7i3.209
   Google Scholar
• Tversky, B., Morrison, J., & Bétrancourt, M. (2002). Animation: Can it facilitate? International Journal of Human-Computer Studies, 57(4), 247–262. https://doi.org/10.1006/ijhc.2002.1017
   Web of Science ®Google Scholar
• Urban, M. J., and Falvo, D. A. (Eds.). (2016). Improving K-12 STEM education outcomes through technological integration: IGI Global (Advances in early childhood and K-12 education). https://doi.org/10.4018/978-1-4666-9616-7
   Google Scholar
• Van Der Hoeven Kraft, K. J. (2017). Developing student interest: An overview of the research and implications for geoscience education research and teaching practice. Journal of Geoscience Education, 65(4), 594–603. https://doi.org/10.5408/16-215.1
   Google Scholar
• Van Der Hoeven Kraft, K. J., Srogi, L., Husman, J., Semken, S., & Fuhrman, M. (2011). Engaging students to learn through the affective domain: A new framework for teaching in the geosciences. Journal of Geoscience Education, 59(2), 71–84. https://doi.org/10.5408/1.3543934a
   Google Scholar
• Van Gog, T. (2014). 11 The signaling (or cueing) principle in multimedia learning. In R. Mayer & L. Fiorella (Eds.) The Cambridge handbook of multimedia learning (pp. 263–266). Cambridge University Press.
   Google Scholar
• Vega, V., & Robb, M. B. (2019). The Common Sense census: Inside the 21st-century classroom. Common Sense Media. 16–50.
   Google Scholar
• Wang, N., Clowdus, Z., Sealander, A., & Stern, R. (2022a). Geonews: Timely geoscience educational YouTube videos about recent geologic events. Geoscience Communication, 5(2), 125–142. https://doi.org/10.5194/gc-5-125-2022
   Google Scholar
• Wang, N., Stern, R. J., Urquhart, M. L., & Seals, K. M. (2022b). Google earth geoscience video library (GEGVL): Organizing geoscience videos in a google earth environment to support fieldwork teaching methodology in earth science. Geosciences, 12(6), 250. https://doi.org/10.3390/geosciences12060250
   Web of Science ®Google Scholar
• Wang, Y., McKee, M., Torbica, A., & Stuckler, D. (2019). Systematic literature review on the spread of health-related misinformation on social media. Social Science & Medicine (1982), 240, 112552. https://doi.org/10.1016/j.socscimed.2019.112552
   PubMed Web of Science ®Google Scholar
• Wetzel, C. D., Radtke, P. H., & Stern, H. W. (1994). Instructional effectiveness of video media (pp. 61–104). Lawrence Erlbaum Associates, Inc.
   Google Scholar
• Wiggen, J., & McDonnell, D. (2017). Geoscience videos and their role in supporting student learning. Journal of College Science Teaching, 046(06), 44–49. https://doi.org/10.2505/4/jcst17_046_06_44
   Google Scholar
• Wijnker, W., Bakker, A., van Gog, T., & Drijvers, P. (2019). Educational videos from a film theory perspective: Relating teacher aims to video characteristics. British Journal of Educational Technology, 50(6), 3175–3197. https://doi.org/10.1111/bjet.12725
   Web of Science ®Google Scholar
• Willis, S., Stern, R. J., Ryan, J., & Bebeau, C. (2021). Exploring best practices in geoscience education: Adapting a video/animation on continental rifting for upper division students to a lower division audience. Geosciences, 11(3), 140. https://doi.org/10.3390/geosciences11030140
   Web of Science ®Google Scholar
• Wilson, C. (2013). Status of recent geoscience graduates (pp. 10–24). American Geosciences Institute.
   Google Scholar
• Yeo, S. K., Su, L. Y.-F., Cacciatore, M. A., McKasy, M., & Qian, S. (2020). Predicting intentions to engage with scientific messages on Twitter: The roles of mirth and need for humor. Science Communication, 42(4), 481–507. https://doi.org/10.1177/1075547020942512
   Google Scholar
• Yousef, A. M. F., Chatti, M. A., Schroeder, U., & Wosnitza, M. (2014). What drives a successful MOOC? An empirical examination of ­criteria to assure design quality of MOOCs. 2014 IEEE 14th International Conference on Advanced Learning Technologies (pp. 44–48).
   Google Scholar
• Yow, D. M. (2014). Teaching introductory weather and climate using popular movies. Journal of Geoscience Education, 62(1), 118–125. https://doi.org/10.5408/13-014.1
   Google Scholar
• Zhang, X., Zhang, Q., McMechan, G. A., & Gonzalez, G. (2017). Multipathing in three‐parameter common‐image gathers from reverse‐time migration. Geophysical Prospecting, 65(3), 669–686. https://doi.org/10.1111/1365-2478.12411
   Web of Science ®Google Scholar
• Zhao, J., LaFemina, P., Carr, J., Sajjadi, P., Wallgrün, J. O., & Klippel, A. (2020). Learning in the field: Comparison of desktop, immersive virtual reality, and actual field trips for place-based STEM education. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (pp. 893–902). IEEE. https://doi.org/10.1109/VR46266.2020.00012
   Google Scholar