Authentic science experiences with STEM datasets: post-secondary results and potential gender influences

References

• Abello, J., P. Pardalos, and M. Resende, Eds. 2002. Handbook of Massive Data Sets. 1st ed. Dordrecht: Kluwer Academic Publishers.
   Google Scholar
• Achieve. 2010a. Connecting Science Standards with Assessment: A Snapshot of Three Countries’ Approaches - England, Hong Kong, and Canada (Ontario). USA: Achieve. https://www.achieve.org/publications/connecting-science-standards-assessment
   Google Scholar
• Achieve. 2010b. International Science Benchmarking Report: Taking the Lead in Science Education: Forging Next-generation Science Standards. USA: Achieve. https://www.nextgenscience.org/international-benchmarking
   Google Scholar
• Anderson, J. O., H. S. Lin, D. F. Treagust, S. P. Ross, and L. D. Yore. 2007. “Using Large-scale Assessment Datasets for Research in Science and Mathematics Education: Programme for International Student Assessment (PISA).” International Journal of Science and Mathematics Education 5 (4): 591–614. doi:10.1007/s10763-007-9090-y.
   Google Scholar
• Bailey, J. M. 2011. Astronomy Education Research: Developmental History of the Field and Summary of the Literature. Las Vegas, NV: National Research Council Board on Science Education.
   Google Scholar
• Berg, C., and S. Boote. 2017. “Format Effects of Empirically Derived Multiple-choice versus Free-response Instruments When Assessing Graphing Abilities.” International Journal of Science and Mathematics Education 15 (1): 19–38. doi:10.1007/s10763-015-9678-6.
   Web of Science ®Google Scholar
• Bergstrom, Z., and P. Sadler. 2016. “Evolution and Persistence of Students’ Astronomy Career Interests: A Gender Study.” Journal of Astronomy & Earth Sciences Education 3 (1): 77–92.
   Web of Science ®Google Scholar
• Bransford, J. D., A. L. Brown, and R. R. Cocking. 2000. How People Learn: Mind, Brain, Experience, and School. Washington, DC: National Academies Press.
   Google Scholar
• Brickhouse, N. W., P. Lowery, and K. Schultz. 2000. “What Kind of Girl Does Science?: The Construction of School Science Identities.” Journal of Research in Science Teaching 37 (5): 441–458. doi:10.1002/(SICI)1098-2736(200005)37:5<441::AID-TEA4>3.0.CO;2-3.
   Web of Science ®Google Scholar
• Brothen, T. 1984. “Three Computer-assisted Laboratory Exercises for Introductory Psychology.” Teaching of Psychology 11 (2): 105–107. doi:10.1207/s15328023top1102_14.
   Web of Science ®Google Scholar
• Brunner, R. J., S. G. Djorgovski, T. A. Prince, and A. S. Szalay. 2002. “Massive Datasets in Astronomy.” In Handbook of Massive Data Sets, edited by J. Abello, P. M. Pardalos, and M. G. Resende, 931–979. 1st ed. Dordrecht: Kluwer Academic Publishers.
   Google Scholar
• Burrows, A., M. Lockwood, M. Borowczak, E. Janak, and B. Barber. 2018. “Integrated Stem: Focus on Informal Education and Community Collaboration Through Engineering.” Education Sciences 8 (1): 1–4. doi:10.3390/educsci8010004.
   Web of Science ®Google Scholar
• Burrows, A. C. 2015. “Partnerships: A Systemic Study of Two Professional Developments with University Faculty and K-12 Teachers of Science, Technology, Engineering, and Mathematcs.” Problems of Education in the 21st Century 65: 28–38.
   Google Scholar
• Burrows, A. C., M. A. DiPompeo, A. D. Myers, R. C. Hickox, M. Borowczak, D. A. French, and A. C. Schwortz. 2016. “Authentic Science Experiences: Pre-Collegiate Science Educators Successes and Challenges During Professional Development.” Problems of Education in the 21st Century 70: 59–73.
   Google Scholar
• Busch, T. 1996. “Gender, Group Composition, Cooperation, and Self-Efficacy in Computer Studies.” Journal of Educational Computing Research 15 (2): 125–135. doi:10.2190/KQJL-RTW1-VVUY-BHLG.
   Web of Science ®Google Scholar
• Carey, C. C., and R. D. Gougis. 2017. “Simulation Modeling of Lakes in Undergraduate and Graduate Classrooms Increases Comprehension of Climate Change Concepts and Experience with Computational Tools.” Journal of Science Education and Technology 26 (1): 1–11. doi:10.1007/s10956-016-9644-2.
   Web of Science ®Google Scholar
• Cheruvelil, K., and P. Soranno. 2018. “Data-intensive Ecological Research Is Catalyzed by Open Science and Team Science.” BioScience 68 (10): 813–822. doi:10.1093/biosci/biy097.
   Web of Science ®Google Scholar
• Cheung, A., R. E. Slavin, E. Kim, and C. Lake. 2017. “Effective Secondary Science Programs: A Best-evidence Synthesis.” Journal of Research in Science Teaching 54 (1): 58–81. doi:10.1002/tea.21338.
   Web of Science ®Google Scholar
• Cohen, J. 1977. Statistical Power Analysis for the Behavioral Sciences. New York, NY: Academic Press.
   Google Scholar
• Creswell, J. W. 2013. Qualitative Inquiry & Research Design: Choosing among Five Approaches. Los Angeles, CA: Sage Publications.
   Google Scholar
• Danaia, L., D. H. McKinnon, and M. Fitzgerald. 2017. “Ideal Pictures and Actual Perspectives of Junior Secondary School Science: Comparisons Drawn from Australian Students in an Astronomy Education Programme.” Research in Science & Technological Education. 35 (4): 445–460. doi:10.1080/02635143.2017.1344959.
   Web of Science ®Google Scholar
• Day, J., J. B. Stang, N. G. Holmes, D. Kumar, and D. A. Bonn. 2016. “Gender Gaps and Gendered Action in a First-year Physics Laboratory.” Physical Review Physics Education Research 12 (2): 1–14. doi:10.1103/PhysRevPhysEducRes.12.020104.
   Web of Science ®Google Scholar
• Eymur, G., and Ö. Geban. 2017. “The Collaboration of Cooperative Learning and Conceptual Change: Enhancing the Students’ Understanding of Chemical Bonding Concepts.” International Journal of Science and Mathematics Education 15 (5): 853–871. doi:10.1007/s10763-016-9716-z.
   Web of Science ®Google Scholar
• Gültepe, N. 2016. “Reflections on High School Students’ Graphing Skills and Their Conceptual Understanding of Drawing Chemistry Graphs.” Kuram Ve Uygulamada Egitim Bilimleri 16 (1): 53–81.
   Google Scholar
• Hake, R. 1998. “Interactive-engagement versus Traditional Methods: A Six-thousand-student Survey of Mechanics Test Data for Introductory Physics Courses.” American Journal of Physics 66 (1): 64–74. doi:10.1119/1.18809.
   Web of Science ®Google Scholar
• Hampton, S. E., M. B. Jones, L. A. Wasser, M. P. Schildhauer, S. R. Supp, J. Brun, and R. R. Hernandez. 2017. “Skills and Knowledge for Data-intensive Environmental Research.” BioScience 67 (6): 546–557. doi:10.1093/biosci/bix025.
   PubMed Web of Science ®Google Scholar
• Harris, C. J., W. R. Penuel, C. M. D'Angelo, A. H. DeBarger, L. P. Gallagher, C. A. Kennedy, B. H. Cheng, and J. S. Krajcik. 2015. “Impact of Project-Based Curriculum Materials on Student Learning in Science: Results of a Randomized Controlled Trial.” Journal of Research in Science Teaching 52 (10): 1362–1385.
   Google Scholar
• Hecker, S., M. Haklay, A. Bowser, Z. Makuch, J. Vogel, and A. Bonn. 2018. Citizen Science: Innovation in Open Science, Society and Policy. London: UCL Press. https://www.wilsoncenter.org/sites/default/files/book_downloads/citizen-science.pdf
   Google Scholar
• Hellgren, S., and S. Lindberg. 2017. “Motivating Students with Authentic Science Experiences: Changes in Motivation for School Science.” Research in Science & Technological Education 35 (4): 409–426. doi:10.1080/02635143.2017.1322572.
   Web of Science ®Google Scholar
• Hill, C., C. Corbett, and A. St. Rose. 2010. Why so Few?: Women in Science, Technology, Engineering, and Mathematics. Washington, DC: American Association of University Women.
   Google Scholar
• Hubwieser, P., M. N. Giannakos, M. Berges, T. Brinda, I. Diethelm, J. Magenheim, Y. Pal, J. Jackova, and E. Jasute. 2015. “A Global Snapshot of Computer Science Education in K-12 Schools.” In Proceedings of the 2015 ITiCSE on Working Group Reports (ITICSE-WGR ‘15), 65–83. New York, NY: ACM. doi: 10.1145/2858796.2858799.
   Google Scholar
• Jackson, D. F., B. J. Edwards, and C. F. Berger. 1993. “Teaching the Design and Interpretation of Graphs through Computer-aided Graphical Data Analysis.” Journal of Research in Science Teaching 30 (5): 483–501. doi:10.1002/tea.3660300507.
   Web of Science ®Google Scholar
• Johri, A., and B. M. Olds. 2014. Cambridge Handbook of Engineering Education Research. New York, NY: Cambridge University Press.
   Google Scholar
• Kobulnicky, H., and D. Dale. 2016. “A Community Mentoring Model for STEM Undergraduate Research Experiences.” Journal of College Science Teaching 45 (6): 17–23. doi:10.2505/4/jcst16_045_06_17.
   Google Scholar
• Krathwohl, D. R. 2010. “A Revision of Bloom’s Taxonomy: An Overview.” Theory into Practice 41 (4): 212–218. doi:10.1207/s15430421tip4104_2.
   Web of Science ®Google Scholar
• Kutnick, P., D. C. L. Fung, I. A. C. Mok, F. K. S. Leung, J. C. H. Li, B. P.-Y. Lee, and V. K. W. Lai. 2017. “Implementing Effective Group Work for Mathematical Achievement in Primary School Classrooms in Hong Kong.” International Journal of Science and Mathematics Education 15 (5): 957–978. doi:10.1007/s10763-016-9729-7.
   Web of Science ®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): 1–12. doi:10.3389/fpsyg.2013.00863.
   PubMed Web of Science ®Google Scholar
• Langen, T. A., T. Mourad, B. W. Grant, W. K. Gram, B. J. Abraham, D. S. Fernandez, M. Carroll et al. 2014. “Using Public Large Datasets in the Undergraduate Ecology Classroom.” Frontiers in Ecology and the Environment 12 (6): 362. doi:10.1890/1540-9295-12.6.362.
   Web of Science ®Google Scholar
• Lee, M. 1993. “Gender, Group Composition, and Peer Interaction in Computer-Based Cooperative Learning.” Journal of Educational Computing Research 9 (4): 549–577. doi:10.2190/VMV1-JCVV-D9GA-GN88.
   Web of Science ®Google Scholar
• Lelliott, A., and M. Rollnick. 2010. “Big Ideas: A Review of Astronomy Education Research 1974–2008.” International Journal of Science Education 32 (13): 1771–1799. doi:10.1080/09500690903214546.
   Web of Science ®Google Scholar
• Leskovec, J., A. Rajaraman, and J. D. Ullman. 2011. Mining of Massive Datasets. 1st ed. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Lutsky, N. 1986. “Undergraduate Research Experience through the Analysis of Data Sets in Psychology Courses.” Teaching of Psychology 13 (3): 119–122. doi:10.1207/s15328023top1303_4.
   Web of Science ®Google Scholar
• Microsoft Corporation. 2017. Why Europe’s Girls aren’t Studying STEM. Microsoft Philanthropies.
   Google Scholar
• National Academies of Sciences, Engineering, and Medicine (NAS). 2018a. Open Source Software Policy Options for NASA Earth and Space Sciences. Washington, DC: National Academies Press. doi:10.17226/25217.
   Google Scholar
• National Academies of Sciences, Engineering, and Medicine (NAS). 2018b. Sexual Harassment in Academia. Washington, DC: National Academies Press. doi:10.17226/24994.
   Google Scholar
• National Governors Association Center for Best Practices, Council of Chief State School Officers (CCSS). 2010. Common Core State Standards Math. Washington DC: National Governors Association Center for Best Practices, Council of Chief State School Officers.
   Google Scholar
• National Research Council. 2010. New Worlds, New Horizons in Astronomy and Astrophysics. Washington, D.C. http://sites.nationalacademies.org/bpa/bpa_049810
   Google Scholar
• NGSS Lead States. 2013. Next Generation Science Standards: For States, by States. Washington, DC: National Academies Press.
   Google Scholar
• Nieminen, P., A. Savinainen, and J. Viiri. 2013. “Gender Differences in Learning of the Concept of Force, Representational Consistency, and Scientific Reasoning.” International Journal of Science and Mathematics Education 11 (5): 1137–1156. doi:10.1007/s10763-012-9363-y.
   Web of Science ®Google Scholar
• Nissen, J. M., and J. T. Shemwell. 2016. “Gender, Experience, and Self-efficacy in Introductory Physics.” Physical Review Physics Education Research 12 (2): 1–16. doi:10.1103/PhysRevPhysEducRes.12.020105.
   Web of Science ®Google Scholar
• Nissen, J. M., R. M. Talbot, A. N. Thompson, and B. Van Dusen. 2018. “Comparison of Normalized Gain and Cohen’s D for Analyzing Gains on Concept Inventories.” Physical Review Physics Education Research 14 (1): 010115. doi:10.1103/PhysRevPhysEducRes.14.010115.
   Web of Science ®Google Scholar
• Nyhof-Young, J. 2000. “The Political Is Personal: Reflections on Facilitating Action Research in Gender Issues in Science Education.” Educational Action Research 8 (3): 471–498. doi:10.1080/09650790000200134.
   Google Scholar
• Nyström, E. 2007. “Exclusion in an Inclusive Action Research Project: Drawing on Student Perspectives of School Science to Identify Discourses of Exclusion.” Educational Action Research 15 (3): 417–440. doi:10.1080/09650790701549693.
   Google Scholar
• Raddick, M. J., G. Bracey, P. L. Gay, C. J. Lintott, P. Murray, K. Schawinski, A. S. Szalay, and J. Vandenberg. 2010. “Galaxy Zoo: Exploring the Motivations of Citizen Science Volunteers.” Astronomy Education Review 9 (1): 1–18. doi:10.3847/AER2009036.
   Google Scholar
• Resnick, I., K. A. Kastens, and T. F. Shipley. 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. doi:10.1080/10899995.2018.1411724.
   Google Scholar
• Scantlebury, K., and D. Baker. 2013. “Gender Issues in Science Education Research: Remembering Where The Difference Lies.” In Handbook of Research on Science Education, edited by, 1. Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Schneider, D. P., P. B. Hall, G. T. Richards, M. A. Strauss, D. E. Vanden Berk, S. F. Anderson, and W. N. Brandt. 2007. “The Sloan Digital Sky Survey Quasar Catalog. IV. Fifth Data Release.” The Astronomical Journal 134 (1): 102–117. doi:10.1086/518474.
   Web of Science ®Google Scholar
• Schwamb, M. E., J. A. Orosz, J. A. Carter, W. F. Welsh, D. A. Fischer, G. Torres, and A. W. Howard. 2013. “Planet Hunters: A Transiting Circumbinary Planet in A Quadruple Star System.” The Astrophysical Journal 768 (2): 127–148. doi:10.1088/0004-637X/768/2/127.
   Web of Science ®Google Scholar
• Scott, S., H. Asoko, and J. Leach. 2007. “Student Conceptions and Conceptual Learning in Science.” In Handbook of Research on Science Education, edited by S. Abell and N. Lederman, 31–56. Vol. 1. Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Shen, Y., G. T. Richards, M. A. Strauss, P. B. Hall, D. P. Schneider, S. Snedden, D. Bizyaev, et al. 2011. “A Catalog of Quasar Properties from Sloan Digital Sky Survey Data Release 7.” The Astrophysical Journal Supplement Series 194 (2): 45. doi:10.1088/0067-0049/194/2/45.
   Web of Science ®Google Scholar
• Slavin, R. 2020. “How Evidence-based Reform Will Transform Research and Practice in Education.” Educational Psychologist 55 (1): 21–31.
   Web of Science ®Google Scholar
• Slavin, R. E., C. Lake, P. Hanley, and A. Thurston. 2014. “Experimental Evaluations of Elementary Science Programs: A Best-evidence Synthesis.” Journal of Research in Science Teaching 51 (7): 870–901. doi:10.1002/tea.21139.
   Web of Science ®Google Scholar
• Snyder, T., and S. Dillow. 2011. Digest of Education Statistics, 2010. Washington, DC: National Center for Education Statistics.
   Google Scholar
• Spuck, T. 2014. “Putting the “Authenticity” into Science Learning.” In Einstein Fellows: Best Practices in STEM Education, edited by T. Spuck and J. Leigh, 118–157. New York, NY: Peter Lang.
   Google Scholar
• Sullivan, G. M., and R. Feinn. 2012. “Using Effect Size – Or Why the P Value Is Not Enough.” Journal of Graduate Medical Education 4 (3): 279–282. doi:10.4300/JGME-D-12-00156.1.
   PubMedGoogle Scholar
• Tekkumru-Kisa, M., C. Schunn, M. K. Stein, and B. Reynolds. 2019. “Change in Thinking Demands for Students across the Phases of a Science Task: An Exploratory Study.” Research in Science Education 49 (3): 859–883. doi:10.1007/s11165-017-9645-z.
   Web of Science ®Google Scholar
• Türk, C., and H. Kalkan. 2018. “Teaching Seasons with Hands-on Models: Model Transformation.” Research in Science & Technological Education 36 (3): 324–352.
   Web of Science ®Google Scholar
• Vygotsky, L. S. 1978. Mind in Society: The Development of Higher Mental Process. Cambridge, MA: Harvard College Press.
   Google Scholar
• Wallace, R. M., J. Kupperman, J. Krajcik, and E. Soloway. 2000.0 “Science on the Web: Students Online in a Sixth-grade Classroom.” The Journal of the Learning Sciences 9 (1): 75–104. doi:10.1207/s15327809jls0901_5.
   Web of Science ®Google Scholar
• Weintrop, D., E. Beheshti, M. Horn, K. Orton, K. Jona, L. Trouille, and U. Wilensky. 2015. “Defining Computational Thinking for Mathematics and Science Classrooms.” Journal of Science Education and Technology 25 (1): 127–147. doi:10.1007/s10956-015-9581-5.
   Web of Science ®Google Scholar
• Westwood, P. 2001. “Differentiation’ as a Strategy for Inclusive Classroom Practice: Some Difficulties Identified.” Australian Journal of Learning Disabilities 6 (1): 5–11. doi:10.1080/19404150109546651.
   Google Scholar
• Whitten, I. H., E. Frank, and M. A. Hall. 2011. Data Mining: Practical Machine Learning Tools and Techniques. 3rd ed. Burlington, MA: Morgan Kaufmann.
   Google Scholar
• Wilcox, B. R., and H. J. Lewandowski. 2016. “Open-ended versus Guided Laboratory Activities: Impact on Students’ Beliefs about Experimental Physics.” Physical Review Physics Education Research 12 (2). doi:10.1103/PhysRevPhysEducRes.12.020132.
   Web of Science ®Google Scholar