Samia Khan

Title

Associate Professor, Science Education, Department of Curriculum and Pedagogy, Faculty of Education

Faculty Associate, Institute for Resources, Environment, and Sustainability (IRES), Faculty of Science

Director, Master of Educational Technology (MET) Program, Faculty of Education (2021 – 2022)

Education

University of Massachusetts-Amherst, US

Biography

Samia Khan is an associate professor in science education with leadership experience in higher education. Prior to joining the faculty, she worked in the field of science as a scientist. Dr. Khan is a Canadian public school science teacher with a permanent teaching certificate and experience as a Department Head. With questions from practice, Dr. Khan pursued graduate education. Since at UBC, she has published in major international peer-reviewed journals, such as: Science Education; Science Teacher Education; Educational Technology Research and Development; Computers and Education, and Technology, Instruction, Cognition and Learning. She has also garnered substantial, continuous funding and been awarded the prestigious Prime Minister’s Award of Canada for Teaching Excellence in Science, Mathematics and Technology, the Association for Supervision and Curriculum Development Award, a UBC Research Award, and the Canadian Society for the Study of Education’s New Scholar Award for her research. Dr. Khan has served on the editorial review boards of major journals in education and science education: the Curriculum Journal, the Journal of Science Teacher Education, and the Journal of Research in Science Teaching. Dr. Khan recently delivered a keynote presentation at the International Science Educators and Teachers Conference (ISET, 2021). Dr. Khan’s work was recently cited in Tech Trends as top research that has shaped the field of educational technology and teacher education (Bakir, 2016). She is a former Director of the Master of Educational Technology (MET) program at UBC with over 430 graduate students enrolled.

Dr. Khan works internationally. Dr. Khan currently leads international research projects in Rwanda, Vietnam, Indonesia,  Thailand, and Scotland and has vibrant partnerships in Germany. Dr. Khan has also been an Associate Dean of Research and a Chair of Education of a School of Education and Social Work in the UK. She has consulted with governments in the UK on teacher education and STEM education policy, including the Academic Reference Committee at the Scottish Parliament (2017-2020) and the UK All Party Parliamentary Group on Diversity and Inclusion in STEM.

Dr. Khan is actively researching the following research questions with graduate students:

• How should we teach STEM, including to people from diverse backgrounds or those who have learning needs?
• What are the impacts of innovative teacher education and professional development on science teachers?
• How can digital technologies contribute to profound changes in learning and teaching at all stages?
• How can education support sustainability?

Dr. Khan has consistently achieved national funding and welcomes future collaborations with graduate students who wish to do R and D on modeling, cognition, computer simulations, science teacher education, k-16 science education, online education, learning issues, sustainability, case study methodologies or knowledge mobilization.

Recent Publications

Krell, M., Khan, S., Vergara, C., Cofré, H., Mathesius, S., & Krüger, D. (2023). Pre-service science teachers’ scientific reasoning competencies: Analysing the impact of contributing factors. Research in Science Education, 53(1), 59-79.

Khan, S. & VanWynsberghe, R. (2023). STEM funds of knowledge in community. In. P. Trifonis & S. Jagger (Eds.), Handbook of Curriculum Theory and Research. Springer International Handbooks of Education. Springer-Verlaag.

Bowen, G. M., Wiseman, D., Shanahan, M.-C., Khan, S., Gonsalves, A., Sengupta, P., Simms, W., Knoll, E., Carter, A. (2023). STEM in Canadian teacher education: An overview. In, Al-Balushi, S.M., Martin-Hansen, L., & Song, Y. (Eds.) Reforming Science Teacher Education Programs in the STEM Era: International Practices, Palgrave Macmillan.

Nguyen, K., van Nguyen, B., Khan, S., Faikhamta, C., & el-Islami, Z. (2023, in press). Impacts of method courses on Vietnamese pre-service teachers perceptions and practices: From the perspectives of model and modeling in STEM education. Proceedings of the World Conference on Physics Education.

Tani, M., Manuguerra, M., & Khan, S. (2022). Can videos affect learning outcomes? Evidence from an actual learning environment. Educational Technology Research and Development, 70(5), 1675-1693.

Islami E. Zaky*, Xue, S. *, Sari, I. J. *, Khwaengmake, V. *, Khan, S., Van Nguyen, B., Faikhamta, C., Nguyen, K., & Prasoplarb, T*. (2022). A comparison of school science curricula of Indonesia, Vietnam, and Thailand. Asia- Pacific Social Science Review, 22(2), 63-82.

Rock, T. & Khan, S. (2022). A Whiteheadian process perspective on model-based science teaching. In, F. Riffert & V. Petrov (Eds.) Education and Learning in a World of Accelerated Growth in Knowledge Generation-Current Trends in Process Thought. Cambridge Scholars Publishing, Newcastle, UK, 1-26.

Khan, S., & Krell, M. (2021). Patterns of scientific reasoning skills among pre-service science teachers: A latent class analysis. Education Sciences, 11(10), 647-656.

Krell, M., Khan, S., & van Driel, J. (2021). Analyzing cognitive demands of a scientific reasoning test using the Linear Logistic Test Model (LLTM). Education Sciences, 11(9), 472-488.

Khan, S., & VanWynsberghe, R. (2020). A synthesis of the research on community service learning in preservice science teacher education. In Frontiers in Education, 5(45), 1-13.

Khan, S., & Krell, M. (2019). Scientific reasoning competencies: A case of preservice teacher education. Canadian Journal of Science, Mathematics and Technology Education, 19(4), 446-464.

Piantola, M., Café, R., Carolina, A., Taschner, N., Matielo, H., Cavalcante, R., & Khan, S. (2018). Adopt a Bacterium: An active and collaborative learning experience in microbiology based on social media. Brazilian Journal of Microbiology, 49(2018), 942-948.

Maddison, J. A.*, Kržić, M., Simard, S., Adderly, C., & Khan, S. (2018). Shroomroot: An action-based digital game to enhance postsecondary teaching and learning about Mycorrhizae. The American Biology Teacher, 80(1), 11-20.

Khan, N., Bacon, S. L., Khan, S., Perlmutter, S., Gerlinsky, C., Dermer, M., & Pui, M. (2017). Hypertension management research priorities from patients, caregivers, and healthcare providers: a report from the hypertension Canada priority setting partnership group. The Journal of Clinical Hypertension, 19(11), 1063- 1069.

Khan, S., Meyers, E., Gowen, E.*, & Bergman, K.* (2015). I learned that online: A study of science teachers and new forms of professional development. In M.S. Khine (Ed.), New directions in, Technological and Pedagogical Content Knowledge Research Multiple perspectives. Charlotte, NC: Information Age Publishing.

Khan, S., Meyers, E., Gowen, E.*, & Bergman, K.* (2014). Online information seeking and knowledge sharing practices of science teachers. Proceedings of the American Society for Information Science and Technology, 51(1), 1-4.

Baran, E. & Khan, S. (2014). Going mobile in science teacher education. In C. Miller & A. Doering (Eds.), The new landscape of mobile learning: Re-designing education in an app-based world, Minnesota: Routledge.

Khan, S. (2013). The future of design of computer simulations and their activities. In J. Suits & M. Sanger (Eds.), Pedagogic roles of animations and simulations in chemistry courses, Washington: Oxford University Press.

Khan, S. (2012). A Hidden “GEM”: A pedagogical approach to using technology to teach global warming. The Science Teacher, 79(8), 59-62.

Khan, S. (2011). What’s missing in model-based teaching? Journal of Science Teacher Education, 22(6), 535- 560.

Khan, S. & Chan, V*. (2011). An exploration of digital representations in chemistry education. Journal of the Research Center for Educational Technology, 7(2), 2-38.

Khan, S. (2011). New pedagogies on teaching science with computer simulations. Journal of Science Education and Technology, 20(3), 215-232.

Park, H.*, Khan, S., & Petrina, S. (2009). ICT in Science Education: A quasi-experimental study of achievement, attitudes toward science, and career aspirations of Korean middle school students. International Journal of Science Education, 31(8), 993-1012.

Mirzaee, V.* & Khan, S. (2009). 4C: A Web2.0 case study analysis tool. In T. Bastiaens et al. (Eds.), Proceedings of the World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2009. Chesapeake, VA, pp. 976-985.

Chan, V.*, & Khan, S. (2009). Dynamic computer analogies and conceptions of chemical equilibrium. In T. Bastiaens et al. (Eds.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2009. Chesapeake, VA, pp. 864-873.

Khan, S. (2008). Mentorship of college women in science. Journal on Excellence in College Teaching,19(1), 81- 101.

Khan, S. (2008). Model-based teaching as a source of insight for the design of a viable science simulation. Technology, Instruction, Cognition, and Learning,6(2),63-78.

Trey, L.*, & Khan, S. (2008). How science students can learn about unobservable phenomena using computer- based analogies. Computers & Education, 51(2), 519-529.

Khan, S. & VanWynsberghe, R. (2008). Cultivating the under-mined: Knowledge mobilization through cross-case analysis. Forum: Qualitative Social Research, 9(1,34), 1-21.

Khan, S. (2008). Co-construction and model evolution in chemistry. In J. Clement and M. Rea-Ramirez (Eds.), Model based learning and instruction in science (pp. 59-78). Netherlands: Springer.

Khan, S. (2008). What if scenarios for testing student models in chemistry. In J. Clement and M. Rea- Ramirez (Eds.), Model based learning and instruction in science (pp. 139-150). Netherlands: Springer.

Khan, S. (2007). The case in case-based design of educational software: A methodological interrogation. Educational Technology Research and Development, 56(4), 423-447.

Khan, S. (2007). Model-based inquiries in chemistry. Science Education, 91(6), 877-905.

VanWynsberghe, R. & Khan, S. (2007). Redefining case study. International Journal of Qualitative Methods, 6(2,6), 1-10.

VanWynsberghe, R, Carmichael, J. & Khan. S. (2007). Conceptualizing sustainability: Simulating concrete possibilities in an imperfect world. Local Environment,12(3), 279- 293.

Khan, S. (2005). Teaching strategies designed to change the undergraduate experience for college women learning chemistry. Journal of Women and Minorities in Science and Engineering,11(4), 365-389.

Khan, S. (2005). Listservs in the college science classroom: Evaluating participation and “richness” in computer- mediated discourse. Journal of Technology and Teacher Education,13(2), 425-451.

Spier-Dance, L.*, Mayer-Smith, J., Dance, N., & Khan, S. (2005). The role of student generated analogies in promoting conceptual understanding for undergraduate chemistry students. Research in Science and Technological Education, 23(2), 163-178.

Trey, L.* & Khan, S. (2005). Integrating computer simulations into chemistry classrooms: An interactive approach for learning Le Châtelier’s principle. In Proceedings of E-Learn 2005, World Conference on E- Learning in Corporate, Government, Healthcare, and Higher Education, Vancouver, pp. 1-5.

Sprague, D.*, Trey, S.*, Pillay, S.*, & Khan, S. (2005). How computer simulations can assist model generation in students: Encouraging students to think before they click. In Proceedings of the ED- MEDIA 2005, World Conference on Educational Multimedia, Hypermedia & Telecommunications, Montreal, Canada, pp. 1-8.

Spier-Dance, L.*, Khan, S., & Dance, N. (2005). The role of textbooks as affecters of conceptual understanding in introductory chemistry courses. In Proceedings of National Association for Research in Science Teaching (NARST), Dallas, TX, pp.1-28.

Jeffrey, P.* & Khan, S. (2005). Chemistry simulations and embodied cognition: Exploring design, model generation, and collaboration. In Proceedings of the Computer Human Interaction (CHI) Conference, Portland, OR, pp. 1-5.

Nunez, M., Rea- Ramirez, M., Clement, J., & Khan, S. (2005). Coordinating teaching strategies to produce model-based learning across science subjects. In Proceedings of the Association for the Education of Teachers of Science (AETS) 2003-2004 Annual International Conference, CO, pp. 1-22.

Khan, S. (2004). Student construction of visualizable models in chemistry: Teacher guidance strategies. In Proceedings of the 18th International Conference on Chemical Education (ICCE), Istanbul, pp. 97.

Khan, S., Rea-Ramirez, M., & Izumi, A*. (2004). Instructor scaffolded model construction and model- based reasoning in a college introductory biology class. In Proceedings of the Annual Meeting of the National Association for Research in Science Teaching (NARST), Vancouver, BC, pp. 1-21.

Rea-Ramirez, M., Khan, S. Else, M.,* & Clement, J. (2004). Using instructor scaffolded model construction and model-based reasoning to teach a pre-service teachers methods course in biology. In Proceedings of the Association for the Education of Teachers of Science (AETS) 2003-2004 Annual International Conference, Nashville, TN, pp. 1-30.

Khan, S. (2003). Model construction processes in a chemistry class. In Proceedings of the Annual Meeting of the National Association for Research in Science Teaching (NARST), Philadelphia, pp.1-36.

Yuretich, R., Khan, S., Leckie, M., Clement, J. (2001). Active-learning methods to improve student performance and scientific interest in a large introductory oceanography course. Journal of Geoscience Education,49(2), 111- 119.

Murray, T., Piemonte, J., Khan, S., Shen, T., & Condit, C. (2000). Evaluating the need for intelligence in an adaptive hypermedia system. In Proceedings of Intelligent Tutoring Systems (ITS) 5th International Conference. Montreal, Canada, pp. 373-382.

Murray, T., Condit, C., Piemonte, J., Shen, T., & Khan, S. (1999). MetaLinks–A framework and authoring tool for adaptive hypermedia. In Proceedings of Artificial Intelligence in Education (AIED), Le Mans, France, pp. 744-746.

*student