ABSTRACT
Problem. Educational research identifies answerable questions, but often does not address the problems K-12 teachers identify as important. Further, academic research findings can be difficult for teachers to apply to their practices and unique contexts. Currently, little research exists on the lived experiences of primary and secondary instructors who teach computer science (CS) or computational thinking (CT) and also on the specific problems of practice teachers face when teaching CS.
Research Question. What problems of practice do K-12 teachers face when teaching CS/CT?
Method. Data for this qualitative study was collected using an online questionnaire distributed to teachers internationally. CS/CT teachers responded to an open-ended prompt asking for problems related to teaching CS. The data was analyzed using descriptive first-round coding and focused second-round coding. Validity was established through collaborative coding. Analysis was theorized using locus of control.
Findings. Problems with students encompassed behavioral, cognitive, and attitudinal issues, as well as lack of home support or resources. Teachers identified many problems of policy notably stemming from lack of resources or support from administrators. A smaller number of challenges, such as lack of content knowledge, were situated within teachers themselves. While some problems such as student motivation are general, a number of responses identified unique challenges in CS education compared to other disciplines.
Implications. Identifying problems faced by teachers can guide professional development offerings, help researchers develop studies that would result in meaningful improvement to CS education, and suggest policy decisions which would result in better outcomes for students.
- Tehreem Anwar, Arturo Jimenez, Arsalan Bin Najeeb, Bishakha Upadhyaya, and Monica M McGill. 2020. Exploring the Enacted Computing Curriculum in K-12 Schools in South Asia: Bangladesh, Nepal, Pakistan, and Sri Lanka. In Proceedings of the 2020 ACM Conference on International Computing Education Research. 79–90.Google ScholarDigital Library
- Miriam Babichenko, Aliza Segal, and Christa SC Asterhan. 2021. Associations between problem framing and teacher agency in school-based workgroup discussions of problems of practice. Teaching and Teacher Education 105 (2021), 103417.Google ScholarCross Ref
- Miriam Babichenko, Aliza Segal, and Christa S.C. Asterhan. 2021. Associations between problem framing and teacher agency in school-based workgroup discussions of problems of practice. Teaching and Teacher Education 105 (2021), 103417. https://doi.org/10.1016/j.tate.2021.103417Google ScholarCross Ref
- Andrew Begel and Thomas Zimmermann. 2014. Analyze this! 145 questions for data scientists in software engineering. Proceedings - International Conference on Software Engineering1 (2014), 12–23. https://doi.org/10.1145/2568225.2568233Google ScholarDigital Library
- Jennifer Garvey Berger, Katherine C Boles, and Vivian Troen. 2005. Teacher research and school change: Paradoxes, problems, and possibilities. Teaching and teacher education 21, 1 (2005), 93–105.Google Scholar
- Susan M Brookhart and William E Loadman. 1992. School-University Collaboration and Perceived Professional Rewards.Journal of Research in Education 2, 1 (1992), 68–76.Google Scholar
- Carnegie Project on the Education Doctorate (CPED). 2021. The CPED Framework. https://www.cpedinitiative.org/Google Scholar
- Paul Cobb and Kara Jackson. 2012. Analyzing educational policies: A learning design perspective. Journal of the Learning Sciences 21, 4 (2012), 487–521.Google ScholarCross Ref
- Cynthia E Coburn, William R Penuel, and Kimberly E Geil. 2013. Practice Partnerships: A Strategy for Leveraging Research for Educational Improvement in School Districts.William T. Grant Foundation(2013).Google Scholar
- Code with Google and Gallup. 2020. Current Perspectives and Continuing Challenges in Computer Science Education in U.S. K-12 Schools. (2020).Google Scholar
- Onno De Jong. 2004. Mind your step: Bridging the research-practice gap. Australian Journal of Education in Chemistry 64 (2004), 5–9.Google Scholar
- Paul Denny, Brett A Becker, Michelle Craig, Greg Wilson, and Piotr Banaszkiewicz. 2019. Research this! Questions that computing educators most want computing education researchers to answer. In Proceedings of the 2019 ACM Conference on International Computing Education Research. 259–267.Google ScholarDigital Library
- Remy Dou, Karina Bhutta, Monique Ross, Laird Kramer, and Vishodana Thamotharan. 2020. The Effects of Computer Science Stereotypes and Interest on Middle School Boys’ Career Intentions. ACM Transactions on Computing Education 20, 3 (2020). https://doi.org/10.1145/3394964Google ScholarDigital Library
- Cheri Fancsali, Sarah Klevan, and Zitsi Mirakhur. 2021. Making research practice partnerships work: An assessment of The Maker Partnership. In 2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT). IEEE, 1–6.Google ScholarCross Ref
- Isabel M. Freitas, Roque Jiménez, and Vicente Mellado. 2004. Solving physics problems: The conceptions and practice of an experienced teacher and an inexperienced teacher. Research in Science Education 34, 1 (2004), 113–133. https://doi.org/10.1023/B:RISE.0000021000.61909.66Google ScholarCross Ref
- Chris Frith and Uta Frith. 2005. Theory of mind.Current biology 15, 17 (2005), 644–645. https://doi.org/10.1016/j.cub.2005.08.041Google Scholar
- Norma Gonzalez, Luis C. Moll, and Cathy Amanti. 2005. Funds of Knowledge: Theorizing Practices in Households, Communities, and Classrooms. Erlbaum, Mahwah, NJ.Google Scholar
- Sarah Gretter, Aman Yadav, and Phil Sands. 2019. Equitable Learning Environments in K-12 Computing: Teachers’ Views on Barriers to Diversity. ACM Transactions on Computing Education(2019). https://doi.org/10.1145/3282939Google ScholarDigital Library
- Pam Grossman and Morva McDonald. 2008. Back to the future: Directions for research in teaching and teacher education. American Educational Research Journal 45, 1 (2008), 184–205. https://doi.org/10.3102/0002831207312906Google ScholarCross Ref
- Michael Hewner. 2014. How CS undergraduates make course choices. In ICER 2014 - Proceedings of the 10th Annual International Conference on International Computing Education Research. Association for Computing Machinery, 115–122. https://doi.org/10.1145/2632320.2632345Google ScholarDigital Library
- Yotam Hod, Ornit Sagy, and Yael Kali. 2018. The opportunities of networks of research-practice partnerships and why CSCL should not give up on large-scale educational change. International Journal of Computer-Supported Collaborative Learning 13, 4(2018), 457–466.Google ScholarCross Ref
- Beryl Hoffman, Ralph Morelli, and Jennifer Rosato. 2019. Student Engagement is Key to Broadening Participation in CS. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education(SIGCSE ’19). Association for Computing Machinery, New York, NY, USA, 1123–1129. https://doi.org/10.1145/3287324.3287438Google ScholarDigital Library
- Timothy A. Judge and Joyce E. Bono. 2001. Relationship of Core Self-Evaluatoin Traits – Self-Esteem, Generalized Self-Efficacy, Locus of Control, and Emotional Stability – with Job Satisfaction and Job Performance: A Meta-Analysis. Journal of Applied Psychology 86, 1 (2001), 80–92.Google ScholarCross Ref
- Fred Korthagen. 2010. The relationship between theory and practice in teacher education. International encyclopedia of education 7, 1 (2010), 669–675.Google ScholarCross Ref
- F. A. J. Korthagen. 2010. The Relationship Between Theory and Practice in Teacher Education. International Encyclopedia of Education 7 (2010), 669–675.Google ScholarCross Ref
- Lesley F. Leach, Credence Baker, Catherine G. Leamons, Phillis Bunch, and Jesse Brock. 2021. Using Evidence to Frame Problems of Practice. Impacting Education: Journal on Transforming Professional Practice 6, 4(2021), 1–7. https://doi.org/10.5195/ie.2021.144Google ScholarCross Ref
- Allison Master, Sapna Cheryan, and Andrew N. Meltzoff. 2016. Computing whether she belongs: Stereotypes undermine girls’ interest and sense of belonging in computer science.Journal of Educational Psychology 108, 3 (2016), 424–437. https://doi.org/10.1037/edu0000061Google Scholar
- Monica M. McGill, Sloan Davis, and Joey Reyes. 2022. Surfacing Inequities and Their Broader Implications in the CS Education Research Community. In Proceedings of the 2022 ACM Conference on International Computing Education Research. 294–308. https://doi.org/10.1145/3501385.3543969Google ScholarDigital Library
- Rick Mintrop and Elizabeth Zumpe. 2019. Solving real-life problems of practice and education leaders’ school improvement mind-set. American Journal of Education 125, 3 (2019), 295–344. https://doi.org/10.1086/702733Google ScholarCross Ref
- Janice M Morse. 1995. The significance of saturation., 147–149 pages.Google Scholar
- Tomoko M Nakajima and Joanna Goode. 2019. Transformative learning for computer science teachers: Examining how educators learn e-textiles in professional development. Teaching and Teacher Education 85 (2019), 148–159.Google ScholarCross Ref
- Christopher P. Niemiec and Richard M. Ryan. 2009. Autonomy, competence, and relatedness in the classroom:Applying self-determination theory to educational practice. Theory and Research in Education 7, 2 (2009), 133–144. https://doi.org/10.1177/1477878509104318Google ScholarCross Ref
- Michael Quinn Patton. 2002. Qualitative research and evaluation methods. Thousand Oaks. Cal.: Sage Publications 4 (2002).Google Scholar
- William R. Penuel. 2019. Infrastructuring as a Practice of Design-Based Research for Supporting and Studying Equitable Implementation and Sustainability of Innovations. Journal of the Learning Sciences 28, 4-5 (2019), 659–677. https://doi.org/10.1080/10508406.2018.1552151Google ScholarCross Ref
- William R Penuel, Derek C Briggs, Kristen L Davidson, Corinne Herlihy, David Sherer, Heather C Hill, Caitlin Farrell, and Anna-Ruth Allen. 2017. How school and district leaders access, perceive, and use research. AERA Open 3, 2 (2017), 2332858417705370.Google ScholarCross Ref
- M Suvarchala Rani. 2016. Effect of Locus of Control on Teacher Effectiveness. Gavesana Journal of Management 8, 1 (2016), 64–73.Google Scholar
- Julian B. Rotter. 1990. Internal versus external control of reinforcement: A case history of a variable. American Psychologist 45, 4 (1990), 489–493. https://doi.org/10.1037/0003-066X.45.4.489Google ScholarCross Ref
- Frances O’Connell Rust. 2009. Teacher research and the problem of practice. Teachers College Record 111, 8 (2009), 1882–1893.Google ScholarCross Ref
- Olgun Sadik, Anne Ottenbreit-Leftwich, and Thomas Brush. 2020. Secondary Computer Science Teachers’ Pedagogical Needs. International Journal of Computer Science Education in Schools 4, 1(2020), 33–52.Google ScholarCross Ref
- Johnny Saldaña. 2013. The Coding Manual for Qualitative Researchers (2nd ed.). https://doi.org/10.1017/CBO9781107415324.004 arxiv:arXiv:1011.1669v3Google Scholar
- Chamindi K. Samarasekara, Claudia Ott, and Anthony Robins. 2022. Barriers to New Zealand High School CS Education - Learners’ Perspectives. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1(SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 927–933. https://doi.org/10.1145/3478431.3499344Google ScholarDigital Library
- Phillip C Schlechty, Betty Lou Whitford, 1988. Shared problems and shared vision: Organic collaboration. School-university partnerships in action: Concepts, cases, and concerns (1988), 191–204.Google Scholar
- Aliza Segal. 2019. Story exchange in teacher professional discourse. Teaching and Teacher Education 86 (2019), 102913.Google ScholarCross Ref
- Mia S. Shaw, Deborah A. Fields, and Yasmin B. Kafai. 2020. Leveraging local resources and contexts for inclusive computer science classrooms: Reflections from experienced high school teachers implementing electronic textiles. Computer Science Education 30, 3 (2020), 313–336. https://doi.org/10.1080/08993408.2020.1805283Google ScholarCross Ref
- Donal Shön and Martin Rein. 1994. Frame reflection: Toward the resolution of intractable policy controversies. Basic Book (1994).Google Scholar
- Jack P Shonkoff. 2000. Science, policy, and practice: Three cultures in search of a shared mission. Child development 71, 1 (2000), 181–187.Google Scholar
- Moin Syed and Sarah C. Nelson. 2015. Guidelines for Establishing Reliability When Coding Narrative Data. Emerging Adulthood 3, 6 (2015), 375–387. https://doi.org/10.1177/2167696815587648Google ScholarCross Ref
- Jessica Thompson, Sara Hagenah, Karin Lohwasser, and Kat Laxton. 2015. Problems Without Ceilings: How Mentors and Novices Frame and Work on Problems-of-Practice. Journal of Teacher Education 66, 4 (2015), 363–381. https://doi.org/10.1177/0022487115592462Google ScholarCross Ref
- Rebecca Vivian, Diana Franklin, Dave Frye, Alan Peterfreund, Jason Ravitz, Florence Sullivan, Melissa Zeitz, and Monica M. McGill. 2020. Evaluation and Assessment Needs of Computing Education in Primary Grades. In ACM Innovation and Technology in Computer Science Education. https://doi.org/10.1145/3341525.3387371Google ScholarDigital Library
- Janet D.K. Walkoe and Melissa J. Luna. 2020. What We are Missing in Studies of Teacher Learning: A Call for Microgenetic, Interactional Analyses to Examine Teacher Learning Processes. Journal of the Learning Sciences 29, 2 (2020), 285–307. https://doi.org/10.1080/10508406.2019.1681998Google ScholarCross Ref
- Dana Linnell Wanzer. 2019. Improving Evidence Use: The Importance of Relationship Quality in Research-Practice Partnerships. Ph.D. Dissertation. The Claremont Graduate University.Google Scholar
- Jayce R Warner, Carol L Fletcher, Ryan Torbey, and Lisa S Garbrecht. 2019. Increasing Capacity for Computer Science Education in Rural Areas through a Large-Scale Collective Impact Model. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education. Minneapolis, MN, USA, 1157–1163.Google ScholarDigital Library
- Sarah Wille, Jeanne Century, and Miriam Pike. 2017. Exploratory research to expand opportunities in computer science for students with learning differences. Computing in Science & Engineering 19, 3 (2017), 40–50.Google ScholarDigital Library
- Aman Yadav, Sarah Gretter, Susanne Hambrusch, and Phil Sands. 2016. Expanding computer science education in schools: understanding teacher experiences and challenges. Computer Science Education 26, 4 (2016), 235–254.Google ScholarCross Ref
- Meilan Zhang, Mary Lundeberg, and Jan Eberhardt. 2011. Strategic facilitation of problem-based discussion for teacher professional development. Journal of the Learning Sciences 20, 3 (2011), 342–394. https://doi.org/10.1080/10508406.2011.553258Google ScholarCross Ref
- Jun Zhou. 2012. Problems teachers face when doing action research and finding possible solutions: Three cases. Chinese Education & Society 45, 4 (2012), 68–80.Google ScholarCross Ref
Index Terms
- Solve This! K-12 CS Education Teachers’ Problems of Practice
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