Show your work: secondary mathematics teachers’ use of computational test items before and during distance learning

References

• Alkharusi, H., Aldhafri, S., Alnabhani, H., & Alkalbani, M. (2014). Classroom assessment: Teacher practices, student perceptions, and academic self-efficacy beliefs. Social Behavior and Personality: An International Journal, 42(5), 835–855. https://doi.org/10.2224/sbp.2014.42.5.835
   Web of Science ®Google Scholar
• Allal, L. (2013). Teachers’ professional judgement in assessment: A cognitive act and a socially situated practice. Assessment in Education: Principles, Policy & Practice, 20(1), 20–34. https://doi.org/10.1080/0969594X.2012.736364
   Google Scholar
• Anderman, E. M., & Koenka, A. C. (2017). The relation between academic motivation and cheating. Theory Into Practice, 56(2), 95–102. https://doi.org/10.1080/00405841.2017.1308172
   Web of Science ®Google Scholar
• Anderman, E. M., & Won, S. (2019). Academic cheating in disliked classes. Ethics & Behavior, 29(1), 1–22. doi:10.1080/10508422.2017.1373648
   Web of Science ®Google Scholar
• Bachor, D. G., & Anderson, J. O. (1994). Elementary teachers’ assessment practices as observed in the province of British Columbia. Assessment in Education: Principles, Policy & Practice, 1(1), 63–94. https://doi.org/10.1080/0969594940010105
   Google Scholar
• Banilower, E. R., Smith, P. S., Malzahn, K. A., Plumley, C. L., Gordon, E. M., & Hayes, M. L. (2018). Report of the 2018 NSSME+. Horizon Research, Inc.
   Google Scholar
• Banilower, E. R., Smith, P. S., Weiss, I. R., Malzahn, K. A., Campbell, K. M., & Weis, A. M. (2013). Report of the 2012 national survey of science and mathematics education.
   Google Scholar
• Blundell, C. N. (2021). Teacher use of digital technologies for school-based assessment: A scoping review. Assessment in Education: Principles, Policy & Practice, 28(3), 279–300. https://doi.org/10.1080/0969594X.2021.1929828
   Google Scholar
• Bolte, L. A. (1999). Using concept maps and interpretive essays for assessment in mathematics. School Science and Mathematics, 99(1), 19–30. https://doi.org/10.1111/j.1949-8594.1999.tb17442.x
   Google Scholar
• Boyd, B. T. (2008). Effects of state tests on classroom test items in mathematics. School Science and Mathematics, 108(6), 251–262. https://doi.org/10.1111/j.1949-8594.2008.tb17835.x
   Google Scholar
• Bray, W. S. (2011). A collective case study of the influence of teachers’ beliefs and knowledge on error-handling practices during class Discussion of mathematics. Journal for Research in Mathematics Education, 42(1), 2–38. https://doi.org/10.5951/jresematheduc.42.1.0002
   Web of Science ®Google Scholar
• Briggs, D. C., Peck, F., Johnson, R., & Alzen, J. (2015). The learning progression project year 2 pilot findings: Mathematics (p. 43). Center for Assessment, Design, Research and Evaluation (CADRE).
   Google Scholar
• Brookhart, S. M. (2003). Developing Measurement theory for classroom assessment purposes and uses. Educational Measurement: Issues and Practice, 22(4), 5–12. https://doi.org/10.1111/j.1745-3992.2003.tb00139.x
   Google Scholar
• Brown, G. T. L. (2008). Conceptions of assessment: Understanding what assessment means to teachers and students. Nova Science Publishers.
   Google Scholar
• Brown, G. T. L., Lake, R., & Matters, G. (2011). Queensland teachers’ conceptions of assessment: The impact of policy priorities on teacher attitudes. Teaching and Teacher Education, 27(1), 210–220. https://doi.org/10.1016/j.tate.2010.08.003
   Web of Science ®Google Scholar
• Burud, I., Nagandla, K., & Agarwal, P. (2019). Impact of distractors in item analysis of multiple choice questions. International Journal of Research in Medical Sciences, 7(4), 1136. https://doi.org/10.18203/2320-6012.ijrms20191313
   Google Scholar
• Carter, K. (1984). Do teachers understand principles for writing tests? Journal of Teacher Education, 35(6), 57–60. https://doi.org/10.1177/002248718403500613
   Web of Science ®Google Scholar
• Case, R. (2005). Bringing critical thinking to the main stage. Education Canada, 45(2), 45–49.
   Google Scholar
• Certica. (2017). Common Core State Standards adoption map. http://statestandards.certicasolutions.com/common-core-state-adoption-map/
   Google Scholar
• Charalambous, C. Y. (2015). Working at the intersection of teacher knowledge, teacher beliefs, and teaching practice: A multiple-case study. Journal of Mathematics Teacher Education, 18(5), 427–445. https://doi.org/10.1007/s10857-015-9318-7
   Web of Science ®Google Scholar
• Cimer, S. O., & Cimer, A. (2010). What Teachers Assess and its Consequences. Asia-Pacific Forum on Science Learning and Teaching, 11(2), 24.
   Google Scholar
• Coghlan, S., Miller, T., & Paterson, J. (2021). Good proctor or “Big brother”? Ethics of online exam supervision technologies. Philosophy & Technology, 34(4), 1581–1606. https://doi.org/10.1007/s13347-021-00476-1
   PubMedGoogle Scholar
• Common Core State Standards Initiative. (2010). Common core state standards for mathematics. http://www.corestandards.org/assets/CCSSI_Math%20Standards.pdf
   Google Scholar
• Crooks, T. J. (1988). The impact of classroom evaluation practices on students. Review of Educational Research, 58(4), 438–481. doi:10.3102/00346543058004438
   Web of Science ®Google Scholar
• Cross, D. I. (2009). Alignment, cohesion, and change: Examining mathematics teachers’ belief structures and their influence on instructional practices. Journal of Mathematics Teacher Education, 12(5), 325–346. https://doi.org/10.1007/s10857-009-9120-5
   Google Scholar
• De Corte, E., Verschaffel, L., & Depaepe, F. (2008). Unraveling the relationship between students’ mathematics-related beliefs and the classroom culture. European Psychologist, 13(1), 24–36. https://doi.org/10.1027/1016-9040.13.1.24
   Web of Science ®Google Scholar
• Delanshere, G., & Jones, J. H. (1999). Elementary teachers’ beliefs about assessment in mathematics. A case of assessment paralysis. Journal of Curriculum and Supervision, 14(3), 216–240.
   Google Scholar
• DeLuca, C., Valiquette, A., Coombs, A., LaPointe-McEwan, D., & Luhanga, U. (2018). Teachers’ approaches to classroom assessment: A large-scale survey. Assessment in Education: Principles, Policy & Practice, 25(4), 355–375. https://doi.org/10.1080/0969594X.2016.1244514
   Web of Science ®Google Scholar
• Dendir, S., & Maxwell, R. S. (2020). Cheating in online courses: Evidence from online proctoring. Computers in Human Behavior Reports, 2, 100033. https://doi.org/10.1016/j.chbr.2020.100033
   Google Scholar
• Duncan, C. R., & Noonan, B. (2007). Factors affecting teachers’ grading and assessment practices. Alberta Journal of Educational Research, 53(1), 1–21.
   Google Scholar
• Engeström, Y. (1999). Activity theory and individual and social transformation. Perspectives on Activity Theory, 19(38), 19–30. doi:10.1017/CBO9780511812774.003
   Google Scholar
• Evans, E. D., & Craig, D. (1990). Teacher and student perceptions of academic cheating in middle and senior high schools. The Journal of Educational Research, 84(1), 44–53. https://doi.org/10.1080/00220671.1990.10885989
   Web of Science ®Google Scholar
• Ewing, L.-A., & Cooper, H. B. (2021). Technology-enabled remote learning during COVID-19: Perspectives of Australian teachers, students and parents. Technology, Pedagogy and Education, 30(1), 41–57. https://doi.org/10.1080/1475939X.2020.1868562
   Web of Science ®Google Scholar
• Fitzmaurice, O., & Ní Fhloinn, E. (2021). Alternative mathematics assessment during university closures due to COVID-19. Irish Educational Studies, 40(2), 1–9. https://doi.org/10.1080/03323315.2021.1916556
   Web of Science ®Google Scholar
• Fukuzawa, S., & DeBraga, M. (2019). Graded response method: Does question type influence the assessment of critical thinking. Journal of Curriculum and Teaching, 8(1), 1. https://doi.org/10.5430/jct.v8n1p1
   Google Scholar
• Giorgio-Doherty, K., Baniahmadi, M., Newton, J., Olson, A. M., Ferguson, K., Sammons, K., Wood, M. M., & Drake, C. (2021). COVID and curriculum: Elementary teachers report on the challenges of teaching and learning mathematics remotely. Journal of Multicultural Affairs, 6(2), Article 3.
   Google Scholar
• Gipps, C. (2002). Sociocultural perspectives on assessment. Learning for Life in the 21st Century: Sociocultural Perspectives on the Future of Education, edited by Gordon Wells & Guy Claxton, 73–83. doi:10.1002/9780470753545.ch6
   Google Scholar
• Guskey, T. R., & Link, L. J. (2019). Exploring the factors teachers consider in determining students’ grades. Assessment in Education: Principles, Policy & Practice, 26(3), 303–320. https://doi.org/10.1080/0969594X.2018.1555515
   Web of Science ®Google Scholar
• Gutiérrez, R. (1996). Practices, beliefs and cultures of high school mathematics departments: Understanding their influence on student advancement. Journal of Curriculum Studies, 28(5), 495–529. doi:10.1080/0022027980280501
   Web of Science ®Google Scholar
• Gutiérrez, R. (1999). Advancing urban latina/o youth in mathematics: Lessons from an effective high school mathematics department. The Urban Review, 31(3), 263–281. doi:10.1023/A:1023224027473
   Google Scholar
• Handal, B. (2003). Teachers’ mathematical beliefs: A review. The Mathematics Educator, 13(2), 47–57.
   Google Scholar
• Harlen, W. (2005a). Teachers’ summative practices and assessment for learning – tensions and synergies. The Curriculum Journal, 16(2), 207–223. https://doi.org/10.1080/09585170500136093
   Google Scholar
• Harlen, W. (2005b). Trusting teachers’ judgement: Research evidence of the reliability and validity of teachers’ assessment used for summative purposes. Research Papers in Education, 20(3), 245–270. https://doi.org/10.1080/02671520500193744
   Google Scholar
• Harlen, W., & Deakin Crick, R. (2003). Testing and motivation for learning. Assessment in Education: Principles, Policy & Practice, 10(2), 169–207. https://doi.org/10.1080/0969594032000121270
   Google Scholar
• Hiebert, J. (1986). Conceptual and procedural knowledge: The case of mathematics. Erlbaum.
   Google Scholar
• Hunsader, P. D., Thompson, D. R., Zorin, B., Mohn, A. L., Zakrzewski, J., Karadeniz, I., Fisher, E. C., & MacDonald, G. (2014). Assessments accompanying published textbooks: The extent to which mathematical processes are evident. ZDM, 46(5), 797–813. doi:10.1007/s11858-014-0570-6
   Google Scholar
• Jönsson, A., & Balan, A. (2018). Analytic or holistic: A study of agreement between different grading models. Practical Assessment, Research, and Evaluation, 23(1), 12. https://doi.org/10.7275/mg59-xq60
   Google Scholar
• Kane, M. T., & Wools, S. (2019). Perspectives on the validity of classroom assessments. In S. M. Brookhart, & J. H. McMillan (Eds.), Classroom assessment and educational measurement (pp. 11–26). Routledge.
   Google Scholar
• Kilpatrick, J., Swafford, J., & Findell, B. (2001). Adding it up: Helping children learn mathematics (national research council (U.S.) & mathematics learning study committee, Eds.). National Academy Press. http://site.ebrary.com/id/10038695
   Google Scholar
• Kyriacou, C. (2001). Teacher stress: Directions for future research. Educational Review, 53(1), 27–35. https://doi.org/10.1080/00131910120033628
   Web of Science ®Google Scholar
• Lewis, A., & Smith, D. (1993). Defining higher order thinking. Theory Into Practice, 32(3), 131–137. https://doi.org/10.1080/00405849309543588
   Google Scholar
• McAninch, A. R. (1993). Teacher thinking and the case method: Theory and future directions. Teachers College Press.
   Google Scholar
• McLaughlin, M. W., & Talbert, J. E. (2001). Professional communities and the work of high school teaching. University of Chicago Press.
   Google Scholar
• McMillan, J. H. (2001). Secondary teachers’ classroom assessment and grading practices. Educational Measurement: Issues and Practice, 20(1), 20–32. https://doi.org/10.1111/j.1745-3992.2001.tb00055.x
   Google Scholar
• McMillan, J. H. (2003). Understanding and improving teachers’ classroom assessment decision making: Implications for theory and practice. Educational Measurement: Issues and Practice, 22(4), 34–43. https://doi.org/10.1111/j.1745-3992.2003.tb00142.x
   Google Scholar
• Meurs, J. A., & Perrewé, P. L. (2011). Cognitive activation theory of stress: An integrative theoretical approach to work stress. Journal of Management, 37(4), 1043–1068. doi:10.1177/0149206310387303
   Web of Science ®Google Scholar
• Pavlin-Bernardić, N., Rovan, D., & Pavlović, J. (2017). Academic cheating in mathematics classes: A motivational perspective. Ethics & Behavior, 27(6), 486–501. https://doi.org/10.1080/10508422.2016.1265891
   Web of Science ®Google Scholar
• Pead, D. A. (2010). On computer-based assessment of mathematics [Dissertation, University of Nottingham. http://eprints.nottingham.ac.uk/11662/1/thesis.pdf
   Google Scholar
• Remesal, A. (2011). Primary and secondary teachers’ conceptions of assessment: A qualitative study. Teaching and Teacher Education, 27(2), 472–482. https://doi.org/10.1016/j.tate.2010.09.017
   Web of Science ®Google Scholar
• Rowe, N. C. (2004). Cheating in online student assessment: Beyond plagiarism. Online Journal of Distance Learning Administration, 7(2), 1–10. https://www.westga.edu/~distance/ojdla/summer72/rowe72.html
   Google Scholar
• Saldaña, J. (2011). Fundamentals of qualitative research. OUP USA.
   Google Scholar
• Santos, L., & Semana, S. (2015). Developing mathematics written communication through expository writing supported by assessment strategies. Educational Studies in Mathematics, 88(1), 65–87. https://doi.org/10.1007/s10649-014-9557-z
   Web of Science ®Google Scholar
• Schulz, H., & FitzPatrick, B. (2016). Teachers’ understandings of critical and higher order thinking and what this means for their teaching and assessments. Alberta Journal of Educational Research, 62(1), 61–86. https://doi.org/10.11575/ajer.v62i1.56168
   Google Scholar
• Scully, D. (2017). Constructing multiple-choice items to Measure higher-order thinking. Practical Assessment, Research, and Evaluation, 22(4), 14. https://doi.org/10.7275/swgt-rj52
   Google Scholar
• Sebastian, M. A. (2020). Classification of test items written by mathematics pre-service teachers. International Electronic Journal of Mathematics Education, 15(2), 1–10. https://doi.org/10.29333/iejme/7599
   Google Scholar
• Senk, S. L., Beckmann, C. E., & Thompson, D. R. (1997). Assessment and grading in high school mathematics classrooms. Journal for Research in Mathematics Education, 28(2), 187. https://doi.org/10.2307/749761
   Web of Science ®Google Scholar
• Sfard, A. (1991). On the dual nature of mathematical conceptions: Reflections on processes and objects as different sides of the same coin. Educational Studies in Mathematics, 22(1), 1–36. https://doi.org/10.1007/BF00302715
   Google Scholar
• Shepard, L. A., Penuel, W. R., & Pellegrino, J. W. (2018). Using learning and motivation theories to coherently link formative assessment, grading practices, and large-scale assessment. Educational Measurement: Issues and Practice, 37(1), 21–34. https://doi.org/10.1111/emip.12189
   Web of Science ®Google Scholar
• Simon, M., Tierney, R. D., Forgette-Giroux, R., Charland, J., Noonan, B., & Duncan, R. (2010). A secondary school teacher’s description of the process of determining report card grades. McGill Journal of Education, 45(3), 535–554. https://doi.org/10.7202/1003576ar
   Google Scholar
• Siskin, L. S., & Little, J. W. (1995). The subjects in question: Departmental organization and the high school. Teachers College Press.
   Google Scholar
• Stacey, K., & Wiliams, D. (2012). Technology and assessment in mathematics. In M. Clements, A. Bishop, C. Keitel, J. Kilpatrick, & F. Leung (Eds.), Third international handbook of mathematics education (pp. 721–751). Springer.
   Google Scholar
• Stiggins, R. (1988). Revitalizing classroom assessment: The highest instructional priority. Phi Delta Kappan, 69(5), 363–368.
   Web of Science ®Google Scholar
• Tallman, M. A., Carlson, M. P., Bressoud, D. M., & Pearson, M. (2016). A characterization of calculus I final exams in U.S. Colleges and universities. International Journal of Research in Undergraduate Mathematics Education, 2(1), 105–133. https://doi.org/10.1007/s40753-015-0023-9
   Google Scholar
• Thomas, J. W., Bol, L., Warkentin, R. W., Wilson, M., Strage, A., & Rohwer, W. D. (1993). Interrelationships among students’ study activities, self-concept of academic ability, and achievement as a function of characteristics of high-school biology courses. Applied Cognitive Psychology, 7(6), 499–532. https://doi.org/10.1002/acp.2350070605
   Web of Science ®Google Scholar
• Thompson, A. G. (1984). The relationship of teachers’ conceptions of mathematics and mathematics teaching to instructional practice. Educational Studies in Mathematics, 15(2), 105–127. https://doi.org/10.1007/BF00305892
   Google Scholar
• Tierney, R. D. (2006). Changing practices: Influences on classroom assessment. Assessment in Education: Principles, Policy & Practice, 13(3), 239–264. https://doi.org/10.1080/09695940601035387
   Google Scholar
• Trenholm, S. (2007). A review of cheating in fully asynchronous online courses: A math or fact-based course perspective. Journal of Educational Technology Systems, 35(3), 281–300. doi:10.2190/Y78L-H21X-241N-7Q02
   Google Scholar
• Trust, T., & Whalen, J. (2021). K-12 teachers’ experiences and challenges with using technology for emergency remote teaching during the COVID-19 pandemic. Italian Journal of Educational Technology, 29(2), 10–25. https://doi.org/10.17471/2499-4324/1192
   Google Scholar
• Vygotsky, L. S. (1978). Interaction between learning and development. In M. Cole, V. John-Steiner, S. Scribner, & E. Souberman (Eds.), Mind in society: The development of higher psychological processes, 34–41. Harvard University Press.
   Google Scholar
• Windschitl, M. (2004). Folk theories of inquiry: How preservice teachers reproduce the discourse and practices of an atheoretical scientific method. Journal of Research in Science Teaching, 41(5), 481–512. https://doi.org/10.1002/tea.20010
   Web of Science ®Google Scholar