Lisans Eğitiminde İyi Uygulamaların Kullanımına İlişkin Öğrencilerin ve Öğretim Üyelerinin Algıları Arasındaki Uyum: Gelişimsel Matematik Sınıflarında Öz-Yansıtma
Year 2021,
, 87 - 106, 15.09.2021
Amy G. Nabors
Linda Zientek
Abstract
Lisans düzeyinde en iyi uygulamalar bellidir. Ancak öğretim üyeleri ile öğrencilerin bu uygulamaların eğitimde kullanımına ilişkin algıları arasındaki uyumsuzluk yeterince araştırılmamıştır. Bu çalışmada, Öğretim Üyesi ve Öğrenciler için Yedi İlke Envanteri’nden bir grup maddeye üç gelişimsel matematik öğretim elemanı ve öğrencilerinin verdiği yanıtları karşılaştırmak için güven aralıkları mekanizması kullanılmıştır. Güven aralıklarında gözlemlenen örüntüler, incelenen maddeler açısından (a) sınıf düzeyinde öğrenciler arasında tutarlı davranışlar olduğunu ve (b) öğrencilerin ve öğretim elemanlarının algılarının birkaç madde üzerinde ayrıştığını göstermiştir. Gelecekteki çalışmalar tüm maddeleri karşılaştırabilir veya uyumluluğu ölçmek için gözlemler yapabilir.
References
- Albert, J., Zientek, L. R., & Manage, A. (2018). Attendance: A case-study in developmental mathematics classrooms. Journal of College Reading and Learning, 48(3), 175–188. https://doi.org/10.1080/10790195.2018.1472941
- American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). Author.
- Bahr, P. R. (2008). Does mathematics remediation work?: A comparative analysis of academic attainment among community college students. Research in Higher Education, 49(5), 420–450. https://doi.org/10.1007/s11162-008-9089-4
- Bangert, A. W. (2004). The seven principles of good practice: A framework for evaluating online teaching. The International Higher Education, 7(3), 217-232. https://doi.org/10.1016/j.iheduc.2004.06.003
- Cafarella, B. V. (2014) Exploring best practices in developmental math. Research & Teaching in Developmental Education, 30(2), 35–64.
- Chickering, A., & Gamson, Z. (1987). Seven principles of good practice in undergraduate education. AAHE Bulletin, 30(7), 3–7.
- Chickering A. W., Gamson, Z. F., & Barsi, L. M. (1991). Seven principles of good practice in undergraduate education faculty inventory. In A. W. Chickering & Z. F. Gamson (Eds.), Applying the seven principles for good practice in undergraduate education (pp. 71–85). Josey-Bass.
- Clarke, S., Arnab, S. Morini, L., & Heywood, L. (2018). Remixing dungeons and dragons: A playful approach to student self-reflection. Proceedings of the European Conference on Games Based Learning (pp. 872–875).
- Cousins, C. L. (2012). A case study of community college students’ perceptions of linked courses instructors’ use of Chickering and Gamson’s (1987). (UMI No. 3508225). (Ed.D. Dissertation, University of Hartford). ProQuest Dissertations and Theses Database.
- Cumming, G. (2011). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analyses. Routledge.
- Cumming, G., & Finch, S. (2001). A primer on the understanding, use, and calculation of confidence intervals that are based on central and noncentral distributions. Educational and Psychological Measurement, 61(4), 532-574. https://doi.org/10.1177/0013164401614002
- Dewey, J. (1997). How we think. Dover Publications, INC. Mineola, New York.
- Dinman, S. M. (1996). What college teachers need to know. In R. J. Menges & M. Weimer (Eds.), Teaching on solid ground (pp. 297–314). Jossey-Bass.
- Fong, C. J., & Zientek, L. R. (2019). Instructional practices in developmental mathematics: A multilevel analysis of community college student perceptions. Journal of College Reading and Learning, 49(1), 35–52. https://doi.org/10.1080/10790195.2018.1514283
- Ganga, E., Mazzariello, A., & Edgecombe, N. (2018). Developmental education: An introduction for policymakers. Center for the Analysis of Postsecondary Readiness.
- https://www.ecs.org/developmental-education-an-introduction-for-policymakers/
- Garofalo, J., & Trinter, C. (2013). Using simulations to foster preservice mathematics teachers’ self-assessment, learning, and reflections on teaching. Mathematics Teacher Educator, 1(2), 162–171. https://doi.org/10.5951/mathteaceduc.1.2.0162
- Hendrix, J. C. (1996). Cooperative learning: Building a democratic community. Clearing House, 69(6), 333-336. https://doi.org/10.1080/00098655.1996.10114333
- Hopkins, Z. H., Moreno, C., & Secrest, A. M. (2019). Lack of confidence interval reporting in dermatology: A call to action. British Journal of Dermatology. 180(4), 910-915. https://doi.org/10.1111/bjd.17126
- Howard, L., & Whitaker, M. (2011). Unsuccessful and successful mathematics learning: Developmental students’ perceptions. Journal of Developmental Education, 35(2), 1–16.
- Johnson, R. B., & Christensen, L. (2014). Educational research: Quantitative, qualitative, and mixed approaches (5th ed.). Sage.
- Majzub, R. M. (2013). Teacher trainees’ self-evaluation during teaching practicum. Procedia-Social and Behavioral Sciences, 102(22), 195–203. https://doi.org/10.1016/j.sbspro.2013.10.733
- National Association of Developmental Education (n.d.). NADE-Mission, vision, and goals.
- Nasser, F., & Fresko, B. (2002). Faculty views of student evaluation of college teaching. Assessment & Evaluation in Higher Education, 27(2), 187-198. https://doi.org/10.1080/02602930220128751
- Negron-Morales, P.,Vazquez-Rodriquez, I., & Leon-Lozada, A. D. (1996). Good practices in undergraduate education from the students’ and faculty’s view: Consensus or disagreement (ED397729). ERIC.
- Oberst, J. E. (1995). Seven principles student inventory: An indicator of success? (UMI No. 9544938). (Doctoral dissertation, Syracuse University). ProQuest Dissertations and Theses Database.
- Olina, Z., & Sullivan, H. J. (2004) Student self-evaluation, teacher evaluation, and learner performance. Educational Technology Research and Development, 52(3), 5–22. https://doi.org/10.1007/BF02504672
- Porter, J. (2017). Why you should make time for self-reflection (Even if you hate doing it). Harvard Business Review. https://hbr.org/2017/03/why-you-should-make-time-for-self-reflection-even-if-you-hate doing-it
- Rolheiser, C., & Ross, J. A. (2001). Student self-evaluation: What research says and what practice shows. In R. D. Small, & A. Thomas (Eds.), Plain talk about kids (pp. 43-57). Center for Development and Learning.
- Ross, J. A., & Bruce, C. A. (2007). Teacher self-assessment: A mechanism for facilitating professional growth. Teaching and Teacher Education, 23(2), 146–-159. https://doi.org/10.1016/j.tate.2006.04.035
- Smith, E. G. (2014). Faculty integration of technology in undergraduate courses at private colleges and universities. Unpublished doctoral dissertation. https://dc.etsu.edu/etd/2444
- Smittle, P. (2003). Principles for effective teaching in developmental education. Journal of Developmental Education 26(3), 10–12, 14, 16.
- Spinney, K. (2017). The importance of self-evaluation and self-reflection throughout the year (not just at performance review time). Retrieved from https://katherinespinney.com/importance-selfreflection selfevaluation-throughout-year-not-just-performance-review-time/
- Stallings, V., & Tascoine, C. (1996). Student self-assessment and self-evaluation. The Mathematics Teacher, 89(7), 548–554.
- Thompson, B. (2003). Score reliability: Contemporary thinking on reliability issues. Sage.
- Tinto, V. (2012). Completing college: Rethinking institutional action. The University of Chicago Press.
- Tursini, U. (2017). Exploring changes in teachers’ instructional practice through self-evaluation as a meditational activity: A case study. Journal of Language Teaching and Research, 8(3), 556–564. https://doi.org/10.17507/jltr.0803.14
- Usher, E. L., & Pajares, F. (2006). Inviting confidence in school: Invitations as a critical source of the academic self-efficacy beliefs of entering middle school students. Journal of Invitational Theory and Practice, 12, 7–16.
- Wilkinson, L., & Task Force on Statistical Inference. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54(8), 594–604. https://doi.org/10.1037/0003-066X.54.8.594
- Zientek, L. R., Capraro, M. M., & Capraro, R. M. (2008). Reporting practices in quantitative teacher education research: One look at the evidence cited in the AERA panel report. Educational Researcher, 37(4), 208-216. https://doi.org/10.3102/0013189X08319762
- Zientek, L. R., Ozel, Z. E. Y., Fong, C. J., & Griffin, M. (2013). Student success in developmental mathematics courses. Community College Journal of Research and Practice, 37(12), 990–1010. https://doi.org/10.1080/10668926.2010.491993
- Zientek, L. R., Yetkiner Ozel, Z. E., Ozel, S., & Allen, J. (2012). Reporting confidence intervals and effect sizes: Collecting the evidence. Career and Technical Education Research, 37(3), 277-295.
- Zientek, L. R., Yetkiner, Z. E., & Thompson, B. (2010). Characterizing the mathematics anxiety literature using confidence intervals as a literature review mechanism. The Journal of Educational Research, 103(6), 424-438. https://doi.org/10.1080/00220670903383093
- Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64-70. https://doi.org/10.1207/s15430421tip4102_2
Agreement between Students’ and Their Instructors’ Perceived Use of Good Practices in Undergraduate Education: Self-Reflections in Developmental Mathematics Classrooms
Year 2021,
, 87 - 106, 15.09.2021
Amy G. Nabors
Linda Zientek
Abstract
Best practices in undergraduate classrooms have been identified. However research on the congruence between practices of faculty members and their students is lacking. In this study, confidence intervals were used as a mechanism to compare responses of three developmental mathematics instructors and their students on a subset of items from the Seven Principles Faculty and Student Inventories. Patterns observed in the confidence intervals indicated that, among the items studied, (a) there were consistent behaviors among students across classes and (b) students’ and instructors’ perceptions were not in agreement on several items. Future studies could compare all items or conduct observations to measure congruency.
References
- Albert, J., Zientek, L. R., & Manage, A. (2018). Attendance: A case-study in developmental mathematics classrooms. Journal of College Reading and Learning, 48(3), 175–188. https://doi.org/10.1080/10790195.2018.1472941
- American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). Author.
- Bahr, P. R. (2008). Does mathematics remediation work?: A comparative analysis of academic attainment among community college students. Research in Higher Education, 49(5), 420–450. https://doi.org/10.1007/s11162-008-9089-4
- Bangert, A. W. (2004). The seven principles of good practice: A framework for evaluating online teaching. The International Higher Education, 7(3), 217-232. https://doi.org/10.1016/j.iheduc.2004.06.003
- Cafarella, B. V. (2014) Exploring best practices in developmental math. Research & Teaching in Developmental Education, 30(2), 35–64.
- Chickering, A., & Gamson, Z. (1987). Seven principles of good practice in undergraduate education. AAHE Bulletin, 30(7), 3–7.
- Chickering A. W., Gamson, Z. F., & Barsi, L. M. (1991). Seven principles of good practice in undergraduate education faculty inventory. In A. W. Chickering & Z. F. Gamson (Eds.), Applying the seven principles for good practice in undergraduate education (pp. 71–85). Josey-Bass.
- Clarke, S., Arnab, S. Morini, L., & Heywood, L. (2018). Remixing dungeons and dragons: A playful approach to student self-reflection. Proceedings of the European Conference on Games Based Learning (pp. 872–875).
- Cousins, C. L. (2012). A case study of community college students’ perceptions of linked courses instructors’ use of Chickering and Gamson’s (1987). (UMI No. 3508225). (Ed.D. Dissertation, University of Hartford). ProQuest Dissertations and Theses Database.
- Cumming, G. (2011). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analyses. Routledge.
- Cumming, G., & Finch, S. (2001). A primer on the understanding, use, and calculation of confidence intervals that are based on central and noncentral distributions. Educational and Psychological Measurement, 61(4), 532-574. https://doi.org/10.1177/0013164401614002
- Dewey, J. (1997). How we think. Dover Publications, INC. Mineola, New York.
- Dinman, S. M. (1996). What college teachers need to know. In R. J. Menges & M. Weimer (Eds.), Teaching on solid ground (pp. 297–314). Jossey-Bass.
- Fong, C. J., & Zientek, L. R. (2019). Instructional practices in developmental mathematics: A multilevel analysis of community college student perceptions. Journal of College Reading and Learning, 49(1), 35–52. https://doi.org/10.1080/10790195.2018.1514283
- Ganga, E., Mazzariello, A., & Edgecombe, N. (2018). Developmental education: An introduction for policymakers. Center for the Analysis of Postsecondary Readiness.
- https://www.ecs.org/developmental-education-an-introduction-for-policymakers/
- Garofalo, J., & Trinter, C. (2013). Using simulations to foster preservice mathematics teachers’ self-assessment, learning, and reflections on teaching. Mathematics Teacher Educator, 1(2), 162–171. https://doi.org/10.5951/mathteaceduc.1.2.0162
- Hendrix, J. C. (1996). Cooperative learning: Building a democratic community. Clearing House, 69(6), 333-336. https://doi.org/10.1080/00098655.1996.10114333
- Hopkins, Z. H., Moreno, C., & Secrest, A. M. (2019). Lack of confidence interval reporting in dermatology: A call to action. British Journal of Dermatology. 180(4), 910-915. https://doi.org/10.1111/bjd.17126
- Howard, L., & Whitaker, M. (2011). Unsuccessful and successful mathematics learning: Developmental students’ perceptions. Journal of Developmental Education, 35(2), 1–16.
- Johnson, R. B., & Christensen, L. (2014). Educational research: Quantitative, qualitative, and mixed approaches (5th ed.). Sage.
- Majzub, R. M. (2013). Teacher trainees’ self-evaluation during teaching practicum. Procedia-Social and Behavioral Sciences, 102(22), 195–203. https://doi.org/10.1016/j.sbspro.2013.10.733
- National Association of Developmental Education (n.d.). NADE-Mission, vision, and goals.
- Nasser, F., & Fresko, B. (2002). Faculty views of student evaluation of college teaching. Assessment & Evaluation in Higher Education, 27(2), 187-198. https://doi.org/10.1080/02602930220128751
- Negron-Morales, P.,Vazquez-Rodriquez, I., & Leon-Lozada, A. D. (1996). Good practices in undergraduate education from the students’ and faculty’s view: Consensus or disagreement (ED397729). ERIC.
- Oberst, J. E. (1995). Seven principles student inventory: An indicator of success? (UMI No. 9544938). (Doctoral dissertation, Syracuse University). ProQuest Dissertations and Theses Database.
- Olina, Z., & Sullivan, H. J. (2004) Student self-evaluation, teacher evaluation, and learner performance. Educational Technology Research and Development, 52(3), 5–22. https://doi.org/10.1007/BF02504672
- Porter, J. (2017). Why you should make time for self-reflection (Even if you hate doing it). Harvard Business Review. https://hbr.org/2017/03/why-you-should-make-time-for-self-reflection-even-if-you-hate doing-it
- Rolheiser, C., & Ross, J. A. (2001). Student self-evaluation: What research says and what practice shows. In R. D. Small, & A. Thomas (Eds.), Plain talk about kids (pp. 43-57). Center for Development and Learning.
- Ross, J. A., & Bruce, C. A. (2007). Teacher self-assessment: A mechanism for facilitating professional growth. Teaching and Teacher Education, 23(2), 146–-159. https://doi.org/10.1016/j.tate.2006.04.035
- Smith, E. G. (2014). Faculty integration of technology in undergraduate courses at private colleges and universities. Unpublished doctoral dissertation. https://dc.etsu.edu/etd/2444
- Smittle, P. (2003). Principles for effective teaching in developmental education. Journal of Developmental Education 26(3), 10–12, 14, 16.
- Spinney, K. (2017). The importance of self-evaluation and self-reflection throughout the year (not just at performance review time). Retrieved from https://katherinespinney.com/importance-selfreflection selfevaluation-throughout-year-not-just-performance-review-time/
- Stallings, V., & Tascoine, C. (1996). Student self-assessment and self-evaluation. The Mathematics Teacher, 89(7), 548–554.
- Thompson, B. (2003). Score reliability: Contemporary thinking on reliability issues. Sage.
- Tinto, V. (2012). Completing college: Rethinking institutional action. The University of Chicago Press.
- Tursini, U. (2017). Exploring changes in teachers’ instructional practice through self-evaluation as a meditational activity: A case study. Journal of Language Teaching and Research, 8(3), 556–564. https://doi.org/10.17507/jltr.0803.14
- Usher, E. L., & Pajares, F. (2006). Inviting confidence in school: Invitations as a critical source of the academic self-efficacy beliefs of entering middle school students. Journal of Invitational Theory and Practice, 12, 7–16.
- Wilkinson, L., & Task Force on Statistical Inference. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54(8), 594–604. https://doi.org/10.1037/0003-066X.54.8.594
- Zientek, L. R., Capraro, M. M., & Capraro, R. M. (2008). Reporting practices in quantitative teacher education research: One look at the evidence cited in the AERA panel report. Educational Researcher, 37(4), 208-216. https://doi.org/10.3102/0013189X08319762
- Zientek, L. R., Ozel, Z. E. Y., Fong, C. J., & Griffin, M. (2013). Student success in developmental mathematics courses. Community College Journal of Research and Practice, 37(12), 990–1010. https://doi.org/10.1080/10668926.2010.491993
- Zientek, L. R., Yetkiner Ozel, Z. E., Ozel, S., & Allen, J. (2012). Reporting confidence intervals and effect sizes: Collecting the evidence. Career and Technical Education Research, 37(3), 277-295.
- Zientek, L. R., Yetkiner, Z. E., & Thompson, B. (2010). Characterizing the mathematics anxiety literature using confidence intervals as a literature review mechanism. The Journal of Educational Research, 103(6), 424-438. https://doi.org/10.1080/00220670903383093
- Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64-70. https://doi.org/10.1207/s15430421tip4102_2