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Examining Teachers’ Behavioral Management Charts: a Comparison of Class Dojo and Paper-Pencil Methods

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Abstract

Many teachers report using behavioral management charts in their classrooms as a means of managing student behaviors, but little is known about exactly what behaviors teachers are charting, or specifically how. Misunderstanding over how real-world teachers maintain behavioral charts may cause miscommunication between the teacher and the school psychologist. This study sought to determine how teachers collect and track behavioral data. Researchers examined behavioral charts used by teachers in a Title I elementary school that reported using Positive Behavioral Intervention Supports (PBIS). Researchers evaluated charts for ten classrooms (~150 students) and compared the type of data collected by each teacher for each child. Findings indicated that teachers either used no system, their own systems, or a computer-based system (Class Dojo) for charting behavior. An analysis of each of these systems found that Class Dojo provided significantly more data (positive and negative notations) in general, as well as more reliable data than any other system reviewed. Discussions of these findings within a PBIS framework, as well as general concerns about the computer-based system, are provided.

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References

  • Atkeson, B. M., & Forehand, R. (1979). Home-based reinforcement programs designed to modify classroom behavior: a review and methodological evaluation. Psychological Bulletin, 86(6), 1298–1308. doi:10.1037/0033-2909.86.6.1298.

    Article  PubMed  Google Scholar 

  • Barbarán, C. (2014). The factors influencing teachers’ decision to integrate current technology educational tools in urban elementary public schools. (Doctoral dissertation, Saint Peter’s University). Retrieved from http://librarydb.saintpeters.edu:8080/jspui/bitstream/123456789/130/1/SPU%20Dissertation%20-%20Claudio%20Barbaran.pdf.

  • Basham, J. D., Israel, M., Graden, J., Poth, R., & Winston, M. (2010). A comprehensive approach to RTI: embedding universal design for learning and technology. Learning Disability Quarterly, 33(4), 243–255. doi:10.1177/073194871003300403.

    Article  Google Scholar 

  • Campbell, A., & Anderson, C. M. (2011). Check-in/check-out: a systematic evaluation and component analysis. Journal of Applied Behavior Analysis, 44(2), 315–326.

    Article  PubMed  PubMed Central  Google Scholar 

  • Carter, D. B., Carter, G. B., Johnson, E. S., & Pool, J. L. (2013). Systematic implementation of a tier 2 behavior intervention. Intervention in School and Clinic, 48(4), 223–231.

    Article  Google Scholar 

  • Chafouleas, S. M., Riley-Tillman, T. C., & McDougal, J. (2002). Good, bad, or in-between: how does the daily behavior report card rate? Psychology in the Schools, 39, 157–169.

    Article  Google Scholar 

  • Cox, D. D. (2005). Evidence-based interventions using home-school collaboration. School Psychology Quarterly, 20, 473–497.

    Article  Google Scholar 

  • Crone, D., Horner, R. H., & Hawken, L. (2004). Responding to problem behavior in schools: the behavior education plan. New York: Guilford.

    Google Scholar 

  • Crone, D. A., Hawken, L. S., & Horner, R. H. (2010). Responding to problem behavior in schools: the behavior education program. New York: Guilford Press.

  • Cumming, T.M. (2013). Mobile learning as a tool for students with EBD: Combining evidence-based practice with new technology. Beyond Behavior, 23(1). Retrieved from http://go.galegroup.com/ps/i.do?id=GALE%7CA379199757&v=2.1&u=tall85761&it=r&p=AONE&sw=w&asid=4377ba95f33b77841f0dde8d75f4e60c.

  • Doll, C., McLaughlin, T. F., & Barretto, A. (2013). The token economy: a recent review and evaluation. International Journal of basic and applied science, 2(1), 131–149.

    Google Scholar 

  • Dwight, P. (2014). Georgia Department of Education, Title I: Schoolwide/school improvement plan for Price Educational Center. Retrieved from http://schools.bibb.k12.ga.us/cms/lib01/GA01000598/Centricity/Domain/109/Price%20School%20Improvement%20Plan%20revised%203.26.pdf.

  • Evertson, C. M., & Smithey, M. W. (2000). Mentoring effects on proteges’ classroom practice: an experimental field study. The Journal of Educational Research, 93(5), 294–304. doi:10.1080/00220670009598721.

    Article  Google Scholar 

  • Fairbanks, S., Sugai, S., Guardino, D., & Lathrop, M. (2007). Response to intervention: an evaluation of a classroom system of behavior support for second grade students. Exceptional Children, 73, 288–310. doi:10.1177/001440290707300302.

    Article  Google Scholar 

  • Family Educational Rights and Privacy Act of 1974 (1974). 20 U.S.C. § 1232 g.

  • Filcheck, H. A., McNeil, C. B., Greco, L. A., & Bernard, R. S. (2004). Using a whole-class token economy and coaching of teacher skills in a preschool classroom to manage disruptive behavior. Psychology in the Schools, 41(3), 351–361.

    Article  Google Scholar 

  • Gresham, F. M., Gansle, K. A., & Noell, G. H. (1993). Treatment integrity in applied behavior analysis with children. Journal of Applied Behavior Analysis, 26(2), 257–263.

    Article  PubMed  PubMed Central  Google Scholar 

  • Hammonds, L., Matherson, L. H., Wilson, E. K., & Wright, V. H. (2013). Gateway tools: five tools to allow teachers to overcome barriers to technology integration. Delta Kappa Gamma Bulletin, 80(1), 36–40.

    Google Scholar 

  • Ingvarson, L., Kleinhenz, E., Beavis, A., Barwick, H., Carthy, I., & Wilkinson, J. (2005). Secondary teacher workload study: Report. Retrieved from http://research.acer.edu.au/workforce/2.

  • Kapuler, D. (2013). Top 100 sites and apps of 2012. Technology & Learning, 16. Retrieved from http://go.galegroup.com/ps/i.do?id=GALE%7CA322027595&v=2.1&u=tall85761&it=r&p=AONE&sw=w&asid=256852343ec0d201c9b473365936abbf.

  • Karras, D. J. (1997). Statistical methodology: II. reliability and validity assessment in study design, part a. Academic Emergency Medicine, 4, 64–71.

    Article  PubMed  Google Scholar 

  • Kazdin, A. E. (1977). The token economy: a review and evaluation. New York, NY: Plenum Press.

    Book  Google Scholar 

  • Kazdin, A. E. (1982). The token economy: a decade later. Journal of Applied Behavior Analysis, 15(3), 431–445.

    Article  PubMed  PubMed Central  Google Scholar 

  • Krach, S. K., & McCreery, M. P. (2016). Technology and positive behavioral support: evaluation, selection, and implementation of computer-based socio-emotional training in schools. In S. Y. Tettegah & D. Espelage (Eds.), Emotions and technology: communication of feelings for, with, and through digital media—volume I: emotions, learning, and technology. Waltham, MA: Elsevier.

    Google Scholar 

  • Krach, S. K., McCreery, M. P., Wilcox, R., & Focaracci, S. (2017). Positive behavioral supports: empirically supported use of behavioral logs. Intervention in School and Clinic.

  • LaBel, T. J., Chafouleas, S. M., Britner, P. A., & Simonsen, B. (2013). Use of daily report card in an intervention package involving home-school communication to reduce disruptive behavior in preschoolers. Journal of Positive Behavior Interventions, 15(2), 103–112.

    Article  Google Scholar 

  • Leach, D. J., & Tan, R. (1996). The effects of sending positive and negative letters to parents on the classroom behaviour of secondary school students. Educational Psychology, 16(2), 141–154. doi:10.1080/0144341960160204.

    Article  Google Scholar 

  • Levine, A. (2006). Educating school teachers. Retrieved from http://www.edschools.org/pdf/Educating_Teachers_Report.pdf.

  • Little, S. G., & Akin-Little, K. A. (2003). Classroom management. In W. O’Donohue, J. Fisher, & S. Hayes (Eds.), Cognitive behavior therapy: applying empirically supported techniques in your practice (pp. 65–70). Hoboken, NJ: Wiley.

    Google Scholar 

  • Little, S. G., & Akin-Little, A. (2008). Psychology's contributions to classroom management. Psychology in the Schools, 45(3), 227–234. doi:10.1002/pits.20293.

    Article  Google Scholar 

  • MacLean-Blevins, A. O. (2013). Class dojo: supporting the art of student self-regulation. Rising Tide, 6, 1–20.

    Google Scholar 

  • Maggin, D. M., Chafouleas, S. M., Goddard, K. M., & Johnson, A. H. (2011). A systematic evaluation of token economies as a classroom management tool for students with challenging behavior. Journal of School Psychology, 49(5), 529–554. doi:10.1016/j.jsp.2011.05.001.

    Article  PubMed  Google Scholar 

  • Miltenberger, R. G. (2012). Behavior modification: principles and procedures (Fifth ed.). Independence, KY: Cengage Learning.

    Google Scholar 

  • Morgan, M. (1984). Reward-induced decrements and increments in intrinsic motivation. Review of Educational Research, 54(1), 5–30.

    Article  Google Scholar 

  • Office of Special Education Programs (OSEP) (2009). Is School-Wide Positive Behavior Support an Evidence-Based Practice? Retrieved from http://www.pbis.org/research.

  • Reinders, H. (2014). Backchannelling in the language classroom: improving student attention and retention with feedback technologies. The Journal of Language Teaching and Learning, 4(2), 84–91.

    Google Scholar 

  • Rosen, L., Taylor, S., O’Leary, S., & Sanderson, W. (1990). A survey of classroom management practices. Journal of School Psychology, 28, 257–269. doi:10.1016/0022-4405990090016-z.

    Article  Google Scholar 

  • Sattler, J. M., & Riddell, R. P. (2014). Observational methods. In J. M. Sattler (Ed.), Foundations of behavioral, social, and clinical assessment of children (Sixth ed., pp. 257–334). La Mesa, CA: Sattler, Inc. Publishing.

    Google Scholar 

  • Schlichte, J., Yssel, N., & Merbler, J. (2005). Pathways to burnout: case studies in teacher isolation and alienation. Preventing School Failure: Alternative Education for Children and Youth, 50(1), 35–40. doi:10.3200/PSFL.50.1.35-40.

    Article  Google Scholar 

  • Schumaker, J. B., Hovell, M. F., & Sherman, J. A. (1977). An analysis of daily report cards and parent-managed privileges in the improvement of adolescents’ classroom performance. Journal of Applied Behavior Analysis, 10, 449–464. doi:10.1901/jaba.1977.10-449.

    Article  PubMed  PubMed Central  Google Scholar 

  • Singer, N. (2014). School tracking app won’t keep data. The New York Times, B.6.

  • Sterling-Turner, H. E., Watson, T. S., & Moore, J. W. (2002). The effects of direct training and treatment integrity on treatment outcomes in school consultation. School Psychology Quarterly, 17(1), 47. doi:10.1521/scpq.17.1.47.19906.

    Article  Google Scholar 

  • Sugai, G., & Horner, R. R. (2006). A promising approach for expanding and sustaining school-wide positive behavior support. School Psychology Review, 35, 245–259.

    Google Scholar 

  • Tillery, A. D., Varjas, K., Meyers, J., & Collins, A. S. (2010). General education teachers’ perceptions of behavior management and intervention strategies. Journal of Positive Behavior Interventions, 12(2), 86–102. doi:10.1177/1098300708330879.

    Article  Google Scholar 

  • Todd, A. W., Campbell, A. L., Meyer, G. G., & Horner, R. H. (2008). The effects of a targeted intervention to reduce problem behaviors elementary school implementation of check in-check out. Journal of Positive Behavior Interventions, 10(1), 46–55. doi:10.1177/1098300707311369.

    Article  Google Scholar 

  • Tusting, K. (2009). ‘I am not a “good” teacher; I don’t do all their paperwork’: teacher resistance to accountability demands in the English skills for life strategy. Literacy and Numeracy Studies, 17(3), 6–26.

    Article  Google Scholar 

  • Warschauer, M., Knobel, M., & Stone, L. (2004). Technology and equity in schooling: deconstructing the digital divide. Educational Policy, 18(4), 562–588. doi:10.1177/0895904804266469.

    Article  Google Scholar 

  • Wrobel, J. S., & Armstrong, D. G. (2008). Reliability and validity of current physical examination techniques of the foot and ankle. Journal of the American Podiatric Medical Association, 98, 197–206.

    Article  PubMed  Google Scholar 

  • Zirpoli, T.J., & Buese, D. (2012). Data collection techniques. In T. J. Zirpoli (Ed.), Behavior management: Positive applications for teachers, Sixth edition (pp. 141–179).

  • Zurawski, L. (2015). Utilizing positive behavioral interventions and supports to reinforce therapeutic practices in the schools. SIG 16 Perspectives on School-Based Issues, 16(1), 4–10.

    Article  Google Scholar 

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Correspondence to S. Kathleen Krach, Michael P. McCreery or Hillary Rimel.

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All procedures performed in these studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from parents or legal guardians of all individual participants included in the study (for children) and for the individual themselves (adult). For children, assent was also obtained.

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Krach, S.K., McCreery, M.P. & Rimel, H. Examining Teachers’ Behavioral Management Charts: a Comparison of Class Dojo and Paper-Pencil Methods. Contemp School Psychol 21, 267–275 (2017). https://doi.org/10.1007/s40688-016-0111-0

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