Using Technology in Multi-Tiered Interventions to Differentiate Instruction

Sara Bicard*, Laura Baylot Casey**, Kathryn Nichols***, Esther Plank****, Samantha Finley*****
* Assistant Professor in Special Education, University of Memphis.
** Assistant Professor in Special Education, University of Memphis.
***-***** Graduate Students in Education, University of Memphis.
Periodicity:March - May'2009
DOI : https://doi.org/10.26634/jsch.4.4.526

Abstract

Differentiated instruction denotes varying instruction in terms of content, product, and process to meet the needs of all learners. One way to differentiate the instructional process is to provide multi-tiered instruction. Examples of systematic approaches to multi-tiered instruction are response to intervention (RTI) and school-wide positive behavior support (SWPBS). RTI and SWPBS involve layers or tiers of increasingly more intensive high-quality research-based instruction, progress monitoring, and data-based decision making. Students receive additional tiers of instruction if they do not show progress towards attaining an academic or behavioral goal with the current level of instruction. These data are then used to determine the supports that students need to be successful. Technology, such as instructional software and online progress monitoring tools, can be utilized throughout tiered interventions to increase the efficiency in which students receive supports. This article will describe the components of tiered interventions: universal screening, three tiers of instruction within RTI and SWPBS, and progress monitoring. Examples of technology utilized in RTI and SWPBS will be described.

Keywords

Keywords: Response To Intervention, School wide Positive Behavior Support, Differentiated Instruction, Technology.

How to Cite this Article?

Sara Bicard, Laura Baylot Casey, Kathryn Nichols, Esther Plank and Samantha Finley (2009). Using Technology in Multi-Tiered Interventions to Differentiate Instruction. i-manager’s Journal on School Educational Technology. 4(4), 1-6. https://doi.org/10.26634/jsch.4.4.526

References

[1]. AIMSweb (2009). AlMSweb Pro Complete. Retrieved on March 1 1, 2009 fromhttp://wvvw.aimsweb.com/produ cts/aimsweb—systems/slp/aimsweb—pro—complete/.
[2]. Coyne, M. D., Kame'enui, E. J., & Simmons, D. C. (2004). Improving beginning reading instruction and intervention for students with LD: Reconciling ‘‘all’' with “each”. Journal of LearningDisabilities, 37, 231 -239.
[3]. Dynamic Measurement Group (2009). DIBELS overview. Retrieved on March 11, 2009 from http://dibels.org/dibels.html.
[4]. Fairbanks, S., Sugai, G., Guardino, D., & Lathrop, M. (2007). Response to intervention: Examining classroom behavior support in second grade. Exceptional Children 73(3), 288-310.
[5]. Filter, K.J. McKenna, M. K., Benedict, E. A., Horner, R. H., Todd, A. W., &Watson, J. (2007). Check in/checkout: A post—hoc evaluation of an efficient, secondary—leve| targeted intervention for reducing problem behaviors in schools. Education and Treatment of Children, 30[1 ), 69- 84.
[6]. Good, R. H., III, Simmons, D. C., & Kame'enui, E. J. (2001). The importance of decision—making utility of a continuum of fluency-based indicators of foundational reading skills for third—grade high stakes outcomes. Scientific Studies of Reading, 5, 25 7 288.
[7]. Headsprout. (2009). Headsprout early reading for school. Retrieved on March 24, 2009 from http:// wvvw.headsprout.com/school/index.cfm.
[8]. Hupert, N. & Heinze, C. (2006). Results in the palms of their hands: Using handheld computers for data—driven decision making in the classroom. In M. van't Hooft & K. Swan [Eds.), Ubiquitous computing in education: Invisible technology, visible impact [pp.211—229). Mahwah, NJ: Lawrence Erlbaum Associates.
[9].Hupert, N., Heinze, J., Gunn, G., & Stewart, J. (2008). Using technology-assisted progress monitoring to drive improved student outcomes. In E. B., Mandinach & M. Honey, [Eds.], Data-driven school improvement: Linking data and learning (pp.130—150). New York: Teachers College Press.
[10]. Imagination Station. (2009). Overview. Retrieved on March 24, 2009, from http://wvvw2.istation.com/en/corpsi te/program/overview.asp?sm=overview. Individuals with Disabilities Education Improvement Act of 2004, 20 U.S.C. 1400 (2004).
[11]. IRIS Center for Training Enhancements. [n.d.). RTI (part 3 ): Reading instruction. Retrieved on March 1 1 , 2009 fromhttp://iris.peabody.vanderbilt.edu/rti03_reading/chalcycle.htm.
[12]. Layng, T. V., Twyman, J. S., &Stikeleather, G. (2004). Selected for success: How Headsprout Reading Basics teaches beginning reading. In Moran, Malott, & Malott (Eds.) Evidence-based educational methods. St. Louis: Elsevier Science and Technology Books.
[13]. Mathes, R (2007). ISIP concurrent and predictive validity study. Institute for Reading Research: Southern Methodist University.
[14]. Mclntosh, K., Horner, R. H., Chard, D.J., Boland,J. B., & Good, III, R. H. (2006). The use of reading and behavior screening measures to predict nonresponse to school- wide positive behavior support: A longitudinal analysis. School PsychologyReview, 35(2), 275-291 .
[15]. No Child Left Behind Act of 2001, 20 U.S.C. 70 Section 6301 etseq. (2002).
[16]. Office of Special Education Programs Center on Positive Behavior Support. (2004). School—wide positive behavior support: lmplementers blueprint and self assessment. University oforegon, Eugene.
[17]. Pearson (2009). AlMSweb. Retrieved on March 24, 2009, from http://pearsonassess.com/haiweb/Culture s/en-US/Site/Community/Psychology/AlMSweb.htm.
[18]. Richards, C., Pavri, 5., Golez, F., Canges, R., & Murphy, J. (2007). Response to intervention: Building the capacity of teachers to serve students with learning difficulties. Issues in TeacherEducation, 16(2), 55-64.
[19]. SWIS (2009). Overview of SWIS. Retrieved on March 11,2009 from htlp://www.swis.org/index.php?page=over view#q1.
[20]. Tomlinson, C. A. (2005). The differentiated classroom: Responding to the needs of all learners. Upper Saddle River, NJ:Pearson.
[21]. Vaughn, 3., Linan-Thompson, S., & Hickman, P (2003). Response to instruction as a means of identifying students with reading/learning disabilities. Exceptional Children, 69, 391 -409.
[22]. Wireless Generation (2009). mCLASS.'DIBELS & mCLASS:lDEL. Retrieved on March 11 , 2009 from http://wir elessgeneration.com/solutions/mclass—dibels.html.
[23]. Wright, J. (2009). Intervention central. Retrieved March 11, 2009, from http://www.interventioncentral.org.
[24]. Ysseldyke, J. E. & McLeod, S. (2007). Using technology tools to monitor response to intervention. In S.R. Jimerson, M.K. Burns & A. M. VanDerHeyden [Eds.), Handbook of response to intervention: The science and practice of assessment and intervention (pp. 396-407). NewYork: Springer.
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