The purpose of this study was to examine the effects of using computer software to store, graph, and analyze student performance data on teacher efficiency and satisfaction with curriculum-based progress-monitoring procedures. Subjects were 20 special education teachers of mildly and moderately handicapped pupils; teachers were assigned randomly to a computer-assisted or a paper-and-pencil monitoring group Teacher efficiency in using the monitoring procedures was observed twice during a 3-month implementation period. In the first phase, all teachers used paper-and-pencil procedures; in the second, 10 teachers continued to use paper-and-pencil procedures while 10 teachers used computer-assisted monitoring procedures. Teacher satisfaction was assessed once at the completion of the study. Analyses of variance indicated that computer assistance was associated with a decrease in efficiency but an increase in teacher satisfaction. Implications for practice and additional research are discussed.
FuchsL.S. (1987). Improving data-based instruction through computer technology: Continuation application. (Available from LS. Fuchs, Box 328, Peabody College of Vanderbilt University, Nashville, TN 37203.)
10.
FuchsL.S.DenoS.L.MirkinP.K. (1984). The effects of frequent curriculum-based measurement and evaluation on pedagogy, student achievement, and student awareness of learning. American Educational Research Journal, 21, 449–460.
11.
FuchsL.S.DencoS.L.MirkinP.K. (1983). Data-based program modification: A continuous evaluation system with computer software to facilitate implementation. Journal of Special Education Technology, 6(2), 50–57.
12.
FuchsL.S.FuchsD. (1986). Effects of systematic formative evaluation: A meta-analysis. Exceptional Children, 53, 199–208.
GerstenR.CarnineD.WhiteW.A.T. (1984). The pursuit of clarity: Direct instruction and applied behavior analysis. In HewardW.L.HeronT.E.HillD.S.Trapp-PorterJ. (Eds.), Focus on behavior analysis in education (pp 38–57). Columbus, OH: Merrill.
15.
GibsonS.DemboM.H. (1984). Teacher efficacy: A construct validation. Journal of Educational Psychology, 76, 569–582.
16.
GoodmanL. (1985). The effective schools movement and special education. Teaching Exceptional Children, 17, 102–105.
17.
HasselbringT.S.HamlettC.L. (1983). AIMSTAR: A data management and decision-making system. Portland, OR: ASIEP Education Co.
HoffmanJ.V.RutherfordW.L. (1984). Effective reading programs: A critical review of outlier studies. Reading Research Quarterly, 20, 79–92.
20.
HuynhH.FeldtL.S. (1976). Estimation of the Box correction for degrees of freedom from sample data in randomized block and split-plot designs. Journal of Educational Statistics, 1, 69–82.
21.
LovittT.C. (1981). Notes of behavior modification. The Journal of Special Education, 15, 395–400.
22.
MirkinP.K.DenoS.L.FuchsL.S.WessonC.TindalG.MarstonD.KuenhleK. (1981). Procedures to develop and monitor progress on IEP goals. Minneapolis: University of Minnesota, Institute for Research on Learning Disabilities.
23.
MorrisonD.F. (1976). Multivariate statistical methods. New York: McGraw-Hill.
24.
PetersonD.L.AlbertS.C.FaxworthA.M.CoxL.S.TilleyB.K. (1985). Effective schools for all students: Current efforts and directions. Teaching Exceptional Children, 17, 106–111.
25.
RiethH.J.PolsgroveL.SemmelM.I. (1981). Instructional variables that make a difference: Attention to task and beyond. Exceptional Education Quarterly, 2(3), 61–72.
26.
WaltonW.T. (1986). Educators' responses to methods of collecting, storing, and analyzing behavioral data. Journal of Special Education Technology, 7, 50–55.
27.
WessonC.FuchsL.S.TindalG.MirkinP.K.DenoS.L. (1986). Facilitating the efficiency of on-going curriculum-based measurement. Teacher Education and Special Education, 9, 166–172.
28.
WessonC.KingR.DenoS.L. (1984). Direct and frequent measurement: If it's so good for us, why don't we use it?Learning Disability Quarterly, 7(1), 45–48.
