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Technology Integration as an
Intervention Strategy for
At-Risk Eighth Graders

Eric B. Little

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Results

The purpose of this study was to determine if 27 weeks of technology-enhanced instruction would help 24 students who were repeating eighth grade perform better on the CRCT in reading and writing. The reading CRCT benchmark mean score was 316. After technology-enhanced instruction, the mean score rose to 345 (a gain of 28 points). The writing CRCT mean score went from 307 to 321 for a gain of 14 points. These gains were statistically significant (see Table 1). Effect sizes were substantial using the Cohen's d formula. Reading had an effect size of .82 yielding a gain of 29 percentile points while writing had an effect size of .68 yielding a gain of 23 percentile points.

The correlation of the set of writing scores was r = .63, p = .001. The correlation of the reading scores was lower at r = .45, p = .03. The cut off score for both tests was 300, leaving a passing rate on the reading pretest and on the writing pretest of 71% for this group of students. On the posttest, the passing rate in reading was 96% [ X 2 (1) = 7.3, p < .007] and 83% in writing, [ X 2 (1) = 1.8, p < .18]. See Figure 1 for histograms of all four sets of scores.

Discussion

The most important finding from the research was the improvement in students' reading and writing CRCT scores with students making statistically significant gains. Challenges to the study's validity included student maturation and the fact that students had received the same curriculum previously.

The major change in the intervention curriculum was the addition of technology to the instructional delivery method. Exposing students to a technology-based curriculum had a positive impact educationally for this group of at-risk students. Traditional instructional methods which were teacher-centered gave way to student-centered learning. Students took more ownership of their work and were more involved and motivated by the interactive, technology-infused learning environment. Students accepting ownership of their own learning may have been a significant contributing factor in the overall improvements evidenced in higher test scores in reading comprehension, word recognition, writing, and spelling.

About the Author

Eric B. Little is a fourth year classroom teacher and graduate student working on an Ed.S degree. He holds a B.S. and M.Ed. in middle grades education. He is certified in grades 4 through 8, and his interests are in using technology to improve student learning.
Email: erbrli@yahoo.com

Send correspondence to:

231 Old Plantation Trail
Milledgeville, GA 3106

 

References

Chen, S.Y. and Ford, N.J. (1997). Towards adaptive information systems: Individual differences and hypermedia. Information Research, 3(2). Retrieved June 16, 2006, from http://informationr.net/ir/3-2/paper37.html

Elbourne, D. (2002). A systematic review and meta-analysis of the effectiveness of information and communication (ICT) on teaching of spelling. Journal of Research in Reading, 25(2), 129-143.

Liao, Y. C. (1998). Effects of hypermedia versus traditional instruction on students' achievement: A meta-analysis. Professional Development Collection, 30(4), 341-360.

Liao, Y.C. (1999). Effects of hypermedia on students' achievement: A meta-analysis. Journal of Educational Multimedia and Hypermedia, 8(3), 255-277. Retrieved June 16, 2006, from http://www.medvet.umontreal.ca/techno/eta6785/articles/Effect_hypermedia.PDF

Nunes, J.M.B., and Fowell, S.P. (1996). Hypermedia as an experiential learning tool: A theoretical model. Information Research, 2(1). Retrieved June 16, 2006, from http://informationr.net/ir/2-1/paper12.html

Swanson, H.L., & Hoskyn, M (2001). Instructing adolescents with learning disabilities: A component and composite analysis. Learning Disabilities Research & Practice, 16(2), 109-118.

Wong, B. (2001). Commentary: Pointers for literacy instruction from educational technology and research on writing instruction. The Elementary School Journal, 101(3), 359-369.

Table 1

Descriptive Statistics on Eighth Grade Reading & Writing CRCT Tests

Note: Reading t (23) = 3.7, p = .001; Writing t (23) = 3.9, p = .001

 

 

Figure 1: Histograms of pretest and posttest reading and writing scores.

 

Figure 2: Gains in eighth grade reading and writing CRCT scores.

 

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Meridian: A Middle School Computer Technologies Journal
a service of NC State University, Raleigh, NC
Volume 9, Issue 2, 2006
ISSN 1097-9778
URL: http://www.ncsu.edu/meridian/sum2006/
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