The Effect of Educational Support on Learning Difficulties and Their Impact on Students’ Life Situation Five Years After Basic Education
Author(s):
Leena Holopainen (presenting / submitting) Airi Hakkarainen
Conference:
ECER 2016
Format:
Paper

Session Information

04 SES 07 A, Transition and Dropout From and After School

Paper Session

Time:
2016-08-24
17:15-18:45
Room:
OB-H2.20
Chair:
Claudia Hofmann

Contribution

In educational situations where expectations and learning requirements get higher, students with reading and mathematical difficulties experience many challenges. Students have to compensate for poor reading/mathematical skills with harder work that result in longer workdays and increased pressure, which, in turn, can affect further educational choices e.g. by choosing shorter educational tracks (Goldberg, Higgins, Raskind, & Herman, 2003). Over time, without adequate support, learning difficulties can induce also secondary problems such as poor academic self-concept, and difficulties in maintaining a positive attitude and high motivation especially in demanding learning situations (Levine & Nourse, 1998; McNulty, 2003). Students with reading and mathematical difficulties are also at greater risk for dropping out of school than those without learning difficulties but clearly, dropout from education does not happen suddenly, it is more like a process of gradual disengagement that has been going on for several years before dropout itself occurs (Bear, Kortering, & Braziel, 2006; Kortering & Christenson, 2009). The role of existing educational support system at basic education and after that for staying on educational track is in our research interest in the present study. Namely, findings from earlier studies and meta-analyses indicate that, as a whole, special education fails to prepare youths with learning difficulties to compete for positions in secondary education and working life (Newman, Wagner, Cameto, & Knokey, 2009; Reid, Gonzalez, Nordness, Trout, & Epstein, 2004).

 

The participants of the study were Finnish adolescents (N = 597, 304 females, 293 males; mean age 15.9) who were followed for five years after graduation from comprehensive school. We wanted to find out, 1) what is the role of part-time special education given to students during the schooldays at basic education (received at grades 1-2, grades 3-6 and grades 7-9) predicting reading and mathematical difficulties at the end of basic education and further, 2) the role of educational support received during secondary education (grades 10-12) in predicting and explaining three different life situations, namely the delayed graduation of secondary education, the short educational career or the situation, where the participants are not in education, employment or training (NEET-situation).

Method

Reading difficulties were assessed by using a normative reading test for youth and adults (Holopainen, Kairaluoma, Nevala, Ahonen, & Aro, 2004). Word reading was assessed with two time-limited tests measuring word recognition, reading accuracy, and fluency (Cronbach’s alpha .834) and reading comprehension was assessed with a four-page story where students had to find and underline 52 words that were contradictory in the context of the sentence or paragraph (Cronbach’s alpha .911). Mathematical difficulties were assessed by a normative screening test (Ikäheimo, Putkonen, & Voutilainen, 2002), which consists of 100 very basic mathematical sub-problems in numeracy, arithmetic, algebra, and geometry. The test scores were the total numbers of tasks correctly read/calculated. The structural equation modeling (SEM) was used as analysis method with the MPLUS (version 6.11) program (Muthén & Muthén, 2010). Since our model consisted of continuous latent and discrete observed variables, the “weighted least square parameter” (WLSMV) estimation method was used. A confirmatory factor analysis was used as part of SEM model where a factor named “reading difficulties” was built as a second order factor consisting of two indicators: a latent variable named “word reading difficulties” (error finding task and word-chain task as indicators) and an observed variable of reading comprehension. The three sum variables of mathematical difficulties (arithmetic, algebra, and geometry) loaded on a factor named “mathematical difficulties”. Root mean square error of approximation (RMSEA) with a value below .06, weighted root mean square residual (WRMR) with a value below .90, comparative fit index (CFI) and Tucker-Lewis index (TLI) with values above .95 were essential indices while a good model fit was determined.

Expected Outcomes

Results from path analysis showed first that part-time special education at lower grades predicted mathematical but especially reading difficulties. This means that educational support was received but not enough to raise the level of the skills to the average/good level. Secondly, again, reading difficulties were related with educational support during the grades 10-12, but reading difficulties predicted delayed graduation from upper secondary education and short educational career. On the other hand, mathematical difficulties were a strong predictor of short educational career and membership of the group NEET showing both inadequate educational support and the important role of mathematics in academic achievement. The results of this study raise up discussion of the possibilities and ways of supporting the students with resilient learning difficulties. The overall significance of current issue is of critical importance in increasing the personal life satisfaction, further educational and vocational opportunities and size and quality of our working populations.

References

Bear, G. G., Kortering, L. J., & Braziel, P. (2006). School completers and noncompleters with learning disabilities: Similarities in academic achievement and perceptions of self and teachers. Remedial and Special Education, 27(5), 293-300. Goldberg, R. J., Higgins, E. L., Raskind, M. H., & Herman, K. L. (2003). Predictors of success in individuals with learning disabilities: A qualitative analysis of a 20-year longitudinal study. Learning Disabilities Research and Practice, 18, 222–236. Holopainen, L., Kairaluoma, L., Nevala, J., Ahonen, T., & Aro, M. (2004). Lukivaikeuksien seulontatesti nuorille ja aikuisille [Dysleksia screening test for youth and adults]. Jyväskylä, Finland: Jyväskylän yliopistopaino. Ikäheimo, H., Putkonen, H., & Voutilainen, E. (2002). MAKEKO: Matematiikan keskeisen oppiaineksen kokeet luokille 1–9 [Mathematical skill tests for grades 1–9]. Helsinki: Opperi. Kortering, L. J., & Christenson, S. (2009). Engaging students in school and learning: The real deal for school completion. Exceptionality, 17, 5–15. Levine, P., & Nourse, S. W. (1998). What follow-up studies say about postschool life for young men and women with learning disabilities: A critical look at the literature. Journal of Learning Disabilities, 31(3), 212-233. Maughan, B. (1995). Long-term outcomes of developmental reading problems. Journal of Child Psychology & Psychiatry & Allied Disciplines, 36, 357–371. Muthén, L. K., & Muthén, B. O. (2010). Mplus User’s guide. (Sixth ed.). Los Angeles, CA: Muthén & Muthén. Newman, L., Wagner, M., Cameto, R., & Knokey, A.-M. (2009). The post-high school outcomes of youth with disabilities up to 4 years after high school: A report of findings from the National Longitudinal Transition Study-2 (NLTS2) (NCSER 2009-3017). Menlo Park, CA: SRI International.Retrievedfrom www.nlts2.org/ reports/2009_04/nlts2_report_2009_04_complete.pdf Reid, R., Gonzalez, J. E., Nordness, P. E., Trout, A., & Epstein, M. H. (2004). A meta-analysis of the academic status of students with emotional/behavioral disturbance. The Journal of Special Education, 38(3), 130–143.

Author Information

Leena Holopainen (presenting / submitting)
University of Eastern Finland
School of Educational Sciences and Psychology
Joensuu
University of Eastern Finland
Special Education
Joensuu

Update Modus of this Database

The current conference programme can be browsed in the conference management system (conftool) and, closer to the conference, in the conference app.
This database will be updated with the conference data after ECER. 

Search the ECER Programme

  • Search for keywords and phrases in "Text Search"
  • Restrict in which part of the abstracts to search in "Where to search"
  • Search for authors and in the respective field.
  • For planning your conference attendance, please use the conference app, which will be issued some weeks before the conference and the conference agenda provided in conftool.
  • If you are a session chair, best look up your chairing duties in the conference system (Conftool) or the app.