Included but Isolated? Results from systematic high frequency observations of teacher-student and student-student interactions in inclusive classes
Conference:
ECER 2017
Format:
Paper

Session Information

04 SES 07 B, Perspectives of Students on Inclusive Support

Paper Session

Time:
2017-08-23
17:15-18:45
Room:
W6.16
Chair:
Fabio Dovigo

Contribution

Since the ratification of the Convention on the Rights of Persons with Disabilities, a growing number of countries are implementing the law in terms of an inclusive school system. This global trend (Garrote, Dessemontet & Opitz, 2017) of including rather than separating students with a special educational needs (SEN) diagnosis, thereby, receives support by a growing body of empirical research. International reviews (Lindsay, 2007; Ruijs & Peetsma, 2009) indicate that students with a SEN diagnosis performed better academically in inclusive school settings than in separated school settings. Thus, for the future it can be expected that an increasing number of students with a SEN diagnosis will attend a regular school (Dietze, 2013). Subsequently, the composition of a “typical” classroom will change with respect to at least academic, behavioral and social variables.

As classes become more diverse, changes in the instructional style and teaching methods are necessary to fully address the needs of all students. Two frequently proposed measures to address diversity are (1) the implementation of co-teaching as part of the collaboration in a multidisciplinary team (Friend, Cook, Hurley-Chamberlain & Shamberger, 2010) and (2) the fostering of high quality peer interactions, e.g. in form of peer tutoring approaches (Hattie, 2009,  pp. 186).

However, most of the past research on the association between co-teaching and students’ classroom interactions were not solely focused on inclusive classes and students with a SEN diagnosis. Furthermore, in most studies the observers had to make judgments about the teaching style and global rating scales were used for the observations. Thus, characteristics of the classes and student’s behavior during classes were accessed with a merely general perspective. Therefore, it is to question, whether these global measures could capture appropriately individual teacher-student or student-student interactions. One method particularly designed for this purpose is the “on the spot” observation method (Blatchford, Bassett & Brown, 2005). In contrast to methods relying on rather global judgments of observers, “on the spot” observations are designed to record ongoing behavior with a minimum of interpretation by the observer. To achieve this, only easy to spot behavior is recorded and the number of observable categories is predefined and restricted by the researcher. For a detailed view on the classroom processes the observations are done with a high frequency sampling scheme. Here, the interval between successive observations is only a few seconds long.

To date only a few studies have analyzed how co-teaching is related to the teacher-student and student-student interactions during a school lesson. Blatchford, Basset, Brown and Webster (2009) for example found in a sample of n = 27 primary schools, that the presence of a member of the school’s support staff had a positive impact on the students’ attention. However, at the same time the number of contacts with the classroom teacher declined. 

Since students with a SEN diagnosis need a more supportive teaching style compared to students without a SEN diagnosis, we assume that students with a SEN diagnosis have an increased likelihood of a contact with a member of the school’s support staff (Hypothesis I). At the same time, we assume that the increased frequency of contacts to a member of the school’s support staff isolates these students and that this subsequently reduces the likelihood of a peer contact for students with a SEN diagnosis compared to students without a SEN diagnosis (Hypothesis II).

Method

Data analyses are based on a sample of N = 246 students in ten inclusive primary school classes, where 18 (7.3%) students had a SEN diagnosis. Observations were made over a period of one and a half school year on three measurement occasions. On each occasion ten mathematics lessons and 10 German lessons were observed. To keep the data collection process efficient the observers were assisted by software specifically developed for the project. Before the start of the observation, eight students were randomly selected by the software. Then, each student was observed eight times for a period of ten seconds. Following such a ten second interval the observer was asked if the student’s behavior was task related or not, what the working context was (individual, group work, partner work, whole-class) and if there was a contact to a student, a teacher or a second educator (e.g. a member of the support staff). In case of a contact, the observer rated its quality and length on a two point scale (quality: high vs. normal; length: full 10s vs. less than 10s). Due to the short observation intervals and the high repetition rate 34504 single observations were made in total. To access the instrument’s reliability, before and after each of the three observation periods the observers were asked to rate a video sequence showing everyday classroom interactions. Then the inter-rater agreement (Cohen’s kappa) was calculated for each pair of observers. Subsequently Cohen’s kappa was averaged over all observers. On all three measurement occasions the inter-rater-reliability was Cohen’s kappa > 0.627.

Expected Outcomes

For a first and explorative analysis of the data, odds ratios were calculated. The odds-ratios indicated that students with a SEN diagnosis had an increased likelihood of interacting with a member of the school’s support staff compared to students without a SEN diagnosis (odds-ratio > 10). An odds-ratio of 10 means that students with a SEN diagnosis have a 10 times higher chance to interact with a member of the support staff than students without a SEN diagnosis. For example if a student with a SEN diagnosis has a chance of 10% to interact with a member of the support staff, then the chance for a student without a SEN diagnosis drops to 1%. This pattern of result was consistent since it was present on all three points of measurement and emerged for both mathematics and German. The data also supported the assumption that this decreases the likelihood of a peer contact (odds-ratios between 1.3 and 1.5). For the final presentation data analyzes are planned with a hierarchical multinomial probit model within the Bayesian statistical framework. To test whether students with a SEN diagnosis are more likely to interact with a second educator or not and whether this impacts the likelihood of peer contacts and contacts to the teacher, the students’ SEN diagnosis will be introduced into the regression model as a dummy coded variable. At the same time a second dummy variable will indicate whether a second educator was present during the observed lesson. An interaction term between the previous will control for any differences in the effect of a SEN diagnosis and the presence of a second educator on the likelihood to interact with the teacher or the peers.

References

Blatchford, P., Bassett, P., & Brown, P. (2005). Teachers’ and Pupils’ Behavior in Large and Small Classes: A Systematic Observation Study of Pupils Aged 10 and 11 Years. Journal of Educational Psychology, 97(3), 454–467. Blatchford, P., Bassett, P., Brown, P., & Webster, R. (2009). The effect of support staff on pupil engagement and individual attention. British Educational Research Journal, 35(5), 661–686. Dietze, T. (2013). Integration von Schülern mit sonderpädagogischem Förderbedarf in der Grundschul - zur Situation in den 16 Bundesländern [Integration of Students with Special Educational Needs - the Situation in the 16 Federal States of Germany]. Zeitschrift für Grundschulforschung, 6(1), 34–44. Friend, M., Cook, L., Hurley-Chamberlain, D., & Shamberger, C. (2010). Co-teaching: An illustration of the complexity of collaboration in special education. Journal of Educational and Psychological Consultation, 20(1), 9-27. Garrote, A., Sermier Dessemontet, R., & Moser Opitz, E. (2017). Facilitating the social participation of p upils with special educational needs in mainstream schools: A review of school - based interventions. Educational Research Review, 20, 12 – 23. Hattie, J. (2009). Visible learning : a synthesis of over 800 meta-analyses relating to achievement. London New York: Routledge. Lindsay, G. (2007). Educational psychology and the effectiveness of inclusive education/mainstreaming. British Journal of Educational Psychology, 77(1), 1 – 24. Ruijs, N. M., & Peetsma, T. T. D. (2009). Effects of inclusion on students with and without special educational needs reviewed. Educational Research Review, 4(2), 67–79.

Author Information

Thorsten Henke (presenting / submitting)
University of Potsdam, Germany
University of Potsdam, Germany
University of Potsdam, Germany
University of Potsdam, Germany
University of Potsdam, Germany

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