How teachers influence mathematics achievement? The perception of high and low achievers in middle school
Author(s):
Conference:
ECER 2014
Format:
Paper (Copy for Joint Session)

Session Information

03 SES 10 JS, Issues of Achievement and Curriculum in Mathematics Education

Paper Session, Joint Session NW 3 and NW 24

Time:
2014-09-04
15:30-17:00
Room:
B113 Sala de Aulas
Chair:
Ole Kristian Bergem

Contribution

According to recent data, Portugal faces major educational challenges, especially underachievement in mathematics (EACEA P9 Eurydice, 2011; Pisa, 2012). It is difficult to identify with certainty why some students achieve while others fail. Achievement is a complex issue, and most researchers investigate individual or small sets of factors in an effort to make their investigations more tractable. One can find an array of research results pointing to cognitive, metacognitive, motivational, (e.g., locus of control, expectations, academic engagement, self-efficacy, and goal orientations) and environmental (e.g., poverty, parenting practices, learning contexts, peer influence, and teachers) factors that influence academic achievement (Carr, Borkowski, & Maxwell, 1991; Desforges & Abouchaar, 2003).

The purpose of this study was to understand academic achievement in middle school by giving voice to mathematics’ high and low achievers, focusing on instructional domains. In particular, we believe that this interview to ninth grade students, before the transition to high school, with a rich history of academic performance, offers a better understanding of the students interpretations related to their learning process over time (Hadwin, Winne, Stockley, Nesbit, & Woszczyna, 2001; Cleary & Chen, 2009).

According to various authors, the teachers’ support is typically a combination of emotional and instructional support, related with the structure of the activities and the social and emotional classroom environment. Some researchers suggest that the communication skills to interact with students are as important as mathematics knowledge. These positive student-teacher relations perceived by students have an impact in the motivation to learn and as consequence in the behavioral, emotional and cognitive engagement in mathematics, increasing classroom participation, self-regulated learning strategies, (e.g., search for help), social responsibility, and decreasing the disruptive behavior and drop outs (Ahmed, Minnaert, van der Werf, & Kuyper, 2010).

Based in TIMSS data analysis of different countries a strong influence of teaching strategies on academic achievement was found (Aslam & Kingdon, 2011). The same conclusions were presented by PISA (2012) even when controlling the socio economic and demographic features of schools and students.

The learning process as well as academic achievement are significantly affected by teachers’ classroom management behavior efficacy, since inadequate behavior is one of the major problems in our 20th century classrooms. Previous research indicates that assessment methodologies constrain the learning-teaching process and can represent a source of students’ control. New insights about teachers’ support, besides what we know from the literature, can be revealed based in the analysis of the similarities and differences between the speeches of these two contrasting groups (Butler, 2002). 

Method

The data collection began by identifying the students who were low and high achievers in Mathematics. From year 5 to year 9, in Portuguese Compulsory Education (10 - 14 years old), school grades range from 1(very poor) to 5 (excellent). Students were identified as low achievers if their previous academic performance included at least five grades of 2 (poor) and not more than one grade of 3 (fair). High achievers were identified as those students whose academic record included at least three grades of 5 (excellent) and three grades of 4 (good). These 200 students attending grade 9 from public and private middle schools in the north of Portugal participated in a larger quantitative study. An interview was set with a random selection of 5% (10 high +10 low) of these two groups of students and their parents were contacted to obtain consent. The same semi-structured interview protocol was used at three different time points of a school year and was originally designed for this study to assess participants’ interpretations of how themselves, peers, parents and teachers’ behaviors´ influence their mathematics learning experiences thus far. Face-to-face interviews were conducted and recorded on a digital audio recorder, and ranged from 15 to 60 minutes in length. Interview data were transcribed, coded, and analyzed according to the guidelines set forth by Miles and Huberman (1994) using the NVivo 9.0 software program. A start list of codes was developed to mirror the study´s theoretical framework and guiding questions. In order to enhance reliability, 30% of total transcript material was coded by two independent raters, who discussed the findings and decided any discordant codes. We obtained a K=.83 (Cohen’s Kappa), which represents an excellent substantial agreement, since it is over .75, between the coders (Cohen, 1960). Comparing the reports of two different groups, high and low mathematics’ achievers at the end of the third Portuguese compulsory education cycle (9th grade), we focus our analysis in the influence of instructional factors on academic performance, given by their narratives.

Expected Outcomes

From the student’s perspective, achievement is not only a product of purely cognitive factors, but it is also affected by emotional, volitional and behavioral aspects, in a social and highly contextualized dynamics. Our results support previous research indicating that for all participants the quality of relationships with teachers can play an important role in influencing both achievement and self-regulated learning behaviors, especially during adolescence (Eshel & Kohavi, 2003; Grinsven & Tillema, 2006; Ryan & Patrick, 2001). This influence is reciprocal, since good grades and interest by the subject have positive impact on the student-teacher relation. In addition the low achievers group identified the classroom behavior as a relevant dimension on this relationship. Both groups felt pressure from parents and teachers to succeed in the first national exam that marks the end of Portuguese Compulsory Education, reinforcing focus on results and competition, instead of the development of learning skills based on descriptive feedback (Wang & Holcombe, 2010). Students emphasize the fact that mathematics teachers spend a considerable portion of time preparing students for exams. The lack of teachers’ socio-emotional and learning support is one of the reasons pointed out by low achievers to explain the underachievement, besides disruptive behavior of peers and low volition. On the other hand, teaching strategies including homework, assessments, time, tasks and behaviors management were described as efficient by high achievers and inadequate by low achievers, similar to previous studies (Yin, Lee, & Zhang, 2009). We expected to find more references related to school resources, like technology, pointed out as a strategy to improve student’s motivation. High achievers, possibly more aware of the educational system’ functioning, identified organizational and pedagogical orientations (e.g., academic merit awards, teachers’ assessment).

References

Ahmed, W., Minnaert, A., van der Werf, G., & Kuyper, H. (2010). Perceived social support and early adolescents’achievement: The mediational roles of motivational beliefs and emotions. Journal of Youth Adolescence , 39, 36-46. Aslam, M. & Kingdon, G. (2011). What can teachers do to raise pupil achievement? Economics of Education Review, 30, 559-574. Butler, D. L. (2002). Qualitative approaches to investigating self-regulated learning: Contributions and challenges. Educational Psychologist, 37(1), 59-63. Carr, M., Borkowski, J. G. & Maxwell, S. E. (1991). Motivational components of underachievement. Developmental Psychology, 27(1), 108-118. Cleary T., & Chen, P. (2009). Self regulation, motivation, and math achievement in middle school: Variations across grade level and math context. Journal of School Psychology, 47(5), 291-314. Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37-46. Desforges, C., & Abouchaar, A. (2003). The impact of parental involvement, parental support and family education on pupil achievement and adjustment: A literature review. Nottingham, UK: Queen‘s Printer. Education, Audiovisual and Culture Executive Agency (EACEA P9 Eurydice). (2011). Grade Retention during Compulsory Education in Europe: Regulations and Statistics. Retrieved from http://eacea.ec.europa.eu/education/eurydice/documents/thematic_reports/126EN.pdf Eshel, Y., & Kohavi, R. (2003). Perceived classroom control, self-regulated learning strategies, and academic achievement. Educational Psychology, 23, 249-260. Grinsven, L., & Tillema, H. (2006). Learning opportunities to support student self-regulation: Comparing different instructional formats. Educational Research, 48, 77–91. Hadwin, A. F.,Winne, P. H., Stockley, D. B., Nesbit, J. C., & Woszczyna, C. (2001). Context moderates students' self-reports about how they study. Journal of Educational Psychology, 93, 477−487. Miles, M. B., & Huberman, A. M. (1994). Qualitative Data Analysis: An Expanded Sourcebook. (2nd ed.) Thousand Oaks, CA: Sage. OECD (2013). PISA 2012 Results: What Students Know and Can Do Student Performance in Mathematics, Reading and Science (Volume I). Retrieved from http://www.uvm.dk/~/UVM-DK/Content/News/Udd/Folke/2013/Dec/~/media/UVM/Filer/Udd/Folke/PDF13/131203%20PISA%20Engelsk.ashx Ryan, A. M., & Patrick, H. (2001). The classroom social environment and changes in adolescents’ motivation and engagement during middle school. American Educational Research Journal, 28, 437–460. Wang, M., & Holcombe, R. (2010). Adolescents’ perceptions of school environment, engagement, and academic achievement in middle school. American Educational Research Journal, 47 (3), 633-662. doi:10.3102/0002831209361209 Yin, H., Lee J. C. K., & Zhang, Z. (2009). Examining Hong Kong students’ motivational beliefs, strategy use and their relations wit two relational factors in classrooms. Education Psychology, 29(6), 685-700.

Author Information

Ana Salgado (presenting / submitting)
Universidade do Minho, Portugal
Universidade do Minho, Portugal
Universidade da Beira Interior, Portugal

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