Supporting Factors for ICT Use in Primary Education – Secondary Analyses on TIMSS 2011 Data towards Students’ Mathematics Achievement
Author(s):
Conference:
ECER 2015
Format:
Paper

Session Information

WERA SES 08 C, Towards Mathematics Excellence in Education World-Wide

Paper Session

Time:
2015-09-10
09:00-10:30
Room:
305. [Main]
Chair:
Brian Hudson

Contribution

The implementation of ICT (information and communication technology) in teaching and learning has always been accompanied by an ongoing discussion about its potential to enhance students’ learning and learning outcomes (Cox et al., 2013). A review of literature and research shows that the integration of new technologies into educational practice proves to be rather challenging (Voogt et al., 2013). Research on the relevance of the use of ICT for learning and for competence acquisition reveals no or only small effects on students’ learning and a lack of research focusing on the conditions related to ICT use for enhancing the learning process as well as the assessment of learning outcomes (Erstad, 2008). At that, the relevance of ICT to enhance learning with regard to a focused, strategic and subject-specific usage of ICT constitutes a key factor in fostering teaching and learning in mathematics especially (Dick & Hollebrands, 2011). With particular regards to teaching and learning mathematics at school, it is well known that simply having access to technology is not sufficient (NCTM, 2011). Moreover, it becomes obvious that not only technology-related factors and conditions on the level of the individual – such as teachers’ attitudes or technological pedagogical content knowledge (Koehler et al., 2011) – but also determinants on the school level play an essential role in integrating digital media into teaching and learning (Eickelmann, 2011). Against this background, the present paper examines determinants on the school level for using new technologies in teaching mathematics as well as relations between the use of ICT and student mathematics achievement.

The following two research questions will constitute the focus of the presented research:

  1. What effects do school level determinants (such as school leadership, teachers’ attitudes and IT equipment) have on students’ use of computers in mathematics instruction in primary school in different educational systems in a context of international comparison?
  2. What is the relation between the conditions identified as most relevant for the use of computers in mathematics instruction in primary school and students’ mathematical performance?

Method

For a secondary analysis of the Trends in International Mathematics and Science Study (TIMSS 2011) data (4th graders) (Mullis, Martin, Foy & Arora, 2012) and supported by an analytical model on school effectiveness with digital media, this contribution will focus on the following school level factors: (1) school leadership, (2) the teaching staff’s attitudes and (3) the schools’ IT equipment. All of these factors have been identified as relevant throughout former research (e.g. Eickelmann, 2011). By means of multi-level structural equation models (cf. Heck & Thomas, 2009) this article examines effects of school characteristics on the use of ICT in mathematics classes in primary schools. In a second step, the relevance for students’ mathematical performance will be assessed. Aiming to explain which of the above-mentioned factors on the school level are essential to enhance students’ learning, students’ mathematical achievement data as well as questionnaire data from four countries (Hong Kong, the Netherlands, Norway, and the United States) are focalized in order to identify similarities between countries as well as country-specific hindering and supporting factors. The data relevant to school-level determinants derive from the TIMSS school questionnaire and as such represent information provided by the school principals. The information about teacher characteristics derives from the corresponding teacher questionnaire and will be aggregated on school level. It is therefore treated as information about the teaching staff of a school. Computer use in mathematics instruction is operationalized via teacher questionnaire data, modeling a latent factor (Brown, 2006) on the frequency of students doing the following three computer activities during mathematics lessons: ‘explore mathematics principles and concepts’, ‘practice skills and procedures’ and ‘look up ideas and information’. Student mathematics achievement measured by the TIMSS 2011-test is taken into account to operationalize the students’ performance in mathematics.

Expected Outcomes

Preparatory descriptive analyses reveal that Dutch primary school students use computers for the above-mentioned purposes in mathematics most frequently, while 4th Graders in Hong Kong tend to use ICT very rarely in this context. As to the first research question, results reveal on the one hand similarities between educational systems: In all four educational systems, the availability and accessibility of computers for instruction in mathematics appears to be the most relevant predictor for using ICT in mathematics more frequently for different purposes. But the results show on the other hand that the relevance of school level determinants also differs between educational systems. In Norway when teachers feel comfortable using computers it seems to be important to their use of ICT in teaching in mathematics. In the Netherlands, the sufficient availability of computer software for instruction in mathematics has a positive effect on ICT use. Also in the Netherlands, but as well in Hong Kong and the United States, an adequate support for integrating computers in teaching activities plays an important role. As to the second research question, the relation of the school-level determinants towards students’ mathematical achievement is examined, showing no significant effects in all four educational systems. In addition to specific findings for the considered countries, the international comparison therefore equally reveals strengths and developmental potentialities for the different educational systems. It became obvious that the question about availability of adequate IT-equipment is still crucial for integrating computers in mathematics instruction. The finding on the importance of support for integrating ICT in teaching indicates the relevance of school concepts and therefore the responsibility of the school leader. The identified differences and similarities will be discussed in the context of cultural and pedagogical differences as well as different international traditions in implementing new technologies in teaching and learning mathematics.

References

Brown, T.A. (2006). Confirmatory factor analysis for applied research. New York: Guilford Press. Cox, M.J., Niederhauser, D.S., Castillo, N., McDoghall, A.B., Sakamoto, T., & Roesvik, S. (2013). Researching IT in education. Journal of Computer Assisted Learning, 29(5), 474–486. Dick, T.P., & Hollebrands, K.F. (2011). Focus in high school mathematics: Technology to support reasoning and sense making. Reston, VA: NCTM. Eickelmann, B. (2011). Supportive and hindering factors to a sustainable implementation of ICT in schools. Journal for Educational Research Online, 3(1), 75–103. Erstad, O. (2008). Changing Assesment Practices and the Role of ICT. In J. Voogt, & G. Knezek (eds.), International handbook of information technology in primary and secondary education (pp. 181–194). New York, NY: Springer. Heck, R.H., & Thomas, S.L. (2009). An introduction to multilevel modeling techniques. New York, NY: Routledge. Koehler, M.J., Mishra, P., Bouck, E.C., DeSchryver, M., Kereluik, K., Shin, T.S., & Wolf, L.G. (2011). Deep-play: Developing TPACK for 21st century teachers. International Journal of Learning Sciences, 6(2), 146–163. Mullis, I.V.S., Martin, M.O., Foy, P., & Arora, A. (2012). TIMSS 2011. International Results in Mathematics. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College. NCTM [National Council of Teachers of Mathematics]. (2011). Technology in Teaching and Learning Mathematics. A Position of the National Council of Teachers of Mathematics. 17th October 2014. Retrieved from: http://www.nctm.org/about/content.aspx?id=31734. OECD. (2013). PISA 2012 Results: What students know and can do. Paris: OECD Publishing. Voogt, J., Erstad, O., Dede, C., & Mishra, P. (2013). Challenges to learning and schooling in the digital networked world of the 21st century. Journal of Computer Assisted Learning, 29(5), 403–413. Voogt, J. (2008). IT and curriculum processes: dilemmas and challenges. In J. Voogt & G. Knezek (eds.), International Handbook of Information Technology (S. 117-132). New York, NY: Springer.

Author Information

Kerstin Drossel (submitting)
Universität Paderborn, Germany
Julia Gerick (presenting)
TU Dortmund, Germany
Universität Paderborn, Germany

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.