Using Large-Scale Assessments to
Improve Schools
Andrés Sandoval-Hernández – IEA DPC
International Conference “Improve the school”
Naples, May 14-15, 2015
Contents
• About the IEA DPC
• Introduction to PIRLS and TIMSS
• Benchmarking function
– International Reports PIRLS and TIMSS 2011
– Report on relationships between achievement in Math, Science and
Reading
• Analytic function
– School effectiveness factors for socially advantaged and disadvantaged
students in European countries
• Evaluation tools for teachers
– Use of released items
About the IEA DPC
Who we are
• International Association for the
Evaluation of Educational Achievement
- Data Processing and Research Center
• Located in Hamburg, Germany
• Association of countries
What we do
• International Large scale assessments
in education
• Main studies: TIMSS and PIRLS (2011)
• Major activities are comparative
educational studies, research and
training
• Almost 70 country members
Introduction to PIRLS and TIMSS
Major postulates of the IEA studies:
– The quality of an educational system should be measured
by what students know
– What students know is related to the characteristics of the
System
– Assessments should be school based and curriculum
driven
What do PIRLS and TIMSS measure?
– Achievement in Mathematics, Science and Reading
– Student characteristics and learning environment (family,
school, context)
Introduction to PIRLS and TIMSS
Who uses this information?
1. Researchers
2. Educational policy makers
3. Teachers and principals
4. Parents
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How do they use the information? What do they do
with it?
Benchmarking function:
International Reports
PIRLS and TIMSS 2011
PIRLS International Report
Progress in International Reading Literacy Study
PIRLS International Report
Further increases in performance than decreases
- Compared to 2001, ten
countries increased their
average.
Compared to 2006,
thirteen countries
increased their average.
Only four countries
recorded declines:
Bulgaria, Lithuania, the
Netherlands and Sweden.
TIMSS International Report (Mathematics 4th grade)
Trends in International Mathematics and Science Study
TIMSS International Report (Mathematics 8th grade)
Trends in International Mathematics and Science Study
TIMSS International Report
More increases than decreases in progress in 4th grade, but not 8th grade
- In 4th grade, of the 17 countries with comparable data, thirteen
recorded increases and only three recorded decreases.
- In 8th grade, of the 25 countries with comparable data, nine
recorded increases and eleven recorded decreases.
13
TIMSS International Report
Increases in Mathematic Achievement (8th grade) in Italy between 1999 and 2011
14
TIMSS International Report
Increases in Mathematic Achievement (8th grade) in Singapore and Italy between 1999 and 2011
• Singapore: Increase of 6 Score Points between 1999 and 2011
• Italy: Increase of 16 Score Points between 1999 and 2011
604 605 593
611
479 484 480 495
0
100
200
300
400
500
600
700
1999 2003 2007 2011
Mathematic Achievement from 1999 to 2011
Singapore
Italy
TIMSS International Report (Science 4th grade)
Trends in International Mathematics and Science Study
TIMSS International Report (Science 8th grade)
Trends in International Mathematics and Science Study
TIMSS International Report
More increases than decreases in performance particularly in the 4th grade
- In 4th grade, of the 17 countries with comparable data, eight
reported increases and only one reported decreases.
- In 8th grade, of the 25 countries with comparable data, eleven
reported increases and six reported decreases.
18
TIMSS International Report
Results in Science Achievement (8th grade) in Italy between 1999 and 2011 remain stable
19
TIMSS International Report
Increases in Science Achievement (8th grade) in Singapore and Italy between 1999 and 2011
568 578 567
590
493 491 495 501
0
100
200
300
400
500
600
700
1999 2003 2007 2011
Science Achievement from 1999 to 2011
Singapore
Italy
• Singapore: Increase of 22 Score Points between 1999 and 2011
• Italy: Increase of 8 Score Points between 1999 and 2011
Benchmarking function:
Report on relationships between
achievement in Math, Science and Reading
20
Relationships between achievement in Mathematics, Science and
Reading
• The analysis includes only countries that applied
PIRLS and TIMSS to the same students (4th grade)
• It is an edited volume with four chapters
– Profiles of achievement in mathematics, reading and
science
– The impact of reading skill achievement in TIMSS (math
and science)
– Effective schools in mathematics, reading and science
– The effects of home background on academic achievement
Relationships between achievement in Mathematics, Science and Reading
Achievement Profiles
Relationships between achievement in Mathematics, Science and Reading
Achievement Profiles
Relationships between achievement in Mathematics, Science and Reading
Achievement Profiles
Relationships between achievement in Mathematics, Science and Reading
Achievement Profiles
Analytic function:
A Comparison of School Effectiveness
Factors for Socially Advantaged and
Disadvantaged Students in ten European
Countries in TIMSS-2011
26
Objectives
• To what extent an Educational Effectiveness Research model works similarly
for socially advantaged and disadvantaged students?
Methods
• Using HLM analyses on the TIMSS 2011 dataset, the fit of the EER model is
evaluated in two sub-samples:
1. Advantaged Students
2. Disadvantaged Students
• comparing the results across ten European countries, including Italy
Results
• EER model fit better the data of advantaged students in most countries and
in both levels (i.e. student and school level)
A Comparison of School Effectiveness Factors for Socially Advantaged and
Disadvantaged Students
Control
• Resources for learning at
home
• Early reading and math
skills
Analysis
• Security and order
atmosphere
• Support for academic
success
• Adequate infrastructure
• Trained teachers
• Well-equipped classrooms
• Effective instruction
Relationships between achievement in Mathematics, Science and Reading
Effective schools in Mathematics, Science and Reading
29
A Comparison of School Effectiveness Factors for Socially Advantaged and
Disadvantaged Students
Summary of results for all countries
Results for Italy:
• Overall, the EER model fits the sample of advantaged
students better (on both levels), but…
Evaluation tools for teachers:
Use of released items
30
Use of released items
• Teachers can use released items in different ways
– To evaluate specific processes, such as processes for Reading
Comprehension:
- Make direct inferences
- Locate and obtain explicit information
- Interpret and integrate ideas and information
– Teachers can give the items to the students and grade them
using the corresponding guides
– Teachers can even compare the percentage of students who
responded correctly with the international average
For feedback on the teaching-learning process
– When the concepts of the class match the items released,
the teacher can use the same procedure to get immediate
feedback on their performance
To understand misunderstandings or confusions
– The teacher can analyze incorrect or partially correct answers
in its class to understand possible confusion and reinforce a
specific topic
To identify individual difficulties
– As a basis for planning remedial actions
Use of released items
Use of released items
Example for schools: Reading comprehension
Enemy Pie
Written by Derek Munson,
Illustrated by Calahan King
Use of released items
Example for schools: Mathematics
Use of released items
Example for schools: Science
Publications:
Mullis, I.V.S., Martin, M.O., Foy, P., & Drucker, K.T. (2012). PIRLS 2011 International Results in Reading. Chestnut Hill,
MA: TIMSS & PIRLS International Study Center, Boston College.
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.
Martin, M.O., Mullis, I.V.S., Foy, P., & Stanco, G.M. (2012). TIMSS 2011 International Results in Science. Chestnut
Hill, MA: TIMSS & PIRLS International Study Center, Boston College.
Martin, M.O. & Mullis, I.V.S. (Eds.). (2013). TIMSS and PIRLS 2011: Relationships among Reading, Mathematics, and
Science Achievement at the Fourth Grade Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston
College.
Sandoval-Hernandez, A., Castejon-Company, A. & Aghakasari, P. (2015). A Comparison of School Effectiveness
Factors for Socially Advantaged and Disadvantaged Students in ten European Countries in TIMSS 2011. Šolsko polje
25 (3-4), 61-96.
Nielsen, T. & Angell, C. (2014). The importance of discourse and attitude in learning astronomy: A mixed methods
approach to illuminate the results of the TIMSS 2011 survey. NorDiNa 10(1), 16-31.
More Information:
www.iea-dpc.de | www.iea.nl
FB: www.facebook.com/IEARANDA

Using Large Scale Assessments to improve schools

  • 1.
    Using Large-Scale Assessmentsto Improve Schools Andrés Sandoval-Hernández – IEA DPC International Conference “Improve the school” Naples, May 14-15, 2015
  • 2.
    Contents • About theIEA DPC • Introduction to PIRLS and TIMSS • Benchmarking function – International Reports PIRLS and TIMSS 2011 – Report on relationships between achievement in Math, Science and Reading • Analytic function – School effectiveness factors for socially advantaged and disadvantaged students in European countries • Evaluation tools for teachers – Use of released items
  • 3.
    About the IEADPC Who we are • International Association for the Evaluation of Educational Achievement - Data Processing and Research Center • Located in Hamburg, Germany • Association of countries What we do • International Large scale assessments in education • Main studies: TIMSS and PIRLS (2011) • Major activities are comparative educational studies, research and training • Almost 70 country members
  • 4.
    Introduction to PIRLSand TIMSS Major postulates of the IEA studies: – The quality of an educational system should be measured by what students know – What students know is related to the characteristics of the System – Assessments should be school based and curriculum driven What do PIRLS and TIMSS measure? – Achievement in Mathematics, Science and Reading – Student characteristics and learning environment (family, school, context)
  • 5.
    Introduction to PIRLSand TIMSS Who uses this information? 1. Researchers 2. Educational policy makers 3. Teachers and principals 4. Parents
  • 6.
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(2012). The effect of teacher–student gender matching: Evidence from OECD countries. Economics of Education Review, 31(3), 54–67. Doi:10.1016/j.econedurev.2012.02.002 • Choi, K., Choi, T., & Mcaninch, M. (2012). A comparative investigation of the presence of psychological conditions in high achieving eighth graders from TIMSS 2007 mathematics. ZDM, 44(2), 189–199. Doi:10.1007/S11858-012-0401-6 • Dodeen, H., Abdelfattah, F., Shumrani, S., & Hilal, M. A. (2012). The effects of teachers’ qualifications, practices, and perceptions on student achievement in TIMSS mathematics: a comparison of two countries. International Journal of Testing, 12(1), 61–77. Doi:10.1080/15305058.2011.621568 • Gültekin, S., & Demirtaşli, N. Ç. (2012). Çoktan seçmeli, açik uçlu ve karma testlerden sağlanan bilginin madde tepki kuramina dayali olarak karşilaştirilmasi. (in Turkish). Ilkogretim Online, 11(1), 251–263. • Gür, B. S., Çelik, Z., & Özoğlu, M. (2012). Policy options for turkey: a critique of the interpretation and utilization of PISA results in Turkey. Journal of Education Policy, 27(1), 1–21. Doi:10.1080/02680939.2011.595509 • House, J. D. (2012). Motivational effects of computers and classroom instruction for science learning: an examination of eighth-grade students in the United States and Korea in the TIMSS 2007 Assessment. International Journal of Instructional Media, 39(2), 169–179. • House, J. D., & Telese, J. A. (2012). Effects of mathematics lesson activities and computer use on algebra achievement of eighth-grade students in the United States and japan: findings from the TIMSS 2007 Assessment. International Journal of Instructional Media, 39(1), 69–81. • Jianjun Wang. (2012). A comparative study of science achievement and self-concept during a historical transition. International Education Studies, 5(1), 137–146. Doi:10.5539/ies.v5n1p137 • Kwon, O., & Ju, M.-K. (2012). Standards for professionalization of mathematics teachers: policy, curricula, and national teacher employment test in Korea. ZDM, 44(2), 211–222. Doi:10.1007/s11858-012-0384-3 • Lloyd, D., & Pratt, A. (2012). The new OFSTED framework - Implications for teaching and learning. Teaching Business & Economics, 16(2), 28–29. • Männamaa, M., Kikas, E., Peets, K., & Palu, A. (2012). Cognitive correlates of math skills in third-grade students. Educational Psychology, 32(1), 21– 44. Doi:10.1080/01443410.2011.621713 • Park, H., Lawson, D., & Williams, H. E. (2012). Relations between technology, parent education, self-confidence, and academic aspiration of Hispanic immigrant students. Journal of Educational Computing Research, 46(3), 255–265. • Schmidt, W. H. (2012). At the precipice: The story of mathematics education in the United States. Peabody Journal of Education, 87(1), 133–156. Doi:10.1080/0161956x.2012.642280 • Serrano, A. M. (2012). 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Journal of Baltic Science Education, 3(1). • Cavanagh, S. (2012). Complex policy options abound amid international comparisons. Education Week, 31(16), 6–10. • Chen, S. F., Lin, C. Y., Wang, J. R., Lin, S. W., & Kao, H. L. (2012). A cross-grade comparison to examine the context effect on the relationships among family resources, school climate, learning participation, science attitude, and science achievement based on TIMSS 2003 in Taiwan. International Journal of Science Education, 1-18. • Falch, T., & Fischer, J. A. V. (2012). Public sector decentralization and school performance: International evidence. Economics Letters, 114(3), 276–279. • Sparks, S. D. (2012). Matching up states, countries gives fresh take on performance. Education Week, 31(16), 36–38. • Wang, Z., Osterlind, S., & Bergin, D. (N.D.). Building mathematics achievement models in four countries using TIMSS 2003. International Journal of Science and Mathematics Education, 1–28. Doi:10.1007/s10763-011-9328-6 • Brozo, W. 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European Educational Research Journal, 11(1), 96–110. • Cavanagh, S. (2012). Complex policy options abound amid international comparisons. Education Week, 31(16), 6–10 • Blömeke, S., Suhl, U., Kaiser, G., & Döhrmann, M. (2012). Family background, entry selectivity and opportunities to learn: what matters in primary teacher education? An international comparison of fifteen countries. Teaching & Teacher Education, 28(1), 44–55. Doi:10.1016/j.tate.2011.08.006 • Sawchuk, S. (2012). Teacher training has key role to play. Education Week, 31(16), 14. • Döhrmann, M., Kaiser, G., & Blömeke, S. (2012). The conceptualization of mathematics competencies in the International Teacher Education Study TEDS-M. ZDM, 44(3), 325–340. Doi:10.1007/s11858-012-0432-z • Felbrich, A., Kaiser, G., & Schmotz, C. (2012). The cultural dimension of beliefs: An investigation of future primary teachers’ epistemological beliefs concerning the nature of mathematics in 15 countries. ZDM, 44(3), 355–366. Doi: 10.1007/s11858-012-0418-x • König, J., & Blömeke, S. (2012). Future teachers’ general pedagogical knowledge from a comparative perspective: Does school experience matter? ZDM, 44(3), 341–354. Doi: 10.1007/s11858-012-0394-1 • Blömeke, S., & Delaney, S. (2012). Assessment of teacher knowledge across countries: A review of the state of research. ZDM, 44(3), 223–247. Doi:10.1007/s11858-012-0429-7 • Schmidt, W. H. (2012). At the precipice: the story of mathematics education in the United States. Peabody Journal of Education, 87(1), 133– 156. Doi:10.1080/0161956x.2012.642280 • Blömeke, S., & Kaiser, G. (2012). Homogeneity or Heterogeneity? Profiles of opportunities to learn in primary teacher education and their relationship to cultural context and outcomes. ZDM, 44(3), 249–264. Doi:10.1007/s11858-011-0378-6 • Cole, Y. (2012). Assessing elemental validity: the transfer and use of mathematical knowledge for teaching measures in Ghana. ZDM, 44(3), 415–426. Doi:10.1007/s11858-012-0380-7 • Delaney, S. (2012). A validation study of the use of mathematical knowledge for teaching measures in Ireland. ZDM, 44(3), 427–441. Doi:10.1007/s11858-012-0382-5 • Fauskanger, J., Jakobsen, A., Mosvold, R., & Bjuland, R. (2012). Analysis of psychometric properties as part of an iterative adaptation process of MKT items for use in other countries. ZDM, 44(3), 387–399. Doi:10.1007/s11858-012-0403-4 • Senk, S., Tatto, M., Reckase, M., Rowley, G., Peck, R., & Bankov, K. (2012). Knowledge of future primary teachers for teaching mathematics: An international comparative study. ZDM, 44(3), 307–324. Doi: 10.1007/s11858-012-0400-7 • Barber, C., & Torney-Purta, J. (2012). Comparing attitudes in the 1999 and 2009 IEA Civic and Citizenship Education Studies: Opportunities and limitations illustrated in five countries. Journal of Social Science Education, 11(1), 47–63. • Cosgrove, J., & Gilleece, L. (2012). An international perspective on civic participation in irish post-primary schools: Results from ICCS. Irish Educational Studies, 1–19. Doi:10.1080/03323315.2012.664948 • Gilleece, L., & Cosgrove, J. (2012). Student civic participation in school: what makes a difference in Ireland? Education, Citizenship and Social Justice. Doi:10.1177/1746197912448715 • Ince, B. (2012). Citizenship education in turkey: inclusive or exclusive. Oxford Review of Education, 38(2), 115–131. Doi:10.1080/03054985.2011.651314 • Liljestrand, J. (2012). Citizenship education in discussions concerning political issues. Utbildning & Demokrati, 21(1), 77–95. • Ljunggren, C., & Unemar Öst, I. (2012). Teachers’ dealings with controversial issues – a typology from the 2009 IEA/ICCS study. PCS – Politics, Culture and Socialization, 2(3). • Quaynor, L. J. (2012). Citizenship education in post-conflict contexts: a review of the literature. Education, Citizenship and Social Justice, 7(1), 33–57. Doi:10.1177/1746197911432593 • Kennedy, K. J. (2012). Asian students’ citizenship values and their relationship to civic understanding: An exploratory study comparing Thai and Hong Kong students. Research in Comparative and International Education, 7(2), 248–259. • Cosgrove, J., & Gilleece, L. (2012). An international perspective on civic participation in Irish post-primary schools: Results from ICCS. Irish Educational Studies, 31(4), 377–395. • Gilleece, L., & Cosgrove, J. (2012). Student civic participation in school: What makes a difference in Ireland? Education, Citizenship & Social Justice, 7(3), 225–239. • Macháček, L. (2012). Education of the school youth to democratic citizenship in Slovakia. Mokinių Demokratinio Pilietiškumo Ugdymas Slovakijoje., (107), 110–117. • House, J. D. (2012). Effects of computer engagement and classroom instructional activities on reading achievement of a national sample of Chinese- American elementary- school students: results from the TIMSS 2006 assessment. International Journal of Instructional Media, 39(4), 345–354. • Johansson, S., Myrberg, E., & Rosén, M. (2012). Teachers and tests: assessing pupils’ reading achievement in primary schools. Educational Research & Evaluation, 18(8), 693–711. • Lee, M., & Hallinger, P. (2012). National contexts influencing principals’ time use and allocation: Economic development, societal culture, and educational system. School Effectiveness & School Improvement, 23(4), 461–482. • Sparfeldt, J. R., Kimmel, R., Löwenkamp, L., Steingräber, A., & Rost, D. H. (2012). Not read, but nevertheless solved? Three experiments on PIRLS multiple choice reading comprehension test items. Educational Assessment, 17(4), 214–232. • Abu-Hilal, M. M., Abdelfattah, F. A., Alshumrani, S. A., Abduljabbar, A. S., & Marsh, H. W. (N.D.). Construct validity of self-concept in TIMSS’s student background questionnaire: a test of separation and conflation of cognitive and affective dimensions of self-concept among Saudi eighth graders. European Journal of Psychology of Education, 1–20. Doi:10.1007/s10212-012-0162-1 among family resources, school climate, learning participation, science attitude, and science achievement based on TIMSS 2003in Taiwan. International Journal of Science Education, 34(14), 2089–2106. Doi:10.1080/09500693.2012.701352 • Glynn, S. M. (2012). International Assessment: A RASCH model and teachers’ evaluation of TIMSS science achievement items. Journal of Research in Science Teaching, 49(10), 1321–1344. • Hansson, Å. (2012). The meaning of mathematics instruction in multilingual classrooms: Analyzing the importance of responsibility for learning. Educational Studies in Mathematics, 81(1), 103–125. • Hee Kyung Hong. (2012). 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International Journal of Testing, 13(2), 152–174. • Barber, C., Fennelly, K., & Torney-Purta, J. (2013). Nationalism and Support for Immigrants’ Rights Among Adolescents in 25 Countries. Applied Developmental Science, 17(2), 60–75. • Lauglo, J.013). Do more knowledgeable adolescents have more rationally based civic attitudes? Analysis of 38 countries. Educational Psychology, 33(3), 255–275. • Schulz, W., Fraillon, J., & Ainley, J. (2013). Measuring young people’s understanding of civics and citizenship in a cross-national study. Educational Psychology, 33(3), 327–349. • Gustafsson, J.-E. (2013). Causal inference in educational effectiveness research: a comparison of three methods to investigate effects of homework on student achievement. School Effectiveness & School Improvement, 24(3), 275–295. • Marsh, H. W. &Amp;Rft Au=Abduljabbar. (2013). Factorial, convergent, and discriminant validity of TIMSS math and science motivation measures: A comparison of Arab and Anglo-Saxon countries. The Journal of Educational Psychology, 105(1), 108–128 • Woolard, J. C. (2013). Prelude to the Common Core: Internationally Benchmarking a State’s Math Standards. Educational Policy, 27(4), 615– 644.A three-level multilevel analysis of Singaporean eighth-graders science achievement. Learning & Individual Differences, 26, 212–220. • Blömeke, S., Suhl, U., & Döhrmann, M. (2013). Assessing Strengths and Weaknesses of Teacher Knowledge in Asia, Eastern Europe, and Western Countries: Differential Item Functioning in TEDS-M. International Journal of Science & Mathematics Education, 11(4), 795–817. • Cañadas, M., Gómez, P., & Rico, L. (2013). Structure of Primary Mathematics Teacher Education Programs in Spain. International Journal of Science & Mathematics Education, 11(4), 879–894. • Hsieh, F.-J. (2013). Strengthening the Conceptualization of Mathematics Pedagogical Content Knowledge for International Studies: A Taiwanese Perspective. International Journal of Science & Mathematics Education, 11(4), 923–947. • Hsieh, F.-J., Wong, K., & Wang, T.-Y. (2013). Are Taiwanese and Singaporean Future Teachers Similar in Their Mathematics-Related Teaching Competencies? International Journal of Science & Mathematics Education, 11(4), 819–846. • Laschke, C. (2013). Effects of Future Mathematics Teachers’ Affective, Cognitive and Socio-Demographic Characteristics on Their Knowledge at the End of the Teacher Education in Germany and Taiwan. International Journal of Science & Mathematics Education, 11(4), 895–921. • Wang, T.-Y., & Tang, S.-J. (2013). Profiles of Opportunities to Learn for Teds-M Future Secondary Mathematics Teachers. International Journal of Science & Mathematics Education, 11(4), 847–877. • Zuckerman, G. A., Kovaleva, G. S., & Kuznetsova, M. I. (2013). Between PIRLS and PISA: The advancement of reading literacy in a 10–15-year- old cohort. Learning & Individual Differences, 26, 64–73. • Nemeržitski, S., Loogma, K., Heinla, E., & Eisenschmidt, E. (2013). Constructing model of teachers’ innovative behaviour in school environment. Teachers & Teaching, 19(4), 398–418. How do they use the information? What do they do with it?
  • 7.
  • 8.
    PIRLS International Report Progressin International Reading Literacy Study
  • 9.
    PIRLS International Report Furtherincreases in performance than decreases - Compared to 2001, ten countries increased their average. Compared to 2006, thirteen countries increased their average. Only four countries recorded declines: Bulgaria, Lithuania, the Netherlands and Sweden.
  • 10.
    TIMSS International Report(Mathematics 4th grade) Trends in International Mathematics and Science Study
  • 11.
    TIMSS International Report(Mathematics 8th grade) Trends in International Mathematics and Science Study
  • 12.
    TIMSS International Report Moreincreases than decreases in progress in 4th grade, but not 8th grade - In 4th grade, of the 17 countries with comparable data, thirteen recorded increases and only three recorded decreases. - In 8th grade, of the 25 countries with comparable data, nine recorded increases and eleven recorded decreases.
  • 13.
    13 TIMSS International Report Increasesin Mathematic Achievement (8th grade) in Italy between 1999 and 2011
  • 14.
    14 TIMSS International Report Increasesin Mathematic Achievement (8th grade) in Singapore and Italy between 1999 and 2011 • Singapore: Increase of 6 Score Points between 1999 and 2011 • Italy: Increase of 16 Score Points between 1999 and 2011 604 605 593 611 479 484 480 495 0 100 200 300 400 500 600 700 1999 2003 2007 2011 Mathematic Achievement from 1999 to 2011 Singapore Italy
  • 15.
    TIMSS International Report(Science 4th grade) Trends in International Mathematics and Science Study
  • 16.
    TIMSS International Report(Science 8th grade) Trends in International Mathematics and Science Study
  • 17.
    TIMSS International Report Moreincreases than decreases in performance particularly in the 4th grade - In 4th grade, of the 17 countries with comparable data, eight reported increases and only one reported decreases. - In 8th grade, of the 25 countries with comparable data, eleven reported increases and six reported decreases.
  • 18.
    18 TIMSS International Report Resultsin Science Achievement (8th grade) in Italy between 1999 and 2011 remain stable
  • 19.
    19 TIMSS International Report Increasesin Science Achievement (8th grade) in Singapore and Italy between 1999 and 2011 568 578 567 590 493 491 495 501 0 100 200 300 400 500 600 700 1999 2003 2007 2011 Science Achievement from 1999 to 2011 Singapore Italy • Singapore: Increase of 22 Score Points between 1999 and 2011 • Italy: Increase of 8 Score Points between 1999 and 2011
  • 20.
    Benchmarking function: Report onrelationships between achievement in Math, Science and Reading 20
  • 21.
    Relationships between achievementin Mathematics, Science and Reading • The analysis includes only countries that applied PIRLS and TIMSS to the same students (4th grade) • It is an edited volume with four chapters – Profiles of achievement in mathematics, reading and science – The impact of reading skill achievement in TIMSS (math and science) – Effective schools in mathematics, reading and science – The effects of home background on academic achievement
  • 22.
    Relationships between achievementin Mathematics, Science and Reading Achievement Profiles
  • 23.
    Relationships between achievementin Mathematics, Science and Reading Achievement Profiles
  • 24.
    Relationships between achievementin Mathematics, Science and Reading Achievement Profiles
  • 25.
    Relationships between achievementin Mathematics, Science and Reading Achievement Profiles
  • 26.
    Analytic function: A Comparisonof School Effectiveness Factors for Socially Advantaged and Disadvantaged Students in ten European Countries in TIMSS-2011 26
  • 27.
    Objectives • To whatextent an Educational Effectiveness Research model works similarly for socially advantaged and disadvantaged students? Methods • Using HLM analyses on the TIMSS 2011 dataset, the fit of the EER model is evaluated in two sub-samples: 1. Advantaged Students 2. Disadvantaged Students • comparing the results across ten European countries, including Italy Results • EER model fit better the data of advantaged students in most countries and in both levels (i.e. student and school level) A Comparison of School Effectiveness Factors for Socially Advantaged and Disadvantaged Students
  • 28.
    Control • Resources forlearning at home • Early reading and math skills Analysis • Security and order atmosphere • Support for academic success • Adequate infrastructure • Trained teachers • Well-equipped classrooms • Effective instruction Relationships between achievement in Mathematics, Science and Reading Effective schools in Mathematics, Science and Reading
  • 29.
    29 A Comparison ofSchool Effectiveness Factors for Socially Advantaged and Disadvantaged Students Summary of results for all countries Results for Italy: • Overall, the EER model fits the sample of advantaged students better (on both levels), but…
  • 30.
    Evaluation tools forteachers: Use of released items 30
  • 31.
    Use of releaseditems • Teachers can use released items in different ways – To evaluate specific processes, such as processes for Reading Comprehension: - Make direct inferences - Locate and obtain explicit information - Interpret and integrate ideas and information – Teachers can give the items to the students and grade them using the corresponding guides – Teachers can even compare the percentage of students who responded correctly with the international average
  • 32.
    For feedback onthe teaching-learning process – When the concepts of the class match the items released, the teacher can use the same procedure to get immediate feedback on their performance To understand misunderstandings or confusions – The teacher can analyze incorrect or partially correct answers in its class to understand possible confusion and reinforce a specific topic To identify individual difficulties – As a basis for planning remedial actions Use of released items
  • 33.
    Use of releaseditems Example for schools: Reading comprehension Enemy Pie Written by Derek Munson, Illustrated by Calahan King
  • 34.
    Use of releaseditems Example for schools: Mathematics
  • 35.
    Use of releaseditems Example for schools: Science
  • 36.
    Publications: Mullis, I.V.S., Martin,M.O., Foy, P., & Drucker, K.T. (2012). PIRLS 2011 International Results in Reading. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College. 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. Martin, M.O., Mullis, I.V.S., Foy, P., & Stanco, G.M. (2012). TIMSS 2011 International Results in Science. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College. Martin, M.O. & Mullis, I.V.S. (Eds.). (2013). TIMSS and PIRLS 2011: Relationships among Reading, Mathematics, and Science Achievement at the Fourth Grade Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College. Sandoval-Hernandez, A., Castejon-Company, A. & Aghakasari, P. (2015). A Comparison of School Effectiveness Factors for Socially Advantaged and Disadvantaged Students in ten European Countries in TIMSS 2011. Šolsko polje 25 (3-4), 61-96. Nielsen, T. & Angell, C. (2014). The importance of discourse and attitude in learning astronomy: A mixed methods approach to illuminate the results of the TIMSS 2011 survey. NorDiNa 10(1), 16-31. More Information: www.iea-dpc.de | www.iea.nl FB: www.facebook.com/IEARANDA