A Covid-19 e a volta às aulas: ouvindo as evidências

João Batista Araujo e Oliveira, Matheus Gomes, Thais Barcellos

Resumo


Paralisadas pelo pânico decorrente da pandemia provocada pela Covid-19, o fechamento das escolas trará consequências para a aprendizagem dos alunos. Este artigo examina situações de paralisação, uso do tempo e impacto de tecnologias no desempenho escolar. O exame das evidências sugere como pouco promissoras as estratégias de aumento intensivo de tempo ou recurso a tecnologias. Caminhos mais promissores estariam associados a diagnósticos, intervenções estruturadas mais adequadas ao perfil dos professores, melhor aproveitamento do tempo, uso judicioso dos deveres de casa, redução do absenteísmo e tutoria intensiva de alta qualidade focada nos alunos de maior risco.


Palavras-chave


Covid-19; Interrupção do Calendário Escolar; Educação Baseada em Evidências

Referências


AGÜERO, J. M. Evaluación de impacto de la Escolar Completa. US: Universidad de Connecticut Setiembre, 2016.

ALFARO, P.; HOLLAND, P. A.; EVANS, D. Extending the school day in Latin America and

the Caribbean: Policy Research Working Paper. [s.l: s.n.], 2015.

ALLINGTON, R. L. et al. Addressing summer reading setback among economically disadvantaged elementary students. Reading Psychology, London, vol. 31(5), pp. 411-427, 2010.

ANDERSEN, S. C.; HUMLUM, M. K.; NANDRUP, A. B. Increasing instruction time in school

does increase learning. Proceedings of the National Academy of Sciences of the United States of

America, EUA, v. 113, n. 27, p. 7481–7484, 2016.

AQUINO, J. M. DE; KASSOUF, A. LÚCIA. A ampliação da jornada escolar melhora o

desempenho acadêmico dos estudantes? Uma avaliação do programa Escola de Tempo Integral

da rede pública do Estado de São Paulo. Working Paper. [s.l: s.n.], 2011.

ARMAGAN, F. O.; KESKIN, M. O; AKIN, S.B. Effectiveness of conceptual change texts: a Meta analysis. Procedia-Social and Behavioral Sciences, n.9, pp.1574-1579, 2010.

ATTEBERRY, A., MCEACHIN, A. School's Out: The Role of Summers in Understanding Achievement Disparities. Retrieved from Annenberg Institute at Brown University: EdWorkingPaper, pp. 20-82, 2020.

AVVISATI, F. et al. Getting Parents Involved: A Field Experiment in Deprived Schools. Review of Economic Studies, USA: Oxford University Press, vol. 81(1), pp. 57-83, 2014.

BANERJEE, A. V., COLE, S., DUFLO, E., LINDEN, L. Remedying education: Evidence from two randomized experiments in India. The Quarterly Journal of Economics, 122(3), 1235-1264, 2007.

BARRERA-OSORIO, F.; LINDEN, L. L. The use and misuse of computers in education: Evidence from a randomized controlled trial of a language arts program. Cambridge, MA: Abdul Latif Jameel Poverty Action Lab (JPAL), 2009.

BARRIOS FERNANDEZ, A.; BOVINI, G. Itts Time to Learn: Understanding the Differences in

Returns to Instruction Time. SSRN Electronic Journal, p. 62, 2019.

BATTISTIN, E.; MERONI, E. C. Should we increase instruction time in low achieving schools?

Evidence from Southern Italy. Economics of Education Review, v. 55, p. 39–56, 2016.

BELLEI, C. Does lengthening the school day increase students’ academic achievement? Results

from a natural experiment in Chile. Economics of Education Review, USA: ScienceDirect, vol. 28, n. 5, pp. 629–640, 2009.

BELOT, M., WEBBINK, D. Do Teacher Strikes Harm Educational Attainment of Students? LABOUR, n. 24(4), pp. 391–406, 2010.

BENSON, J.; BORMAN, G. Family, Neighborhood, and School Settings Across Seasons: When Do Socioeconomic Context and Racial Composition Matter for the Reading Achievement Growth of Young Children? Teachers College Record, n. 112, pp. 1338-1390, 2010.

BERNARD, R. M. et al. How Does Distance Education Compare with Classroom Instruction? A Meta-Analysis of the Empirical Literature. Review of Educational Research, n. 74(3), pp. 379–439, 2004.

BEUERMANN, D. W. et al. One laptop per child at home: Short-term impacts from a randomized experiment in Peru. American Economic Journal: Applied Economics, vol.7(2), pp. 53-80, 2015.

BINGLEY, P. et al. The timing of instruction time: Accumulated hours, timing and pupil

achievement: Discussion Paper Series. Bonn, [s.n.], 2018.

BRUNS, B. et al., "Inside the Classroom in Latin America and the Caribbean". In: BRUNS, B., LUQUE, J. (Org.) Great Teachers: How to Raise Student Learning in Latin America and the Caribbean, Washington, DC: The World Bank, pp. 97–137. DOI: 10.1596/978-1-4648-0151-8_ch2, 2014.

CABRERA-HERNÁNDEZ, F. Does Lengthening the School Day Increase School Value

Added? Evidence from a Mid-Income Country. Journal of Development Studies, v. 56, n. 2,

pp.314–335, 2020.

CATTANEO, M. A.; OGGENFUSS, C.; WOLTER, S. C. The more, the better? The impact of

instructional time on student performance. Education Economics, v. 25, n.5, pp. 433–445, 2017.

CAVANAUGH, C. S. et al. The effects of distance education on K-12 student outcomes: A meta-analysis. Naperville, IL: Learning Point Associates, 2004.

CEPEDA, N. J et al. Optimizing Distributed Practice. Experimental Psychology, 56(4), 236–246. DOI:10.1027/1618-3169.56.4.236, 2009.

COLEMAN, J. S. Equality of Education Opportunity Study, Washington, DC: US Department of Health, Education, and Welfare, Office of Education. National Center for Education Statistics, 1966.

COOPER, H. et al. Does homework improve academic achievement? A synthesis of research, 1987–2003. Review of educational research 76, n. 1, pp. 1-62, 2006.

CORTES, K. E.; GOODMAN, J. S. Ability-tracking, instructional time, and better pedagogy:

The effect of double-dose Algebra on student achievement. American Economic Review, v. 104,

n. 5, p. 400–405, 2014.

CRUZ, T.; LOUREIRO, A.; SA, E. Full-time teachers, students, and curriculum: The single shift

model in Rio de Janeiro: Policy Research working paper. [s.l: s.n.].

DETTMERS, S. et al. Homework works if homework quality is high: Using multilevel modeling to predict the development of achievement in mathematics. Journal of Educational Psychology, 102, n. 2, p. 467, 2010.

FAIRLIE, R.; ROBINSON, J. Experimental Evidence on the Effects of Home Computers on Academic Achievement among Schoolchildren. American Economic Journal: Applied Economics, 5(3): 211-240, 2013.

FAN, H. et al. Homework and students’ achievement in math and science: A 30-year meta-analysis, 1986–2015. Educational Research Review, 20, pp. 35–54. DOI: 10.1016/j.edurev.2016.11.003, 2017.

FRYER, R. G. Injecting charter school best practices into traditional public schools: Evidence from field experiments. Quarterly Journal of Economics 129, n. 3:1355–407, 2014.

FRYER Jr, R. G.; HOWARD-NOVECK, M. "High-dosage tutoring and reading achievement: Evidence from New York City." Journal of Labor Economics 38, n. 2, pp. 421-452, 2020.

FRYER Jr, R. G. et al. Parental incentives and early childhood achievement: a field experiment in Chicago heights. National Bureau of Economic Research, n. w21477, 2015.

GANDRA, J. M. DE F. V.; RODRIGUES, C. T. O impacto da educação em tempo integral no

desempenho escolar: uma avaliação do programa Mais Educação Encontro Nacional de Estudos Populacionais. Anais. Poços de Caldas: ABEP, 2018.

HART, B.; RISLEY, T. R. Meaningful differences in the everyday experience of young American children. Paul H Brookes Publishing, 1995.

HATTIE, JOHN. Para uma lista de tópicos já estudados. Disponível em http://www.visiblelearningmetax.com/Influences. Acesso em 20/04/2020.

HERNANDEZ, K. E. R., MCCOACH, D. B. High-Achieving and Average Students’ Reading Growth: Contrasting School and Summer Trajectories. The Journal of Educational Research, n. 108(2), pp. 112–129, 2014.

HECKMAN, J. J.; MASTEROV, D. V. The productivity argument for investing in young children. Applied Economic Perspectives and Policy, 29(3), 446-493, 2007.

HINCAPIÉ, D. Do longer school days improve student achievement? Evidence from Colombia: IDB Working Paper Series. [s.l: s.n.].

HOFMANN, S.; MÜHLENWEG, A. Learning intensity effects in students’ mental and physical health – Evidence from a large-scale natural experiment in Germany. Economics of Education Review, v. 67, p. 216–234, 2018.

HUEBENER, M.; KUGER, S.; MARCUS, J. Increased instruction hours and the widening gap in student performance. Labour Economics, v. 47, November 2016, pp. 15–34, 2017.

HUEBENER, M.; MARCUS, J. Compressing instruction time into fewer years of schooling and the impact on student performance. Economics of Education Review, USA: ScienceDirect, v. 58, pp. 1–14, 2017.

IDADOS. Quanto custa o Plano Nacional de Educação (2014-2024)?. Rio de Janeiro: IDados, 2017.

JANISZEWSKI, C. et al. A Meta-analysis of the Spacing Effect in Verbal Learning: Implications for Research on Advertising Repetition and Consumer Memory. Journal of Consumer Research, n. 30(1), pp. 138–149, DOI:10.1086/374692, 2003.

KANE, T. J., TAYLOR, E. S., TYLER, J. H., et al. Identifying effective classroom practices using student achievement data, Journal of Human Resources, v. 46, n. 3, pp. 587–613, DOI: 10.3368/jhr.46.3.587, 2011.

KIM, James S. et al. Scaffolding voluntary summer reading for children in grades 3 to 5: An experimental study. Scientific Studies of Reading, v.12, n.1, pp. 1–23, 2008.

KUHFELD, M. Surprising new evidence on summer learning loss. Phi Delta Kappan, 101(1), pp. 25–29, 2019.

KUHFELD, M.; SOLAND, J. The learning curve: Revisiting the assumption of linear growth across the school year. Retrieved from Annenberg Institute at Brown University, EdWorkingPaper, pp.20-214, 2020.

LAVY, V. Do Differences in Schools’ Instruction Time Explain International Achievement Gaps? Evidence from Developed and Developing Countries. Economic Journal, v. 125, n. 588, pp. F397–F424, 2015.

LEE, M., Larson, R. The Korean ‘Examination Hell’: Long Hours of Studying, Distress, and Depression. Journal of Youth and Adolescence, n. 29, pp. 249–271, 2000.

LONG, D. A. Cross-National Educational Inequalities and Opportunities to Learn: Conflicting Views of Instructional Time. Educational Policy, v. 28, n. 3, pp. 351–392, 2014.

LOPEZ-AGUDO, L. A.; MARCENARO-GUTIERREZ, O. D. Instruction time and students academic achievement: a cross-country comparison. Compare: A Journal of Comparative and International Education, v. 00, n. 00, pp. 1–17, 2020.

LOUZANO, Paula et al. Quem quer ser professor? Atratividade, seleção e formação do docente no Brasil. Estudos em avaliação educacional, 21, n. 47, pp. 543-568, 2010.

MANDEL, P.; SÜSSMUTH, B.; SUNDER, M. Cumulative instructional time and student achievement. Education Economics, v. 27, n. 1, pp. 20–34, 2019.

MARCUS, J. et al. Increased instruction time and stress-related health problems among school children. Journal of Health Economics, v. 70, 2020.

MCMULLEN, S. C.; ROUSE, K. E. The impact of year-round schooling on academic achievement: Evidence from mandatory school calendar conversions. American Economic Journal: Economic Policy, v. 4, n. 4, pp. 230–252, 2012.

MEANS, B. et al. Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. U.S. Department of Education: Office of Planning, Evaluation, and Policy Development. Washington, D. C., 2009.

MERONI, E. C.; ABBIATI, G. How do students react to longer instruction time? Evidence from Italy†. Education Economics, v. 24, n. 6, pp. 592–611, 2016.

MEYERS, K.; THOMASSON, M. A. Paralyzed by Panic: Measuring the Effect of School Closures during the 1916 Polio Pandemic on Educational Attainment. NBER Working Paper, n. 23890, 2017.

MORGAN, H. Online Instruction and Virtual Schools for Middle and High School Students: Twenty-First-Century Fads or Progressive Teaching Methods for Today’s Pupils? The Clearing House: A Journal of Educational Strategies, Issues and Ideas, n. 88(2), pp. 72–76, 2015.

MURNANE, R. J.; SHARKEY, N. S.; BOUDETT, K. P. Using Student-Assessment Results to Improve Instruction: Lessons from a Workshop. Journal of Education for Students Placed at Risk (JESPAR), 10(3), pp. 269–280, 2005.

NATIONAL FORUM ON EDUCATION STATISTICS (ED). Every School Day Counts: The Forum Guide to Collecting and Using Attendance Data. NFES 2009-804. ERIC Clearinghouse, 2009.

NATIONAL READING PANEL (US), NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT (US). Teaching Children to Read: An Evidence-Based Assessment of the Scientific Research Literature on Reading and its Implications for Reading Instruction. National Institute of Child Health and Human Development, National Institutes of Health, 2000.

NÚÑEZ, J. C. et al. Relationships between perceived parental involvement in homework, student homework behaviors, and academic achievement: differences among elementary, junior high, and high school students. Metacognition and learning, v.10, n. 3, pp. 375-406, 2015.

O’DWYER, L. M. et al. A Study of the Effectiveness of the Louisiana Algebra I Online Course. Journal of Research on Technology in Education, n. 39(3), pp. 289–306, 2007.

PATTON, K. L. S.; RESCHLY, A. L. Using curriculum‐based measurement to examine summer learning loss. Psychology in the Schools, n. 50(7), pp. 738-753, 2013.

PARENTE, C.; PRADO, R. “More education” program: analysis of academic. Revista Humanidades, v. 3, n. 2, pp. 563–583, 2016.

PADILLA-ROMO, M. The Short and Long Run Effects of Full-Time Schools on Academic Performance. Texas: A&M University, 2017.

PATALL, E. A.; COOPER, H.; ALLEN, A. B. Extending the school day or school year: A systematic review of research (1985-2009). Review of Educational Research, v. 80, n. 3, p. 401–436, 2010.

POWELL-SMITH, K. A. et al. Parent tutoring in reading using literature and curriculum materials: Impact on student reading achievement. School Psychology Review, n. 29(1), pp. 5–27, 2000.

QUEEN, B., LEWIS, L. Distance education courses for public elementary and secondary school students: 2009–10. Washington, DC: U.S. Department of Education, National Center for Education Statistics, 2011.

QUINN, D. M. Black-White Summer Learning Gaps: Interpreting the Variability of Estimates across Representations. Educational Evaluation and Policy Analysis, n.37 (1), pp. 50-69, 2015.

QUINN, D. M., Le, Q. T. Are We Trending to More or Less Between-Group Achievement Inequality Over the School Year and Summer? Comparing Across ECLS-K Cohorts. AERA Open, 2018.

ROSA, L., BETTINGER, E., CARNOY, M., DANTAS, P. The effects of public high school subsidies on student test scores. 2020 (mimeo). Disponível em https://drive.google.com/file/d/1X_gOy1Zq40VHR--MLusey1YIIshF7fwU/view.

ROSCHELLE, J. et al. Online mathematics homework increases student achievement. AERA Open 2, n. 4, DOI: 2332858416673968, 2016.

SACERDOTE, Bruce. When the Saints Go Marching Out: Long-Term Outcomes for Student Evacuees from Hurricanes Katrina and Rita. American Economic Journal: Applied Economics, v.4 (1), pp.109-35, 2012.

SENECHAL, M. et al. Parental involvement in the development of children’s reading skill: A five-year longitudinal study. Child Dev, n.73(2), pp. 445-460, 2002.

SCHUELER, B. et al. Can states take over and turn around school districts? Evidence from Lawrence, Massachusetts. Educational Evaluation and Policy Analysis v. 39, n. 2, pp. 31–32, 2017.

SOSA, O., MANZUOLI, C. Models for the pedagogical integration of information and communication technologies: a literature review. Ensaio: Avaliação e Políticas Públicas em Educação, v. 27, n. 102, pp.129-156, 2019.

STOCKARD, J., WOOD, T. W., COUGHLIN, C., RASPLICA KHOURY, C. The effectiveness of direct instruction curricula: A meta-analysis of a half century of research. Review of Educational Research, 88(4), 479-507, 2018.

SUN, K.; LIN, Y., & YU, C. A study on learning effect among different learning styles in a Web-based lab of science for elementary school students. Computers & Education, n. 50(4), pp. 1411–1422, 2008.

TENA, R. et al. Technology use habits of children under six years of age at home. Ensaio: Avaliação e Políticas Públicas em Educação, v. 27, n.103, pp. 340-362, 2019.

TITSWORTH, T., MAZER, J. P., GOODBOY, A. K., BOLKAN, S., MYERS, S. A. Two Meta-analyses Exploring the Relationship between Teacher Clarity and Student Learning, Communication Education, 64:4, 385-418, 10.1080/03634523.2015.1041998, 2015.

UNESCO. Disponível em https://en.unesco.org/covid19/educationresponse. Acesso em 02/05/2020.

VALE, C. et al. Growth in literacy and numeracy achievement: Evidence and explanations of a summer slowdown in low socio-economic schools. The Australian Educational Researcher. 40. 10.1007/s13384-012-0065-9, 2012.

VAN VOORHIS, F. L. Adding families to the homework equation: A longitudinal study of mathematics achievement. Education and Urban Society, v. 43, n. 3, pp. 313-338, 2011.

VON HIPPEL, P. T.; HAMROCK, C. Do Test Score Gaps Grow Before, During, or Between the School Years? Measurement Artifacts and What We Can Know in Spite of Them. Sociological Science, v.6, pp.43-80, 2019.

VON HIPPEL, P. T.; WORKMAN, J.; DOWNEY, D. B. Inequality in reading and math skills forms mainly before kindergarten: A replication, and partial correction, of “Are schools the great equalizer?”. Sociology of Education, n. 91(4), pp. 323-357, 2018.

WILMORE, C.; SLATE, J. Texas Elementary School Academic Achievement as a Function of School Calendar Type. Journal of Educational Policy, Planning, and Administration, v. 2, n. 1, pp. 24–38, 2012.

WU, D. Disentangling the Effects of the School Year from the School Day: Evidence from the TIMSS Assessments. Education Finance and Policy, v. 15, n. 1, pp. 104–135, 2020.

YEŞIL DAĞLI, Ü. Effect of increased instructional time on student achievement. Educational Review, v. 71, n. 4, pp. 501–517, 4 jul. 2018.

ZUCKERMAN, B. Books and reading: Evidence-based standard of care whose time has come. Acad Pediatr, n.11(1), pp.11-17, DOI:10.1016/j.acap.2010.09.007, 2011.




DOI: http://dx.doi.org/10.1590/s0104-40362020002802885

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