Improvement of self-regulated learning in mathematics through a hypermedia applicationDifferences based on academic performance and previous knowledge

  1. Marisol Cueli 1
  2. Celestino Rodríguez 1
  3. Débora Areces 1
  4. Trinidad García 1
  5. Paloma González-Castro 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Revista:
The Spanish Journal of Psychology

ISSN: 1138-7416

Año de publicación: 2017

Volumen: 20

Tipo: Artículo

DOI: 10.1017/SJP.2017.63 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: The Spanish Journal of Psychology

Resumen

Self-regulation on behalf of the student is crucial in learning Mathematics through hypermedia applications and is an even greater challenge in these IT environments. Two aims are formulated. First, to analyze the effectiveness of a hypermedia tool in improving perceived knowledge of self-regulatory strategies and the perceived usage of the planning, executing and assessment strategy on behalf of students with low, medium and high levels of academic performance. Second, to analyze the effectiveness of the hypermedia tool in improving perceived usage of the strategy for planning, monitoring and evaluating on behalf of students with a perceived knowledge (low, medium and high). Participants were 624 students (aged 10–13), classified into a treatment group (TG; 391) and a comparative group (CG; 233). They completed a questionnaire on perceived knowledge (Perceived Knowledge of Self-Regulatory Strategies) and another one on perceived usage of the strategy for planning, performing and evaluating (Inventory of Self-regulatory Learning Processes). Univariate covariance analyses (ANCOVAs) and Student-t tests were used. ANCOVA results were not statistically significant. However, the linear contrast indicated a significant improvement in perceived knowledge of strategies among the TG with low, medium and high academic performance (p ≤ .001). Results are discussed in the light of past and future research.

Referencias bibliográficas

  • Annevirta T., & Vauras M. (2006). Developmental changes of metacognitive skill in elementary school children. The Journal of Experimental Education, 74(3), 197–225. https://doi.org/10.3200/JEXE.74.3.195–226
  • Azevedo R. (2005). Using hypermedia as a metacognitive tool for enhancing student learning? The role of selfregulated learning. Educational Psychologist, 40(4), 199–209. https://doi.org/10.1207/s15326985ep4004_2
  • Azevedo R., & Jacobson M. J. (2008). Advances in scaffolding learning with hypertext and hypermedia: a summary and critical analysis. Education Technology Research and Development, 56(1), 93–100. https://doi. org/10.1007/s11423-007-9064-3
  • Bransford J. D., Brown A. L., & Cocking R. R. (2000). How people learn: Brain, mind, experience, and school. Washington, WA: National Academies Press.
  • Casal J., & Mateu E. (2003). Tipos de muestreo [Types of sampling]. Revista de Epidemiología y Medicina preventiva, 1, 3–7.
  • Cheng K. H., Liang J. C., & Tsai C. C. (2013). University students’ online academic help seeking: The role of self-regulation and information commitments. The Internet and Higher Education, 16, 70–77. https://doi.org/10.1016/ j.iheduc.2012.02.002
  • Cordero-Ferrera J. M., Cebada E., & Pedraja-Chaparro F. (2013). Rendimiento educativo y determinantes según PISA: Una revisión de la literatura en España [Academic performance and its determinants according to PISA: A review of Spanish literature]. Revista de Educación, 362, 273–297. https://doi.org/10.4438/1988-592X-RE2011-362-161
  • Cueli M., González-Castro P., Krawec J., Núñez J. C, & González-Pienda J. A. (2016). Hipatia: A hypermedia learning environment in mathematic. Anales de Psicología. 32(1), 98–105. https://doi.org/10.6018/analesps.32.1.185641
  • Dignath C., Buettner G., & Langfeldt H. (2008). How can primary school students learn self-regulated learning strategies most effectively? A meta-analysis on selfregulation training programmes. Educational Research Review, 3(2), 101–129. https://doi.org/10.1016/ j.edurev.2008.02.003
  • DuToit E. (2012). Constructive feedback as a learning tool to enhance students’ self-regulation and performance in higher education. Perspectives in Education, 30(2), 32–40.
  • Finney S. J., & DiStefano C. (2006). Non-normal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Muller (Eds.), Structural equation modeling: A second course (pp. 269–314). Greenwich, CT: Information Age
  • Flavell J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906–911.
  • García T., Rodríguez C., González-Castro P., Álvarez-García D., & González-Pienda J. A. (2016). Metacognición y funcionamiento ejecutivo en Educación Primaria [Metacognition and executive function in Primary Education]. Anales de Psicología, 32(2), 474–483. https://doi.org/10.6018/analesps.32.2.202891
  • Graesser A. C., McNamara D. S., & VanLehn K. (2005). Scaffolding deep comprehension strategies through Point & Query, AutoTutor and iSTART. Educational Psychologist, 40(4), 225–234. https://doi.org/10.1207/s15326985ep4004_4
  • González-Pienda J. A., Fernández-Cueli M., García T., Suárez N., Fernández E., Tuero-Herrero E., & Da Silva E. H. (2012). Diferencias de género en actitudes hacia las matemáticas en la enseñanza obligatoria [Sex differences in attidudes towards mathematics throughout compulsory education]. Revista Iberoamericana de Psicología y Salud, 3(1), 55–73.
  • González-Pienda J. A., Fernández E., Bernardo A., & Núñez J. C. (2014). Assessment of a self-regulated learning intervention. Spanish Journal of Psychology, 17, e12. https://doi.org/10.1017/sjp.2014.12
  • Harskamp E. G., & Suhre C. J. M. (2006). Improving mathematical problem solving: A computerized approach. Computers in Human Behavior, 22(5), 801–815. https://doi. org/10.1016/j.chb.2004.03.023
  • Harskamp E., & Suhre C. (2007). Schoenfeld’s problem solving theory in a student controlled learning environment. Computers & Education, 49(3), 822–839. https://doi.org/10.1016/j.compedu.2005.11.024
  • Ifenthaler D. (2012). Determining the effectiveness of prompts for self-regulated learning in problem-solving scenarios. Educational Technology & Society, 15(1), 38–52.
  • International Association for the Evaluation of Educational Achievement (IEA). (2011). Resultados de las pruebas PIRLS y TIMSS de 2011 en España [Results of PIRLS and TIMSS testing in 2011 in Spain]. Madrid; Spain: Ministerio de Educación, Cultura y Deporte.
  • Kikas E., Peets K., Palu A., & Afanasjev J. (2009). The role of individual and contextual factors in the development of math skills. Educational Psychology, 29(5), 541–560. https://doi.org/10.1080/01443410903118499
  • Kroesbergen E. H., & Van Luit J. E. H. (2003). Mathematics interventions for children with special educational needs. Remedial and Special Education, 24(2), 97–114. https://doi.org/ 10.1177/07419325030240020501
  • Lucangeli D., & Cabrele S. (2006). The relationship of metacognitive knowledge, skills and beliefs in children with and without mathematical learning disabilities. In A. Desoete & M. V. Veenman (Eds.), Metacognition in mathematics education (pp. 103–133). New York, NY: Nova Science Publishers, Inc.
  • Lehmann T., Hähnlein I., & Ifenthaler D. (2014). Cognitive, metacognitive and motivational pespectives on preflection in self-regulated online learning. Computers in Human Behavior, 32, 313–323. https://doi.org/10.1016/ j.chb.2013.07.051
  • Lezak M. D., Howieson D. B., Bigler E. D., & Tranel D. (2102). Neuropsychological assessment 5th Ed. Oxford, UK: Oxford University Press Chapters.
  • Mayer R. E. (2004). Psicología de la educación [Psychology of education]. Madrid, Spain: Pearson Educación.
  • Núñez J. C., Cerezo R., Bernardo A., Rosario P., Valle A., Fernández E., & Suárez N. (2011). Implementation of training programs in self-regulated learning strategies in Moodle format: Results of an experience in higher education. Psicothema, 23(2), 274–281.
  • Olkun S., Altun A., & Deryakulu D. (2009). Development and evaluation of a case-based digital learning tool about children`s mathematical thinking for elementary school teachers. European Journal of Teacher Education, 32(2), 151–165.
  • Organization for Economic Co-operation and Development, OECD. (2014). PISA 2012. Programa para la evaluación internacional de los alumnos. Informe español resultados y contexto [Programme for international student assessment. Spanish report and context]. Madrid, Spain: Ministerio de Educación, Cultura y Deporte.
  • Organization for Economic Co-operation and Development, OECD. (2016). PISA 2015 resultados clave [PISA 2015 Key results]. Retrieved from OCDE website www.oecd.org/pisa
  • Önemli M., & Yöndem Z. D. (2012). The effect of psychoeducational group training depending on self regulation on students’ motivational strategies and academic achievement. Educational Sciences: Theory & Practice, 12(1), 67–73.
  • Özyurt O., Özyurt H., Baki A., Güven B., & Karal H. (2012). Evaluation of an adaptive and intelligent educational hypermedia for enhanced individual learning of mathematics: A qualitative study. Expert Systems with Applications, 39(15), 12092–12104. https://doi.org/ 10.1016/j.eswa.2012.04.018
  • Pacheco D. I., García J. N., & Díez C. (2009). Autorregulación de la práctica docente y desempeño del alumnado en composición escrita [Self-regulation of the teaching practise and student performance in written composition]. Aula Abierta, 37(1), 141–152.
  • Panaoura A. (2012). Improving problem solving ability in mathematics by using a mathematical model: A computerized approach. Computers in Human Behavior, 28(6), 2291–2297. https://doi.org/10.1016/j.chb. 2012.06.036
  • Pennequin V., Sorel O., Nanty I., & Fontaine R. (2010). Metacognition and low achievement in mathematics: The effect of training in the use of metacognitive skills to solve mathematical word problems. Thinking & Reasoning, 16(3), 198–220. https://doi.org/10.1080/ 13546783.2010.509052
  • Rosário P., González-Pienda J. A., Pinto R., Ferreira P., Lourenço A., & Paiva O. (2010). Eficacia del programa <<(Des)venturas de Testas>> para la promoción de um enforque profundo de estudio [Efficacy of the program “Testas’s (mis)adventures” to promote the deep approach to learning]. Psicothema, 22(4), 828–834
  • Rosário P., Mourao R., Núñez J. C., González-Pienda J., Solano P., & Valle A. (2007). Eficacia de un programa instruccional para la mejora de procesos y estrategias de aprendizaje en la enseñanza superior [Effectiveness of an instructional on the improvement of learning processes and strategies in Higher education]. Psicothema, 19(3), 422–427.
  • Samruayruen B., Enriquez J., Natakuatoong O., Samruayruen K. (2013). Self-Regulated Learning: A Key of a Successful Learner in Online Learning Environments in Thailand. Journal of Educational Computing Research, 48(1), 45–69. https://doi.org/10.2190/EC.48.1.c
  • Steffens K. (2001). Self-regulation and computer based learning. Anuario de Psicología, 32(2), 77–94
  • Swanson H. L. (1999). Instructional components that predict treatment outcomes for student with learning disabilities: Support for a combined strategy and direct instruction model. Learning Disabilities Research and Practice, 14(3), 129–140. https://doi.org/10.1207/sldrp1403_1
  • Tsai C. W. (2010). The effects of feedback in the implementation of web-mediated self-regulated learning. CyberPsychology & Behavior, 13(2), 153–158. https://doi. org/10.1089/cyber.2009.0267
  • Valle A., Rodríguez S., Cabanach R., Núñez J. C., González-Pienda J., & Rosário P. (2009). Diferencias en rendimiento académico según los niveles de las estrategias cognitivas y de las estrategias de autorregulación [Differences in academic performance based on the levels of cognitive strategies and self-regulation strategies]. Summa Psicológica UST, 6(2), 31–42.
  • Veenman M. V. J., Wilhelm P., & Beishuizen J. J. (2004). The relation between intellectual and metacognitive skills from a developmental perspective. Learning and Instruction, 14(1), 89–109. https://doi.org/10.1016/j.learninstruc. 2003.10.004
  • You J. W., & Kang M. (2014). The role of academic emotions in the relationship between perceived academic control and self-regulated learning in online learning. Computers & Education, 77, 125–133. https://doi.org/10.1016/j. compedu.2014.04.018
  • Zimmerman B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70. https://doi. org/10.1207/s15430421tip4102_2
  • Zimmerman B. J. (2008). Investigating self-regulation and motivation: Historical, background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166–183. https://doi.org/10.3102/ 0002831207312909