Chronometric Constructive Cognitive Learning Evaluation Model: Measuring the Construction of the Human Cognition Schema of Psychology Students

Guadalupe Elizabeth Morales-Martinez, Janneth Trejo-Quintana, David Jose Charles-Cavazos, Yanko Norberto Mezquita-Hoyos, Miriam Sanchez-Monroy

Abstract


This study measured the structural and organizational changes in the knowledge schema of human cognition in response to the learning achieved by 48 students enrolled in the second year of a psychology degree. Two studies were carried out based on the Chronometric Constructive Cognitive Learning Evaluation Model. This article deals only with the first one, which consisted of a conceptual definition task designed in line with the Natural Semantic Network technique. Participants defined ten target concepts with verbs, nouns, or adjectives (definers), and then weighed the grade of the semantic relationship between the definers and the target concepts. The data indicate that the initial knowledge structures had been modified towards the end of the course. The participants’ human cognition schema presented changes in terms of content, organization, and structure. This evidence supports the idea that the acquisition and transformation of the schemata learned in academic environments may be observed through cognitive science indicators.

https://doi.org/10.26803/ijlter.20.2.1


Keywords


cognitive evaluation; knowledge schema; learning; NSN; psychology students

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References


Arieli-Attali, M. (2013, October 20−25). Formative assessment with cognition in mind: The cognitively based assessment of, for and as learning [Paper presentation]. 39th Annual Conference: Educational Assessment 2.0: Technology in Educational Assessment. Tel Aviv, Israel. https://www.iaea.info/conference-proceedings/

Banister, P. (2004). Assessment as a tool for fostering key skills. Psychology Learning & Teaching, 3(2), 109–113. https://doi.org/10.2304/plat.2003.3.2.109

Bastian, M., Heymann, S., & Jacomy, M. (2009, May 17−20). Gephi: An open source software for exploring and manipulating networks [Paper presentation]. Association for the Advancement of Artificial Intelligence, Third International AAAI Conference on Weblogs and Social Media. San Jose California, United States. https://gephi.org/publications/gephi-bastian-feb09.pdf

Bower, G. H. (1975). Cognitive psychology: An introduction. In W. K. Estes (Ed.), Handbook of learning and cognitive processes: Vol. 1. Introduction to concepts and issues (pp. 25–80). Lawrence Erlbaum Associates.

El-Yassin., H. D. (2015). Integrated assessment in medical education. Journal of Contemporary Medical Sciences, 1(4), 36–38. http://www.jocms.org/index.php/jcms/article/view/51

Embretson, S. E. (1999). Cognitive psychology applied to testing. In F. T. Durso (Ed.), Handbook of applied cognition (pp. 629−660). John Wiley & Sons.

Figueroa-Nazuno, J. G. (2007, October 24−25). El significado de las Redes Semánticas Naturales: Y la tradición oral, 20 años después [The meaning of natural semantic networks: And oral tradition, 20 years later] [Paper presentation]. Primer Simposium Internacional: Cognición y Representación del Conocimiento. Monterrey, Nuevo Leon, Mexico.

Figueroa, J. G., Gonzalez, E. G., & Solis, V. M. (1976). An approach to the problem of meaning: Semantic networks. Journal of Psycholinguistic Research, 5(2), 107−115. https://doi.org/10.1007/BF01067252

Kyllonen, P. C., & Christal, R. E. (1988). Cognitive modeling of learning abilities: A status report of LAMP (Learning Abilities Measurement Program). In R. Dillon & J. W. Pellegrino (Eds.), Testing: Theoretical and applied issues. Freeman.

Lopez, R. E. O. (1989, December 1−6). Sistema predictor de indice reprobatorio (SPIR) [Failure rate predictor system (SPIR)] [Paper presentation]. IX Coloquio de Investigación. ENEP Iztacala, Mexico city, Mexico.

Lopez, E. O. (1996). Schematically related word recognition (Publication No. 9613356) (Doctoral dissertation). University of Wisconsin-Madison, Madison, Wisconsin. ProQuest Dissertations & Theses Global.

Lopez, E. O, & Theios, J. (1992). Semantic analyzer of schemata organization (SASO). Behavior Research Methods, Instruments, & Computers, 24(2), 277−285. https://link.springer.com/content/pdf/10.3758/BF03203508.pdf

Lopez, E. O., Morales, G. E., Hedlefs, I., & Gonzalez, C. J. (2014). New empirical directions to evaluate online learning. International Journal of Advances in Psychology, 3(2), 40−47. https://doi.org/10.14355&ijap.2014.0302.03

Marzano, R. J., & Pickering, D. J. (1997). Dimensions of learning: Teacher’s manual (2nd ed.). ASCD.

Messick, S. (1984). The psychology of educational measurement. Journal of Educational Measurement, 21(3), 215–237. https://doi.org/10.1111/j.1745-3984.1984.tb01030.x

Mislevy, R. J., Steinberg, L. S., & Almond, R. G. (2003). On the structure of educational assessments. Measurement: Interdisciplinary research and perspectives, 1(1), 3−62.

Morales-Martinez, G. E. (2015). Protocolo para la recolección de conceptos objetivo y definidores centrales y diferidos (PRECODECD): Un sistema de codificación de conceptos extraídos de las redes semánticas naturales [Protocol for the collection of objective concepts and central and deferred definers (PRECODECD): A coding system for concepts extracted from natural semantic networks] (Unpublished manuscript). Institute of Research on the University and Education, National Autonomous University of Mexico, Mexico.

Morales-Martínez G. E. (2020). Sistema de evaluación cognitiva constructiva cronométrica del aprendizaje en línea y presencial [Online and face-to-face learning’s constructive-chronometric cognitive assessment system] (Manuscript submitted for publication). Institute of Research on the University and Education, National Autonomous University of Mexico, Mexico.

Morales-Martinez, G., & Lopez-Ramirez, E. (2016). Cognitive responsive e assessment of constructive e-learning. Journal of e-Learning and Knowledge Society (Je-LKS), 12(4), 39−49. http://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1187

Morales-Martinez, G. E., Lopez-Ramirez, E. O., Castro-Campos, C., Villarreal-Treviño, M. G., & Gonzales-Trujillo, C. J. (2017). Cognitive analysis of meaning and acquired mental representations as an alternative measurement method technique to innovate e-assessment. European Journal of Educational Research, 6(4), 455−464. https://www.eu-jer.com/EU-JER_6_4_455_Morales-Martinez_etal.pdf

Morales-Martínez, G. E., Lopez-Perez, R. M., Garcia-Collantes, A., & López-Ramírez, E. O. (2020). Evaluación constructiva cronométrica para evaluar el aprendizaje en línea y presencial [Chronometric constructive assessment to assess online and face-to-face learning]. Tecnología, Ciencia y Educación, 15(1), 105−124. https://www.tecnologia-ciencia educacion.com/index.php/TCE/article/view/371

Morales-Martinez, G. E., Lopez-Ramirez, E. O., & Lopez-Gonzalez, A. E. (2015). New approaches to e-cognitive assessment of e-learning. International Journal for e-Learning Security (IjeLS), 5(2), 449−453. https://doi.org/10.20533/ijels.2046.4568.2015.0057

Morales-Martinez, G. E., Ãngeles-Castellanos, A. M., Ibarra-Ramírez, V. H., & Mancera-Rangel, M. I. (2020). Cognitive e-tools for diagnosing the state of medical knowledge in students enrolled for a second time in an anatomy course. International Journal of Learning, Teaching and Educational Research, 19(9), 341−362. https://doi.org/10.26803/ijlter.19.9.18

Morales-Martinez, G. E., Mezquita-Hoyos, Y. N., Gonzalez-Trujillo, C. J., Lopez-Ramirez, E. O., & Garcia-Duran, P. J. (2018). Formative e-assessment of schema acquisition in the human lexicon as a tool in adaptive online instruction. In R. Lopez-Ruiz (Ed.), From natural to artificial intelligence: Algorithms and application (pp. 69−88). IntechOpen. http://doi.org/10.5772/intechopen.81623

Muskin, J. A. (2015). Student learning assessment and the curriculum: Issues and implications for policy, design and implementation (Current and critical issues in the curriculum and learning). UNESCO International Bureau of Education. http://www.ibe.unesco.org/sites/default/files/resources/ipr1-muskin-assessmentcurriculum_eng.pdf

Rumelhart, D., Smolensky, P., McClelland, J., & Hinton, G. (1986). Schemata and sequential thought processes in PDP models. In J. McClelland, D. Rumelhart, & the PDP Research Group (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition: Vol. 2. Psychological and biological models (pp. 7−57). MIT Press.

Sadeghi, K., & Rahmati. T. (2017). Integrating assessment as, for, and of learning in a large-scale exam preparation course. Assessing Writing, 34, 50−61. https://doi.org/10.1016/j.asw.2017.09.003

Urdiales-Ibarra, M. E., Lopez-Ramirez, E. O., Castro-Campos, C., Villarreal-Treviño, M. G., & Carrillo-Colon, J. E. (2018). Biology schemata knowledge organization and meaning formation due to learning: A constructive-chronometric approach to concept mapping usability. Creative Education, 9(16), 2693−2706. https://doi.org/10.4236/ce.2018.916203

Wiliam, D. (2011). What is assessment for learning? Studies in Educational Evaluation, 37(1), 3–14. https://doi.org/doi:10.1016/j.stueduc.2011.03.001


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