LA INVESTIGACIÓN; UNA NECESIDAD DE APRENDIZAJE EN EL BACHILLERATO
Bibliographic record
Abstract
The objective of this research was to describe the theoretical foundations towards an approach to the application of research in learning in the Baccalaureate area. The theoretical bases studied were the exposure and contrast of the different criteria of several authors. The initial methodology was documentaryresearch and then applied as an approach to action research in the school context. The result was the exposition of the problem of scientific research in Ecuador, starting from the problem of teacher training and the lack of interest by students to carry out research and projects aimed at society, as a conclusion, problems in cognitive development are obtained of critical thinking and the inability to analyze information. Keywords: Teacher training, Documentary research, high school study. References [1]E. Ayala, «La investigacion cientifica en las universidades ecuatorianas,» Anales, vol. 3, no 57, pp. 61-72, 2015. [2]A. y. B. A. Martinez, «Aprendizaje basado en la investigacion,» de Tecnologico de Monterrey, Mexico, 2013. [3]O. Hurtado, «Sistema de educacion superior del Ecuador,» Quito, 2015. [4]M. B. P. y. D. J. Roach, «Developing Research Capabilities through Technology Enhanced Learning,» Interactions, vol. 4, no 1, pp. 15-25, 2010. [5]A. Torres, «Aprendizaje Basado en la Investigacion. Tecnicas Didacticas,» de Tecnologico de Monterrey, Mexico, 2012. [6]Boyer Commission Report, «The Boyer Commission on Educating Undergraduates in the Research University, Reinventing Undergraduate Education: A Blueprint for America’s Research Universities.,» Canada, 2013. [7]A. B. L. S. L. y. S. E. Hunter, «Becoming a scientist: The role of undergraduate research in students' cognitive, personal, and professional development.,» Science Education, vol. 97, no 71, pp. 36-74, 2007. [8]F. Bijarro, «Desarrollo estrategico para la investigacion cientifica,» 08 15 2016. [Online]. Available: www.eumed.net/libros-gratis/2007c/306/306.zip. [Last access: sep 2019] [9]J. and. B. P. Dempster, «Developing Research-Based Learning Using ICT in Higher Education Curricula: The Role of Research and Evaluation,» Academic andEducational Development: Research, Evaluation and Changing Practice in Higher Education., vol. 11, no 1, pp. 129-139, 2002. [10]M. B. P. and. D. J. Roach, «Supporting high level learning through research-based methods: A framework for course development.,» Innovations in Education and Training International, vol. 38, no 4, pp. 369-382, 2013.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".