Formación profesional en ambientes e-learning. Estudio de caso sobre Aprendizaje Basado en Proyectos (ABP) en un curso de posgrado virtual
Bibliographic record
Abstract
More governments have supported the development of their knowledge through strategies and policies to improve higher education, innovation and research. In Latin America, the incorporation of technological systems for the construction of innovative learning environments is still incipient. The objective of the research is to characterize the scope of the Project-Based Learning (PBL) methodology in the professional training of teachers in an e-learning learning environment. A learning environment was designed in the virtual platform Blackboard, based on the systematization of five phases based on the PBL methodology, the methodological design of the instrumental case study was used with a sample of 60 students from different parts of Latin America (92% Mexico, 3% Colombia and 5% Ecuador), the data collection instruments that were used were ad hoc questionnaires and digital evaluation rubrics. The qualitative analysis of content shows a high frequency in the thematic categories of: linking of theoretical-methodological concepts, collaboration and teamwork skills, digital resources, programs and on-line platforms. It is concluded that impact of PBL methodology in Postgraduate courses favors the motivation of teachers in innovating their educational practice, as well as the generation of a high commitment in the collaborative work focused on the resolution of problems in social-educational contexts in students of a Master's program in Education with private funding, and emphasis on educational innovation training.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Case study of project-based learning in an online postgraduate teacher-training course; educational pedagogy.
The work evaluates project-based learning in an e-learning course, not research itself.
Case study of project-based learning in an e-learning teacher-training course; educational pedagogy, not metaresearch.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".