Estudio de las concepciones docentes sobre enseñanza y evaluación de los profesores de educación básica en Risaralda, Colombia
Tesis Materias > Educación Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales Cerrado Español El problema que enfrenta esta investigación se relaciona con la preocupación de las entidades oficiales en Colombia sobre los resultados de las evaluaciones nacionales y también internacionales del rendimiento escolar en varias áreas del conocimiento. Esta preocupación se traslada a las instituciones educativas que, a su vez, hacen recaer en los maestros la responsabilidad de mejorar los resultados de las pruebas en los alumnos. Sin embargo, las didácticas empleadas por los maestros se debaten entre las formas más tradicionales de clases magisteriales y las didácticas que nacen con las pedagogías activas y que emplean métodos muy disímiles de educación. En ese sentido, se abre la pregunta por la forma como utilizan los docentes en ejercicio los métodos de enseñanza y evaluación en su práctica educativa. El desarrollo metodológico que se empleó para conseguir el objetivo fueron las narrativas, que se interpretaron de una manera holística, es decir, en bloques completos de significado. Además, se aplicó un instrumento para corroborar si lo encontrado en las entrevistas podría tener correspondencia con los datos cuantitativos. Para nuestro caso, los resultados cuantitativos confirman los resultados cualitativos, encontrando dos tendencias principales sobre la forma como los docentes conciben el aprendizaje, la enseñanza y la evaluación. La primera es la más tradicional que concibe la enseñanza como una transmisión de conocimientos al alumno y, por tanto, la evaluación sirve para saber cuánto aprendió el alumno de lo que el profesor enseñó en clase. La segunda centra la construcción del aprendizaje en el alumno y evalúa especialmente la forma como este se enfrenta con el conocimiento, pero tiene en cuenta todos los aspectos como sus tipos de inteligencia, su contexto socioeconómico, su afectividad, entre otros, y deja los resultados para que sean evaluados por las pruebas externas. Entre las dos perspectivas sobre el uso de metodologías, la escuela del siglo 21 requiere procedimientos que garanticen un aprendizaje significativo y funcional en contexto, sin embargo, en los docentes de Risaralda, persisten metodologías con características muy tradicionales. metadata Osorio Mejia, Luisa Fernanda mail luisaosorio7@gmail.com (2022) Estudio de las concepciones docentes sobre enseñanza y evaluación de los profesores de educación básica en Risaralda, Colombia. Doctoral thesis, SIN ESPECIFICAR.
Texto completo no disponible.Resumen
El problema que enfrenta esta investigación se relaciona con la preocupación de las entidades oficiales en Colombia sobre los resultados de las evaluaciones nacionales y también internacionales del rendimiento escolar en varias áreas del conocimiento. Esta preocupación se traslada a las instituciones educativas que, a su vez, hacen recaer en los maestros la responsabilidad de mejorar los resultados de las pruebas en los alumnos. Sin embargo, las didácticas empleadas por los maestros se debaten entre las formas más tradicionales de clases magisteriales y las didácticas que nacen con las pedagogías activas y que emplean métodos muy disímiles de educación. En ese sentido, se abre la pregunta por la forma como utilizan los docentes en ejercicio los métodos de enseñanza y evaluación en su práctica educativa. El desarrollo metodológico que se empleó para conseguir el objetivo fueron las narrativas, que se interpretaron de una manera holística, es decir, en bloques completos de significado. Además, se aplicó un instrumento para corroborar si lo encontrado en las entrevistas podría tener correspondencia con los datos cuantitativos. Para nuestro caso, los resultados cuantitativos confirman los resultados cualitativos, encontrando dos tendencias principales sobre la forma como los docentes conciben el aprendizaje, la enseñanza y la evaluación. La primera es la más tradicional que concibe la enseñanza como una transmisión de conocimientos al alumno y, por tanto, la evaluación sirve para saber cuánto aprendió el alumno de lo que el profesor enseñó en clase. La segunda centra la construcción del aprendizaje en el alumno y evalúa especialmente la forma como este se enfrenta con el conocimiento, pero tiene en cuenta todos los aspectos como sus tipos de inteligencia, su contexto socioeconómico, su afectividad, entre otros, y deja los resultados para que sean evaluados por las pruebas externas. Entre las dos perspectivas sobre el uso de metodologías, la escuela del siglo 21 requiere procedimientos que garanticen un aprendizaje significativo y funcional en contexto, sin embargo, en los docentes de Risaralda, persisten metodologías con características muy tradicionales.
| Tipo de Documento: | Tesis (Doctoral) |
|---|---|
| Palabras Clave: | Enseñanza, evaluación, competencias, aprendizaje |
| Clasificación temática: | Materias > Educación |
| Divisiones: | Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales |
| Depositado: | 26 Sep 2023 23:30 |
| Ultima Modificación: | 26 Sep 2023 23:30 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/4347 |
Acciones (logins necesarios)
 |
Ver Objeto |
en
close
Single-cell omics for nutrition research: an emerging opportunity for human-centric investigations
Understanding how dietary compounds affect human health is challenged by their molecular complexity and cell-type–specific effects. Conventional multi-cell type (bulk) analyses obscure cellular heterogeneity, while animal and standard in vitro models often fail to replicate human physiology. Single-cell omics technologies—such as single-cell RNA sequencing, as well as single-cell–resolved proteomic and metabolomic approaches—enable high-resolution investigation of nutrient–cell interactions and reveal mechanisms at a single-cell resolution. When combined with advanced human-derived in vitro systems like organoids and organ-on-chip platforms, they support mechanistic studies in physiologically relevant contexts. This review outlines emerging applications of single-cell omics in nutrition research, emphasizing their potential to uncover cell-specific dietary responses, identify nutrient-sensitive pathways, and capture interindividual variability. It also discusses key challenges—including technical limitations, model selection, and institutional biases—and identifies strategic directions to facilitate broader adoption in the field. Collectively, single-cell omics offer a transformative framework to advance human-centric nutrition research.
Manuela Cassotta mail manucassotta@gmail.com, Yasmany Armas Diaz mail , Danila Cianciosi mail , Bei Yang mail , Zexiu Qi mail , Ge Chen mail , Santos Gracia Villar mail santos.gracia@uneatlantico.es, Luis Alonso Dzul López mail luis.dzul@uneatlantico.es, Giuseppe Grosso mail , José L. Quiles mail , Jianbo Xiao mail , Maurizio Battino mail maurizio.battino@uneatlantico.es, Francesca Giampieri mail francesca.giampieri@uneatlantico.es,
Cassotta
<a href="/17878/1/s13018-025-06422-7.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
Background Anterior shoulder instability is a common condition, especially among young and active individuals, often associated with both osseous and soft tissue injuries. Recent innovations have introduced various surgical options for managing critical and subcritical instability. Therefore, the primary objective of this systematic review was to collect, synthesize, and integrate international research published across multiple scientific databases on shoulder ligamentoplasty, arthroscopic Latarjet, dynamic anterior stabilization (DAS), and arthroscopic Trillat techniques used in the treatment of shoulder instability. Method A structured search was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the PICOS model, up to January 30, 2025, in the MEDLINE/PubMed, Web of Science (WOS), ScienceDirect, Cochrane Library, SciELO, EMBASE, SPORTDiscus, and Scopus databases. The risk of bias was evaluated, and the PEDro scale was used to assess methodological quality. Results The initial search yielded a total of 964 articles. After applying the inclusion and exclusion criteria, the final sample consisted of 25 articles. These studies demonstrated a high standard of methodological quality. The review summarized the effects of ligamentoplasty, arthroscopic Latarjet, dynamic anterior stabilization, and arthroscopic Trillat techniques in treating shoulder instability, detailing the sample population, immobilization period, frequency of instability episodes—including recurrent dislocations and subluxations—surgical methods, study designs, assessed variables, main findings, and reported outcomes. Conclusions Arthroscopic ligamentoplasty is advantageous in preserving the patient’s native anatomy, maintaining joint integrity, and allowing for alternative interventions in case of failure. The arthroscopic Trillat technique offers a minimally invasive solution for anterior instability without significant bone loss. The DAS technique utilizes the biceps tendon to provide dynamic stabilization, aiming to generate a sling effect over the subscapularis muscle. The Latarjet procedure remains the gold standard for managing anterior glenoid bone loss greater than 20%. Each surgical option for anterior shoulder instability carries specific implications, and treatment decisions should be tailored based on bone loss severity, capsuloligamentous quality, and the patient’s functional needs.
Carlos Galindo-Rubín mail , Yehinson Barajas Ramón mail , Fernando Maniega Legarda mail , Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es,
Galindo-Rubín
<a class="ep_document_link" href="/17880/1/nutrients-17-03613.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
Background/Objectives: Estimating energy and macronutrients from food images is clinically relevant yet challenging, and rigorous evaluation requires transparent accuracy metrics with uncertainty and clear acknowledgement of reference data limitations across heterogeneous sources. This study assessed ChatGPT-5, a general-purpose vision-language model, across four scenarios differing in the amount and type of contextual information provided, using a composite dataset to quantify accuracy for calories and macronutrients. Methods: A total of 195 dishes were evaluated, sourced from Allrecipes.com, the SNAPMe dataset, and Home-prepared, weighed meals. Each dish was evaluated under Case 1 (image only), Case 2 (image plus standardized non-visual descriptors), Case 3 (image plus ingredient lists with amounts), and Case 4 (replicates Case 3 but excluding the image). The primary endpoint was kcal Mean Absolute Error (MAE); secondary endpoints included Median Absolute Error (MedAE) and Root Mean Square Error (RMSE) for kcal and macronutrients (protein, carbohydrates, and lipids), all reported with 95% Confidence Intervals (CIs) via dish-level bootstrap resampling and accompanied by absolute differences (Δ) between scenarios. Inference settings were standardized to support reproducibility and variance estimation. Source stratified analyses and quartile summaries were conducted to examine heterogeneity by curation level and nutrient ranges, with additional robustness checks for error complexity relationships. Results and Discussion: Accuracy improved from Case 1 to Case 2 and further in Case 3 for energy and all macronutrients when summarized by MAE, MedAE, and RMSE with 95% CIs, with absolute reductions (Δ) indicating material gains as contextual information increased. In contrast to Case 3, estimation accuracy declined in Case 4, underscoring the contribution of visual cues. Gains were largest in the Home-prepared dietitian-weighed subset and smaller yet consistent for Allrecipes.com and SNAPMe, reflecting differences in reference curation and measurement fidelity across sources. Scenario-level trends were concordant across sources, and stratified and quartile analyses showed coherent patterns of decreasing absolute errors with the provision of structured non-visual information and detailed ingredient data. Conclusions: ChatGPT-5 can deliver practically useful calorie and macronutrient estimates from food images, particularly when augmented with standardized nonvisual descriptors and detailed ingredients, as evidenced by reductions in MAE, MedAE, and RMSE with 95% CIs across scenarios. The decline in accuracy observed when the image was omitted, despite providing detailed ingredient information, indicates that visual cues contribute meaningfully to estimation performance and that improvements are not solely attributable to arithmetic from ingredient lists. Finally, to promote generalizability, it is recommended that future studies include repeated evaluations across diverse datasets, ensure public availability of prompts and outputs, and incorporate systematic comparisons with non-artificial-intelligence baselines.
Marcela Rodríguez- Jiménez mail , Gustavo Daniel Martín-del-Campo-Becerra mail , Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es, Jorge Crespo-Álvarez mail jorge.crespo@uneatlantico.es, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es,
Rodríguez- Jiménez
<a href="/17884/1/s12939-025-02596-y.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
Background Maternal and child undernutrition remains a major global health concern despite modest progress. Accelerating reductions in stunting and wasting will require increased investments in nutrition-sensitive interventions, which target nutrition impacts outside of the healthcare setting. This review examines the effects of four types of nutrition-sensitive interventions —cash/food transfers, nutrition-sensitive agriculture, water/sanitation/hygiene, and school nutrition— on maternal and child nutrition outcomes and dietary diversity. Methods We synthesized the evidence using an initial broad search and synthesis for nutrition-sensitive interventions, followed by targeted searches and syntheses for specific interventions and nutrition outcomes. Meta-analyses were performed to evaluate the impacts of cash transfers and agricultural interventions, while a narrative synthesis was produced for additional nutrition-sensitive interventions. Additionally, qualitative synthesis was incorporated to provide insights into the relationship between implementation context and program effectiveness. Results Our initial evidence synthesis included 260 quantitative studies, and additional targeted searches produced 72 eligible articles. Meta-analyses reveal positive impacts on dietary diversity for cash transfers without nutrition-specific components (0.14 SMD; 95% CI: 0.06–0.22), and some nutrition-sensitive agricultural interventions (0.24 SMD; 95% CI: 0.11–0.37). Cash transfers have larger effects on dietary diversity when they include behavior change communication or other nutrition-specific elements (0.41 SMD; 95% CI; 0.15–0.66), whereas agriculture programs with nutrition-specific elements do not show larger effects on dietary diversity than those without. Narrative syntheses indicate that homestead food production interventions may reduce anemia, school feeding interventions may improve anthropometric outcomes, and WASH interventions are most effective when combined with other nutrition initiatives. Conclusions We find consistent evidence that nutrition-sensitive programs contribute to dietary diversity and may have small but positive effects on nutrition outcomes, such as anthropometric outcomes and anemia. Integrating nutrition into social protection, agriculture, and education sectors is essential for addressing the underlying causes of malnutrition, such as dietary diversity.
Thomas de Hoop mail , Adria Molotsky mail , Rebecca Walcott mail , Pablo Gaitán-Rossi mail , Sonia Hernández-Cordero mail , Amos Laar mail , Torben Behmer mail , Hoa Thi Mai Nguyen mail , Averi Chakrabarti mail , Garima Siwach mail , Varsha Ranjit mail , Vania Lara-Mejía mail , Bianca Franco-Lares mail , Mireya Vilar mail ,
de Hoop
<a href="/17885/1/s41598-025-26052-7.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
Mango is one of the most beloved fruits and plays an indispensable role in the agricultural economies of many tropical countries like Pakistan, India, and other Southeast Asian countries. Similar to other fruits, mango cultivation is also threatened by various diseases, including Anthracnose and Red Rust. Although farmers try to mitigate such situations on time, early and accurate detection of mango diseases remains challenging due to multiple factors, such as limited understanding of disease diversity, similarity in symptoms, and frequent misclassification. To avoid such instances, this study proposes a multimodal deep learning framework that leverages both leaf and fruit images to improve classification performance and generalization. Individual CNN-based pre-trained models, including ResNet-50, MobileNetV2, EfficientNet-B0, and ConvNeXt, were trained separately on curated datasets of mango leaf and fruit diseases. A novel Modality Attention Fusion (MAF) mechanism was introduced to dynamically weight and combine predictions from both modalities based on their discriminative strength, as some diseases are more prominent on leaves than on fruits, and vice versa. To address overfitting and improve generalization, a class-aware augmentation pipeline was integrated, which performs augmentation according to the specific characteristics of each class. The proposed attention-based fusion strategy significantly outperformed individual models and static fusion approaches, achieving a test accuracy of 99.08%, an F1 score of 99.03%, and a perfect ROC-AUC of 99.96% using EfficientNet-B0 as the base. To evaluate the model’s real-world applicability, an interactive web application was developed using the Django framework and evaluated through out-of-distribution (OOD) testing on diverse mango samples collected from public sources. These findings underline the importance of combining visual cues from multiple organs of plants and adapting model attention to contextual features for real-world agricultural diagnostics.
Muhammad Mohsin mail , Muhammad Shadab Alam Hashmi mail , Irene Delgado Noya mail irene.delgado@uneatlantico.es, Helena Garay mail helena.garay@uneatlantico.es, Nagwan Abdel Samee mail , Imran Ashraf mail ,
Mohsin