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This article examines the theoretical foundations and pedagogical possibilities of using a retrospective approach to develop students’ professional competence. Retrospection is understood as a p…

This article examines the theoretical foundations and pedagogical possibilities of using a retrospective approach to develop students’ professional competence. Retrospection is understood as a purposeful return to prior experience, knowledge, cultural resources, and professional practice in order to interpret them in the light of present tasks and future action. Drawing on the ideas of Dewey, Schön, Kolb, Gibbs, and competence-oriented education, the article argues that retrospective learning can connect theory with practice, strengthen reflective judgment, support professional identity, and make cultural knowledge educationally meaningful. In the context of music education, the evolutionary history of Karakalpak music offers material for listening, analysis, performance, comparison, and pedagogical design. A practical sequence is proposed: encounter a professional or cultural experience, document it, analyze it, connect it with concepts, redesign an action, and evaluate learning. The article is theoretical and does not report experimental results; its proposed mechanisms can inform the design of subsequent empirical research.

This study assessed the influence of the home learning environment on the school readiness of kindergarten learners. Specifically, it described the profile, determined the level of the home learning e…

This study assessed the influence of the home learning environment on the school readiness of kindergarten learners. Specifically, it described the profile, determined the level of the home learning environment, assessed the level of school readiness, and examined the significant relationship between the two variables. The study employed a descriptive correlational research design. From a population of 219 kindergarten learners, 142 parents or guardians were selected through simple random sampling, with the sample size determined using Slovin’s formula at a 0.05 margin of error. Four kindergarten teachers assessed the school readiness of the learners. Data were gathered using an adapted structured questionnaire for parents or guardians and a school readiness checklist completed by teachers. Frequency, percentage, mean, standard deviation, and Spearman rho correlation were used to analyze the data. Findings revealed that the home learning environment was rated Often, indicating that learning support was provided at home. Indoor learning activities obtained the highest rating, while digital learning activities received the lowest. School readiness was rated Always, showing that learners were prepared in social competence, learning dispositions, classroom rules, and cognitive and communication skills. Cognitive and communication skills obtained the highest rating. A significant positive moderate relationship was found between the home learning environment and school readiness, while digital learning activities were not significantly related to school readiness. Based on the findings, an action plan was proposed to strengthen home learning support, guided digital use, warmth and support, outdoor learning experiences, and home-school collaboration.    

Full Changelog: https://github.com/i-VRESSE/python-mock-hooks/compare/v0.1.0...v0.2.0

This study assessed anthropometric parameters among patients with type 2 diabetes mellitus within Owerri, Imo State. In carrying out this study comparative cross-sectional study was adopted. The study…

This study assessed anthropometric parameters among patients with type 2 diabetes mellitus within Owerri, Imo State. In carrying out this study comparative cross-sectional study was adopted. The study population consisted of one hundred (100) diagnosed type 2 diabetic patients and one hundred (100) apparently healthy, age- and sex-matched non-diabetic individuals who served as controls. All participants were aged between 30 and 70 years. Ten (10) mL of venous blood samples were collected from each participant after overnight fast using standard aseptic procedures and distributed into appropriate tubes for the determination of fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), insulin, lipid profile, and oxidative stress markers. Serum and plasma were prepared by centrifugation at 3000 rpm for 10 minutes, while whole blood was used for selected analyses. The samples were analyzed using standard laboratory methods. Data obtained were analyzed using Statistical Package for Social Sciences (SPSS) version 25.0. the results of the findings revealed that All anthropometric parameters, including BMI, WC, WHR, WHtR, BRI, and VAI, were significantly higher in type 2 diabetic patients compared with controls (p = 0.000 for all). Significant correlations were also observed among the diabetic patients, including a negative correlation between fasting plasma glucose (FPG) and BMI (r = −0.216, p = 0.031) and a positive correlation between malondialdehyde (MDA) and BMI (r = 0.337, p = 0.001). These findings indicate that type 2 diabetic patients had greater general and central adiposity than apparently healthy individuals. The study concluded that traditional and novel anthropometric indices provide useful information for assessing adiposity and metabolic health in type 2 diabetic patients. Their combined assessment may therefore be useful in the clinical monitoring and management of type 2 diabetes mellitus. One of the recommendations made was that routine anthropometric assessment should be incorporated into the management of type 2 diabetes mellitus. BMI, waist circumference, WHR, and WHtR should be regularly measured to identify general and central obesity and monitor changes in patients' metabolic risk.

Supporting data for the publication "Exploration of ligand (un)binding trajectories with Rosetta".  The dataset contains the demo run of the Rosetta Ligand PathFinder tool, and starting packages …

Supporting data for the publication "Exploration of ligand (un)binding trajectories with Rosetta".  The dataset contains the demo run of the Rosetta Ligand PathFinder tool, and starting packages for all the runs performed in the work.

Background: Supporting lasting learning is a central goal in education, particularly in schools where long-term retention is crucial for students' academic success. Generative learning helps construct…

Background: Supporting lasting learning is a central goal in education, particularly in schools where long-term retention is crucial for students' academic success. Generative learning helps construct meaningful mental representations, while retrieval practice supports consolidation and long-term retention. Combining both strategies may foster learning; however, research remains scarce. Aims: We investigated how combining generative activities and retrieval practice affects students' conceptual knowledge and monitoring accuracy in authentic school settings for immediate and lasting learning. Additionally, we explored associations between generation, retrieval, and explanation quality (i.e., completeness, elaboration, correctness). Sample: The classroom experiment was conducted in authentic physics lessons with N = 344 secondary students. Methods: Students participated in a physics teaching unit about converging lenses and were randomly assigned within each class to one of four combinations of sequential learning activities crossing two factors (non-generation vs. generation; non-retrieval vs. retrieval). Conceptual knowledge and monitoring accuracy were measured immediately and after eight weeks. Results: Conceptual knowledge and monitoring accuracy did not significantly differ between generation, retrieval, or their sequential combination at either test. However, exploratory analyses revealed that retrieval practice supported lasting learning when prior generative processing was of low quality – that is, when students' explanations were incomplete, less elaborated, or inaccurate. Conclusions: Combining generation and retrieval does not universally enhance learning. Its effectiveness appears to depend on the quality of prior generative processing. In this sense, retrieval practice may serve a happy role – compensating for fragile knowledge – or a redundant one, offering no added benefit when prior understanding is already strong.

This is the firdt code release to Zenodo

A CSV-centric data manipulation CLI tool written in Rust.