Objective: To explore the needs, motivations, and limitations related to healthy eating and digital materials, as well as to identify patterns for their design as a strategy aimed at Mexican families.
Design: A qualitative observational study of the phenomenon through focus group sessions.
Location: A public primary education center in the city of Querétaro, Mexico.
Participants: Children aged 9 to 11 years and parents, mothers, or caregivers with children in primary education.
Method: Twelve sessions were conducted with three groups of students and two sessions with parents, mothers, or caregivers using an interview guide. Various digital materials, developed based on social cognitive theory, were presented during the sessions. The sessions were recorded with the participants' or their guardians' prior consent and transcribed for analysis. Coding was performed for key points of analysis, and information saturation was confirmed.
Results: Students expressed motivation towards digital material that promotes play and experimentation, especially within the family context. The main perceived barrier was the caregivers' resistance to change. Parents expressed motivation and a need for explanatory material on diseases, with economic and time-related barriers.
Conclusions: Digital material based on social cognitive theory, designed to improve nutrition, can be an effective strategy in nutritional education if it considers the circumstances of the target population. It is advisable to include affective and behavioral elements to achieve meaningful learning within households.
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http://dx.doi.org/10.1016/j.aprim.2024.102933 | DOI Listing |
Biochem Mol Biol Educ
December 2024
Dirección Académica, Universidad Nacional de Colombia Sede de La Paz, La Paz, Colombia.
The COVID-19 pandemic affected a large range of in-person education activities in Colombia. This created great limitations in academic performance for students with reduced access to communication technologies and deepened the educational gaps in the country. This was particularly true for sciences such as biochemistry.
View Article and Find Full Text PDFFront Robot AI
December 2024
Robot Learning Laboratory, Instituto de Ciências Matemáticas e de Computação (ICMC), University of São Paulo (USP), SãoCarlos, Brazil.
Research on social assistive robots in education faces many challenges that extend beyond technical issues. On one hand, hardware and software limitations, such as algorithm accuracy in real-world applications, render this approach difficult for daily use. On the other hand, there are human factors that need addressing as well, such as student motivations and expectations toward the robot, teachers' time management and lack of knowledge to deal with such technologies, and effective communication between experimenters and stakeholders.
View Article and Find Full Text PDFMedEdPORTAL
December 2024
Associate Professor, Department of Medical Education, and Assistant Dean, Clinical Skills Education, Wright State University Boonshoft School of Medicine.
Introduction: Physicians face barriers to counseling patients regarding lifestyle, specifically, low perceived importance of and confidence in counseling, leading to underuse. There is a dearth in the literature evaluating educational interventions for counseling skills among preclinical medical students. Closing this gap is crucial to taking advantage of critical opportunities early in training.
View Article and Find Full Text PDFObjective: To understand the perinatal experiences of women with gestational diabetes mellitus (GDM) who intended to breastfeed.
Design: Qualitative descriptive study.
Setting/local Problem: Women with GDM and their infants benefit from breastfeeding but have lower exclusive breastfeeding rates than women without GDM, and the reasons for these differences are not entirely clear.
Bioinform Adv
December 2024
Department of Protein Evolution, Max Planck Institute for Biology, Tübingen 72076, Germany.
Motivation: Coiled coils are a widespread structural motif consisting of multiple α-helices that wind around a central axis to bury their hydrophobic core. While AlphaFold has emerged as an effective coiled-coil modeling tool, capable of accurately predicting changes in periodicity and core geometry along coiled-coil stalks, it is not without limitations, such as the generation of spuriously bent models and the inability to effectively model globally non-canonical-coiled coils. To overcome these limitations, we investigated whether dividing full-length sequences into fragments would result in better models.
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