literacy perspectives
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Author(s):  
Kimberley J Hernandez ◽  
Doris Gillis ◽  
Kathleen Kevany ◽  
Sara Kirk

Food literacy is an evolving term fundamental to both health and education.  The concept of food literacy typically has been informed by nutrition-focused thinking, with particular emphasis on food skills.  Moving beyond this traditional focus is necessary to address the demands of consumers navigating today’s complex food environments. Although the term is increasingly recognized, there is no consensus regarding the definition of food literacy or its conceptual dimensions. This paper describes a Food Literacy Conceptual Model that integrates multiple food literacy perspectives and theoretical frameworks.  This Food Literacy Conceptual Model provides an enhanced framework with potential application as a pedagogical tool. As an interdisciplinary approach to food literacy, the conceptual model has the potential to increase teaching and learning effectiveness in the school context through a tailored approach to understanding the core components of this construct. In addition, a learner’s food literacy may increase with the application of this practical and more comprehensive framing in the conceptual model.  


2021 ◽  
Vol 7 (SpecialIssue) ◽  
pp. 218-224
Author(s):  
Indra Budiman ◽  
Ida Kaniawati ◽  
Anna Permanasari ◽  
Iwa Lukmana

Survey of questionnaire-based research was conducted to assess the perspective of junior high school (JHS) science teachers on scientific literacy in science learning. Four perspectives for teachers in JHS on scientific literacy were obtained from the research results of the experiments, namely the reading of scientific texts, scientific knowledge, the use of science in everyday life and the use of science-based learning tools. The majority of participants chose the response choice to train all students to apply science learning results in decision-making on daily life challenges. Thus, JHS Science Teachers in Purwakata Regency have a variety of scientific literacy perspectives, but there is no perspective that is considered outside the context of scientific literacy


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 464-464
Author(s):  
Maggie Britton

Abstract Hispanic or Latino/a/x/e (H/L) individuals are at 1.5x risk for Alzheimer’s Disease and Related Dementias (ADRD) compared to non-H/L White individuals. Although H/L individuals make up roughly 18% of the U.S. population, they are vastly underrepresented in ADRD research. For example, less than 9% of individuals in the National Alzheimer's Coordinating Center (NACC) data set are H/L. Collaborative efforts like the ECHAR Network are working to increase the representation of H/L individuals in ADRD research across the U.S. A non-exhaustive list of barriers to H/L participation include limited health literacy, perspectives on aging, and preferences for family-centered care that aligns with H/L cultural values (e.g., familismo). For example, H/L individuals are less likely to have a medical conceptualization of the Spanish translation for dementia. The cognate “demencia” is more likely to be conflated with alternative meanings like insanity, which may create barriers when developing community-facing recruitment and study materials.


2021 ◽  
Vol 161 ◽  
pp. S1681
Author(s):  
A. Stewart-Lord ◽  
S. Sykes ◽  
A. Admani ◽  
C. Angell-Wells ◽  
R. Williams ◽  
...  

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Amanda Click ◽  
◽  
Claire Walker Wiley ◽  
Meggan Houlihan ◽  
◽  
...  

Author(s):  
Vandana Ravindra Shelar ◽  
Pravin R. Dusane

The investigators have brought out the history of big data, its meaning, its different types such as web data, text data, location and time data, social network data, etc. The characteristics of big data such as volume, velocity, variety, and complexity are discussed. Application of big data in various fields in everyday life is discussed in different fields such detection of fraud, application in agriculture field, banking implication, healthcare implication. Entertainment and media industry is also using it effectively. Big data is also used in weather forecasting, transportation industry, education industry, and sports sector. Future of big data is bright. More data on everything is available today. One needs to analyse everything today in order to implement policies. Software is available to process such voluminous data. The chapter also discusses the influence of big data on Indian governance, digitalization in India, finance and banking sector. In conclusion, one can say there is bright future of big data in various private and public sectors. Today's problem is information overload. One has to be very dexterous in disseminating using information with the help of web tools and software one can use. The investigators also discuss the perspectives and applications in academic. Voluminous data available in the academic environment requires proper accumulation, assembly, access, curation, retrieval, and dissemination. Dexterous skills are required for handling this situation. Information literacy deals with accessing, evaluating, and ethically using information.


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