The suspension of the on-site educational process due to the temporary lockdown of Educational Institutions provoked scenarios with their due reactions and repercussions of emergency against the Global Crisis as a result of the COVID-19 virus spread. Since Perú is in the midst of this current crisis, the Education sector asked some questions based on ICACIT accreditation model -such as: Which global macrotrends can be applied in the context of a Post COVID-19 pedagogical practices, in order to achieve Student Outcomes (SOs) from ICACIT, the accreditation model? Three categories were identified based on the previous development: I) Global macrotrends related to the Education Sector; II) The Post COVID-19 pedagogical practice, as a role assumed by the professor involved in the different education spaces in accordance with the different didactive approaches (academicist, technological, cultural interpretative, sociocritical and socio-formative); and III) Student Outcomes (SOs) from ICACIT, the accreditation model. Global macrotrends were selected to be applied in The Post COVID-19 pedagogical practice that contribute in the accomplishment of 12 ICACIT SOs and were consequently classified into three areas: i) Crosscutting Macrotrend (public awareness), ii) the Macrotrend of Post COVID-19 pedagogical practices (Disrupting Education: the assessment of progress, harnessing innovation, multiple senses, co-creation, instant entrepreneurship, the User Experience business-focused model approach for education, and gamification), and iii) the Macrotrend of Support (Networking & Technology).
Agricultural commodities present remarkable volatility in their production levels, which severely affects farmers. The variational dynamics in the prices of the inputs used and the constant variations in weather conditions have a significant influence on the cereal production chain in Peru; therefore, compared to the ARIMA model, the Additive Holt-Winters forecasting model presented a better fit according to the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC), forecasting the production of Oryza sativa, Zea mays L. var. Indurata and Amaranthus caudatus; however, due to the high seasonality, volatility of production, and the greater amount of outliers due to production in certain periods and geographical areas, the Holt-Winters Multiplicative model predicted the national production of Zea mays L. ssp amiláceo and Chenopodium quinoa, in Peru in the period 2000-2021.
Today, sustainable economic development is essential for a country, so it is necessary to act in the planning and efficient use of our resources and to achieve clean and renewable energy. The determinants of renewable and non-renewable energy demand are mainly based on economic growth, financial development and trade. Likewise, the impact of economic growth on energy demand considers that higher energy consumption leads to economic growth. In Peru, promoting energy planning and efficiency actions, as well as the generation and use of renewable energies for economic and energy development to be sustainable in the country. Therefore, this research analyzes the effect of tariffs, GDP and population on the demand for renewable and non-renewable energy in the period 2013 to 2020.
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