Latino youth are the fastest growing group of ethnic minority adolescents in the United States, but their educational needs remain underserved. Although research exploring academic engagement has expanded in recent years, the majority of research examining academic engagement among Latino youth has been cross-sectional. Using data from the National Longitudinal Study of Adolescent to Adult Health, the present investigation used a within-person and between-person analysis to examine the long-term influence of social support from teachers, family, and peers on academic engagement among a nationally representative sample of Latino adolescents. Findings indicated that between-person teacher support and family support were associated with higher academic engagement for all youth. In contrast, within-person teacher support was associated with higher academic engagement, but only for Mexican American youth. Implications for future research and practice are discussed.

In the era of the Fourth Industrial Revolution, companies are focusing on securing artificial intelligence (AI) technology to enhance their competitiveness via machine learning, which is the core technology of AI, and to allow computers to acquire a high level of quality data through self-learning. Securing good-quality big data is becoming a very important asset for companies to enhance their competitiveness. The volume of digital information is expected to grow rapidly around the world, reaching 90 zettabytes (ZB) by 2020. It is very meaningful to present the value quality index on each data attribute as it may be desirable to evaluate the data quality for a user with regard to whether the data is suitable for use from the user’s point of view. As a result, this allows the user to determine whether they would take the data or not based on the data quality index. In this study, we propose a quality index calculation model with structured and unstructured data, as well as a calculation method for the attribute value quality index (AVQI) and the structured data value quality index (SDVQI).