scholarly journals Remote or Removed: Predicting Successful Engagement with Online Learning during COVID-19

2021 ◽  
Vol 7 ◽  
pp. 237802312098820
Author(s):  
Thurston Domina ◽  
Linda Renzulli ◽  
Brittany Murray ◽  
Alma Nidia Garza ◽  
Lysandra Perez

Using data from a spring 2020 survey of nearly 10,000 parents of elementary school parents in one large southeastern public school district, the authors investigate predictors of elementary school student engagement during the initial period of pandemic remote learning. The authors hypothesize that household material and technological resources, school programming and instructional strategies, and family social capital contribute to student engagement in remote learning. The analyses indicate that even after controlling for rich measures of family socioeconomic resources, students with access to high-speed Internet and Internet-enabled devices have higher levels of engagement. Exposure to more diverse socioemotional and academic learning opportunities further predicts higher levels of engagement. In addition, students whose families remained socially connected to other students’ families were more likely to engage online.

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 515-516
Author(s):  
Nekehia Quashie ◽  
Christine Mair ◽  
Radoslaw Antczak ◽  
Bruno Arpino

Abstract Childless older adults may be at risk for poorer health cross-nationally, yet most studies on this topic analyze only a small number of countries and only 1 or 2 health outcomes. To our knowledge, two papers exist that explore associations between childlessness and multiple indicators of health using data from a large number of regionally diverse countries (e.g., 20 countries from North America, Asia, and Europe), but neither study includes an examination of socioeconomic resources. The level of health risk faced by childless older adults is likely to be distinctly shaped by older adults’ socioeconomic resources (e.g., education, income, wealth). Associations between childlessness, socioeconomic resources, and health may also differ by country context. Using harmonized, cross-national data for adults aged 50 and older across 20 high- and middle-income countries (United States (HRS), European Union (SHARE), Mexico (MHAS), and China (CHARLS) from the Gateway to Global Aging data repository), we explore if and how individual-level socioeconomic resources (income, education, wealth) moderate associations between childlessness and five health indicators (self-rated health, ADL limitations, IADL limitations, chronic conditions, and depression). Results suggest that associations between childlessness and health outcomes vary by individual socioeconomic resources in some country contexts, but not in others. We discuss these findings in light of the impact of individual-level socioeconomic resources on older adults’ support options and health outcomes cross-nationally.


2015 ◽  
Vol 26 (1) ◽  
pp. 77-82
Author(s):  
Wiyono Wiyono

The objectives of this study are (1) to describe the implementation of the regulatory supervision of the elementary school learning activities, and (2) to describe the implications of the implementation of the regulatory supervision of the elementary school learning activities. The place of research in SDN  Ngadirejan Pringkuku Pacitan. Collecting data using observations, interviews and documentation. Analysis using data collection, data reduction, data presentation and conclusion. The results showed that: (1) Implementation of the regulatory supervision of teaching in schools on SDN Ngadirejan are in three stages, the school superintendent supervision is based on collaboration with the principal; Problems faced by the school supervisor is supervising the status of rank, seniority and friendship.  (2) The implications of the effectiveness of the regulatory supervision of school on school teaching are the level of preparedness of the schools, the school is very positive perception that supervisors provide assistance, guidance, direction and experience of the teacher towards professionalism and very few negative perceptions, success are achieved after supervision is the existence of physical development for the better.


2020 ◽  
Vol 10 (8) ◽  
pp. 212
Author(s):  
Hal Lawson ◽  
Michael Lawson

Isolated teachers in stand-alone American schools are expected to engage diverse students in the quest to facilitate their academic learning and achievement. This strategy assumes that all students will come to school ready and able to learn, and educators in stand-alone schools can meet the needs of all students. Student disengagement gets short shrift in this framework, and so does teacher disengagement. A growing body of research emphasizes needs for nuanced engagement frameworks, better data systems, customized interventions facilitated by intervention registries, and bridge building between schools and community health, mental health, and social service agencies. Here, engagement and disengagement challenges are reframed as opportunities for collective action, including interprofessional teams, community agency–school partnerships, cross-sector collective impact formations, cradle-to-career system building, and community development initiatives. Together these collective action forms signal new institutional designs which are fit for purpose when child/family poverty, social exclusion, and social isolation conspire against student engagement and school success.


2019 ◽  
Vol 47 (2) ◽  
pp. 136-158 ◽  
Author(s):  
James R. Lancaster ◽  
Carol A. Lundberg

Objective: This study asked how faculty behaviors and course decisions best predict learning gains for students. Next, it investigated how the identified engaging practices vary based on faculty employment status, course experience, course level taught, and teaching area. Method: The sample was taken from students and faculty at one community college with a Hispanic-serving designation in California. Student participants took the 2012 Community College Survey of Student Engagement (CCSSE) and faculty took the 2012 Community College Faculty Survey of Student Engagement (CCFSSE). Ordinary least squares (OLS) regression was used to identify significant faculty-related CCSSE variables that predicted academic learning, career learning, or personal development gains. Results: The models explained one third or more of the variance in each learning domain. Among the 16 significant predictors, seven were identified as having the strongest effects and served as dependent variables to determine whether there were significant differences in use of these practices among faculty groups. Faculty teaching full-time, faculty with more course experience, and faculty in career technical education (CTE) programs applied faculty-related engagement practices more than their counterparts. In addition, faculty teaching only college-level courses perceived better quality relationships with their students than faculty who taught only developmental courses. Conclusion: Grounded in the study findings are recommendations for community colleges to invest in programs that increase faculty availability to students and schedule courses so faculty gain experience teaching the same courses over time and implement faculty development programs specific to teaching strategies.


2020 ◽  
Vol 102 (2) ◽  
pp. 58-59
Author(s):  
Sarah Rozny

Temporarily shutting down schools for the COVID-19 pandemic in the spring of 2020 was a challenge for all educators. However, for the teachers at one elementary school, this move to remote learning was particularly difficult emotionally as it was coupled with the permanent closing of the school. Unbeknownst to these educators, when they said goodbye to their students for a scheduled four-day weekend, they would never see their students in their school again. Former principal Sarah Rozny describes the unique, lingering sadness of being asked to say goodbye to her staff and students amid a pandemic and connects it to the situation teachers around the world faced.


2010 ◽  
Vol 20-23 ◽  
pp. 178-183
Author(s):  
Jun Hua Gu ◽  
Jie Song ◽  
Na Zhang ◽  
Yan Liu Liu

With the increasingly high-speed of the internet as well as the increase in the amount of data it contains, users are finding it more and more difficult to gain useful information from the web. How to extract accurate information from the Web efficiently has become an urgent problem. Web information extraction technology has emerged to solve this kind of problem. The method of Web information auto-extraction based on XML is designed through standardizing the HTML document using data translation algorism, forming an extracting rule base by learning the XPath expression of samples, and using extraction rule base to realize auto-extraction of pages of same kind. The results show that this approach should lead to a higher recall ratio and precision ratio, and the result should have a self-description, making it convenient for founding data extraction system of each domain.


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