Publication: TV-Based Learning in Bangladesh: Is it Reaching Students?
Loading...
Files in English
3,283 downloads
Date
2020-07-16
ISSN
Published
2020-07-16
Author(s)
Biswas, Kumar
Asaduzzaman, T.M.
Fehrler, Sebastian
Ramachandran, Deepika
Editor(s)
Abstract
Is TV-based learning during COVID-19 school closures in Bangladesh reaching students? Most students (86 percent) within our sample of more than 2,000 Grade 9 stipend recipients are aware of government provided TV-based learning programs; yet only half of the students with access to these programs choose to access them. Also, very few students (21 percent) have access to government provided online learning programs, and among those that do, only about 2 percent choose to access them. There is a perceptible decline in the time students spend studying at home after school closures. This may be linked to the fact that 1 in 2 parents claim they are unable to help their children with new topics. Despite lower education, mothers are significantly more likely to be involved in the child’s education compared to fathers. Most students (90 percent) claim they have a supportive environment at home for studying. This is true for both boys and girls. Finally, nearly 65 percent of households in our sample report declines in income and 28 percent had to decrease the amount of food consumed within the household in the previous week.
Link to Data Set
Citation
“Biswas, Kumar; Asaduzzaman, T.M.; Evans, David K.; Fehrler, Sebastian; Ramachandran, Deepika; Sabarwal, Shwetlena. 2020. TV-Based Learning in Bangladesh: Is it Reaching Students?. © World Bank. http://hdl.handle.net/10986/34138 License: CC BY 3.0 IGO.”
Associated URLs
Associated content
Other publications in this report series
Journal
Journal Volume
Journal Issue
Collections
Related items
Showing items related by metadata.
Publication The Permanent Input Hypothesis : The Case of Textbooks and (No) Student Learning in Sierra Leone(World Bank Group, Washington, DC, 2014-09)A textbook provision program in Sierra Leone demonstrates how volatility in the flow of government-provided learning inputs to schools can induce storage of these inputs by school administrators to smooth future consumption. This process in turn leads to low current utilization of inputs for student learning. A randomized trial of a public program providing textbooks to primary schools had modest positive impacts on teacher behavior but no impacts on student performance. In many treatment schools, student access to textbooks did not actually increase because a large majority of the books were stored rather than distributed to students. At the same time, the propensity to save books was positively correlated with uncertainty on the part of head teachers regarding government transfers of books. The evidence suggests that schools that have high uncertainty with respect to future transfers are more likely to store a high proportion of current transfers. These results show that reducing uncertainty in school input flows could result in higher current input use for student learning. For effective program design, public policy programs must take forward-looking behavior among intermediate actors into account.Publication Learning in the Time of COVID-19(World Bank, Washington, DC, 2021-03-29)This note discusses the impact of Coronavirus (COVID-19) and related school closures on primary students’ access to learning in Nepal. The primary source of data is a phone-survey with households that have children enrolled in public schools (grades 3-5) collected from November 2020 to February 2021. The authors describe student learning, parental perception of student levels, access to learning during school closures, and families’ emotional health during Coronavirus (COVID-19).Publication Tanzania Skills for Competitiveness in the Small and Medium Enterprise Sector(World Bank, Washington, DC, 2013-07)We examine the question of workforce skills for small and medium enterprises (SMEs) in Tanzania and find a mixed picture full of potential. On the one hand, education access has expanded at all levels and a more educated cohort is now entering the labor market - signaling the availability of a more skilled workforce for SMEs. On the other hand, acute shortages of secondary and postsecondary graduates persist. Disturbingly, the quality and relevance of primary education has come into question. It is unclear whether increased access to primary education is actually translating into acquisition of crucial basic skills in the country. In light of this, it is unsurprising that education attainment no longer appears to be a reliable proxy for relevant skills, as perceived by employers. Further, SMEs seem to have very little meaningful connection with education institutions for recruitment of workers. A related but equally concerning problem relates to the culture of recruitment among SMEs in Tanzania. It is one of passive hiring, wherein firms rely on networks and referrals to identify employees instead of actively seeking them through open advertising and links with education providers. In this backdrop there is room for cautious optimism. SMEs seem increasingly to realize and emphasize the importance of workforce skills, even though, in relative terms, they are likely to be significantly more pre-occupied with infrastructure constraints. Interestingly, a large share of firms that have recently failed consider inadequate workforce skills to be a contributing factor of above average importance to firm failure.Publication How to Improve Education Outcomes Most Efficiently? A Comparison of 150 Interventions Using the New Learning-Adjusted Years of Schooling Metric(World Bank, Washington, DC, 2020-10)Many low- and middle-income countries lag far behind high-income countries in educational access and student learning. Limited resources mean that policymakers must make tough choices about which investments to make to improve education. Although hundreds of education interventions have been rigorously evaluated, making comparisons between the results is challenging. Some studies report changes in years of schooling; others report changes in learning. Standard deviations, the metric typically used to report learning gains, measure gains relative to a local distribution of test scores. This metric makes it hard to judge if the gain is worth the cost in absolute terms. This paper proposes using learning-adjusted years of schooling (LAYS) -- which combines access and quality and compares gains to an absolute, cross-country standard -- as a new metric for reporting gains from education interventions. The paper applies LAYS to compare the effectiveness (and cost-effectiveness, where cost is available) of interventions from 150 impact evaluations across 46 countries. The results show that some of the most cost-effective programs deliver the equivalent of three additional years of high-quality schooling (that is, schooling at quality comparable to the highest-performing education systems) for just $100 per child -- compared with zero years for other classes of interventions.Publication Low-Cost Private Schools in Tanzania(World Bank, Washington, DC, 2020-08)This paper discusses the potential role of low-cost private secondary schools in Tanzania. The share of private enrollment has been negatively correlated with the availability of public schools. With the 2016 Fee-Free Basic Education Policy, the public secondary education system is experiencing significant demand pressures. The government has limited resources to address these pressures. Using micro-data from the Morogoro region, the paper finds that private schools have excess capacity that can allow for absorption of additional students at relatively low cost through potential public-private partnerships. The paper finds no evidence that service delivery or student performance is worse in private schools relative to their public counterparts. These findings provide empirical evidence on some key enabling conditions for potential public-private partnerships for secondary education in Tanzania.
Users also downloaded
Showing related downloaded files
Publication Learning-Adjusted Years of Schooling(World Bank, Washington, DC, 2018-09)The standard summary metric of education-based human capital used in macro analyses—the average number of years of schooling in a population—is based only on quantity. But ignoring schooling quality turns out to be a major omission. As recent research shows, students in different countries who have completed the same number of years of school often have vastly different learning outcomes. This paper therefore proposes a new summary measure, Learning-Adjusted Years of Schooling (LAYS), that combines quantity and quality of schooling into a single easy-to-understand metric of progress. The cross-country comparisons produced by this measure are robust to different ways of adjusting for learning (for example, by using different international assessments or different summary learning indicators), and the assumptions and implications of LAYS are consistent with other evidence, including other approaches to quality adjustment. The paper argues that (1) LAYS improves on the standard metric, because it is a better predictor of important outcomes, and it improves incentives for policymakers; and (2) its virtues of simplicity and transparency make it a good candidate summary measure of education.Publication The Exposure of Workers to Artificial Intelligence in Low- and Middle-Income Countries(Washington, DC: World Bank, 2025-02-05)Research on the labor market implications of artificial intelligence has focused principally on high-income countries. This paper analyzes this issue using microdata from a large set of low- and middle-income countries, applying a measure of potential artificial intelligence occupational exposure to a harmonized set of labor force surveys for 25 countries, covering a population of 3.5 billion people. The approach advances work by using harmonized microdata at the level of individual workers, which allows for a multivariate analysis of factors associated with exposure. Additionally, unlike earlier papers, the paper uses highly detailed (4 digit) occupation codes, which provide a more reliable mapping of artificial intelligence exposure to occupation. Results within countries, show that artificial intelligence exposure is higher for women, urban workers, and those with higher education. Exposure decreases by country income level, with high exposure for just 12 percent of workers in low-income countries and 15 percent of workers in lower-middle-income countries. Furthermore, lack of access to electricity limits effective exposure in low-income countries. These results suggest that for developing countries, and in particular low-income countries, the labor market impacts of artificial intelligence will be more limited than in high-income countries. While greater exposure to artificial intelligence indicates larger potential for future changes in certain occupations, it does not equate to job loss, as it could result in augmentation of worker productivity, automation of some tasks, or both.Publication Learning Losses in Pakistan Due to COVID-19 School Closures(World Bank, Washington, DC, 2020-10)Pakistan was among the first countries in the world to institute widespread school closures as a result of Coronavirus 2019 (COVID-19). What are the expected levels of learning that teachers will have to deal with in the class? Will children have lost learning while schools were closed? What should teachers, parents, and children expect from the first few weeks of schooling? How can parents, teachers, and the school system as a whole help children catch up? While school closures have been effective in supporting efforts at social distancing, they may well have serious consequences for schooling and learning. This note presents results from a series of simulations that aim to capture the impacts that school closures in Pakistan may have on the learning levels, enrollment, and future earnings of children and students. In this note, the authors present an overview of how these numbers are calculated and how to interpret them. This note draws on a simulation exercise for all countries on which data is available, including Pakistan, conducted by researchers at the World Bank.Publication What Really Works to Improve Learning in Developing Countries?(World Bank Group, Washington, DC, 2015-02)In the past two years alone, at least six systematic reviews or meta-analyses have examined the interventions that improve learning outcomes in low- and middle-income countries. However, these reviews have sometimes reached starkly different conclusions: reviews, in turn, recommend information technology, interventions that provide information about school quality, or even basic infrastructure (such as desks) to achieve the greatest improvements in student learning. This paper demonstrates that these divergent conclusions are largely driven by differences in the samples of research incorporated by each review. The top recommendations in a given review are often driven by the results of evaluations not included in other reviews. Of 227 studies with student learning results, the most inclusive review incorporates less than half of the total studies. Variance in classification also plays a role. Across the reviews, the three classes of programs that are recommended with some consistency (albeit under different names) are pedagogical interventions (including computer-assisted learning) that tailor teaching to student skills; repeated teacher training interventions, often linked to another pedagogical intervention; and improving accountability through contracts or performance incentives, at least in certain contexts. Future reviews will be most useful if they combine narrative review with meta-analysis, conduct more exhaustive searches, and maintain low aggregation of intervention categories.Publication Floods in Pakistan(Washington, DC: World Bank, 2022-11-01)This note assesses the effects of the 2022 floods on human capital in Pakistan. It focuses on the results of a Pakistan-wide phone survey that gathered information on the experiences of approximately 4,000 families with children ages 3 to 17. The survey was originally designed to track children’s return to school after school closures due to the COVID-19 pandemic, but the team adapted the survey methodology to ensure that it could better document and understand the challenges families with children are facing during the 2022 floods and that the country is experiencing as it seeks to protect and rebuild human capital for the future.