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The purpose of this study is to propose implications for improving Cambodia secondary pre-service teacher education in the view of teacher professionalism. To do so, this study attempts to review the current system and implementation of Cambodia secondary pre-service teacher education and reveal perception of current Cambodia teachers. The survey data in this analysis are from the secondary school teachers in Kampong Chhnang province. Survey, conducted in 2020, provides detailed information...
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Students in secondary and tertiary education settings face a wide range of ongoing stressors related to academic demands. Previous research indicates that academic-related stress can reduce academic achievement, decrease motivation and increase the risk of school dropout. The longer-term impacts, which include reduced likelihood of sustainable employment, cost Governments billions of dollars each year. This narrative review presents the most recent research concerning the impact of...
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The goal of this doctoral work was to build a bridge between academia and small and medium-sized enterprises (SMEs) in the educational technology (edtech) sector by bringing the rigour of academic research methods to start-up and scale-up environments so that they can conceptualise and realise products that are built with evidence from the learning sciences. The overall research question, What theoretical framework supports edtech enterprises to build evidence-informed products and services?...
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The application of Challenge-Based Learning (CBL) has increased in higher education institutions, fostering student transversal competencies, knowledge of sociotechnical problems, and collaboration with industry and community actors. However, a broad range of different frameworks, hybrid approaches, and educational interventions are using this term to define their approach. This lack of standardization creates definitional and conceptual challenges for the domain. A review of CBL literature...
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The focus of this paper is on the complementary mechanisms and interventions likely to increase the effectiveness and impact of conditional cash transfer (CCT) schemes in South Asia that aim to reduce female infanticide and child marriage and promote girls’ education. The literature on the institutional aspects of these particular schemes is limited, but from this and from the wider literature on CCT programmes in similar contexts, the following institutional mechanisms are likely to enhance...
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Professional learning communities (PLCs) are an alternative approach to teacher professional development, especially in low-and-middle income countries (LMICs). Existing conceptualizations of PLCs in Western literature, however, don’t recognize that PLCs in LMICs may operate differently to reflect local contexts. In fact, much of the literature considers PLCs only school-based, organic initiatives and doesn’t acknowledge that PLCs in LMICs are often purposeful and part of broad educational...
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Impact evaluations can help to inform policy decisions, but they are rooted in particular contexts and to what extent they generalize is an open question. I exploit a new data set of impact evaluation results and find a large amount of effect heterogeneity. Effect sizes vary systematically with study characteristics, with government-implemented programs having smaller effect sizes than academic or non-governmental organization-implemented programs, even controlling for sample size. I show...
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This review examines evidence on the key design features and impact of programmes that use Conditional Cash Transfers (CCTs) or baby bonds to reduce female infanticide, child marriage and promote girl’s education. Conditional cash transfer (CCT) schemes have been adopted to promote the survival and well-being of girls. They provide parents with financial incentives to raise daughters; to delay marrying them until age 18, and to reduce the gender imbalance in school. Given that many CCT...
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The world has witnessed a sudden change in the teaching-learning processes due to the ongoing pandemic of COVID-19. The worldwide compulsive lockdown for ensuring the preventive measures to stop the spread of this infection has equally affected education sector as other business sectors. As all of us know that quality education is the only long-term rescue for all the challenges and therefore, the need to find out the alternative solution to the traditional classroom teaching-learning is the...
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Population-representative household survey methods require up-to-date sampling frames and sample designs that minimize time and cost of fieldwork especially in low- and middle-income countries. Traditional methods such as multi-stage cluster sampling, random-walk, or spatial sampling can be cumbersome, costly or inaccurate, leading to well-known biases. However, a new tool, Epicentre’s Geo-Sampler program, allows simple random sampling of structures, which can eliminate some of these biases....
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Outcomes-based education, where funding is dependent on results, could help ensure quality schooling for millions in a post-pandemic world where social budgets are constrained.
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The scholarly information-seeking process for behavioral research consists of three phases: searching, accessing, and processing of past research. Existing IT artifacts, such as Google Scholar, have in part addressed the searching and accessing phases, but fall short of facilitating the processing phase, creating a knowledge inaccessibility problem. We propose a behavioral ontology learning from text (BOLT) design framework that presents concrete prescriptions for developing systems capable...
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Schools closed extensively during the COVID-19 pandemic and occur in other settings, such as teacher strikes and natural disasters. This paper provides some of the first experimental evidence on strategies to minimize learning loss when schools close. We run a randomized trial of low-technology interventions – SMS messages and phone calls – with parents to support their child. The combined treatment cost-effectively improves learning by 0.12 standard deviations. We develop remote assessment...
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Relational facts are an important component of human knowledge, which are hidden in vast amounts of text. In order to extract these facts from text, people have been working on relation extraction (RE) for years. From early pattern matching to current neural networks, existing RE methods have achieved significant progress. Yet with explosion of Web text and emergence of new relations, human knowledge is increasing drastically, and we thus require “more” from RE: a more powerful RE system...
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The purpose of this quantitative study was to determine the effectiveness of blended learning within the context of a science education methods course for early childhood elementary preservice teachers in Turkey. Elementary teachers historically fear science and avoid using it in their classes. This course was blended to allow the students to experience active science learning during face to face sessions. Student perceptions about their experiences in a blended methods course were collected...
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