Country Code: 
KEN

Social Emotional Learning, Academic Achievement, and Inequality: SEL's potential to improve academic outcomes: Expanding the Evidence Base

Presentation showcases findings about specific social and emotional skills and their in individual relationships to academic achievement. Importantly, these findings highlight the possible link between inequalities in academic achievement being attributed to the inequalities in SEL. These findings will be published in UNESCO GEMR Spotlight Series 2024.

Tusome pilot remedial reading program [CIES 2024 Presentation]

This presentation was delivered during CIES 2024 conference. It describes a pilot remedial reading program that was conducted as part of the Tusome program. The program was focused on improving the foundational English literacy skills of struggling grade 3 learners. Treatment 1 took place in 97 public schools across 12 counties and Treatment 2 took place in 96 learning centers across 20 counties, overseen by 23 youth bunges (youth-led organizations). Teachers in the program were trained and mentored by a combination of senior teachers, Sub-County Quality Assurance and Standards Officers (SCQASOs) and Tusome staff. Sixty control schools were also included as part of the pilot study.

Can the Middle Tier Drive Foundational Learning at Scale?

An integral part of a decentralized education system hierarchy is the “middle tier” comprising subnational actors in charge of education delivery at the regional, provincial, state, district, municipality, city, or circuit and cluster levels. The general roles and responsibilities of the middle tier are described in research on district leadership in OECD countries. Their responsibilities range from planning, monitoring, and implementing reforms at the subnational and school levels, to ensuring school-based accountability through data and evidence, to innovating, supporting, and monitoring improvements in teaching and learning in schools through instructional leadership and fostering professional learning communities at the district and school levels. While rigorous academic evidence may be lacking on the ability of middle managers to bring about improvements in foundational literacy and learning outcomes at scale in LMICs, we have theoretical and programmatic evidence on (1) their role in instructional leadership, (2) the importance of building their capacity to drive teaching and learning, and (3) the importance of trust and support within the education system that fosters learning at scale. Thumbnail Credit: Pakistan Reading Program/IRC

Understanding Teachers’ Attitudes towards Learning through Play and their Classroom Practice in Kenya, Rwanda and Ghana [CIES 2023 Presentation]

This presentation focused on learning through play-based pedagogies in Kenya, Rwanda and Ghana. Some key findings discussed are: (1) Teachers in general support the concept of play and employing play-based teaching in the classroom, but far fewer are okay with students directing their own learning. (2) In practice, teachers spend the most time explaining/lecturing and monitoring the class. (3) At midline, significant changes were detected in some aspects of teacher practice in Kenya and Ghana, but overall, the frequency of play-based approaches is low.

Examining teacher support and play-based practice in Kenya, Rwanda and Ghana [CIES 2023 Presentation]

While there is growing evidence of the impact of learning through play (LtP) on student outcomes in high-income countries, there is little research linking LtP to learning outcomes in low-and middle-income contexts in primary schools. This presentation focuses on the midline evaluation findings from an education improvement initiative that is seeking to expand playful pedagogies into primary schools in five low and middle-income countries (LMICs). In this presentation, we examine the different approaches taken by projects to support teachers to test, adapt, and adopt LtP in their classroom. We link these findings to classroom observation data on the frequency with which teachers employ more collaborative, interactive, creative, exploratory, and student-driven play-based approaches. We also discuss the impacts of these activities on student outcomes (EGRA, EGMA and SEL).

What have we learned about improving learning at the system level? [CIES 2023 Presentation]

This presentation, given at the CIES 2023 Annual Conference, highlights the global shift in measurement and improvement in learning outcomes since the adoption of SDG 4.1.1, under which countries are asked to report on the “the proportion of children and young people…achieving at least a minimum proficiency level in reading and mathematics”. Building on these results, the World Bank and UIS estimate that eighty percent of children in poor countries cannot read a simple sentence by the end of primary school. In reviewing the results of multiple regional and systems-level learning improvement programs to better understand the distribution of learning outcomes and system-level impact we find that: 1) while some progress has been made, the massive changes required to move the needle on the share of children reaching minimum proficiency remains elusive and 2) a small share of schools account for the majority of the gains. Finally, the panelist will create a link between this challenge and the theme of the panel; that education change will only be successful if work is undertaken to better understand and diminish the restraining forces of mindsets and education system social norms.

Measuring support for children’s engagement in learning: psychometric properties of the PLAY toolkit [CIES 2023 Presentation]

Despite the growing interest in supporting learning through play across many low and middle-income countries, measures of how contexts can support learning through play are lacking. As part of the Playful Learning Across the Years (PLAY) project, the concept of “self-sustaining engagement” was identified as central to learning through play. That is, learning through play is effective because children are deeply engaged in their learning and are self-motivated to learn. The PLAY toolkit was designed to measure how settings – particularly adult-child interactions in those settings – support children’s self-sustaining engagement in learning. The toolkit was developed for use in multiple age-groups across different settings. For the 0-2 age-group, the toolkit assessed support for children’s engagement in the home, largely through interactions between the caregiver and child. These interactions were assessed through observations and through an interview with the caregiver. In the 3-5 age-group, tools were developed to measure support for engagement in the home and the classroom. Tools for the 6-12 age-group were focused only on the classroom. The classroom-based tools had several components. Teacher-child interactions were assessed through observations, a teacher survey and – for the 6-12 age-group only – a student survey. There was also a classroom inventory to assess physical aspects of the classroom – such as materials on the walls – which might support self-sustaining engagement in learning. The toolkit was developed in three phases – the Build phase used qualitative data to understand local concepts of self-sustaining engagement. The Adapt phase used cognitive interviewing and small-scale (approx. 25 schools, centers or homes) quantitative data to refine the tools. In the Test Phase we used large-scale (approx. 150 schools, centres or homes) quantitative data to assess the psychometric properties of the tool. This presentation focuses on these psychometric analyses. Data were collected for the 6-12 age group from Kenya, Ghana and Colombia; for the 3-5 age group from Colombia, Jordan and Ghana; and from Colombia only for the 0-2 age group. Results indicate how the concept of “support for self-sustaining engagement” can be divided into constituent sub-scales and how the different methods of assessment – observation, teacher report and student report – relate to one another. We will discuss plans to develop a final toolkit, based on these analyses, which can help strengthen the evidence base on learning through play.

Multi-Language Assessment (MLA) for young children: A screener to understand language assets [CIES 2023 Presentation]

The lack of information about children’s oral language skills limits our understanding of why some children do not respond to literacy instruction. Even though native language oral language skills are not strong predictors of native language decoding (Durgunoglu et al., 1993; Lesaux et al., 2006), oral language skills have been shown to have a small role in non-native word reading for non-native speakers (Geva, 2006; Quiroga et al., 2002). Yet, understanding that threshold of language skills is not understood. Cross-linguistic studies show that some literacy skills transfer between languages (Abu-Rabia & Siegel, 2002; Bialystok, McBride-Chang, & Luk, 2005; Cisero & Royer, 1995; Comeau, Cormier, Grandmaison, & Lacroix, 1999; Denton et al., 2000; Durgunoglu, 2002; Durgunoglu et al., 1993; Genesee & Geva, 2006; Gottardo, Yan, Siegel, & Wade-Woolley, 2001; Koda, 2007; Wang et al., 2006). This includes letter knowledge, print concepts, and language skills (phonological awareness and vocabulary). The transfer of these skills is considered a resource (Genesee, Geva, Dressler, & Kamil, 2006) that assists reading in the additional languages. Children learning to read in a non-native language bring their first language (i.e., mother tongue) to the instructional setting. Yet, its use will depend on the teacher’s use translanguaging between the language of instruction and children’s home language (s). The presence of two or more languages contributes to children having domains of knowledge in specific languages. For example, domains of knowledge children learn at school such as shapes, might only be known in the language of instruction. Relatedly, domains of knowledge they learn at home from family interactions, such as cooking, might only be known in the mother-tongue. And domains of knowledge that children learn on the playground, are likely to be learned in a lingua franca, or a common language to the area. Even though mixing languages is common, most language assessments do not capture this knowledge. Even in samples with multi-lingual students, for reasons of reliability and consistency, most language assessments assess children in just one language and describe results for that language. The results are used to help to explain results on reading assessments. But measuring language skills in just one language overlooks the concepts that a multilingual child may have in other languages and describe them from a deficit approach opposed to the asset of being multi-lingual. To address this problem, we developed a tool, the Multi-Language Assessment (MLA), to measure children’s expressive language across multiple languages to understand the skills they have to support their learning. The tool is intended to be reliable, valid, and child friendly. It is our hypothesis that children’s expressive language scores across multiple languages can help to explain their success or struggles in the early years of formal schooling. We conceptualized and developed the Multi-Language Assessment (MLA) to capture children’s language skills across multiple languages in a 7-minute interaction with a trained assessor. The MLA measures expressive language of 36 concepts shown in 36 images that children would be exposed to through family and community interactions, conversations, media, books, or school. The items included in the assessment yield variable distribution; they are not intended to be items that would yield ceiling effects. A child’s utterance is coded to one of nine categories of varying weights. Furthermore, the items are intended to have levels of a familiarity. For example, for an image of a coconut tree, some children might call it that, while other children describe it by its domain, a tree, not identifying the specific type. Both utterances would earn a child points but of varying weight. Research Problem 1. Many children in low- and middle-income contexts do not learn to read in lower primary efficiently. 2. Some people hypothesize that the reason for children’s poor performance is language related. 3. When children’s language skills are assessed it is usually in one language and describes their abilities as deficits as opposed to considering their assets of being multi-lingual. 4. Assessing language requires time and young children’s attention spans are short, reducing data quality if the assessment is too long. 5. The MLA was created to understand expressive language use across multiple languages and to be brief Study: The paper presents results from a recent longitudinal study that collected child level results at two time points in government school in rural Kenya. It includes the aforementioned multi-language assessment and measures of reading achievement (e.g., letter knowledge and spelling) at Time 1 when all children were in kindergarten and again at Time 2 when they had advanced to either a higher Kindergarten or to Grade 1. An existing measure of expressive language was used to explore concurrent validity of the MLA. The Time 1 sample (n=215) was large enough to examine the technical properties of the tool and the Time 2 sample (n=200) had only 7% attrition so there was sufficient power to describe individual changes. The features of the language assessment suggest that it is reliable and sensitive. The following analysis been conducted: 1) Sample demographics; 2) Distributions by subtasks; 3) Measures of association between subtasks; 4) Item analysis The following research questions are addressed: 1. How does expressive language use evolve for children who use three languages as they progress from kindergarten into first grade? For example, do they shift from using the home language for some items at Time 1 to a language of instruction at Time 2? 2. How does children’s overall expressive language knowledge (as measured in three languages) contribute to their reading achievement (letter sound knowledge and spelling) as measured in two languages over time?

What Works to Improve Learning at Scale? Key Findings from Learning at Scale and the Kenya Tusome Early Grade Reading Activity

This brief presents findings on what worked to improve learning outcomes at scale under 8 successful early grade literacy programs, with a focus on findings from the Tusome program in Kenya.1 These findings were generated as part of the Learning at Scale study, conducted by RTI International with the Center for Global Development and funded by the Bill and Melinda Gates Foundation.

Principles for adapting playful pedagogies to context [CIES Presentation]

Efforts to promote playful pedagogies in low- and middle-income countries face many challenges. Among these challenges are the norms of teacher-child interaction that have a strong cultural basis. These norms include children’s reluctance to speak in front of adults, teachers’ desire to avoid embarrassing children and to promote a sense of fairness and togetherness in the classroom (Jukes et al, 2021a). In this paper I suggest an approach for adapting pedagogy to cultural context. The approach involves designing teaching activities to achieve two goals. Building on the work of others (O’Sullivan, 2004; Schweistfurth, 2013), the first is the cognitive learning goal of the activity. The second is the culturally appropriate social goal of the activity. This framing helps to design instructional approaches that promote learning and can be readily taken up by teachers. This approach is particularly effective when teaching activities are co-constructed with teachers (Randolph et al, 2020). In this paper I will discuss 3 studies of teacher perceptions and classroom behaviours in Tanzania that led to the development of this approach (Jukes et al, 2021b). I will also present one example of a teacher co-creation workshop in Tanzania based on the suggested approach to contextualising teaching activities. I will also illustrate the application to the contextualisation of playful pedagogies, based on qualitative research in Kenya and Ghana.

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