Relationship between private schooling and achievement: Results from rural and urban India

This paper contributes to the important but small body of research on the role of private schools in Indian education. It uses a household dataset from India with a rich set of household covariates and student performance data on reading, writing, and mathematics. For both rural and urban India the results from regression analyses indicate that private school students perform better on tests controlling for covariates. In both contexts, however, the private school benefit becomes largely, statistically, insignificant after conducting multivariate analysis on data balanced using the propensity score matching technique. The paper also makes an initial attempt to identify ‘low-fee’ private schools; within the regression framework it finds that children in such schools may perform no better than their public school counterparts. The data and methods used in this paper are not without limitations; however these analyses call into question the claim that private school effect may be unequivocally positive and highlights the potential heterogeneity in private school performance in the Indian context.     

Shifting to Remote Learning During COVID-19: Differences for Early Childhood and Early Childhood Special Education Teachers

This study explored similarities and differences in how early childhood education (ECE) teachers (n?=?947) and early childhood special education (ECSE) teachers (n?=?160) provided remote learning to young children and their families following COVID-19 shelter in place orders in the spring of 2020. The most utilized remote learning activities for both ECE and ECSE teachers were the provision of activities for families to use at home, communication with families, online lessons, and singing songs and reading books. Both types of professionals spent more time planning and communicating with families than providing instruction to children. Results of chi-square tests of independence revealed differences in activities provided, how time was spent, and training received by professional role. Open-ended responses revealed particular challenges for ECE and ECSE teachers. Findings are discussed in the context of how the early childhood field adapted quickly to remote learning during COVID-19 and the implications for ongoing technology support for early childhood personnel based on their professional role.

     

Interprofessional Dialogues Within a Senior Mentoring Program: Incorporating Gerontology Students as Facilitation Leaders

Effective health care with older adults requires that clinicians and practitioners are knowledgeable about aging issues and have the skills to work within an interdisciplinary team context. This article describes a Senior Mentoring Program that paired clinical students in medicine, nursing, and a physician assistant program with community-dwelling seniors for regular interactions. This interprofessional education experience included graduate gerontology students as discussion facilitators. Because including gerontology students as Interprofessional Dialogue Facilitators (IDFs) was an innovative aspect of the program, their participation within interdisciplinary groups was analyzed. IDFs monitored a secure internet site where clinical students discussed their experiences with their mentors. Discussion posts by the IDFs were clustered into three major types: amplifying statements that stimulated and furthered dialogue, augmenting posts that integrated specialized content on aging within the discussions, and analyzing comments that helped students reflect on experiences from different perspectives. The advantages of including aging content experts, such as gerontology students, within aging awareness activities like Seminar Mentoring programs are discussed.     

Student Response Technology: Empirically grounded or just a gimmick?

Student Response Technology (SRT) involves the use of hand‐held remotes by students during classroom lectures to electronically respond to questions. This study surveyed 350 students enrolled in one of 13 lower‐division university science classes taught by five different instructors who used SRT. The survey probed students’ perceptions of SRT in terms of enhancing student learning, and investigated which features of SRT students felt had the greatest/least impact on student learning. The majority of students reported that the SRT increased their content understanding, class participation, alertness, and interactions with fellow students, helped with examination preparation, provided important and immediate instructor feedback, and made class more enjoyable. Students in this study scored more positively than peer groups on survey questions related to student engagement in academic and intellectual experiences, suggesting that SRT helps to promote student engagement. Important instructor actions identified during this study that augment the enhancing effects of SRT on student learning, even in large lecture settings, include designing clear, substantive questions, reviewing correct and incorrect answers with students, and making pedagogical adjustments based on class responses.     

Building bridges: the use of reflective oral diaries as a qualitative research tool

The article is a reflection on the use of an oral diary as a qualitative research tool, the role that it played during fieldwork and the methodological issues that emerged. It draws on a small-scale empirical study into primary school teachers' use of group discussion, during which oral diaries were used to explore and document teacher reflective thinking across time. The paper considers the design of the oral diary tool in this context and how its use created both a window on the developing construction of teachers' ideas about their practice of using group discussion in science and also a space to explore emerging analytical themes. The way in which the regular routine of the oral diary entries helped to make connections between the researcher and the participant and nurture fieldwork relationships is discussed in addition to the limitations of this specific research tool.     

Assessing Scientific Practices Using Machine-Learning Methods: How Closely Do They Match Clinical Interview Performance?

The landscape of science education is being transformed by the new Framework for Science Education (National Research Council, A framework for K-12 science education: practices, crosscutting concepts, and core ideas. The National Academies Press, Washington, DC, 2012), which emphasizes the centrality of scientific practices—such as explanation, argumentation, and communication—in science teaching, learning, and assessment. A major challenge facing the field of science education is developing assessment tools that are capable of validly and efficiently evaluating these practices. Our study examined the efficacy of a free, open-source machine-learning tool for evaluating the quality of students’ written explanations of the causes of evolutionary change relative to three other approaches: (1) human-scored written explanations, (2) a multiple-choice test, and (3) clinical oral interviews. A large sample of undergraduates (n = 104) exposed to varying amounts of evolution content completed all three assessments: a clinical oral interview, a written open-response assessment, and a multiple-choice test. Rasch analysis was used to compute linear person measures and linear item measures on a single logit scale. We found that the multiple-choice test displayed poor person and item fit (mean square outfit >1.3), while both oral interview measures and computer-generated written response measures exhibited acceptable fit (average mean square outfit for interview: person 0.97, item 0.97; computer: person 1.03, item 1.06). Multiple-choice test measures were more weakly associated with interview measures (r = 0.35) than the computer-scored explanation measures (r = 0.63). Overall, Rasch analysis indicated that computer-scored written explanation measures (1) have the strongest correspondence to oral interview measures; (2) are capable of capturing students’ normative scientific and naive ideas as accurately as human-scored explanations, and (3) more validly detect understanding than the multiple-choice assessment. These findings demonstrate the great potential of machine-learning tools for assessing key scientific practices highlighted in the new Framework for Science Education.     

Twice exceptionality in neoliberal education cultures: Implications for special educational needs co-ordinators

‘Twice exceptionality’ describes the coexistence of a learning difficulty or disability (SEN/D) and exceptional performance in one area of learning. A popular discourse around autism and savantism in the United States promotes a hierarchical differentiation of the ‘twice exceptional’ based on measured intelligence and commodifies support for this group. Such support is designed to appeal to a neoliberal ethos of seeking competitive advantage in a marketised system. Alternatively, special educational needs co-ordinators (SENCOs) could raise awareness and promote a non-hierarchical understanding of ‘twice exceptionality’ in schools, thereby highlighting what is missed when allegedly science-based discourses become hegemonic within education and when governmentally mandated accountability practices are prioritised over professional judgement and the interests of individual students. Calls for ‘twice exceptionality’ to be recognised as a SEN/D category risk additional pressures on SENCOs at a time when governmental demands on SENCOs throughout the COVID-19 pandemic have served to heighten existing tensions associated with the neoliberalisation of education (commercialisation, commodification, decentralisation, and residualisation). Nevertheless, SENCOs could play a key role in addressing longer-term processes affecting children with dis/abilities and learning difficulties such as stigmatisation and, in this instance, discriminatory configurations of ‘giftedness’.     

Learning with and from: positioning school students as advisors in pre-service teacher education

This article reports on an innovative pedagogical approach within the Learning Partnerships program in which school students help to ‘teach the teachers’ within pre-service teacher education. Classes of school students join with classes of pre-service teachers to provide input on how teachers can enhance school students’ engagement and wellbeing. The article draws on data collected from 125 students (aged 13–16) and 120 pre-service teachers in these workshops. Findings generated from a mixed methods study combining pre-workshop focus groups (n = Students: 38, Teachers: 33) and post-workshop focus groups (n = Students: 69, Teachers: 15) and post-workshop surveys (n = Students: 96; Teachers: 101) demonstrated that the workshops were mutually beneficial for both students and pre-service teachers. Participants found that workshopping together enhanced their belief in the possibility of positive student–teacher relationships. The pre-service teachers reported greater confidence in communicating with young people about the issues that affect student engagement and wellbeing. The school students reported that they were more willing to use teachers as a source of help. Implications include the need for increased attention to a ‘third space’ for learning in teacher development which provides opportunity for learning with and from young people about how to foster their engagement and wellbeing.     

Do maternal concerns at delivery predict parenting stress during infancy?

OBJECTIVE: In a previous study, we found that new mothers could and would express concerns about their parenting, including concerns about maltreatment and poor care. In this study, we examine the utility of early maternal concerns for predicting parenting stress in the first year. Parenting stress is important because it has been shown to be related to maltreatment and poor parent-child relationships. METHOD: A sample of 246 mothers were interviewed shortly after delivery in a publicly funded hospital about their parenting concerns, and 93% were reinterviewed in their homes about their parenting when the infants were 6 to 12 months old. Standardized measures with demonstrated psychometric properties were employed, including a measure of parenting stress due to the demands of the parenting role, characteristics of the child that make him or her difficult to care for, and stress due to difficult interactions. RESULTS: Multiple regression results indicate that both mothers concerns at delivery and sociodemographic variables are significant predictors of all three types of parenting stress in infancy. Maternal concerns were more powerful than sociodemographics in predicting stress related to the demands of parenting, while sociodemographics were more powerful for the prediction of stress related to difficult child characteristics and difficult mother-infant interaction. CONCLUSIONS: These findings suggest that knowledge of new mothers' parenting concerns might be useful for predicting parenting problems, as well as for engaging mothers' in and enhancing the effectiveness of parenting services.