Mitigating Unintended Impacts? The Effects of Premiums for Underserved Populations in Performance-Funding Policies for Higher Education

Performance funding is an increasingly prevalent policy state officials use to allocate a portion of state funds to public colleges and universities. Researchers have begun to evaluate the effect of these policies, finding bleak evidence of their effectiveness in yielding intended outputs and suggesting the policies may even result in limited college access for underserved students. There may also be differences in policy effects depending on performance-funding policy designs, which vary considerably across states. Of particular interest to this study are premiums—financial bonuses to institutions—for promoting access and success for specified underserved student groups. Using difference-in-differences models and an original dataset on premiums in funding models, this study evaluates the impact of premiums for underserved students in performance-funding models on selectivity and the enrollment of minority and low-income students at 4-year universities from 1993 to 2014. We find that the share of both low-income and Hispanic students increases in institutions with performance-funding premiums for underserved students compared to institutions subject to performance funding without such premiums. Effects vary depending on premium type and longevity. The findings also reveal unexpected, negative effects of premiums on Black student enrollments. Our findings suggest that, by incorporating premiums, performance-funding model designers might prevent, minimize, or reverse the negative consequences of performance funding on vulnerable student groups. However, given variation in premium effects across student groups, performance- funding model designs should be tailored to local contexts.     

Pressurizing the STEM Pipeline: an Expectancy-Value Theory Analysis of Youths’ STEM Attitudes

Over the past decade, there has been a strong national push to increase minority students’ positive attitudes towards STEM-related careers. However, despite this focus, minority students have remained underrepresented in these fields. Some researchers have directed their attention towards improving the STEM pipeline which carries students through our educational system and into STEM careers. Previous research has shown that expectancy-value theory (EVT) is useful for examining the short-term as well as long-term academic motivations and intentions of elementary age minority students. These findings provide insights into ways we may be able to potentially “patch” particular STEM pipeline leaks. In the current study, we advance this research by using EVT as a framework to examine the STEM attitudes of young students directly. We hypothesize that students’ academic-related expectancies for success and subjective task values will be associated with an increase in STEM attitudes. Data for this study was gathered over the course of a large-scale computing intervention which sought to increase students’ STEM interest. This computing intervention took place in an urban elementary school district located within the southeastern USA. Results from this study indicate that both intrinsic values and utility values predict students’ STEM attitudes but they influence attitudes related to the various dimensions of STEM differently. These findings demonstrate that EVT provides a useful framework, which can be integrated into future computing interventions, to help encourage positive STEM attitudes in young children, thus increasing the internal pressure (or flow) within the STEM pipeline.     

Examining evolutions in the adoption of metacognitive regulation in reciprocal peer tutoring groups

We aimed to investigate how metacognitive regulation is characterised during collaborative learning in a higher education reciprocal peer tutoring (RPT) setting. Sixty-four Educational Sciences students participated in a semester-long RPT-intervention and tutored one another in small groups of six. All sessions of five randomly selected RPT-groups were videotaped (70 h of video recordings). Analyses were focussed on identifying time-bound evolutions with regard to (a) the frequency of occurrence of metacognitive regulation, (b) the low-/deep-level approach to regulation, and (c) the initiative (by tutors/tutees) for metacognitive regulation. Logistic regression models allowing change points were adopted to study evolutions over time. The results indicated that RPT-groups increasingly adopt metacognitive regulation (i.e. orientation and evaluation) as the RPT-intervention progressed. Regarding RPT-groups’ regulative approach, the results revealed a significant evolution towards deep-level metacognitive regulation (i.e. orientation and monitoring), despite a dominant adoption of low-level regulation strategies. With regard to the initiative, the results demonstrated that tutees started to initiate RPT-groups’ monitoring significantly more frequently as they became familiar with the RPT-setting. Orientation, planning, and evaluation remained tutor-centred responsibilities.     

The Role of Statistical Learning in Word Reading and Spelling Development: More Questions Than Answers

ABSTRACT

This special issue bundles a set of eight empirical studies and one review article that explore the role of statistical learning (SL) mechanisms (both domain-specific and domain-general) in supporting word reading and spelling development, and vice versa. In this introduction to the special issue, we worked to summarize the extent to which studies support our hypotheses relating SL to reading and spelling development while pointing out inconsistencies across studies that require us to refine and rethink our hypotheses.     

The effect of language specific factors on early written composition: the role of spelling,oral language and text generation skills in a shallow orthography

Spelling skills have been identified as one of the major barriers to written text production in young English writers. By contrast oral language skills and text generation have been found to be less influential in the texts produced by beginning writers. To date, our understanding of the role of spelling skills in transparent orthographies is limited. The current study addressed this gap by examining the contribution of spelling, oral language and text generation skills in written text production in Italian beginner writers. Eighty-three children aged 7–8 years participated in the study. Spelling, lexical retrieval, receptive grammar, and written sentence generation and reformulation skills were assessed and children were asked to write a text on a set topic. A factor analysis revealed that the children’s written text production was captured by three factors: productivity, complexity and accuracy. In contrast to results from children learning to write in opaque orthographies, such as English, this study showed that receptive grammar and written sentence generation skills accounted for significant variance in measures of productivity, complexity and accuracy in Italian children’s written text production. Spelling skills contributed to text accuracy and quality and explained more variance than receptive grammar in microstructural accuracy. By contrast, oral grammatical skills explained more variance in text quality than spelling. The current study shows the differential impact of language systems, such as Italian, on written text production. Implications for assessment and instruction are outlined.     

How Can Brain Research Inform Academic Learning and Instruction?

This paper explores the potential of neuroscience for improving educational practice by describing the perspective of educational psychology as a linking science; providing historical context showing educational psychology’s 100-year search for an educationally relevant neuroscience; offering a conceptual framework for the connections among neuroscience, cognitive science, educational psychology, and educational practice; and laying out a research agenda for the emerging field of educational neuroscience.