Attracting tomorrow’s engineers: an evaluation of a scheme to enhance recruitment into engineering

This paper reports a survey of 16 to 17 year old students who took part in a school based project activity designed to motivate them to consider a career in engineering. The scheme can be considered a success in that an uppermost estimated figure of 19% more students were recruited to engineering undergraduate courses than might otherwise have been the case in the absence of the scheme. The price that was paid for this was that for every additional engineer recruited to an undergraduate course there were ten participants on the scheme. The way that youngsters make decisions about career choices is discussed in an attempt to throw some light on the mechanisms for uptake (and abandonment) of careers in engineering.     

A Layered Framework for Considering Open Science Practices

The open science movement, although not new to social science broadly, has gained momentum recently within communication science. In response, journals in our field have begun encouraging open science practices, from data and materials sharing to submitting preregistered research reports. However, this momentum has also led to some confusion over what is and is not considered open science and what the value of open sciences practices is. In this editorial we lay out an “onion model” of open science that describes increasing levels of transparency and suggests how open science practices can be understood less as a revolutionary concept but more as a logical extension of some of the historical pillars of scientific norms. Through this model, we provide tangible steps for how scholars may begin thinking about how to introduce open science practices into their current and future empirical efforts.     

Efficient online index maintenance for contiguous inverted lists

Search engines and other text retrieval systems use high-performance inverted indexes to provide efficient text query evaluation. Algorithms for fast query evaluation and index construction are well-known, but relatively little has been published concerning update. In this paper, we experimentally evaluate the two main alternative strategies for index maintenance in the presence of insertions, with the constraint that inverted lists remain contiguous on disk for fast query evaluation. The in-place and re-merge strategies are benchmarked against the baseline of a complete re-build. Our experiments with large volumes of web data show that re-merge is the fastest approach if large buffers are available, but that even a simple implementation of in-place update is suitable when the rate of insertion is low or memory buffer size is limited. We also show that with careful design of aspects of implementation such as free-space management, in-place update can be improved by around an order of magnitude over a naïve implementation.     

Public funds and local biotechnology firm creation

A long stream of academic literature has established that public funding towards research and development matters for economic growth because it relates to increases in innovation, productivity and the like. The impact of public funding on the creation of new firms has received less attention in this literature despite theoretical constructs that support such association. In the present paper we study whether indeed there is a relationship between public research funds and local firm births in the context of the U.S. biotechnology industry. In doing so, we introduce a number of changes that strengthen the robustness of our findings when compared with existing literature. These changes include a direct measure of research expenditures and a considerably lengthier longitudinal dataset which allows us to capture a structural relationship and not a chance event. We empirically demonstrate that increases in the level of research funding from the National Institutes of Health towards biotechnology associate with increases in the number of biotechnology firm births at the Metropolitan Statistical Area level. Further, we reveal that public funds towards established firms associate with local firm births considerably more strongly when compared with funds towards universities and research institutes/hospitals. We conclude the paper with academic and policy implications of the present work that highlight the complexity of factors that underlie the creation of local firms in high technology industries.     

Partially Flipped Linear Algebra: A Team–Based Approach

Abstract

In this article we describe a partially flipped Introductory Linear Algebra course developed by three faculty members at two different universities. We give motivation for our partially flipped design and describe our implementation in detail. Two main features of our course design are team-developed preview videos and related in-class activities. We share quantitative data and qualitative lessons learned related to our project.     

What are “Complex Case Discussions” and how do they impact on key-workers?

Previous research has not focussed on defining the abstract, transferable processes which make ongoing consultation successful. This study aimed to explore and define the nature and impact of weekly consultations, or “Complex Case Discussions” (CCDs), with key-workers from two family intervention projects which were facilitated by educational psychologists (EPs) within one local authority (LA). Semi-structured interviews were carried out with key-workers. These were first transcribed and then analysed using thematic analysis. The themes identified fell into three overarching themes: “Process”, “People” and “Impact”. CCDs may lead to a quicker turnaround of families and to more sustainable changes. The key, transferable processes which make CCDs successful and valuable were identified as: time, hypothesising, a tailored approach and questioning assumptions. Due to the small-scale nature of this study, future research may look to apply these principles more widely and evaluate the impact of doing so.     

A Meta-Analysis of Interventions to Improve Reading Comprehension Outcomes for Adolescents with Reading Difficulties

This meta-analysis synthesized 97 effect sizes extracted from 37 intervention studies for students with reading difficulties (RDs) in Grades 6 to 12 published between 1982 and 2021 to identify the overall impact of reading interventions and the moderating effects of intervention characteristics and study design characteristics. Random-effects robust variance estimation (RVE) was used to account for dependencies within studies. Overall, interventions designed to improve reading comprehension outcomes for adolescents with RDs were effective (g = 0.63). Meta-regression analyses identified several significant moderators that were associated with intervention efficacy, such as text content, duration of intervention, agent of intervention, status of student, type of dependent measure, and study quality. We provide study limitations as well as implications for research and practice.     

Examining direct and indirect effects of classroom procedural justice on online students’ willingness to talk

Interest in understanding what constitutes effective instruction online continues to grow as more universities adopt mediated formats for teaching. However, engaging students in productive, content-related conversation in online courses remains challenging. Several variables may influence student willingness to talk in online classes – procedural justice, affect towards the instructor, and perceived cognitive learning – each with probable direct and indirect effects on student inclinations for communicating in the classroom. This study proposes a model predicting student willingness to talk in online classes. Results indicate initial support for the proposed model, and practical implications for instructors teaching online courses are suggested.