Quantifying Qualitative Scholarship: A Fool’s Errand or a Methodological Necessity?

This paper describes our efforts to systematically generate knowledge from ethnographic and other qualitative scholarship as a way of bridging intellectual gaps found in quantitative research. We ground this scholarly endeavor in the study of gangs, which has a lengthy history in the field of criminology, yet lacks a coherent, coordinated, and comparative understanding of gang dynamics, behavior, and impacts. We discuss the importance of acknowledging the multiple and mixed methodologies used in gang scholarship and detail the inductive, deductive, and iterative process that helped us (1) develop a comprehensive coding instrument for coding a range of qualitative works, (2) establish the instrument’s inter-rater reliability, and (3) remain cognizant and reflexive about the strengths of both quantitative and qualitative research. Finally, we share the critical yet informative challenges we faced throughout the project and conclude with reflections on why the project was unsuccessful in the way we originally envisioned.     

The Effect of Increasing Conceptual Challenge in Primary Science Lessons on Pupils' Achievement and Engagement

This paper reports research into the effect on 11‐year‐old pupils of introducing more cognitively challenging, practical, and interactive science lessons. Our hypothesis was that such lessons would increase the children's enthusiasm for science and their engagement with the scientific process, thereby improving educational performance. Schools in England are under pressure to raise achievement, as measured by the results of national tests. This has an impact on teaching, where revision of subject knowledge often dominates and can be particularly detrimental to more able pupils. The research was a controlled trial which took place in thirty‐two English primary schools as part of a project “Conceptual Challenge in Primary Science”. Teachers from 16 intervention schools participated in continuing professional development (CPD) and developed science lessons that had more practical work, more discussion, more thinking and less (but more focused) writing. The proportion of pupils achieving the highest level (level 5) in the national science tests at age 11 was compared in the matched‐school pairs before and after the intervention. Focus group interviews were also held with a group of pupils in each intervention school. There was a 10% (95% Confidence Interval 2–17%) increase in the proportion of children achieving the top score in the intervention schools. The pupils and teachers reported greater engagement and motivation. These findings suggest that moving from rote revision to cognitively challenging, interactive science could help improve science education. They merit replication in other international settings to test their generalisability.     

新一代流行乐之王

At the Butcher Shop, a steakhouse in downtown Memphis, a banquet-size table is crowded with people who are all somehow asso-ciated with Justin Timberlake: his mother and stepfather, Lynn and Paul Harless (who co-manage his career), his best friend's girlfriend, his publicist, some family friends, business asso-ciates, me. We pass our time laughing and drinking wine and eating filet (鱼片) mignon and twice-baked potatoes, but we're really just waiting     

爱:最神奇的力量

一位大学教授在他的社会学课堂上,让他的学生去巴尔迪摩贫民窟找到两百个男孩的记录,并且要对每个男孩的未来做出评估.学生们给每个孩子的评价都是:“这辈子根本没有机会翻身了.”二十五年后,另外一个社会学教授发现了这个早期做过的社会调查.于是他让自己的学生继续探究这个课题,看看当初那些小男孩现在到底怎么样了.     

Ten Salient Practices of Undergraduate Research Mentors: A Review of the Literature

This paper identifies salient practices of faculty mentors of undergraduate research (UR) as indicated in the extensive literature of the past two decades on UR. The well-established benefits for students involved in UR are dependent, first and foremost, on high-quality mentoring. Mentorship is a defining feature of UR. As more and different types of colleges and universities strive to meet student demand for authentic scholarly experiences, it is imperative to identify what effective UR mentors do in order to ensure student engagement, quality enhancement, retention, and degree-completion. We offer an original analysis of the literature on UR mentoring in which we identify 10 significant “lessons learned,” or evidence-based practices of effective UR mentors that apply broadly across disciplines, students, institutions, and mentoring approaches.     

How students reason about matter flows and accumulations in complex biological phenomena: An emerging learning progression for mass balance

In recent years, there has been a strong push to transform STEM education at K-12 and collegiate levels to help students learn to think like scientists. One aspect of this transformation involves redesigning instruction and curricula around fundamental scientific ideas that serve as conceptual scaffolds students can use to build cohesive knowledge structures. In this study, we investigated how students use mass balance reasoning as a conceptual scaffold to gain a deeper understanding of how matter moves through biological systems. Our aim was to lay the groundwork for a mass balance learning progression in physiology. We drew on a general models framework from biology and a covariational reasoning framework from math education to interpret students' mass balance ideas. We used a constant comparative method to identify students' reasoning patterns from 73 interviews conducted with undergraduate biology students. We helped validate the reasoning patterns identified with >8000 written responses collected from students at multiple institutions. From our analyses, we identified two related progress variables that describe key elements of students' performances: the first describes how students identify and use matter flows in biology phenomena; the second characterizes how students use net rate-of-change to predict how matter accumulates in, or disperses from, a compartment. We also present a case study of how we used our emerging mass balance learning progression to inform instructional practices to support students' mass balance reasoning. Our progress variables describe one way students engage in three dimensional learning by showing how student performances associated with the practice of mathematical thinking reveal their understanding of the core concept of matter flows as governed by the crosscutting concept of matter conservation. Though our work is situated in physiology, it extends previous work in climate change education and is applicable to other scientific fields, such as physics, engineering, and geochemistry.     

Doing good while performing well at Flemish universities: benchmarking higher education institutions in terms of social inclusion and market performance

Universities, and higher education institutions in general, are ever more influenced by output-driven performance indicators and models that originally stem from the profit-organisational context. As a result, universities are increasingly considering management tools that support them in the (decision) process for attaining their strategic goals. The growth-share matrix is one of these tools that has proven its value in diverse business and competitive contexts in the past few decades. The present study’s contribution is twofold. First, we apply and interpret the growth-share matrix as part of a strategic positioning analysis in a strategic university context. Second, we extend this tool by incorporating social inclusion as a third dimension in the analysis. In recent years, discussions on the rising social disparity among adolescents in higher education have increased and different types of actors have raised the motivation to create more equal opportunities for prospective students who rank among the group of socially disadvantaged adolescents. The findings of an empirical case of the proposed model for a particular Belgian academic programme show that increased social inclusion and higher performance parameters, such as growth in student enrolments and diplomas, can be reached simultaneously.     

More than Bags of Words: Sentiment Analysis with Word Embeddings

ABSTRACT

Moving beyond the dominant bag-of-words approach to sentiment analysis we introduce an alternative procedure based on distributed word embeddings. The strength of word embeddings is the ability to capture similarities in word meaning. We use word embeddings as part of a supervised machine learning procedure which estimates levels of negativity in parliamentary speeches. The procedure’s accuracy is evaluated with crowdcoded training sentences; its external validity through a study of patterns of negativity in Austrian parliamentary speeches. The results show the potential of the word embeddings approach for sentiment analysis in the social sciences.     

Design of a fast real-time LPV model predictive control system for semi-active suspension control of a full vehicle

This article is concerned with the control of a Semi-Active suspension system of a 7DOF Full Vehicle model, equipped with four Electro Rheological (ER) dampers, taking into account their incipient dissipativity constraints. Herein, a real-time, fast, advanced control structure is presented within the Model Predictive Control framework for Linear Parameter Varying (LPV) systems. The control algorithm is developed to provide a suitable trade-off between comfort and handling performances of the vehicle in a very limited sampling period ($T_s=5\text{ms}$), in view of a possible realtime implementation on a real vehicle. The control structure is tested and compared to other standard fast control approaches. Full nonlinear realistic simulation results illustrate the overall good operation and behaviour of the proposed control approach.     

SimPharm: How pharmacy students made meaning of a clinical case differently in paper‐ and simulation‐based workshops

Several scholars contend that learning with computer games and simulations results in students thinking more like professionals. Bearing this goal in mind, we investigated how a group of pharmacy students learnt with an in‐house developed computer simulation, SimPharm. Adopting situated cognition as our theoretical lens, we conducted a case study involving 20 undergraduate students to tease out how they made meaning of a clinical case differently in two different contexts: a typical paper‐based workshop and one enabled by SimPharm. The data collected included audio recordings of classroom discourse, focus group interviews and class observations. The findings identified differences in four areas: framing of the problem; problem‐solving steps and tools used; sources and meaning of feedback; and conceptualisation of the patient. These four areas can serve as axes along which future evaluations of educational simulations can be carried out based on their affordances.