A Scoping Review of Colorism in Schools: Academic, Social, and Emotional Experiences of Students of Color

Students of color experience academic, social, and emotional challenges due to colorism in schools. The purpose of this scoping review is to compare the experiences with colorism of students from varying racial backgrounds (African Americans, Native Americans, Asians, and Latin) in U.S. public schools. It is predicted that the understudied group of Latinx and indigenous students of color will uniquely experience colorism in academic settings when compared to African American and Asian students. A 30 article literature review utilizing search dates from 1990 to 2020 was conducted employing a scoping review framework. Themes emerged that include: the privileging of lighter skin and more Eurocentric features in academic outcomes, the complicated social status created for students of color experiencing colorism in schools, and the increased potential for emotional challenges as a result of colorism. This review highlights possible school reform efforts to affirm all skin tones, reduce colorist biases, and offer mediation to mitigate colorist experiences in the school environment.

Effective Veterinary Clinical Teaching in a Variety of Teaching Settings

This review explores different modalities for clinical teaching of veterinary learners globally. Effective clinical teaching aims to prepare graduates for a successful career in clinical practice. Unfortunately, there is scant literature concerning clinical teaching in veterinary medicine. Our intent for this review is to stimulate and/or facilitate discussion and/or research in this important area. We discuss the different forms that veterinary clinical teaching can take, depending on their setting, which can be university-based clinical activities, work-based in commercial clinical practices, or in a traditional academic setting with little to no real-time exposure to clients and patients. We suggest that each of these modalities has a place in clinical teaching of veterinary learners at any point in the curriculum but that a mix of these approaches will likely provide an improved experience for the learner. Further, we discuss strategies to improve clinical teaching in these different settings. Potential strategies related to the teaching skills of clinical instructors could include training in delivery of clinical teaching in a variety of learning settings, and instructors’ official recognition, including opportunities for career progression. Potential strategies to improve clinical teaching in different teaching settings would vary with the learning settings. For example, in traditional academic settings, case-based learning with incorporation of simulation models is one proposed strategy. The involvement of learners in ‘teach-others’ is a strategy for both traditional academic and clinical settings. Finally, clearly addressing Day One competencies is required in any clinical teaching setting.

Foreign Language Acquisition Anxiety and Project-Based Learning in Collaborative L2 Instruction: A Case Study

This article discusses the experiences of an instructor-student collaboration in combining English as a Second Language instruction with a project-based model. It provides information about a year-long period of instruction that made use of extensive collaboration in language instruction for the creation of business documents geared to a specific purpose. The article suggests that such a project-based and collaborative approach to Foreign Language Learning might be useful in alleviating foreign language learning anxiety for advanced speakers of a second language. Additionally, the article discusses instruction performed via the Zoom platform. The use of platforms such as Zoom, or Skype, are becoming more ubiquitous as an instructional trend that pre-dates recent public health concerns, and this technology is discussed here in terms of the opportunities for collaborative learning and feedback it offers in a discipline that is still favors traditional face-to-face instruction. Although the experiences described here occurred in a non-academic setting with an instructor-student dyad, we suggest that it may be useful in academic settings with additional students and fewer collaborative opportunities to create highly specific objectives.

Learning in the Face of Digital Distractions

Digital distractions are an important and prevalent aspect of college students' lives. Using a self-regulated learning perspective, this chapter provides an in-depth understanding of students' digital distractions in academic settings and highlights how college instructors can empower their students to manage digital distractions and self-regulate their own learning. In particular, the chapter discusses both the causes and consequences of engaging in digital distractions with a focus on the impact of multitasking. In addition, the chapter argues that students' engagement in digital distractions is closely connected to their motivation and emotions. This chapter highlights how college students can regulate their digital distractions throughout the learning process during each phase of self-regulated learning. Finally, the chapter reviews the ways college instructors can support students' management of distractions through their instructional approaches.

Investigating the work–life experiences of nursing faculty in Canadian academic settings and the factors that influence their retention: protocol for a mixed-method study

IntroductionWhile all research-oriented faculty face the pressures of academia, female faculty in fields including science, engineering, medicine and nursing, are especially susceptible to burnout. Nursing is unique in that it remains a predominantly female-dominated profession, which implies that there is a critical mass of females who are disproportionately affected and/or at higher risk of burnout. To date, little is known about the experiences of nursing faculty especially, new and early career researchers and the factors that influence their retention. This study aims to understand the work–life (the intersection of work with personal life) experiences of nursing faculty in Canadian academic settings and the factors that influence their retention.Methods and analysisA mixed-method design will be used in this study. For the quantitative study, a sample of approximately 1500 new and early career nursing faculty across Canadian academic institutions will be surveyed. Eligible participants will be invited to complete a web-based structured questionnaire in both French and English language. Data will be evaluated using generalised linear regression model and structural equation modelling. Given the complexities of work–life issues in Canada, qualitative focus group interviews with about 20–25 participants will also be conducted. Emerging themes will be integrated with the survey findings and used to enrich the interpretation of the quantitative data.Ethics and disseminationThis study has received ethical approval from the Hamilton Integrated Research Ethics Board (#1477). Prior to obtaining informed consent, participants will be provided with information about study risks and benefits and strategies undertaken to ensure confidentiality and anonymity. The study findings will be disseminated to academics and non-academic stakeholders through national and international conference presentations and peer-reviewed open-access journals. A user-friendly report will be shared with professional nursing associations such as the Canadian Associations of Schools of Nursing, and through public electronic forums (e.g., Twitter). Evidence from this study will also be shared with stakeholders including senior academic leaders and health practitioners, government, and health service policy-makers, to raise the profile of discourses on the nursing workforce shortages; and women’s work–life balance, a public policy issue often overlooked at the national level. Such discussion is especially pertinent in light of the disproportionate impact of COVID-19 on women, and female academics. The findings will be used to inform policy options for improving nursing faculty retention in Canada and globally.

The AEQ-S: A short version of the Achievement Emotions Questionnaire

The Achievement Emotions Questionnaire (AEQ) is a well-established instrument for measuring achievement emotions in educational research and beyond. Its popularity rests on the coverage of the component structure of various achievement emotions across different academic settings. However, this broad conceptual scope requires the administration of 6 to 12 items per scale (Mdn = 10), which limits the applicability of the AEQ in empirical studies that necessitate brief administration times. We therefore developed the AEQ-S, a short version of the AEQ, with only 4 items per scale that nevertheless maintain the conceptual scope of the instrument. We validated the AEQ-S based on a reanalysis of Pekrun, Goetz, Frenzel, Barchfeld, and Perry's (2011) dataset (N = 389 university students) and by administering them to a new and independent validation sample (N = 471 university students). Despite their brevity, the AEQ-S scales achieved satisfactory reliability and correlated substantially with the original AEQ scales. Moreover, structural relationships and intercorrelations between the scales and their relations with external measures of antecedents and outcomes of achievement emotions were highly similar for the AEQ-S and AEQ scales. These findings suggest that the AEQ-S is a suitable substitute for the AEQ when administration time is limited.

Developing a Model for the University Course Timetabling Problem: A Case Study

Over recent years, timetable programming in academic settings has become particularly challenging due to such factors as the growing number of students, the variety of lectures, the inadequacy of educational facilities in some areas, and the incorporation of teachers and students’ preferences into the schedule. Many researchers, therefore, have been formulating the problem of timetabling lectures using different methods. In this research, a multiobjective mixed-integer programming model was developed to provide a timetable for the postgraduate courses at the Industrial Engineering Department of Islamic Azad University, Najafabad Branch (IAUN). The proposed model minimized the violation of the lecturers and educational priorities, the student travel time between classes, and the classes’ surplus capacity. To convert the multiobjective model into a single one, the ε-constraint method was adopted, and the model’s accuracy and feasibility were examined through a real example solved by the CPLEX solver of GAMS software. The results approved the efficiency of this model in preparing a timetable for university lectures.

Machine Learning-Based Lie Detector Applied to a Novel Annotated Game Dataset

Lie detection is considered a concern for everyone in their day-to-day life, given its impact on human interactions. Thus, people normally pay attention to both what their interlocutors are saying and to their visual appearance, including the face, to find any signs that indicate whether or not the person is telling the truth. While automatic lie detection may help us to understand these lying characteristics, current systems are still fairly limited, partly due to lack of adequate datasets to evaluate their performance in realistic scenarios. In this work, we collect an annotated dataset of facial images, comprising both 2D and 3D information of several participants during a card game that encourages players to lie. Using our collected dataset, we evaluate several types of machine learning-based lie detectors in terms of their generalization, in person-specific and cross-application experiments. We first extract both handcrafted and deep learning-based features as relevant visual inputs, then pass them into multiple types of classifier to predict respective lie/non-lie labels. Subsequently, we use several metrics to judge the models’ accuracy based on the models predictions and ground truth. In our experiment, we show that models based on deep learning achieve the highest accuracy, reaching up to 57% for the generalization task and 63% when applied to detect the lie to a single participant. We further highlight the limitation of the deep learning-based lie detector when dealing with cross-application lie detection tasks. Finally, this analysis along the proposed datasets would potentially be useful not only from the perspective of computational systems perspective (e.g., improving current automatic lie prediction accuracy), but also for other relevant application fields, such as health practitioners in general medical counselings, education in academic settings or finance in the banking sector, where close inspections and understandings of the actual intentions of individuals can be very important.

Ethnography, Tactical Responsivity and Political Utility

In this article, we address issues of attribution, utility, and accountability in ethnographic research. We examine the two main analytical approaches that have structured the debate on data collection and theorization in ethnography over the last five decades: an inductivist approach, with grounded theory as its main analytic strategy; and a deductivist stance, which uses field sites to explore empirical anomalies that enable an ethnographer to test and build upon pre-existing theories. We engage recent reformulations of this classical debate, with a specific focus on abductive and reflexive approaches in ethnography, and then weigh into these debates, ourselves. drawing on our own experiences producing and using research in non-academic settings. In so doing, we highlight the importance of strategy and accountability in one’s ethnographic practices and accounts, advocating for an approach to ethnographic research that is reflexive and overtly responsive to the knowledge needs and change goals articulated by non-academic collaborators. Ultimately, we argue for a research stance that we describe as tactical responsivity, whereby researchers work with key collaborators and stakeholders to identify the strategic aims and audiences for their research, and develop ethnographic, analytic, and communicative practices that enable them to generate and mobilize the knowledge required to actualize their shared aims.

Towards a Thorough Framework in Strategic Reading Comprehension Instruction

Reading comprehension skill is widely used in EFL settings. English language learners, especially, in academic settings, are provided with a high level of literacy and comprehension of texts, where they are provided with a considerable portion of knowledge fused into written documents. Therefore, the skill of processing texts efficiently with sufficient comprehension gains significance in students’ academic accomplishments. Nevertheless, the concept of reading as a general term and strategic reading as an enabling skill should be differentiated in reading comprehension instruction. Providing students with written texts without Empowering them to deal with the texts cannot yield fruitful results in designated goals of reading comprehension. In view of that, the present research tried to introduce strategic reading as a holistic concept and endeavored to enlighten each aspect of it using reading models and frameworks presented in the related literature on reading comprehension. Instructors, with the awareness of strategic reading as an important reading skill, can determinedly instruct and implement it in their classrooms to enable students resourcefully for their educational goals which eventually leads to academic and professional achievements.