The Inequality Mirror: Using a Student Survey to Teach Social Stratification

Social inequality is a central theme in sociology study plans (both in research and education), but it is often one of the most difficult topics to teach. This article presents an innovative student-centered strategy for teaching social inequality that uses a survey to collect data on students’ socioeconomic characteristics and perceptions of inequality. To stimulate reflection and discussion on the social mechanisms that reproduce inequality, this information is subsequently presented to them in conjunction with a comparative analysis to general population data. The exercise seeks to make social inequality less abstract for students by involving them in the research process and by using data relative to their own lives and families. Ultimately, the strategy boosts students’ sociological imagination and their capacity for critical thinking by encouraging them to see the connections between individual biographies and broader social forces.

Examining Elementary School Children’s Knowledge about Food and Nutrition in Southwestern Ontario, Canada

Purpose: Knowledge is fundamental to helping children make nutritional choices that support lifelong healthy behaviours. This study (i) investigates elementary school children’s knowledge about food and nutrition and (ii) identifies sociodemographic factors influencing children’s reported knowledge. Methods: In 2017–2019, a survey was administered to 2443 students (grades 5–8) at 60 schools across southwestern Ontario, Canada, and a parent survey was used to validate self-reported sociodemographics. Multiple regression was used to analyse children’s knowledge scores and related sociodemographic factors. A total knowledge score was calculated by summing correct responses derived from 46 individual questions in the student survey. Results: Mean total knowledge score was 29.2 out of a possible 46 points (63.5% correct). Students demonstrated some knowledge and awareness of strategies to encourage fruit and vegetable consumption, healthy food selection, nutrition, and food preparation skills, although knowledge of food guide recommendations and locally sourced produce were limited. Female sex, family income, and rurality were associated with higher knowledge scores. Conclusions: Results provide insight regarding strengths and gaps in elementary-school children’s food and nutrition knowledge. Poor performance of students on specific food guide-related questions suggests that the general guidance of the 2019 Canada’s Food Guide might be better understood by children and adolescents.

Leveraging AI and Machine Learning for National Student Survey: Actionable Insights from Textual Feedback to Enhance Quality of Teaching and Learning in UK’s Higher Education

Students’ evaluation of teaching, for instance, through feedback surveys, constitutes an integral mechanism for quality assurance and enhancement of teaching and learning in higher education. These surveys usually comprise both the Likert scale and free-text responses. Since the discrete Likert scale responses are easy to analyze, they feature more prominently in survey analyses. However, the free-text responses often contain richer, detailed, and nuanced information with actionable insights. Mining these insights is more challenging, as it requires a higher degree of processing by human experts, making the process time-consuming and resource intensive. Consequently, the free-text analyses are often restricted in scale, scope, and impact. To address these issues, we propose a novel automated analysis framework for extracting actionable information from free-text responses to open-ended questions in student feedback questionnaires. By leveraging state-of-the-art supervised machine learning techniques and unsupervised clustering methods, we implemented our framework as a case study to analyze a large-scale dataset of 4400 open-ended responses to the National Student Survey (NSS) at a UK university. These analyses then led to the identification, design, implementation, and evaluation of a series of teaching and learning interventions over a two-year period. The highly encouraging results demonstrate our approach’s validity and broad (national and international) application potential—covering tertiary education, commercial training, and apprenticeship programs, etc., where textual feedback is collected to enhance the quality of teaching and learning.

An Evidence-Based Study on Teaching Computer Aided Design in Higher Education during the COVID-19 Pandemic

The pandemic has had a major effect on engineering education, transforming both current and future teaching practice. The physical meetings between student and teacher have during the pandemic been replaced by online contact and recordings of lectures and demonstrations. In this paper, the focus is on computer aided design (CAD) teaching for first-year engineering students. CAD is a topic usually characterized by a close contact by student and teacher, with hands-on instruction at the computer using the CAD software. In the paper, the experiences and learnings from the rapid shift to on-line teaching in CAD are summarized and discussed, and learnings and takeaways for a redesign of future CAD teaching are discussed. Both the students’ learning and their mental wellbeing are evaluated. It is found that on a general level, the students were satisfied with the online teaching and rated it as better or equal to traditional teaching. However, there is still room for improvement, since some students found the situation stressful and pointed out the difficulty to ask questions online. The findings are based on a student survey, existing literature, and the authors own teaching practices during the pandemic.

Understanding the National Student Satisfaction Survey in Light of Intellectual Capital Framework

The study aims to examine whether an online national student survey can contribute to the understanding of intellectual capital in higher education institutions. The study adopts a performance management and measurement perspective towards NSS and applies the lens of intellectual capital measurement theory which distinguishes between human, relational, and structural capitals. By adopting a conceptual and explorative research approach, the study is based on an intensive analysis of document sources related to the Norwegian online national student survey – Study Barometer. The results suggest that the Norwegian national student survey reflects certain categories of the intellectual capital framework – including those categories that are of interest to university stakeholders. However, the scope of the intellectual capital categories in the survey is limited to a few certain items. The study concludes that national online student survey can be used as a performance measurement tool and assist our understanding of the IC in HEIs – even though to a limited degree.

Efficacy of Video-Based Forearm Anatomy Model Instruction for a Virtual Education Environment

INTRODUCTION As virtual education becomes more widespread, particularly considering the recent COVID-19 pandemic, studies that assess the impact of online teaching strategies are vital. Current anatomy curriculum at Paul L. Foster School of Medicine consists of self-taught PowerPoint material, clinical vignette-centered team-based learning (dry lab), and prosection-based instruction (wet lab). This study examined the impact of video-based muscle model (VBMM) instruction using a student-designed forearm muscle model on anatomy quiz scores and student perceptions of its effectiveness with regards to learning outcomes. METHODS Students divided into Group 1 (54 students) and Group 2 (53 students) were assessed prior to and following a 3.5-minute video on anterior forearm compartment musculature using the muscle model. Group 1 began by completing a pretest, then received VBMM instruction, and then completed a posttest prior to participating in the standard dry lab and 1 hour wet lab. Group 2 completed the wet lab, then received the pretest, VBMM instruction, and posttest prior to participating in the dry lab. Both groups took an identical five-question quiz covering locations and functions of various anterior forearm muscles each time. RESULTS Mean scores were higher than no formal intervention with exposure to VBMM instruction alone (0.73 points, P = .01), wet lab alone (0.88 points, P = .002), and wet lab plus VBMM instruction (1.35 points, P= <.001). No significant difference in scores was found between instruction with VBMM versus wet lab alone ( P = 1.00), or between either instruction method alone compared to a combination of the two methods ( P = .34, .09). Student survey opinions on the VBMM instruction method were positive. CONCLUSION VBMM instruction is comparable to prosection-based lab with regards to score outcomes and was well received by students as both an independent learning tool and as a supplement to cadaveric lab. When compared to either instruction method alone, the supplementation of VBMM with cadaveric prosection instruction was best. VBMM instruction may be valuable for institutions without access to cadaveric specimens, or those looking to supplement their current anatomy curriculum.

Using Screen-Capture Technology to Authenticate IT Online Learning and Assessment

Assessment has always been fundamental to teaching as it aims to gauge the impact of the teaching on students learning. The current assessment in teaching computer literacy is objective assessment that focuses on making it intentional, informative, and formalized. Although this assessment is the best way when assessing large groups of students at one limited time, it has a drawback of being limited to check the knowledge of understanding terminology and recalling steps of a particular process. This study introduces a screen-capture technology based approach to performative and authentic assessment. It involved design and implementation of screen-capture assignments to assess computer maintenance skills. The sample consisted of 28 students enrolled in computer hardware and software maintenance classes. Data from students was collected through a multi-modal student survey and a semi-structured interview. The results analysis has indicated that screen-capture performative assessment promotes students’ engagement and learning level of solving real-world problems.

Teaching Model-Driven Engineering in a Master's Program

Model-driven engineering (MDE) is an approach to software engineering that adopts models as the central artefact. Although the approach is promising in addressing major issues in software development, particularly in dealing with software complexity, and there are several success cases in the industry as well as growing interest in the research community, it seems that it has been hard to generalize its gains among software professionals. To address this issue, MDE must be taught at a higher-education level. This chapter presents a three-year experience in teaching MDE in a course of a master program in informatics engineering. The chapter provides details on how a project-based learning approach was adopted and evolved along three editions of the course. Results of a student survey are discussed and compared to those from another course. In addition, several other similar teaching experiences are analyzed.

Experiences of the e-learning environment of students at the University of Danang - University of Foreign Language Studies

E-learning is being widely deployed and gradually becoming a popular form of teaching in universities today. To achieve the quality of e-learning teaching requires the impact of many factors, in which the e-learning environment of students is important. This paper explored experiences on e-learning environment of students of The University of Danang - University of Foreign Language Studies (UD-UFLS) to improve e-learning environment of the university's students. The study refered to most students’ awareness of the importance of e-learning at university. The advantages and disadvantages of e-learning at the university (UD-UFLS) have also been identified. Through the results of the student survey, the content of the teacher's skills, the content of policies and management of e-learning activities, facilities and funding for e-learning implementation, class size, and student e-learning culture in e-learning are rated. The results of a questionnaire survey of 407 students of the UD-UFLS show a picture of students' e-learning environment and are the basis for proposing some measures to improve e-learning environment of the university's students.

Reliability and validity study of the Thai adaptation of the Copenhagen Burnout Inventory-Student Survey (CBI-SS) among preclinical medical students at the Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand

Burnout syndrome is a syndrome of emotional exhaustion, professional efficacy and cynicism. A significant proportion of medical students reported having burnout syndrome during their training in medical education. Several tools including the Copenhagen Burnout Inventory-Student Survey (CBI-SS) are considered to be a valid measurement of burnout syndrome in medical students. This study aimed to translate, culturally adapt, and validate the CBI-SS for assessing burnout syndrome among preclinical medical students in Thailand. This study was conducted during February to March 2019 at the Faculty of Medicine Siriraj Hospital, Mahidol University (Bangkok, Thailand), which is Thailand’s largest and oldest medical school, and Thailand’s largest national tertiary referral center. After receiving formal permission to do so from the copyright owner, the original English language version of the CBI-SS was translated to Thai language using an internationally recommended and accepted forward-backward translation protocol. The Thai version of the CBI-SS (Thai CBI-SS) comprises 25 items, including 6 items for personal burnout, 7 items for study-related burnout, 6 items for colleague-related burnout, and 6 items for teacher-related burnout. Standardized Cronbach’s alpha coefficient was calculated to evaluate internal consistency reliability, and correlation coefficient was computed to determine test-retest reliability. A total of 414 preclinical medical students participated in this study. Due to sub-optimal factor weights (<0.50), items 6, 10 and 17 were excluded. The Cronbach’s alpha coefficients of the 22-item Thai CBI-SS for personal, study-related, colleague-related, and teacher-related burnout were 0.898, 0.896, 0.910 and 0.900 respectively. The correlation coefficients for test-retest reliability after three weeks were 0.820, 0.870, 0.821, and 0.787 for personal, study-related, colleague-related, and teacher-related burnout, respectively. Maximum likelihood analysis with oblimin rotation indicated four main components, and confirmatory factor analysis revealed good fit indices of the Thai CBI-SS. Confirmatory factor analysis showed good fit indices of CBI-SS domains (χ2/df = 2.39; CFI = 0.957; GFI = 0.909; RMSEA = 0.058; TLI = 0.949; and NFI = 0.928). The convergent validity analysis using the Average Variance Extracted (AVE) and the Composite Reliability (CR) was adequate for all dimensions (personal: AVE = 0.626, CR = 0.893; study-related: AVE = 0.601, CR = 0.899; colleague-related: AVE = 0.677, CR = 0.913; teacher-related: AVE = 0.606, CR = 0.900). The HTMT values for all variables are in the range from 0.315 to 0.833, confirming the discriminant validity. The Thai CBI-SS was found to be a valid and reliable tool for evaluating burnout syndrome in preclinical medical students in Thailand.