Connecting Teacher-Made Assessments to Course Learning Outcomes Through Learning Analytics

2019 ◽  
pp. 101-125
Author(s):  
Julia Chen ◽  
Dennis Foung
Keyword(s):  
Learning Outcomes ◽  
Learning Analytics ◽  
Structural Equation ◽  
Data Driven ◽  
Equation Modeling ◽  
Curriculum Alignment ◽  
Outcome Based Education ◽  
Data Driven Approach ◽  
The Subject

This chapter explores the possibility of adopting a data-driven approach to connecting teacher-made assessments with course learning outcomes. The authors begin by describing several key concepts, such as outcome-based education, curriculum alignment, and teacher-made assessments. Then, the context of the research site and the subject in question are described and the use of structural equation modeling (SEM) in this curriculum alignment study is explained. After that, the results of these SEM analyses are presented, and the various models derived from the analyses are discussed. In particular, the authors highlight how a data-driven curriculum model can benefit from input by curriculum leaders and how SEM provides insights into course development and enhancement. The chapter concludes with recommendations for curriculum leaders and front-line teachers to improve the quality of teacher-made assessments.

The impact of job content on employability and job performance in public organizations

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Izabela Marzec ◽  
Agata Austen ◽  
Aldona Frączkiewicz-Wronka ◽  
Bogna Zacny
Keyword(s):  
Job Performance ◽  
Structural Equation ◽  
Public Organizations ◽  
Work Outcomes ◽  
Equation Modeling ◽  
Content Type ◽  
The Subject ◽  
Job Content ◽  
The Impact

PurposeThe increased expectations regarding job performance accompanied by changes in employment relationships in public organizations require special concern for the employability enhancement of their workers. Literature on the subject points out the importance of job content in the context of employability enhancement. The purpose of this paper is to answer the following question: what are the relationships between job variety, the learning value of the job, employability and job performance?Design/methodology/approachThe paper presents the results of a survey which was carried out in 2016. The sample consisted of 566 pairs, i.e. employees and their immediate supervisors in 147 public organizations which provide key public services in Poland. A model of the relationships between job variety, the learning value of the job, employability and job performance was proposed and tested using path analysis and structural equation modeling (SEM).FindingsIt was found that both job variety and the learning value of the job were positively connected to employability, which mediated their relationships with job performance. However, the analysis revealed that the examined predictors not only affected employee work outcomes indirectly, through their impact on employability, but also directly influenced the quality of job performance.Originality/valueThe study has provided empirical evidence regarding the relationships between job content, employability and job performance, which was hitherto absent from public organizations. An original conclusion from the research is that employability enhancement brings positive results for both employees and organizations.

A Psychometric Study of the Quality Perception Questionnaire

2012 ◽  
Vol 71 (2) ◽  
pp. 101-106 ◽  
Author(s):  
Raffaele Cioffi† ◽  
Anna Coluccia ◽  
Fabio Ferretti ◽  
Francesca Lorini ◽  
Aristide Saggino ◽  
...  
Keyword(s):  
Structural Equation ◽  
Factor Model ◽  
Equation Modeling ◽  
Fit Indices ◽  
Quality Perception ◽  
Italian Survey ◽  
Confirmatory Factor ◽  
Instrument Measuring ◽  
Hospital Structures

The present paper reexamines the psychometric properties of the Quality Perception Questionnaire (QPQ), an Italian survey instrument measuring patients’ perceptions of the quality of a recent hospital admission experience, in a sample of 4400 patients (Mage = 56.42 years; SD = 19.71 years, 48.8% females). The 14-item survey measures four factors: satisfaction with medical doctors, nursing staff, auxiliary staff, and hospital structures. First, we tested two models using a confirmatory factor analysis (structural equation modeling): a four orthogonal factor and a four oblique factor model. The SEM fit indices and the χ² difference suggested the acceptance of the second model. We then did a simulation using a bootstrap with 1000 replications. Results confirmed the four oblique factor solution. Third, we tested whether there were significant differences with respect to age or sex. The multivariate general linear model showed no significant differences in the factors with respect to sex or age.

scholarly journals Community Living, Intellectual Disability and Extensive Support Needs: A Rights-Based Approach to Assessment and Intervention

2021 ◽  
Vol 18 (6) ◽  
pp. 3175
Author(s):  
Laura Esteban ◽  
Patricia Navas ◽  
Miguel Ángel Verdugo ◽  
Víctor B. Arias
Keyword(s):  
Intellectual Disability ◽  
Independent Living ◽  
Structural Equation ◽  
Equation Modeling ◽  
Community Living ◽  
Support Needs ◽  
Related Services ◽  
The Right To Privacy ◽  
The Right

People with intellectual disability (ID) and extensive support needs experience poorer quality of life than their peers whose disability is not as severe. Many of them live in residential settings that limit community participation and prevent them from exercising control over their lives. This work analyzes the extent to which professional practices are aimed at promoting the right to community living for people with ID and extensive support needs, as well as the rights that are particularly linked to it, such as the right to habilitation and rehabilitation and the right to privacy. A specific questionnaire was designed and administered to 729 adults with intellectual disability (M = 37.05; DT = 12.79) living in different settings (family home, residential facilities and group homes). Measurement and structural models were estimated using exploratory structural equation modeling. Results obtained reveal that people with extensive support needs receive less support in terms of guaranteeing their right to independent living and privacy, especially when they live in disability-related services. This study highlights the need to implement and monitor, using valid and reliable indicators, mesosystem strategies that guarantee the right to live and participate in the community, especially for individuals with ID and extensive support needs.

The Impact of Self-Stigma, Role Strain, and Diabetes Distress on Quality of Life and Glycemic Control in Women With Diabetes: A 6-Month Prospective Study

2021 ◽  
pp. 109980042110096
Author(s):  
Ruey-Hsia Wang ◽  
Chia-Chin Lin ◽  
Shi-Yu Chen ◽  
Hui-Chun Hsu ◽  
Chiu-Ling Huang
Keyword(s):  
Quality Of Life ◽  
Glycemic Control ◽  
Prospective Study ◽  
Structural Equation ◽  
Role Strain ◽  
Diabetes Distress ◽  
Equation Modeling ◽  
Disease Characteristics ◽  
The Impact

Purposes: Women with diabetes (WD) are more severely impacted by the consequence of suboptimal diabetes control. This study aims to examine the impact of demographic and disease characteristics, baseline self-stigma, role strain, diabetes distress on Hemoglobin A1C (A1C) levels, quality of life (D-QoL) and 6-month A1C levels in younger WD. Methods: This study was a 6-month prospective study. In total, 193 WD aged 20–64 years were selected by convenience sampling from three outpatient clinics in Taiwan. Demographic and disease characteristics, self-stigma, role strain, diabetes distress, A1C levels, and D-QoL were collected at baseline. A1C levels were further collected 6 months later. Structural equation modeling was conducted to test the hypothesized model. Results: The final model supported that higher baseline D-QoL directly associated with lower concurrent A1C levels and indirectly associated with lower 6-month A1C levels through baseline A1C levels. Higher baseline self-stigma, role strain, and diabetes distress directly associated with lower baseline D-QoL, and indirectly associated with higher 6-month A1C levels through D-QoL. Conclusion: Improving self-stigma, role strain, and diabetes distress should be considered as promising strategies to improve D-QoL in young WD. D-QoL plays a mediation role between baseline self-stigma, role strain, diabetes distress and subsequent glycemic control in younger WD. Enhancing baseline D-QoL is fundamental to improve subsequent glycemic control.

scholarly journals University Students’ Self-Rated Health in Relation to Perceived Acoustic Environment during the COVID-19 Home Quarantine

2021 ◽  
Vol 18 (5) ◽  
pp. 2538
Author(s):  
Angel M. Dzhambov ◽  
Peter Lercher ◽  
Drozdstoy Stoyanov ◽  
Nadezhda Petrova ◽  
Stoyan Novakov ◽  
...  
Keyword(s):  
Online Education ◽  
University Students ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Single Item ◽  
Acoustic Environment ◽  
Self Rated Health ◽  
Human And Nature

Background: Online education became mandatory for many students during the Coronavirus disease 2019 (COVID-19) pandemic and blurred the distinction between settings where processes of stress and restoration used to take place. The lockdown also likely changed perceptions of the indoor acoustic environment (i.e., soundscape) and raised its importance. In the present study, we seek to understand how indoor soundscape related to university students’ self-rated health in Bulgaria around the time that the country was under a state of emergency declaration caused by the COVID-19 pandemic. Methods: Between 17 May and 10 June 2020, we conducted a cross-sectional online survey among 323 students (median age 21 years; 31% male) from two universities in the city of Plovdiv, Bulgaria. Self-rated health (SRH) was measured with a single-item. Participants were asked how frequently they heard different types of sounds while at home and how pleasant they considered each of those sounds to be. Restorative quality of the home (the “being away” dimension of the Perceived Restorativeness Scale) was measured with a single-item. A priori confounders and effect modifiers included sociodemographics, house-related characteristics, general sensitivity to environmental influences, and mental health. Our analysis strategy involved sequential exploratory factor analysis (EFA), multivariate linear and ordinal regressions, effect modification tests, and structural equation modeling (SEM). Results: EFA supported grouping perceived sounds into three distinct factors—mechanical, human, and nature sounds. Regression analyses revealed that greater exposure to mechanical sounds was consistently associated with worse SRH, whereas no significant associations were found for human and nature sounds. In SEM, exposure to mechanical sounds related to lower restorative quality of the home, and then to poorer SRH, whereas nature sounds correlated with higher restorative quality, and in turn with better SRH. Conclusions: These findings suggest a role of positive indoor soundscape and restorative quality for promoting self-rated health in times of social distancing.

scholarly journals Key Determinants of Airline Loyalty Modeling in Thailand

2020 ◽  
Vol 12 (10) ◽  
pp. 4165 ◽  
Author(s):  
Dissakoon Chonsalasin ◽  
Sajjakaj Jomnonkwao ◽  
Vatanavongs Ratanavaraha
Keyword(s):  
Airline Industry ◽  
Structural Equation ◽  
Statistical Significance ◽  
Perceived Quality ◽  
Equation Modeling ◽  
Structural Factors ◽  
Proposed Model ◽  
Airline Passengers ◽  
Domestic Airline

The airline industry in Thailand has grown enormously over the past decade. Competition among airline companies to reach market share and profit has been intense, requiring strong strategic abilities. To increase the service quality of such companies, identifying factors related to the context of airlines is important for policymakers. Thus, this study aims to present empirical data on structural factors related to the loyalty of domestic airline passengers. Structural equation modeling was used to confirm the proposed model. The questionnaire was used to survey and collect data from 1600 airline passengers. The results indicate that satisfaction, trust, perceived quality, relationship, and image of airlines positively influenced loyalty with a statistical significance of α = 0.05. Moreover, the study found that expectation and perceived quality indirectly influenced loyalty. The findings provide a reference for airline operators to clearly understand the factors that motivate passenger loyalty, which can be used to develop the sustainability of marketing strategies and support competitiveness.

Sign in / Sign up

Export Citation Format

Share Document