Written comments in student evaluations of teaching offer a rich source of data for understanding instructors' teaching and students' learning experiences. However, most previous studies on student evaluations of teaching have focused on numeric ratings of close-ended questions, while few studies have tried to analyze the content of students'…

In this study, we introduced a cross-classified multidimensional nominal response model (CC-MNRM) to account for various response styles (RS) in the presence of cross-classified data. The proposed model allows slopes to vary across items and can explore impacts of observed covariates on latent constructs. We applied a recently developed variant of…

College students complete end-of-term surveys during their undergraduate education to report on their experiences of curriculum, faculty, and overall course satisfaction. Significant decisions are based on these surveys' results, despite limited and potentially unrepresentative results. Low student response rates on digital, electronic course…

This article describes a one semester Professional Development for Teaching (PDT) seminar designed for mathematics Graduate Teaching Assistants (GTAs) that focuses on the implementation of active-learning techniques. The PDT seminar models active-learning strategies so GTAs have experiences to draw on when teaching undergraduate classes. A…

Kotter's (1996. "Leading Change." Boston, MA: Harvard Business School Press) model is one of the most frequently cited guides for implementing planned organizational change. While this model is widely used across many industries and contexts, including higher education, there are few research studies and cases that provide in-depth…

With the rapid development of internet technology, the importance of data in various industries has become increasingly prominent. However, in the field of domestic education, especially the research on teaching quality evaluation is relatively sparse. This paper aims to build an evaluation model of physical education teaching quality with big…

The MUSIC (eMpowerment, Usefulness, Success, Interest, Caring) Model of Academic motivation was developed to help instructors promote student motivation in the classroom. This study examines relationships among student perceptions of motivation and effort compared with their performance in undergraduate business analytics courses. Specifically,…

Professors create a positive learning environment for students through their interpersonal behaviour style in the classroom. High quality interpersonal interactions are associated with a number of positive student outcomes such as increased motivation, effort, learning, satisfaction, and higher ratings on formal student evaluations of teaching…

Graduate teaching assistants (TAs) are often responsible for teaching introductory courses to undergraduate science, technology, engineering, and mathematics students. The TAs are usually novices at teaching, and an important factor in their resilience and persistence in the face of inevitable challenges is self-efficacy. Little is known about…

Educators within post-secondary institutions receive input in the form of course evaluations from their students. The aim of receiving student input is to improve the teaching and learning experience for all. There are, however, inherent problems with the current methods of obtaining students' views through course evaluations. In this pilot study,…

Sustainable lecturer performance mapping needed a valid evaluation model. The absence of such a model brings about lecturer performance evaluation which was neither systematic nor sustainable. The study aimed to develop a valid and reliable model of lecturer performance evaluation. This research was a development research model. The model…

Sentiment Analysis is a field of Natural Language Processing which aims at classifying the author's sentiment in text. This paper first describes a sentiment analysis model for students' comments about professor performance. The model achieved impressive results for comments collected from student surveys conducted at a private university in…

Quantitative student evaluations of teaching (SET) and assessments are widely used in higher education as a proxy for teaching quality. However, SET are a function of individual rating behaviours resulting from student background, knowledge and personalities, as well as the learning experience being rated. SET from three years of data from a…

This article presents the first-ever big data study of the student evaluation of teaching (SET) using artificial intelligence (AI). We train natural language processing (NLP) models on 1.6 million student evaluations from the US and the UK. We address two research questions: (1) are these models able to predict student ratings from the student…

In some institutions of higher learning, one of the approaches to successful governance is through student assessment of teachers, dubbed Student Assessment of Faculty or Student Evaluation of Teaching and extensively used in the United States of America (USA). In schools and colleges, the usual largest bloc and primary stakeholders are the…