Our aim in this paper is to improve the efficiency of a learning process by using learners' traces to detect particular needs. The analysis of the semantic path of a learner or group of learners during the learning process can allow detecting those students who are in needs of help as well as identify the insufficiently mastered concepts. We…

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 an immersive virtual reality (IVR) environment, this study investigated: (1) the role of learner characteristics in various learning and psychological outcomes, including knowledge retention, perceived learning, cognitive load, self-efficacy, enjoyment, presence, and usefulness; and (2) the relationship among these intended outcomes. Forty…

Can student comments help solve a problem that student ratings helped create? We argue that the comment section of student ratings of instruction (SRI) offers a rich site for studying student perspectives on teaching and learning, particularly how students define and value course and instructor difficulty. Employing rhetorically grounded…

The objective of this article is to study undergraduate student satisfaction with the educational programme in Applied Mathematics in terms of identification of areas for teaching process improvement. Currently, there are no instruments for student evaluation of teaching accepted by the teaching community in Russia, and student feedback…

Reciprocity is a potential issue in college teaching if professors benefit students in return for better student evaluation results. The reciprocity in college teaching is framed as kind intention and consequence, including teaching styles, attendance requirement, delivery mode, grading and course difficulty. This study explored whether and to…

This article delves into student course feedback using publicly available data from the University of North Texas. It examines factors influencing elevated student course evaluation ratings in the Information Technology and Decision Sciences department. The study reveals a positive relationship between higher response rates and better evaluation…

Purpose: This paper aims to investigate the relationship between student emotions, professors' performance and course ratings and difficulty. Design/methodology/approach: Natural language processing models are used to extract six basic emotions and several categories of professors' harmful performance from nearly one million student reviews…

This study assessed the relationships of student attributes, course characteristics and course outcomes to college students' ratings of course quality in three types of settings. The analysis utilised data from online surveys of samples of college students conducted in 2011 and 2012 at the Pennsylvania State University. Included in the analysis…

The onset of the COVID-19 global pandemic affected higher education in a myriad of ways. One of the most notable effects however was the rapid and sudden transition of nearly all courses at most institutions to an online environment. And while there are a growing number of courses offered online already, this transition to nearly 100% remote…

The aim of this study was to determine the opinions and suggestions of preservice Turkish language teachers about the Teaching Turkish to Foreigners (TTF) course. The research population consisted of 79 junior students studying in the Department of Turkish Education at the Kazim Karabekir Faculty of Education, Atatürk University. A case study…

Purpose: The purpose of this study is to examine student sentiments regarding high-quality vs low-quality teaching. Design/methodology/approach: This study uses a text mining technique to identify the positive and negative patterns of student sentiments from student evaluations of teaching (SET) provided on Ratemyprofessors.com. After identifying…

This report describes statistical analyses performed on data collected in the Spring of 2015 from the pilot study of proposed revised and new items in the IDEA Student Ratings of Instruction (SRI) system. Described are the methods employed, results obtained, and decisions made in selecting items for the updated instruments. The procedures occurred…

In this study the effect of Discovery Learning and course evaluation based on Bloom's Taxonomy on the academic success of undergraduate students in Northern Cyprus was investigated. One demographic questionnaire was distributed to 829 students and two questionnaires were distributed to these students' instructors in order to collect information on…

Organic Chemistry is recognized as a course that presents many difficulties and conceptual challenges for students. To combat the high failure rates and poor student attitudes associated with this challenging course, we implemented a "flipped" model for the first-semester, large-enrollment, Organic Chemistry course. In this flipped…