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 in the 21st century face unprecedented levels of stress, which has led to a global and deleterious impact on their mental health. The mental health of college students is widely considered to be a public health crisis according to the World Health Organization (WHO), and universities are challenged to provide adequate resources…

This study examined the effects of worked examples with different explanation types and novices' motivation on cognitive load, and how this subsequently influenced their programming problem-solving performance. Given the study's emphasis on both instructional approaches and learner motivation, the Cognitive Theory of Multimedia Learning served as…

MDRC's Scaling Up College Completion Efforts for Student Success (SUCCESS) project seeks to improve graduation rates for traditionally underserved students at two- and four-year colleges. SUCCESS integrates components from multiple programs that have proved to be effective at helping students accomplish their goals. The components include…

Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…

This paper examines a communication model based on six theoretical facets. Each facet was operationalised according to two aspects of Habermas' theory of communicative action: strategic and understanding-oriented action. The aim of the empirical analyses was to ascertain whether the postulated model could be used to measure different levels of…

The paper investigates the intellectual traditions that underscore the assumptions of academic and carrier advising, toward an understanding of what it means to advise college students and the pedagogical ramifications of this understanding. The discussion articulates the driving forces that stand behind a university model that goes beyond course…

The purpose of this study was to develop and test the psychometric properties of the "3 x 2 Achievement Goal Questionnaire for Music Performance" ("3 x 2 AGQ - MP") and to determine the extent to which the 3 x 2 achievement goal model fits to two contexts of university band performance. Results from a pilot study informed…

Achievement motivation evolved fast in the educational field. In this development, the trichotomous and the 2X2 models received myriad attention from the educational specialist. However, there is a debate about which is better between the two models. This study aimed to intercede this debate and argue that the study's duration should be accounted…

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…

Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if…

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…

Formal leadership development programs enhance what students learn in the classroom by giving them powerful tools for personal and professional success. They are also a differentiator for many institutions. They help schools attract more high-ability students, distinguish themselves from peer institutions, and increase the value of a student's…

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…