This qualitative case study explored the perceptions of hiring administrators in a suburban Pennsylvania school district regarding the influence of the Danielson Framework for Teaching (DFT) on the district teacher hiring practices. At the time of this study, research had shown that, out of all other factors, teachers had the largest influence on…

This note demonstrates that the widely used Bayesian Information Criterion (BIC) need not be generally viewed as a routinely dependable index for model selection when the bifactor and second-order factor models are examined as rival means for data description and explanation. To this end, we use an empirically relevant setting with…

Selecting undergraduate majors or specializations is a crucial decision for students since it considerably impacts their educational and career paths. Moreover, their decisions should match their academic background, interests, and goals to pursue their passions and discover various career paths with motivation. However, such a decision remains…

In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…

Research on charter schools tends to focus on direct and immediate effects on student outcomes. However, there may be unintended indirect effects on, for example, the teacher labor market. Charter schools tend to hire teachers with fewer traditional teaching credentials, which may reduce the equilibrium quantity of teachers who have traditional…

Nowadays, with increasing competitiveness in every field, securing a good job may be difficult. In this connection, students aiming to get into the best educational institution (EI) would give them their best chance of quality education and good job opportunities. Institutional evaluation and selection are complex tasks that must simultaneously…

Many students in the Unites States enter college without having decided on a focus for their studies, and thus are faced with choosing from a large number of potential majors and associated very complex sets of degree requirements which can include many courses in other areas of study. Academic advisors use academic planning tools to help students…

This paper explores the decision-making process of international non-EU postgraduates when choosing a qualification from a UK business school and proposes a new model which reflects the iterative, cyclical and continuous nature of the process. The degree of rigour and rationality employed in decision-making was often limited and influenced by…

In this dissertation I studied how academic librarians select e-book products, emphasizing the decision-making processes they used to make purchasing decisions. My dissertation contains two parts: (1) a meta analysis of selection models from both library and consumer research literature, and (2) interviews with e-book selection librarians. In the…

Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…

Course selection is a crucial and challenging problem that students have to face while navigating through an undergraduate degree program. The decisions they make shape their future in ways that they cannot conceive in advance. Available departmental sample degree plans are not personalized for each student, and personal discussion time with an…

Practitioners use an expansive array of instructional design models. Although many of these models acknowledge the need for analyzing occupational roles, they do not define steps for conducting these analyses. This article reviews prominent models and provides prescriptive guidance for selecting appropriate models given a project's (a) Product…

Liberal Arts programs are often characterized by their open curriculum. Yet, the abundance of courses available and the highly personalized curriculum are often overwhelming for students who must select courses relevant to their academic interests and suitable to their academic background. This paper presents the course recommender system that we…

Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…

Increasing enrollment in undergraduate and graduate economics courses that focus on the natural world (natural resource, environmental, energy, and mineral economics) is important for preparing a work force capable of addressing complex environmental issues. This is especially challenging for smaller universities that want to offer diverse…