Business schools face the dual challenge of keeping students highly engaged in courses with exceptionally broad scope, like the introduction to marketing principles, while simultaneously instructing them in the increasingly specific and technical skills that are demanded by employers. In this article, the authors describe the use of an…

Since 2010, a substantial number of large-scale, quantitative studies on preparation features associated with teaching effectiveness and retention have emerged. The purpose of this paper is to review this body of evidence and make sense of what it suggests for practitioners and policymakers. The paper begins by describing the groundbreaking work…

We introduce an approach for making a quantitative comparison of the item response curves (IRCs) of any two populations on a multiple-choice test instrument. In this study, we employ simulated and actual data. We apply our approach to a dataset of 12,187 participants on the 25-item Science Literacy Concept Inventory (SLCI), which includes ample…

Educators, including English Language Teaching practitioners, acknowledge the influence of collaborative learning on students' learning experiences, as demonstrated by numerous studies conducted in diverse contexts. This research, however, keeping instructional innovation, students' collaborative engagement, language learning and classroom…

In confirmatory factor analysis quite similar models of measurement serve the detection of the difficulty factor and the factor due to the item-position effect. The item-position effect refers to the increasing dependency among the responses to successively presented items of a test whereas the difficulty factor is ascribed to the wide range of…

Humans excel in categorization. Yet from a computational standpoint, learning a novel probabilistic classification task involves severe computational challenges. The present paper investigates one way to address these challenges: assuming class-conditional independence of features. This feature independence assumption simplifies the inference…

Development and refinement of self-report measures generally involves selecting a subset of indicators from a larger set. Despite the importance of this task, methods applied to accomplish this are often idiosyncratic and ad hoc, or based on incomplete statistical criteria. We describe a structural equation modeling (SEM)-based technique, based on…

The work of Crocco and her colleagues, "Deliberating Public Policy Issues with Adolescents," combines two important fields--deliberative democracy and discussion as a pedagogy--with a study of policy deliberations in three classrooms. Their article yields valuable insights. As the authors note, the results are disappointing. This may be…

The authors of this article describe an adaptation of the rent-seeking game by Goeree and Holt (1999) to the recruiting of athletes by NCAA Division I football and basketball teams. Students engage in an effort-based lottery, i.e., recruiting to sign a blue-chip prospect. The winner gets the prize--the player's marginal revenue product in excess…

Experiential learning, which may include hands-on learning paired with observation and reflection, has been applied in several industries; however, the impact of experiential learning in design education is not well known. We investigated how the type of simulation-based learning could affect the acquisition of knowledge and the ability to…

Offering first year seminars and experiences is well-established as one of the high-impact educational practices. An inquiry-based freshman seminar in which students conduct poverty simulation term projects has been offered for five years at the University of Georgia. The students have four project options of: dressing the part and panhandling…

Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…

Schools continue to purchase and install machines and practices from the world of communications technology. In turn, students and teachers are purported to be more "connected," and this connectivity is widely viewed as having a positive influence on teaching and learning. In this paper, however, the authors argue that not only are these…

Small samples are common in growth models due to financial and logistical difficulties of following people longitudinally. For similar reasons, longitudinal studies often contain missing data. Though full information maximum likelihood (FIML) is popular to accommodate missing data, the limited number of studies in this area have found that FIML…

Classroom innovation can involve finding unique ways to present material to students. Engaging students with the material will support their understanding of the broader implications of what they learn and how it relates to their lives.