The Energy and Momentum Conceptual Survey (EMCS) is a multiple-choice survey that contains conceptual problems involving a variety of energy and momentum concepts covered in a typical introductory physics course for science and engineering majors. Prior studies suggest that many concepts on the survey are challenging for introductory physics…

A 3-year study (2017-2019) was conducted to obtain the views of nonmajor undergraduate students about discussions in learning physiology. The teaching methods used were lecture only (lecture), group discussion alone (discussion), and a combination of lecture and discussion (lecture + discussion). Students were assigned homework in a textbook, and…

Exploring the value of course assessment across multiple teaching modalities, this chapter provides a framework for improving introductory science courses by evaluating the impact of pedagogical modality on student learning.

Lecture Capture (LC) material is accepted to be an available and accessible resource for students in universities across the world. This exploratory study investigates the "when viewing" LC material engagement of accounting undergraduate students. Three categories of engagement are defined, Near-Event-Viewing (NEV), Get-Round-to-Viewing…

In this mixed-methods study, we investigated the relationship between instructional approach, students' self-efficacy beliefs, and students' English language proficiency, as well as the perceptions of the instructor and students regarding problem-based learning (PBL) in a College English course in China. Using path analysis, we assessed the…

The primary purpose of this study was to compare academic variables from students participating in mixed teaching methods/course revitalization biology courses to those in traditional courses at two community colleges in Tennessee. A two-group comparison design using archived data was used, which evaluated differences in final grades, exam scores,…

Peer assessment has an important role in teaching and learning nowadays. However, the existing techniques tend to be limited due to a lack of a suitable means to evaluate the accuracy of peer assessment activities and supervise peer assessment performances in an online environment. Hence, it is very necessary to develop new solutions encourage…

This study conducted a comprehensive comparison of Item Response Theory (IRT) linking methods applied to a bifactor model, examining their performance on both multiple choice (MC) and mixed format tests within the common item nonequivalent group design framework. Four distinct multidimensional IRT linking approaches were explored, consisting of…

To evaluate the teaching effect of problem-based learning (PBL) combined with lecture-based learning (LBL) compared with that of LBL alone in renal pathology education for trainees receiving standardized training. A total of 65 undergraduate medical students who received standardized training in Xijing Hospital from January 2016 to November 2019…

In this article, I ask to what extent first-generation college students experience statistics anxiety and what are effective pedagogical strategies for building student confidence and encouraging learning. To answer these questions, I draw on the wide-ranging and developing literature on blended teaching methods--most commonly defined as the…

Measures of learning speed (i.e., the amount of learning/cumulative time learner spends engaged in an intervention) are rarely included in research designed to evaluate and compare academic interventions. We build a case that includes analyses of learning speed metrics in academic intervention research can provide more useful information for…

The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit with panel data. Two challenges arise with higher frequency data (e.g., monthly versus yearly): (1) achieving excellent pre-treatment fit is typically more challenging; and (2) overfitting to noise is more likely. Aggregating data…

We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…

Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…

Factor mixture modeling (FMM) has been increasingly used to investigate unobserved population heterogeneity. This study examined the issue of covariate effects with FMM in the context of measurement invariance testing. Specifically, the impact of excluding and misspecifying covariate effects on measurement invariance testing and class enumeration…