College students in a lower-division psychology course made metacognitive judgments by predicting and postdicting performance for true-false, multiple-choice, and fill-in-the-blank question sets on each of three exams. This study investigated which question format would result in the most accurate metacognitive judgments. Extending Koriat's (1997)…

Over the past decade, meta-analyses have been conducted to evaluate the impact of embodied pedagogical agents on learning outcomes. Most review studies have evaluated learning outcomes from the perspective of testing labels such as transfer, retention, recognition, free recall, and various other classifications. This is problematic, because…

Making metamemory judgments reactively changes item memory itself. Here we report the first investigation of reactive influences of making judgments of learning (JOLs) on interitem relational memory--specifically, temporal (serial) order memory. Experiment 1 found that making JOLs impaired order reconstruction. Experiment 2 observed minimal…

Despite the importance of the PhD viva in assessing the quality of doctoral research, how examiners approach the PhD viva remains underexplored in the Global South. This study fills this gap by investigating the conceptions of doctoral examiners in Malaysia, shedding light on how they approach the PhD viva and what they believe its key purposes…

In spring 2020, the chemical education community faced an abrupt transition from in-person to online classes, which also necessitated online assessments. Building upon an existing three-semester study (F17, S19, and F19) using Rasch modeling and classical testing theory to improve in-person multiple choice exams, this study investigates the impact…

This study evaluated the impact of subgroup weighting for equating through a common-item anchor. We used data from a single test form to create two research forms for which the equating relationship was known. The results showed that equating was most accurate when the new form and reference form samples were weighted to be similar to the target…

To date, only frequentist model-selection methods have been studied with mixed-format data in the context of IRT model-selection, and it is unknown how popular Bayesian model-selection methods such as DIC, WAIC, and LOO perform. In this study, we present the results of a comprehensive simulation study that compared the performances of eight…

Interest in spatial ability has grown over the past few decades following the emergence of correlational evidence associating spatial aptitude with educational performance in the fields of science, technology, engineering, and mathematics. The research field at large and the anatomy education literature on this topic are mixed. In an attempt to…

Objective: Our master's program in biostatistics requires a qualifying examination (QE). A curriculum review led us to question whether to replace a closed-book format with an open-book one. Our goal was to improve the QE. Methods: This is a case study and commentary, where we describe the evolution of the QE, both in its goals and its content.…

Currently, 50 + learning systems supporting student question-generation (SQG) activities have been developed. While generating questions of different types is supported in many of these systems, systems allowing students to generate questions around a scenario (i.e. student testlet-generation, STG) are not yet available. Noting the increasing…

A challenging aspect of online education is assessment since academic integrity could be violated due to students' cheating behaviors. The current qualitative research investigated English teachers' perceptions of why students cheat in online assessments. Besides, it attempted to find strategies to reduce cheating in online assessments. Twelve…

Online credit recovery (OCR) courses are the most common means through which students retake courses required for high school graduation. Yet a growing body of research has raised concerns regarding student learning in these courses, with low quality assessments posited as one contributing factor. To address this concern, we reviewed every…

Knowledge is an important predictor and outcome of learning and development. Its measurement is challenged by the fact that knowledge can be integrated and homogeneous, or fragmented and heterogeneous, which can change through learning. These characteristics of knowledge are at odds with current standards for test development, demanding a high…

This study examines the online assessment-evaluation activities in distance education processes. The effects of different online exam application styles considering the online assessment-evaluation in distance education processes, including all programs of a higher education institution, were documented. The population for online…

Purpose: This study examined the performance difference between remote and in-laboratory test modalities with a speech recognition in noise task in older and younger adults. Method: Four groups of participants (younger remote, younger in-laboratory, older remote, and older in-laboratory) were tested on a speech recognition in noise protocol with…