This study investigated how teacher educators utilize feedback to enhance reflective practices among pre-service teachers during microteaching sessions. Conducted at a government-run teacher education college in Ethiopia, this research adopted a case study approach, employing semi-structured interviews, Focus Group Discussions (FGD), and…

The present study examined whether emotion regulation plays a mediating role in the relationship between aggressive behavior and sleep disorders in young children. Data were collected during pandemic via the Sleep Disturbance Scale for Children, the Aggression Tendency Scale and the Emotion Regulation Check List from 662 mothers with children aged…

Collaborative Problem-Solving Skills (CPS) have become increasingly important. Research into the development of CPS is still scarce, but there are several approaches that may be useful for its development. Specifically, providing feedback in collaborative contexts is key. In this paper, we study and develop a feedback system that uses Automated…

Screening items for parameter drift helps protect against serious validity threats and ensure score comparability when equating forms. Although many high-stakes credentialing examinations operate with small sample sizes, few studies have investigated methods to detect drift in small sample equating. This study demonstrates that several newly…

In line with the journal volume's theme, this essay considers lessons from the past and visions for the future of test validity. In the first part of the essay, a description of historical trends in test validity since the early 1900s leads to the natural question of whether the discipline has progressed in its definition and description of test…

This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…

This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…

Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs incorporate a vector of subject-specific weights characterizing partial membership across clusters. With this flexibility come challenges in uniquely identifying,…

Item response tree (IRTree) models are recently introduced as an approach to modeling response data from Likert-type rating scales. IRTree models are particularly useful to capture a variety of individuals' behaviors involving in item responding. This study employed IRTree models to investigate response styles, which are individuals' tendencies to…

The semi-generalized partial credit model (Semi-GPCM) has been proposed as a unidimensional modeling method for handling not applicable scale responses and neutral scale responses, and it has been suggested that the model may be of use in handling missing data in scale items. The purpose of this study is to evaluate the ability of the…

There are positive feedback loops between students' grades and emotions. However, subjective appraisals, not grades, are theorized to trigger emotions. We extended previous research by comparing the effects of objective score and subjective appraisals of the score (i.e., satisfaction) on emotions. We used an ecologically-valid quasi-experimental…

The social information processing (SIP) model, which involves a sequence of six cognitive processing steps, is frequently used by researchers to understand proactive and reactive aggression in youth; however, there has been little discussion in the literature regarding the application of the SIP model in school counseling. This article presents a…

Course evaluations can be an effective tool for students to appraise a course and instructor; however, they can also be a communicative space for students to write comments instructors perceive as hurtful, need to make sense of and reconcile with their instructional practice. Instructors turn to others to help make sense of and cope with comments.…

There to date exists limited research on how emotion regulation shapes students' emotional experiences and academic development in higher education. The purpose of this study was to address this gap by examining how students in STEM (Science, Technology, Engineering, Math) degree programs (N = 174) use emotion regulation strategies related to…

This research examined the effect of learning analytics (LA) on students' metacognitive awareness and academic achievement in an online learning environment. In this study, a mixed methods approach was used and applied as a quasi-experimental design. The results of LA were sent to students weekly in LA group (experimental group) via learning…