Intervention and education programs for autistic individuals have been greatly informed by the medical model of disease/disability. Under this model, autism is seen as something to be fixed or remediated, and interventions have often focused on reducing autistic traits in an effort to get the autistic person to appear more "typical."…

The teacher evaluation process has been an area of study for decades because of its complexity. Going back to one-room schoolhouses, teaching has always been an isolated profession--usually a room, a teacher, and students. Other colleagues or administrators are not participants in the classroom most of the time, which creates difficulties for…

YouTube viewers watch over a billion hours of videos monthly and have multiple choices on professional development resources. User-generated content (UGC) on YouTube is created by individuals instead of brands and uses different typologies of video production styles. This study examined 80 YouTube microlearning videos that provided insight into…

This systematic review aims to explore how student partnership is enacted in higher education assessment using community of practice and liminality of student roles as the conceptual framework. Forty-three empirical studies were selected, and extracted data were synthesised using thematic analysis. The results show that student partnership occurs…

Labor-based grading: for many instructors in the world of distance learning this is a new concept, yet it is one that is rapidly growing in acceptance and popularity. First introduced in 1993 by English professor Peter Elbow, the premise of labor-based grading is that instructors weigh assignments based on how much labor--how much…

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,…

The study aimed to determine the effectiveness of the blended learning modalities used by teachers in teaching Environmental Science classes in the new normal and their relationship to their academic performance. The researcher utilized the descriptive-correlational design and employed the random sampling technique. The respondents of the study…

Transitioning to emergency remote learning during the COVID-19 pandemic substantially impacted families; however, the lived experiences of caregivers with young children regarding this transition remain largely unexplored in Canada. The purpose of this paper was to report on how primary caregivers of school-aged children experienced this shift.…