Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are three challenges for their broad-scale adoption: A technical challenge regarding the need for high-quality models, which is exacerbated for languages with fewer resources than English; a usability…

This paper presents a systematic review of the application models, affects, and performance outcomes of VR/AR in vocational education. The analysis is based on journal articles retrieved from renowned databases such as Web of Science, Scopus, and EBSCO, spanning from January 2000 to January 2022. It highlights the pedagogical value of VR/AR in…

As a result of stress, burnout, and attrition, the U.S. has perpetual teacher shortages. While systemic changes are necessary to improve the field of education, teaching as a helping profession is stressful, with multiple job responsibilities and roles. In addition to work-related stress and burnout, teachers are also affected by compassion…

The Dual Pathway to Creativity Model theorizes that creative performance arises from cognitive flexibility, persistence, or a combination of the two. Existing research has only examined these pathways independently, limiting our understanding of the model and of how people generate ideas. We extend the DPCM model by predicting that creative output…

Program-level assessment is a holistic approach for arranging assessments throughout a degree program that supports sequential development of discipline knowledge, transferable skills and career readiness. Currently, the modular arrangement of courses means that student learning is partial, limited to passing the assessment and compartmentalized…

This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

Despite the increasing adaption of automated text analysis in communication studies, its strengths and weaknesses in framing analysis are so far unknown. Fewer efforts have been made to automatic detection of networked frames. Drawing on the recent developments in this field, we harness a comparative exploration, using Latent Dirichlet Allocation…

When it comes to mastering the digital world, the education system is more and more facing the task of making students competent and self-determined agents when interacting with digital artefacts. This task often falls to computing education. In the traditional fields of computing education, a plethora of models, guidelines, and principles exist,…

Mathematical modeling (MM) -- a cyclical process that involves using mathematics to make-sense of and analyze relevant, real-world situations -- has the potential to advance equity and challenge spaces of marginalization in the elementary mathematics classroom. When informed by culturally responsive teaching practices, MM creates opportunities to…

Participation in educational settings is a universal right of every child, consigned by the United Nations Convention on the Rights of the Child. This right encompasses the need to protect and encourage young children's active participation and decision-making in early childhood education and care. Research Findings: This qualitative study,…

We extended current knowledge by examining the performance of several Bayesian model fit and comparison indices through a simulation study using the confirmatory factor analysis. Our goal was to determine whether commonly implemented Bayesian indices can detect specification errors. Specifically, we wanted to uncover any differences in detecting…

A standard assumption of latent class (LC) analysis is conditional independence, that is the items of the LC are independent of the covariates given the LCs. Several approaches have been proposed for identifying violations of this assumption. The recently proposed likelihood ratio approach is compared to residual statistics (bivariate residuals…

One of the essential goals of science learning is to lead students to master scientific concepts or ideas and apply them to explain relevant everyday phenomena. Such mastery should help students to work with various representations. The objective of this study was to determine the effectiveness of the Learning Cycle Multiple Representation (LCMR)…

Intended for researchers and clinical leaders, this article suggests that embedded program evaluation is a good fit with the desired features of practice-oriented research. The systematic nature of evaluation that is built into the operational workflow of a practice setting may increase the diversity of methods available to explore processes and…

With the "pictorial turn", the picture has gained a new significance as a medium. It is impossible to imagine a digitalized world affected by mass media without pictures. While there are several studies on the impact of pictures in the discourse on climate change in the media, there has been no analysis of the visual representation of…