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…

Purpose: This paper presents a qualitative systematic review of Swedish research on vocational education and training (VET) at the upper secondary school level over the past 20 years. The review is based on a theoretical model on curriculum making as social practice that may serve as model for comparative studies between countries. By introducing…

My thesis work is focused on conceptual and epistemic learning and characterizing the environments in which this learning takes place. Earlier studies conducted by the Stowe group explored how instructional practices, instructional emphasis, and assessment emphasis relate to student outcomes in general and organic chemistry courses. Student…

Discrete-time survival analysis (DTSA) models are a popular way of modeling events in the social sciences. However, the analysis of discrete-time survival data is challenged by missing data in one or more covariates. Negative consequences of missing covariate data include efficiency losses and possible bias. A popular approach to circumventing…

Agility is a contemporary approach to IT project management, which we can also use in education. Students learn through the gradual implementation of iterative projects with information exchange between team members. Agility is above all a mindset. Being agile is quite simply being able to adapt to an environment that changes. Furthermore, various…

A source of contestation in higher education curricula is the multiplicity of demands they serve and purposes they seek to fulfil. In this paper, we see this contestation as actively shaping assessment theory and practice, resulting in paradoxes of valorisation and vilification of everyday assessment practices. We address the plethora of…

The rationality and the effectiveness of classroom teaching behavior directly influence the quality of classroom instruction. Analyzing teaching behavior intelligently can provide robust data support for teacher development and teaching supervision. By observing verbal and nonverbal behaviors of teachers in the classroom, valuable data on…

The evidence continuum is a five-domain model for building evidence through needs assessment, program theory, process evaluation, outcomes and impact evaluation, and optimization studies. In this conceptual article, the first two domains of the evidence continuum are used to design a learner centered course on advanced research methods, and…

This article describes and justifies a reporting standard to improve data use documentation in Agent-Based Modelling. Following the development of reporting standards for models themselves, empirical modelling has now developed to the point where these standards need to take equally effective account of data use (which previously has tended to be…

False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…

Large language models are increasingly used in educational and psychological measurement activities. Their rapidly evolving sophistication and ability to detect language semantics make them viable tools to supplement subject matter experts and their reviews of large amounts of text statements, such as educational content standards. This paper…

"Applications" of knowledge symbolically and structurally "codify" thinking, often displacing the human who is relegated to passive, routine reproduction of operations and left with no space or time to understand or question the relations underlying the processes. This is both mirrored and augmented by the schematic narrowing…

This academic article aims to present the principles of systematic design and development of educational innovations through research methodology, alongside protocols for effectiveness evaluation. The design and development of contemporary educational innovation require integration between principles of innovation and technology implementation,…

Traditional assessment design focuses on outcomes and often disregards how students perceive their abilities, process emotions, or self-express. This indifference can undermine assessment outcomes and evaluation reliability (Hattie, 2023; Nilson, 2023; Reibel 2022). This paper introduces "empathetic assessment design" (EAD), a framework…

Pyramidal training is an effective model for disseminating behavior analytic skills. However, pyramidal training in research is often conducted in controlled university settings. Further, research that has evaluated the effectiveness of pyramidal training in classroom settings (see Pence et al. 2014) often focuses on improving the use of one…