The goal of the present study was to extend earlier work on the estimation of person theta using maximum likelihood estimation in R by accounting for rapid guessing. This paper provides a modified R function that accommodates person thetas using the Rasch or 2PL models and implements corrections for the presence of rapid guessing or informed…

Frameworks for professional learning offer models of progression that analyse and describe changes in learner behaviours and practices. This paper argues that frameworks for teacher professional learning offer theoretical models that can enhance teachers' agency in their own development. Teachers' use of two primary science frameworks are…

Modeling is an important tool in science teaching and learning. Constructing a model instead of replicating one is more meaningful and better supports student learning than analyzing premade models (Firooznia 2015; Gouvea and Passmore 2017; Takemura and Kurabayashi 2014). Models include physical replications of a scientific phenomenon or analyzing…

Contribution: Two general rules for calculating, in the time domain, step discontinuities of voltages and currents in electric circuits, combining physical principles and basic mathematical treatment. The two general rules, resulting from a formal method of analysis, provide a straightforward way to update the states of a circuit, immediately…

State exams frequently use word problems to measure mathematics performance, making difficulties with word problem solving a barrier for many students with learning disabilities (LD) in mathematics. Based on meta-analytic data for students with LD, five empirically validated word-problem strategies are presented, with components of model-based…

Standard methods for the meta-analysis of medical tests, without assuming a gold standard, are limited to dichotomous data. Multivariate probit models are used to analyse correlated dichotomous data, and can be extended to model ordinal data. Within the context of an imperfect gold standard, they have previously been used for the analysis of…

Organizational learning integrates core specialized tacit resources and knowledge to facilitate development of strategic interdisciplinary knowledge development, integration, management and innovation. To promote open innovation within a gig economy, we address three problems: first, to identify which knowledge management view may contribute more…

Intervention scientists have used program theory-driven evaluation to design, implement, and assess the success of intervention programs for decades. However, interventions often are designed without the input of the community for which they are intended. The lack of incorporation of community members' voices that participate in various…

This chapter invites higher education to reimagine accountability within a backdrop of budgeting and financing as it relates to Hispanic Serving Institutions (HSIs). The authors call for more transparency in their pursuit of Latinx-specific funding and the implementation of race-evasive spending. Examples of how institutions, students, and funders…

In teacher education, case-based learning with text-based cases is an efficient method to foster pre-service teachers' diagnostic competence. To adaptively utilize text-based cases, knowledge about effects of text characteristics and empathy on processing text-based diagnostic information is needed, but still scarce. Our study focuses on effects…

Online risks and harms, including cyber-bullying, trolling, revenge porn and digital harassment, are an everyday reality in many young people's lives. Educators are increasingly being called upon to address these concerns but are not adequately equipped to do so. In this article the case is made for a new educational model for cyber-flourishing.…

Two examples of mathematical modelling are explored. Firstly, optimising the distance travelled when jumping from a swing is discussed. The second concerns optimising the distance travelled by monkeys when swinging from branch to branch.

Even though agent-based modelling is seen as committing to a mechanistic, generative type of causation, the methodology allows for representing many other types of causal explanations. Agent-based models are capable of "integrating" diverse causal relationships into coherent causal mechanisms. They mirror the crucial, multi-level…

Creating and developing mathematical models to solve real-world problems is a complex task and students often have difficulties in tackling it successfully. The design and implementation of sequences that help students autonomously develop their ability to solve modelling tasks could be a useful scaffolding tool to foster modelling learning. In…

Information technology (IT) is used in numerous fields today, from health to education. This situation has brought about the need to train individuals toward using technological knowledge efficiently. IT education plays an important role in training individuals to become qualified in this field. Therefore, the IT curriculum should be designed to…