In today's economy of knowledge, knowledge is considered as the most important element in the processes related to products and services in most organizations including software development organizations (SDOs). It is essential for SDOs to create a work environment that supports continuous learning in order to deal with the challenges of the new…

This paper tackles the issue of teacher researchers by offering a model for the design of teacher-led inquiries that meets both the theoretical and the practical requirements of scientific research in educational settings. Part 1 focuses on teachers' reluctance to undertake academic research during the course of their working year. Two practical…

With the innovation of the internet, the learner is able to access his or her online classroom anytime, and anywhere based on the customized online learning environment by instructional designers. Creating online learning environments, also known as instructional design, can be challenging. This research focused on how instructional designers…

Growth mixture models (GMMs) are prevalent for modeling unknown population heterogeneity via distinct latent classes. However, GMMs are riddled with convergence issues, often requiring researchers to atheoretically alter the model with cross-class constraints to obtain convergence. We discuss how within-class random effects in GMMs exacerbate…

To account for natural variability in cognitive processing, it is standard practice to optimize a model's parameters by fitting it to behavioral data. Although most language-related theories acknowledge a large role for experience in language processing, variability reflecting that knowledge is usually ignored when evaluating a model's fit to…

Students' ability to explain phenomena were compared when they were provided a model versus asked to draw their own model. As part of a pilot test, 1,405 students in the fourth through twelfth grades from across the United States responded to one of three different modeling tasks. Each task presented students with a phenomenon related to energy…

Lesson Study (LS) is a structured, collaborative professional development approach that gives instructors a framework for actively investigating how to improve student learning in their classrooms. Despite evidence of LS improving teacher practice and student learning in K-12 settings, there have been few documented examples of its use among…

Replication of machine learning experiments can be a useful tool to evaluate how both "modeling" and "experimental design" contribute to experimental results; however, existing replication efforts focus almost entirely on modeling alone. In this work, we conduct a three-part replication case study of a state-of-the-art LSTM…

Recent work on measuring growth with categorical outcome variables has combined the item response theory (IRT) measurement model with the latent growth curve (LGC) model (e.g., McArdle, 1988) and extended the assessment of growth to multidimensional IRT models (e.g., Hsieh, von Eye, & Maier, 2010; Huang, 2013) and higher-order IRT models…

Grade prediction for future courses not yet taken by students is important as it can help them and their advisers during the process of course selection as well as for designing personalized degree plans and modifying them based on their performance. One of the successful approaches for accurately predicting a student's grades in future courses is…

Researchers commonly interpret effect sizes by applying benchmarks proposed by Cohen over a half century ago. However, effects that are small by Cohen's standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability. In…

The process of planning to teach mathematics is complex and idiosyncratic and is gaining increased attention in educational research. In this paper, I propose a framework for conceptualising the critical factors that influence teachers' mathematics planning decisions. The framework is informed by the analysis of teacher survey data (n=114) and two…

The Models and Modeling Working Group at PME-NA has provided a forum for discussing and collaborating on projects fundamental to research on mathematical modeling since the first PME-NA conference in 1978. We propose to convene this Working Group at PME-NA 41 with a dual purpose: (1) to build on a theme begun in Greenville, holding a focused…

In this article we present and discuss some theoretical and methodological elements of a wider research that analyzes the teaching practice of two teachers novice and expert from a semiotic theoretical approach. The conceptual framework of this work allows for addressing the epistemological and didactic dimensions of the teaching practice. Three…

Despite the importance of rehearsal to most models of verbal working memory, its role has been recently called into question. Much prior work in support of rehearsal models has centered on the experimental effects of word-length, phonological-similarity, and irrelevant sound on serial order recall performance and the interaction of all three with…