In this theoretical paper, I use an empirically based example to illustrate particular design features of the Learning Through Activity (LTA) design framework and examine the impact of particular design principles. The LTA design framework is based on our elaboration of Piaget's construct of reflective abstraction. The example discussed here,…

Research in psychology and education tend to use large-N group designs that necessitate reporting of mean measures analyzed mostly with null hypothesis statistical testing (NHST), but sometimes with Bayesian, or the estimation approaches in inferential statistics. These approaches all render the average person or student as the the putative…

This paper is an initial report of the data analysis phase of a larger study that traces the evolution of Computer Assisted Language Learning (CALL). All published Research Articles (RAs) from four major CALL journals -- "ReCALL," "CALL," "Language Learning & Technology" ("LL&T") and "CALICO…

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…

Given the rapid growth of research-practices partnerships (RPPs), we need a framework that helps the field understand how RPPs can facilitate mutual learning for those involved. Drawing on both cultural-historical and organizational learning theories, we argue that learning can happen in RPPs for both researchers and practitioners at the…

The use of Bayesian Knowledge Tracing (BKT) models in predicting student learning and mastery, especially in mathematics, is a well-established and proven approach in learning analytics. In this work, we report on our analysis examining the generalizability of BKT models across academic years attributed to "detector rot." We compare the…

The application of item response theory (IRT) is almost universal in the development, implementation, and maintenance of large-scale assessments. Therefore, establishing the fit of IRT models to data is essential as the viability of calibration and equating implementations depend on it. In a typical test administration situation, measurement…

This paper, grounded in Positioning Theory (Harré & Van Langenhove, 1999), investigates the intricate journey of graduate assistants from self-formation to transformation. Through examining the pivotal themes of social interaction, dynamic roles, workplace culture, and professional development, the paper reveals a nuanced interplay of factors…

Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…

The outbreak of the COVID-19 pandemic along with the gradually changing educational trends facilitate the transformation from traditional learning methods to digital learning methods. Besides, student satisfaction is vital in remote education course evaluations because it is associated with the quality of online programs. Recently, the EduNext…

In adaptive learning systems, various models are employed to obtain the optimal learning schedule and review for a specific learner. Models of learning are used to estimate the learner's current recall probability by incorporating features or predictors proposed by psychological theory or empirically relevant to learners' performance. Logistic…

The notion that educators are committed to effective facilitation of racial integration in secondary schools has become the keystone in developing a socially just schooling system in South Africa. This paper sets out to determine the role educators play in the transformation of schools towards racial integration, as well as their nature and…

Educational institutions are places of affective intensity, and feelings and how they are expressed have significant implications for organising in those settings. However, research into role of affect in organising in schools and colleges has only recently caught the attention of education researchers. Consequently, affect does not have the…

While proving, and more broadly conceived "reasoning and sense-making," have received a great deal of attention in mathematics education research over the past three decades, recently scholars have argued for the importance of justification as a learning and teaching practice. As teachers work toward realizing goals for more equitable…