Procedural fidelity is defined as the extent to which the independent variable is implemented as prescribed. Research using computerized tasks has shown that fidelity errors involving consequences for behavior can hinder skill acquisition. However, studies examining the effects of these errors once skills have been mastered are lacking. Thus, this…

This paper explores the concept of Flipped Mastery as an innovative approach to education that allows for the customization of learning experiences to meet each student's unique needs and preferences. To create a student-centered and personalised educational environment, Flipped Mastery blends the ideas of flipped learning with mastery-based…

Using Coarsened Exact Matching (CEM), this analysis examined the impact of Zearn Math across 7,116 matched pairs of students in 31 Louisiana parishes. Students who completed an average of 3+ Zearn Math lessons per week during the 2021-2022 school year were compared to similarly matched peers who completed less than 1 lesson per week. Findings…

Everyone uses a traditional five-point grading system to assess students' activities, however, it is not always possible to objectively evaluate students' work using this method. Therefore, the authors use the criteria-based student assessment system in our lessons. The purpose of this article was to compile a model of a system for assessing…

For the offshore energy industry, virtual environment technology can enhance conventional training by teaching basic offshore safety protocols such as onboard familiarization and emergency evacuation. Virtual environments have the added benefit of being used to investigate the impact of different training approaches on competence. This pilot study…

Math to Mastery (MTM) is a multi-component math intervention that has demonstrated effective results in building math fluency and skill acquisition. Few studies have explored the use of brief experimental analysis (BEA) procedures to create an individualized, abbreviated MTM intervention to address skill deficits in basic math. The purpose of this…

Using a theoretical framework of policy assemblage, we analyse current primary mathematics teacher professional development in England, in the context of a transnational policy of mastery in mathematics influenced by East Asian practices. As well as the increased discourse of marketisation, and school and teacher autonomy, there has also been a…

In an era of heightened accountability and expanding educational technology choices, mathematics educators must critically assess the effectiveness of the tools available to them. While deciding on technological tools, it is essential that we not only promote rigor in mathematics but also ensure closing learning gaps and improve students' beliefs…

For this study, a training module is designed as an integral component of a professional educational program to include an educational workshop situated in a university classroom, educational research work, and a reflexive activity. A didactic model consisting of five structural and functional blocks, namely, normative-target, conceptual,…

A mastery-based learning model has limited value in secondary English classrooms, particularly as it relates to writing instruction. Kelsey Hammond and Chelsey Barber argue against the focus on standardized benchmarks that are tied to mastery-based models in favor of an approach to writing that is explorative, personal, and imaginative. The rise…

This study investigates primary teachers' and elementary principals' perspectives on alternatives to the traditional model of student progression in school and whether these options may improve the acquisition of skills needed for advancing into upper grades. Primary mastery of basic skills is essential to learning; however, with rigorous federal…

Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…

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…

Self-assessment is a formative process where students evaluate the quality of their own work. This paper describes a strategy for using student created rubrics as self-assessment tools to increase student engagement. Initially, the instructor models how to identify criteria for mastery in an assignment. This is followed by students in small groups…

The vast amount of data collected during online learning offers opportunities to advance newer interventions that might aid learning. One such intervention has been learning analytics dashboards, visualizations designed to translate learning-related data into usable information. However, many student-facing dashboards compare learners' performance…