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…

Guided by the content specificity perspective of motivation, the purpose of the study was to identify the extent to which student motivation level is a function of content variations. Motivation intervention studies were reviewed and categorized into content-focused and motivation-only learning contexts for meta-analysis. Original and calculated…

Because of the need to provide fine-grained longitudinal diagnostic feedback, longitudinal cognitive diagnosis is an emerging approach that integrates cross-sectional cognitive diagnosis models (CDM) with longitudinal data analysis techniques. By adopting the generalized longitudinal higher-order log-linear CDM, this study attempted to track the…

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…

Higher education students utilize Open AI tools such as ChatGPT as learning aids when confronted with academic challenges during their learning journey. Prior work has established that adaptive and maladaptive forms of academic help-seeking are closely related to achievement goals, which could lead to different patterns of using ChatGPT as a…

Mastery learning -- requiring students to achieve proficiency in a topic before advancing -- is a well-established and effective teaching method. Digital learning systems support this approach by personalizing content sequences, enabling students to focus on practicing topics they have not yet mastered. To achieve this, digital learning systems…

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…