Although feedback is a widely used intervention for improving performance, it is unclear what characteristics individuals prefer and what is necessary for it to be effective. The purpose of this study was to systematically extend Simonian and Brand (2022) by addressing the limitations of the study and adding a best-treatment phase. During an…

Research has demonstrated that compared to mastery-approach goals (i.e., trying to develop a mental ability), performance-approach goals (i.e., trying to outperform others) elicit higher metacognitive judgments, such as judgments of learning (JOLs). However, the underlying mechanism of the effects of achievement goals on JOLs remains unclear.…

In most mathematics textbooks, each lesson is followed by a set of homework problems in one of two ways -- blocked practice and mixed practice. Additionally, most mathematics textbooks rely on a common learning strategy called overlearning, that is, mastering a skill and continuing to practice this same skill. This study investigated the effects…

In learning diagnostic assessments, the attribute hierarchy specifies a sequential network of interrelated attribute mastery processes, which makes a test blueprint consistent with the cognitive theory. One of the most important functions of attribute hierarchy is to guide or limit the developmental direction of students and then form a…

This study investigates the implementation and impact of mastery learning in a computer science course, particularly during the transition from traditional teaching methods to mastery learning amidst the COVID-19 pandemic. Employing a longitudinal research methodology, the study integrates a multi-faceted data collection approach, including…

As outlined by Benjamin Bloom, students working within a mastery learning framework must demonstrate mastery of the core prerequisite material before learning any subsequent material. Since many learning systems in use today adhere to these principles, an important component of such systems is the set of rules or algorithms that determine when a…

Cognitive diagnostic models (CDMs) are a family of psychometric models designed to provide categorical classifications for multiple latent attributes. CDMs provide more granular evidence than other psychometric models and have potential for guiding teaching and learning decisions in the classroom. However, CDMs have primarily been conducted using…

The learning model should be able to improve student's learning abilities. The Brain-Based Whole Learning (BBWL) model is one of the alternative learning models that can improve students' retention achievement, supported by scientific literacy and concept mastery. This study aims to determine the effect of the BBWL model on students' scientific…

With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…

Acquisition patterns of irregular verbs by Second and Foreign Language learners of English in Cameroon present remarkable peculiarities that emanate from the country's unique linguistic identity, where French, English and a multiplicity of local languages are spoken. Following on a previous study (see Ngasu Betek 2020) this study documents these…

Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…

In the past couple of decades, the geoscience education community has made great strides toward investigating how to provide effective student learning experiences in the college setting. While experiences such as student-centered teaching strategies and course design elements are useful for the instructor, they may not make important elements of…

The course of science is considered to boring and difficult course to be understood by students of science education program. The aims of this research are examine the effect of RMS learning model in mastering the students concepts; 2) examine the effect of difference academic ability in mastering students concept; 3) examine the effect of…

Learners in the process of developing complex skills need a rich mental model of what such skills entail. Textual analytics rubrics (TR) are a widely used instrument to support formative assessment of complex skills, supporting feedback, reflection, and thus mental model development of complex skills. However, the textual nature of a rubric limits…

Many large-scale, school-based interventions have attempted to improve academic performance through promoting students' growth mindset, defined as the belief that one's intellectual ability can increase with practice and time. However, most have shown weak to no effects. Thus, it is important to examine how growth mindset might affect retention…