In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…

Background: Achievement goal theory is a popular motivational theory within education and psychology, with several review papers summarizing the extensive work done in these fields. Although reviews exist in these specific fields, none exists within science, technology, engineering, and mathematics (STEM) education. This is a considerable gap in…

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…

Executive functioning (EF) deficits, such as challenges with planning, organization, and materials management, negatively impact academic performance, particularly for middle-school students with autism spectrum disorder (ASD) without intellectual disability (ID). The aim was to assess the initial efficacy of the school-based version of the…

An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…

As online learning platforms become more ubiquitous throughout various curricula, there is a growing need to evaluate the effectiveness of these platforms and the different methods used to structure online education and tutoring. Towards this endeavor, some platforms have performed randomized controlled experiments to compare different user…

Learning experience designers consistently balance the trade-off between open and close-ended activities. The growth and scalability of Computer Based Learning Platforms (CBLPs) have only magnified the importance of these design trade-offs. CBLPs often utilize close-ended activities (i.e. Multiple-Choice Questions [MCQs]) due to feasibility…

As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…

Although almost everyone agrees that the environment shapes children's learning, surprisingly few studies assess in detail the specific environments that shape children's learning of specific content. The present article briefly reviews examples of how such environmental assessments have improved understanding of child development in diverse…

Extensive literature in artificial intelligence in education focuses on developing automated methods for detecting cases in which students struggle to master content while working with educational software. Such cases have often been called "wheel-spinning," "unproductive persistence," or "unproductive struggle." We…

Understanding students' progress towards meeting grade-level expectations within an academic year is the goal of many education stakeholders so that they can make decisions to adjust instruction and improve students' learning trajectories. The purpose of this study was to explore 4th and 5th grade students' progress towards meeting expectations in…

This paper reports on a quasi-experimental pilot study of the impacts of a high school teacher professional development (PD) series. The 10-session series, "Engaging High School Students in Academic Work," was designed to equip teachers to deepen students' learning and engagement and thereby increase course-passing rates. The study took…

By combining the benefits from Intelligent Tutoring Systems (ITSs) and video games, educational games offer the unique potential to capture learners' interest, compel them to persist with targeted tasks, and can result in improved mastery of educational content and skills. These benefits are described within the context of educational game…

Background: Academic challenges such as losing/not turning in assignments, misplacing materials, and inefficient studying are common in middle-school students with autism spectrum disorder (ASD) without intellectual disability. Deficits in organization, planning, prioritizing, memory/materials management, and studying skills [i.e. academic…

The paper presents the results of a randomized experimental study of a writing curriculum for college developmental writing courses based on strategy instruction with self-regulation integrated with practices common in college composition. Students in a full semester course learned strategies for planning and revising based on rhetorical analysis…