Background/purpose: The increasing integration of digital technology in education underscores the need for instructional models that support personalized, skill-based, and problem-solving focused learning. While traditional pedagogies often fail to address these needs comprehensively, this study proposes that the Mastery Adaptive Problem-Solving…

This literature review analyzed 18 studies published between 2013 and 2020 to understand the role of virtual humans in mixed reality digital puppeteering simulations aimed at promoting teacher learning. Research questions explored: simulation design models, interactor training, and the attention researchers gave to language and race in the virtual…

This book is about inclusivity and open education in the digital age. It reports the latest data on this topic from the 2021 Cognition and Exploratory Learning in the Digital Age (CELDA) conference. This annual conference focuses on challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress…

Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…

Instructional designers are increasingly considering how to include students as participants in the design of instructional technologies. This study provides a lens into participatory design with students by examining how students conceptualized learning applications in science, technology, engineering, and mathematics (STEM) by designing paper…

The well established, gold standard approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pre-test and post-test design. RCTs have been used in the intelligent tutoring community for decades to determine which questions and tutorial feedback work best. Practically speaking, however,…

Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…

The purpose of this article is to propose a model to integrate educational mastery principles that emphasize cooperative and learner-centered instruction in higher education with the new advances of instructional technology, and to present a pilot case study to exemplify the model. It is clear that in spite of tremendous efforts by colleges and…

This paper presents a discussion of outcome assessment that puts into context how measurement has evolved to its present state. Several types of testing and assessment options are considered against a background of validity. Criterion-referenced measurement is discussed extensively in terms of history, field study, identity problems, intellectual…