This paper presents an in-depth analysis of student behavior and score prediction in the ASSISTments online learning platform. We address four research questions related to the impact of tutoring materials, skill mastery, feature extraction, and graph representation learning. To investigate the impact of tutoring materials, we analyze the…

Reasoning for complexity is a fundamental competency in these complex times for solutions to social problems and decision-making. The purpose of this paper is to demonstrate the validity and reliability of the eComplexity instrument by presenting its psychometric properties. The instrument consists of a Likert-type scale questionnaire designed to…

Use of online learning systems, such as learner dashboards, is increasing in university chemistry courses. Learning analytics can support student learning by providing feedback on concept mastery. This paper investigated how student use of a chemistry learner dashboard might be increased through class structure, instructor practice, and dashboard…

Digital game-based assessments generate student process data that is much more difficult to analyze than traditional assessments. The formative nature of game-based assessments permits students, through applying and practicing the targeted knowledge and skills during gameplay, to gain experiences, receive immediate feedback, and as a result,…

Randomized A/B tests in educational software are not run in a vacuum: often, reams of historical data are available alongside the data from a randomized trial. This paper proposes a method to use this historical data--often highdimensional and longitudinal--to improve causal estimates from A/B tests. The method proceeds in two steps: first, fit a…

Large-scale, robust implementation of teacher data-driven decision making (DDDM) is a challenging endeavor, impeded by numerous organizational, and teacher, factors. One well-documented barrier to teacher DDDM is underdevelopment of teacher data literacy. This study examines common errors made by pre-service elementary teachers in the formulation…

A family of learning models that integrates a cognitive diagnostic model and a higher-order, hidden Markov model in one framework is proposed. This new framework includes covariates to model skill transition in the learning environment. A Bayesian formulation is adopted to estimate parameters from a learning model. The developed methods are…

In the last five years or so, research has extensively explored the benefits and problems of flipped classrooms in helping improve the student learning experience. However, little attention has been given to the kinds of support that students would need in the process of mastering learning outside class. To address this gap in research and…

Learner-centered teaching (LCT) has been found to be a more effective pedagogy for online students, as traditional teaching methods do not work well in online courses. Professors in an upper-level technology management class revised their online introductory course to incorporate cafeteria-style grading. This LCT approach allowed students to…

Continuous and discontinuous data-collection methods were compared in the context of discrete-trial programming. Archival data sets were analyzed using trial sampling (1st 5 trials, 1st 3 trials, and 1st trial only) and session sampling (every other session, every 3rd session, and every 5th session). Results showed that trial sampling…

This study explores the link between individualized, job-embedded professional development and teacher evaluation. Moreover, the study explores and describes job-embedded strategies that principals used to facilitate teacher development while working within a state-mandated evaluation system. The theoretical frame utilized four elements of…

This is a substantially expanded and enhanced revision of Phyllis Blumberg's acclaimed and bestselling book, "Developing Learner-Centered Teaching: A Practical Guide for Faculty" (Jossey-Bass, 2009). This easy to follow how-to-guide provides faculty with both a thorough introduction to this evidence-based approach to teaching and…

Many states are moving away from approaches that base student advancement on credits and "seat time" toward competency-based learning approaches that provide schools with the flexibility to link a student's advancement to mastery of content. Regional Educational Laboratory Northeast & Islands, in partnership with the Northeast…

Effective teacher-student learning relationships can propel students to advanced ways of knowing and acting. In much arts based higher education learning, dynamic and fluid interplay of cognitive, meta-cognitive and aspirational aims and goals are prevalent and passed to students in a learning relationship that can be described as a cognitive…

This study is an analysis of the curriculum used to teach writing at one US high school in which outcomes for students were extremely strong. The study surfaces what was different in the approach used from what is typically understood and promoted as best practice in the teaching of writing. It does so in order to surface what elements of writing…