This article explores the associations between the achievement of economically disadvantaged students and the presence of state policies that include student achievement in teacher evaluations. We looked at student achievement across all 50 states from 2007 through 2013. A simple comparison of states with and without the policy suggested that…

Academic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities in how they construe and communicate meaning. This study examines the extent to which discourse…

Teaching farms have recently gained popularity, but they are often expensive venues per student credit hour. It is therefore important they are used effectively. This research explored why faculty members use teaching farms, their goals and objectives with regard to the farm, and how they integrate teaching farms into curriculum. Twenty interviews…

This paper engages with an extensive body of research by David Raffe to explore what it means to say that a qualifications framework "works", in light of the limited evidence to support the claims made about this popular policy phenomenon. The framework regarded as the most successful, the Scottish Credit and Qualifications Framework, is…

Gathering labeled data in educational data mining (EDM) is a time and cost intensive task. However, the amount of available training data directly influences the quality of predictive models. Unlabeled data, on the other hand, is readily available in high volumes from intelligent tutoring systems and massive open online courses. In this paper, we…

The Hierarchical Diagnostic Classification Model (HDCM) reflects on the sequences of the presentation of the essential materials and attributes to answer the items of a test correctly. In this study, a foreign language reading comprehension test was analyzed employing HDCM and the generalized deterministic-input, noisy and gate (G-DINA) model to…

We review the GIDNA and CDM packages in R for fitting cognitive diagnosis/diagnostic classification models. We first provide a summary of their core capabilities and then use both simulated and real data to compare their functionalities in practice. We found that the most relevant routines in the two packages appear to be more similar than…

Character education specialists seem to know it when they see it, but what it means to call something a character education program remains unclear. One possible source for this uncertainty is the manner in which character education has been defined. By identifying certain features as necessary, existing definitions fail to encompass the universe…

Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…

This report presents results on a parallel implementation of the expectation-maximization (EM) algorithm for multidimensional latent variable models. The developments presented here are based on code that parallelizes both the E step and the M step of the parallel-E parallel-M algorithm. Examples presented in this report include item response…

The paper presents the first systematic approach to the classification of inclusive information and communication technologies (ICT)-based learning technologies and ICT-based learning technologies for disabled people which covers both assistive and general learning technologies, is valid for all disabled people and considers the full range of…

This study concerns a framework for designing Teaching-Learning Sequences that aims to integrate the implementation of scientific practices in the context of daily problems. Said framework consists of three stages (formulation of the design principles, instructional design and design of the learning activities). It is based on four design…

With the rising popularity of and legal requirements for media accessibility, a need has arisen to train professional audio describers and, to this end, to educate audio description trainers. This paper aims to serve as guidance for trainers who wish to design and conduct their own audio description course. It first identifies shortcomings in the…

Discussion forums in learning management systems (LMS) have been shown to promote student interaction and contribute to the collaborative practice in the teaching-learning process. By evaluating the postings, teachers can identify students with learning difficulties. However, due to the large volume of posts that are generated on a daily basis in…

Educational data mining (EDM) has been a rapidly growing research field over the last decade and enabled researchers to discover patterns and trends in education with more sophisticated methods. EDM offers promising solutions to complex educational problems. Given the rapid increase in the availability of big data in education and software…