Individualization of learning through ICT [Information and Communication Technology] allows to students not only the possibility choose the time and place to study, but especially pace adoption of new knowledge on the basis of preferred learning styles. Analysis of learning processes should give the answer to difficult questions from pedagogical…

In this investigation, we examined the extent to which instructional expenditures were related to student academic achievement for students enrolled in Texas public schools for the 2005-2006 through the 2009-2010 school years. Student performance on the state-mandated assessments for all school districts in Texas for these five school years was…

This study investigates 1.5 generation Asian immigrant children's (n = 264) early literacy achievement patterns, treating them as a heterogeneous group. Specifically, the within-group variances in reading achievement from kindergarten to third grade are examined, drawing on four waves of data from the ECLS-K class of 1998-1999. Our analysis shows…

Third grade at-risk students in Wilson County Schools, Wilson, NC continuously perform below the state average on the North Carolina Third Grade Reading End-of-Grade test. Leaders in the Wilson County Schools school district implemented a literacy pull-out intervention program for third grade at-risk students as a strategy to improve reading…

Latent variable models, such as the popular Knowledge Tracing method, are often used to enable adaptive tutoring systems to personalize education. However, finding optimal model parameters is usually a difficult non-convex optimization problem when considering latent variable models. Prior work has reported that latent variable models obtained…

In this work we introduce the system for adaptive practice of foundations of mathematics. Adaptivity of the system is primarily provided by selection of suitable tasks, which uses information from a domain model and a student model. The domain model does not use prerequisites but works with splitting skills to more concrete sub-skills. The student…

This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…

Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

The population of Spanish-speaking preschoolers in the United States continues to increase and there is a significant need to develop psychometrically sound early language and literacy screening measures to accurately capture children's ability in Spanish. In this paper, we describe the innovative design and calibration process of the new…

Background/Context: Education scholars have examined how state policy and informal practice can widen or reproduce racial and gender inequalities in graduate education. Just one empirical study, which focused on psychology programs, has identified organizational practice that supports recruitment and retention of graduate students of color. Focus…

Curriculum design, teaching methods, assessments and range of academic support need to be inclusive in Open Access Enabling courses. The findings of this study confirm a correlation between student access to online learning materials and a positive impact on grades in science courses. More specifically, students who frequently use the online…

This study investigated whether German learners of English as a foreign language (EFL) acquire additional recoding strategies that they do not need for recoding in the consistent German orthography. Based on the psycholinguistic grain size theory (Ziegler & Goswami, 2005) we expected students with little experience in EFL to use the same…

As classrooms continue to diversify, there is an increasing need to understand children's inclusive behaviours and moral reasoning. Research shows that epistemic beliefs (beliefs about knowing and knowledge) can influence reasoning for adults, but we know little about this relationship in younger children or how classroom contexts relate to…

As the demographics of the United States continue to shift, American classrooms reflect the richness of cultural diversity and the vibrancy of immigrant populations. Education abroad programs provide opportunities for preservice teachers to develop their cultural competence, required for effectively teaching children from a range of cultural…

In this paper, we present a novel system, inVideo, for video data analytics, and its use in transforming linear videos into interactive learning objects. InVideo is able to analyze video content automatically without the need for initial viewing by a human. Using a highly efficient video indexing engine we developed, the system is able to analyze…