Teachers are not always aware of how the classroom design influences teaching, particularly in many family and consumer sciences (FCS) classes that require studio space, such as apparel and interior design classes. The purpose of this paper is to introduce strategies to assess studio spaces that are designed for enhancement of student learning.…

Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…

In this paper, we show how data mining algorithms (e.g. Apriori Algorithm (AP) and Collaborative Filtering (CF)) is useful in New Social Network (NSN-AP-CF). "NSN-AP-CF" processes the clusters based on different learning styles. Next, it analyzes the habits and the interests of the users through mining the frequent episodes by the…

The Every Student Succeeds Act grants states new flexibility to create more balanced assessment systems with a greater role for formative assessment. Drawing on lessons learned over three decades of research and reform, we argue that state and local leaders should take the lead in designing new assessments guided by two core principles: First,…

Purpose: The purpose of this study is to describe the underlying topics and the topic evolution in the 50-year history of educational leadership research literature. Method: We used automated text data mining with probabilistic latent topic models to examine the full text of the entire publication history of all 1,539 articles published in…

The U.S. education system is founded on the idea that students are in class every weekday; simply put, to benefit from school, a student must be in attendance. Nevertheless, many students miss school on a regular basis, thereby missing out on valuable instruction. Statistics on absenteeism among homeless students are particularly concerning, with…

Characterizing the nature of students' affective and emotional states and detecting them is of fundamental importance in online course platforms. In this paper, we study this problem by using discussion forum posts derived from large open online courses. We find that posts identified as encoding confusion are actually manifestations of different…

Similar to many states, the Louisiana Department of Education (LDOE) does not mandate the use of specific literacy screening or progress monitoring tools. LDOE sought a measurement approach that resulted in accurate and reliable information on student progress and outcomes, yet respected local control. This state spotlight presents initial…

Criticisms have been levelled at e-research that limited knowledge has been produced helpful for guiding educators in using digital tools more effectively for teaching and learning. This issue has become more acute with the emergence of mobile devices that enable learners to transition across different learning spaces and times. Traditional data…

Educators in higher education institutes often use statistical results obtained from their online Learning Management System (LMS) dataset, which has limitations, to evaluate student academic performance. This study differs from the current body of literature by including an additional dataset that advances the knowledge about factors affecting…

Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…

The study consisted of three articles. Article one aimed to determine if there were any significant difference in science graduate students' (SGSs') conceptions of the "consensus tenets" of the nature of science (NOS) with respect to demographic factors -- the SGSs' academic and research characteristics. The participants were SGSs from…

An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…

Recommender systems in educational contexts have proven effective to identify learning resources that fit the interests and needs of learners. Their usage has been of special interest in online self-learning scenarios to increase student retention and improve the learning experience. In current recommendation techniques, and in particular, in…

Social network analysis (SNA) consists of a broad set of frameworks and methods to assess how direct and indirect relationships influence individual functioning. Although interest in SNA has steadily increased in the psychological sciences, school psychology has not kept pace. This article provides a general overview of core SNA concepts,…