It is particularly important to identify and address issues of fairness and equity in educational contexts as academic performance can have large impacts on the types of opportunities that are made available to students. While it is always the hope that educators approach student assessment with these issues in mind, there are a number of factors…

The validity and specifically the convergent validity of a course's online assessments (i.e. the extent to which the online assessments really measure what is measured by other assessments meant to measure the constructs of the course's learning outcomes) so far receive little attention, especially for business mathematics courses. Based on a…

This project aims to gain insight into the mechanisms by which schools in highly challenging environments avoided learning loss--or even improved--during the pandemic. Using a unique dataset covering multiple levels of school, health, and environmental data, we examine which factors led schools to 'beat the odds' when it comes to learning…

The purpose of this study is to examine how academic coaches impact non-traditional student performance in a time-intensive online learning program for pursuing a master's degree in a public university. By adopting the analysis of variance (ANOVA) technique, we compared the academic performance of students in three courses with different numbers…

One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…

Personalized learning environments requiring the elicitation of a student's knowledge state have inspired researchers to propose distinct models to understand that knowledge state. Recently, the spotlight has shone on comparisons between traditional, interpretable models such as Bayesian Knowledge Tracing (BKT) and complex, opaque neural network…

In this paper, part of a larger study investigating the efficacy of targeted tuition for 30 upper primary and middle school students with mathematical learning difficulties (MLD) is described. Mathematics anxiety (MA) was measured before and after 24 individual tuition sessions delivered to one group by personal videoconferencing (PVC) and to…

The paper presents issues of modern IT-specialists training. Formation of information-educational environment of IT-professionals is discussed. Studying of enterprise infocommunication infrastructure and its management features within a framework of the traditional educational process is considered. [For the complete proceedings, see ED579395.]

As we design increasingly complex systems, we run up against fundamental limitations of human imagination. To support practice, it becomes essential to use authentic data and algorithms as design materials to augment designers' intuitions. Recent work has explored some dimensions of using data as a design material, suggesting the contours of a new…

With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment and improving teaching practice. Most of these research efforts focused on course-level variables to predict student…

The purpose of this study was to investigate the specific factors teachers consider when assigning the grades they record on students' report cards. Data were gathered from 943 K-12 teachers from five school districts in a Southeastern state who completed the "Teachers' Grading Practices Survey." Analyses focused on how teachers weigh…

This paper examines the implementation of an instructional module on Preservice Elementary Teachers' (PSETs) professional noticing of children's mathematical thinking as defined by Jacobs, Lamb, and Philipp (2010). The module focuses on professional noticing skills through the content focus of early algebraic reasoning and uses complex video…

Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…

The relationship between cognitive processing and spatial ability offers insight into the effectiveness of complex images for learning. In this study we demonstrate that high and low spatial ability learners process complex images differently for learning. Processing for the present study was determined by changes in cerebral blood velocity and…

Prior studies on scaffolding for investigative inquiry practices (i.e. forming a question/hypothesis, collecting data, and analyzing and interpreting data [21]) revealed that students who received scaffolding were better able to both learn practices and transfer these competencies to new topics than were students who did not receive scaffolding.…