This article tests whether collecting pile-sort data online produces results similar to those obtained with face-to-face methods. We collected pile sorts from 227 university students in the cultural domain of emotions. To test for mode and design effects, we randomly assigned participants to face-to-face or internet modes and to either a 15- or…

The American Society for Biochemistry and Molecular Biology (ASBMB) began an accreditation program in 2013. The criteria for accreditation of undergraduate programs include sufficient infrastructure--number and expertise of faculty, physical space and equipment, support for faculty and students--and incorporation of core concepts in the…

Distance education enrollments increased for the fourteenth straight year, growing faster than they have for the past several years. From 2002 to 2012 both distance and overall enrollments grew annually, but since 2012 distance growth has continued its steady increase in an environment that saw overall enrollments decline for four straight years…

How can we learn to use properly business software, digital environments, games or intelligent tutoring systems (ITS)? Mainly, we assume that the new user will learn by doing. But what about the efficiency of such a method? Our approach proposes an answer by introducing on-line coaching. In learning process, learners may need guidance to help them…

Classroom quality measures, such as the Early Childhood Environment Rating Scale, Revised (ECERS-R), are widely used in research, practice, and policy. Increasingly, these uses have been for purposes not originally intended, such as contributing to consequential policy decisions. The current study adds to recent evidence of problems with the…

With roots in student-centered pedagogies that go back at least to the 1900s, personalized learning meets students' learning goals, needs, context, and pace while incorporating their interests and preferences. Personalized learning in today's classroom depends upon and creates an abundance of rich student data, which simultaneously fosters new…

More and more domains such as industry, sport, medicine, Human Computer Interaction (HCI) and education analyze user motions to observe human behavior, follow and predict its action, intention and emotion, to interact with computer systems and enhance user experience in Virtual (VR) and Augmented Reality (AR). In the context of human learning of…

Analysis of log data generated by online educational systems is an essential task to better the educational systems and increase our understanding of how students learn. In this study we investigate previously unseen data from Clio Online, the largest provider of digital learning content for primary schools in Denmark. We consider data for 14,810…

Reported percentages of young children who engage in challenging behavior is estimated between 10% and 20%. This percentage is even greater for children with disabilities. Not surprisingly, when young children with challenging behavior do not receive services and supports early on, they can experience negative social and emotional outcomes long…

This study explores the ways in which local students experience housing instability--and how cross-sector strategies can better identify and serve these students. The report accompanying this brief considers a rich set of school administrative data, collected over the course of three school years prior to the COVID-19 pandemic: 2016-17 through…

Crowdsourcing is an important tool for collecting spatio-temporal data, which has various applications in education. The objectives of this study were to develop and test a laboratory exercise on soil erosion by water and field data crowdsourcing in an online introductory soil science course (FNR 2040: Soil Information Systems) at Clemson…

Institutional researchers are often tasked with assessing why college-wide initiatives succeed or fail. This can be a difficult task: researchers need to discriminate between multiple feasible explanations, work with limited data, and produce compelling narratives. Process tracing is a qualitative methodology that enables researchers to make valid…

Learning analytics involve the process of gathering data about students and using the information to intervene in their lives to improve learning and institutional outcomes. Many academic libraries now participate in learning analytics. However, such practices raise privacy and intellectual freedom issues due to sensitive data practices. But, few…

With technological advances, distance education has been frequently discussed in recent years. The learning environments used in this course usually generates a great deal of data because of the large number of students and the various tasks involving their interaction. In order to facilitate the analysis of the data, the authors researched to…

This study investigated the performance of four widely used data-collection designs in detecting test-mode effects (i.e., computer-based versus paper-based testing). The experimental conditions included four data-collection designs, two test-administration modes, and the availability of an anchor assessment. The test-level and item-level results…