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…

There has been considerable investment in pre-college educational interventions for all areas of STEM (including computer science). The goal of many of these initiatives is to engage and interest students early in their educational career. In this study, a systematic literature review was undertaken to determine the demographic and program data…

This exploratory multi-case study investigates the types of teacher performance data principals consider and collect when evaluating teachers. Data come from public school principals (N = 10) in the U.S. state of Michigan and includes: interviews (n = 30), observations (n = 20), and artifacts collected in 2016 and 2017. Additionally, specific…

Digital data are transforming higher education (HE) to be more student-focused and metrics-centred. In the UK, capturing detailed data about students has become a government priority, with an emphasis on using student data to measure, compare and assess university performance. The purpose of this paper is to examine the governmental and commercial…

The purpose of this study was to use an action research approach to improve family-school partnerships within one rural high school. The action research process occurred over three school years and involved multiple cycles of investigation. Each cycle of investigation involved an ongoing, iterative process of reflecting, planning, acting, and…

To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…

Question classification is a key point in many applications, such as Question Answering (QA, e.g., Yahoo! Answers), Information Retrieval (IR, e.g., Google search engine), and E-learning systems (e.g., Bloom's tax. classifiers). This paper aims to carry out a systematic review of the literature on automatic question classifiers and the technology…