Gathering labeled data in educational data mining (EDM) is a time and cost intensive task. However, the amount of available training data directly influences the quality of predictive models. Unlabeled data, on the other hand, is readily available in high volumes from intelligent tutoring systems and massive open online courses. In this paper, we…

Many states struggle with collecting reliable and valid state-level data that can be leveraged to maximize the use of funds. This is particularly challenging when providing early intervention services in states where Medicaid uses clinic rates that are lower than the natural environment rates covered by state or federal Part C funds. This state…

Currently, much research on cognitive diagnostic assessment (CDA) focuses on the development of statistical models estimating individual students' attribute profiles. However, little is known about how to communicate model-generated statistical results to stakeholders, and how to translate formatively diagnostic information into teaching…

Business schools continuously improve their processes and program assessment activities, but fall short in achieving faculty's awareness of process steps and disseminating results to inform and trigger continuous improvement actions. The assessment process of the Craig School of Business at California State University, Fresno had worked well. It…

Universities are under pressure to produce work-ready graduates. This study analyzed 130 job advertisements to identify skills required by environmental science employers in Australia. For degree-related criteria, the most frequently required were content knowledge, a tertiary qualification and experience. Other desired skills were an…

Amid the pandemic of coronavirus diseases, virtual conferences have become an alternative way to maintain the prosperity of the research community. This study investigated attendees' participatory behavior in a virtual academic conference (TWELF2020, Taiwan) and studied the interrelationship among their mastery experience, competence, and…

Fredrich Froebel was a scientist, both in instinct and in training, and his life coincided with an important and dynamic period of scientific growth. I take this opportunity to delve both into some history and futurology to examine the heritage and legacy of his work. The usual of interpolation is of reading into data: where there exist some…

Since 2016, the Advanced Distributed Learning (ADL) Initiative has been developing the Total Learning Architecture (TLA), a 4-pillar data strategy for managing lifelong learning. Each pillar describes a type of learning-related data that needs to be captured, managed, and shared across an organization. Each data pillar is built on a set of…

School climate has received considerable attention in the literature and educational policy as a potential target for school improvement and school safety efforts. This paper provides a critical review and synthesis of the literature on school climate, with a particular focus on topics related to measurement, data collection, analysis, as well as…

This paper discusses elementary, and secondary (K-12) teachers' perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12 science,…

The current study uncovers secondary school students' actual use of text-learning strategies during an individual learning task by means of a concurrent self-reported thinking aloud procedure. Think-aloud data of 51 participants with different learning strategy profiles, distinguished based on a retrospective self-report questionnaire (i.e., 15…

The choice of a social network analysis approach for the exploration of relationships in educational settings provides the opportunity for a unique perspective about informal networks of relationships. Rather than considering only the attributes of individuals or organizations, social network analysis affords the opportunity to also examine the…

Learning analytics (LA) incorporates analyzing cognitive, social and emotional processes in learning scenarios to make informed decisions regarding instructional design and delivery. Research has highlighted important roles that emotions play in learning. We have extended this field of research by exploring the role of emotions in a relatively…

A central challenge of introductory statistics is the development of curricula that not only serve diverse students, but also leave them wanting more. To evaluate the potential impact of a multidisciplinary, project-based introductory statistics course, students' future course decisions were compared against traditional statistics courses using…

Previous studies on the effectiveness of virtual laboratories for learning have shown inconsistent results over the past decade. The purpose of this research was to explore the effects of a virtual laboratory and meta-cognitive scaffolding on students' data modeling competences. A quasi-experimental design was used. Three classes of eighth graders…