Recently, research has highlighted the potential of Massive Open Online Courses (MOOCs) for education, as well as their drawbacks, which are well known. Several studies state that the main limitations of the MOOCs are low completion and high dropout rates of participants. However, MOOCs suffer also from the lack of participant engagement,…

The present study uses a text data mining approach to automatically discover learner interests in open learning environments. We propose a method to construct learner interests automatically from the combination of learner generated content and their dynamic interactions with other learning resources. We develop a learner-topic model to discover…

Over the past 20 years, many colleges and universities have made significant progress in building data warehouses and implementing business intelligence tools to provide better access to administrative data that were previously locked away in enterprise systems. However, the data architectures from the 1990s and 2000s are aging as new technologies…

The study of earthquakes can help students build connections between theoretical analysis and real-world applications. However, units on earthquakes typically struggle to bridge that gap between theory and application. Traditional class activities focus on measuring earthquakes, such as triangulating epicenters by analyzing P and S wave arrival…

To evaluate interim progress toward the State-identified Measurable Result (SIMR), states require access to high-quality data from local education agencies (LEAs) and early intervention service providers. In a review of 2017 Phase III State Systemic Improvement Plans (SSIP), 43 Part C states noted limitations or concerns related to data and…

The expansion of big data and analytics has led to the diffusion of institutional research functions across campus departments. In this new environment, IR professionals expect to lead and coordinate various institutional analyses. This article presents a four-quadrant framework to facilitate the dynamics between data analysis and decision-making.

Education researchers are increasingly interested in applying data mining approaches, but to date, there has been no overarching exposition of their methodological advantages and disadvantages to the field. This is partly because the use of data mining in education research is relatively new, so its value and consequences are not yet well…

In this article, the authors report on a tested workload intervention, faculty work activity dashboards, to enhance transparency and reduce ambiguity. This intervention is part of the Faculty Workload and Rewards Project (FWRP), a National Science Foundation-funded, action-research project designed to improve equity in how faculty workload is…

Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…

IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…

Most public colleges and universities rely heavily on state financial support. As state budgets have tightened in recent decades, appropriations for higher education have declined substantially. Despite concerns expressed by policymakers and scholars that the declines in state support have reduced the return to education investment for public…

Evolution of technology and its tremendous use in education has changed the ways of educational services in higher education around the world. There is worldwide access to higher education through virtual learning environments. This is a new avenue for 21st century education and within a short time, it has been able to establish new culture of…

We address the issue of consumer privacy against the backdrop of the national priority of maintaining global leadership in artificial intelligence, the ongoing research in Artificial Cognitive Assistants, and the explosive growth in the development and application of Voice Activated Personal Assistants (VAPAs) such as Alexa and Siri, spurred on by…

Multi-Tiered System of Supports (MTSS) is a useful framework designed to address diverse needs of students and has great potential for twice-exceptional (2e) students, or gifted students with disabilities. By integrating academic, behavioral, social-emotional, and collaborative components, MTSS provides targeted interventions through its tiered…

Integrating gifted education into a Multi-Tiered System of Supports (MTSS) provides a systemic approach to addressing the academic and social-emotional needs of high-ability learners (HAL) and twice-exceptional (2E) students. This article examines one state's initiative to align gifted services with the existing MTSS framework through shared…