There is steadily growing consensus around a critical issue in our nation's higher education system: the need to modernize our postsecondary data infrastructure. Recognizing that building the Student-Level Data Network (SLDN) outlined in pending federal legislation will require the National Center for Education Statistics (NCES) to make key…

This paper illustrates similarities and differences between two international surveys that assess adults' skills: the Programme for the International Assessment of Adult Competencies (PIAAC) and the Skills Towards Employment and Productivity (STEP) survey. In particular, the paper highlights the issues that can arise for researchers interested to…

The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…

This guide describes key steps for developing a well-thought-out plan for evaluating a State Systemic Improvement Plan (SSIP). The guide provides considerations for how to incorporate each step into an evaluation plan, as well as a series of worksheets that correspond to each step and can be used to facilitate the planning process. The guide,…

Building on the Center for American Progress' workforce equity framework, which proposes creating and filling quality jobs with career options for all workers, this report proposes changing workforce accountability standards in order to drive labor markets toward quality job creation. It argues for restructuring workforce accountability from its…

Restraint and seclusion are two crisis intervention practices that educators employ to manage students who display escalated behavior. These procedures, however, are high-risk, intensive practices that have resulted in psychological trauma, physical injury, and even death. While there are no federal laws in place on this topic, the U.S. Department…

This study aims to analyse the impact of demographic and educational factors on in digital upskilling. We address the relationship between digital skills, critical thinking skills and the student learning experience in courses with embedded upskilling programs. Statistical analysis and exploratory research are used to analyse the data collected by…

This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…

The Accountability Plan is an annual report that is closely aligned with the Board of Governors' 2025 System Strategic Plan. This report enhances the System's commitment to accountability and strategic planning by fostering greater coordination between institutional administrators, University Boards of Trustees and the Board of Governors regarding…

This Intersegmental Data Partnerships Resource Guide, and the accompanying PACE policy brief (see ED591080), are products of a year-long qualitative research project exploring promising practices in data sharing and data use among intersegmental partnerships throughout California. This Resource Guide provides institutions engaged in intersegmental…

The present study evaluated the effects of web-based training on Spanish pre-service and in-service teacher knowledge and implicit beliefs on learning to write. A sample of pre-service teachers and in-service teachers from Mexico, Guatemala, Ecuador, Colombia, and Spain participated in the online course. Findings suggest that teachers may improve…

In surveys, proportions of individuals self-reporting as bisexual and homosexual are likely to suffer from misreports or refusal to answer when directly questioned. For more reliable information, the randomized response technique is often used. Therefore, to reduce social desirability bias, a multi-level randomized response technique has been used…

In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…

Organizational patterns can serve as a teaching strategy for instructors and as a learning tool for students to develop their expository writing skills, which are commonly required for assignments (for example, laboratory reports and research papers) in Food Science courses and in their future careers. The article discusses the importance of…

Increased value is placed on students having real-world learning experiences. Application classes such as Digital Marketing provide the opportunity for students to achieve this experience. Employers place value with employees having both hard skills and soft skills. To support learning both hard and soft skills, the Enterprise Marketing Variation…