The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…

In many collegiate level statistics courses, the focus of the learning outcomes is often on the analysis of data after it has been collected. Students are provided with clean data sets from previous studies to practice statistical analysis, but receive little to no application as to the amount of time and effort that goes in to collecting good…

Overview and Problem of Practice: The evaluation of student learning in higher education is of interest to many stakeholders including students, faculty, higher education administrators, employers, governmental entities, and accreditors. Despite this interest, many institutions struggle to successfully facilitate the process of evaluating student…

This article presents a mathematical modeling activity for students related to the process of memorization in which students collect their own data to drive their model development, parameterization, and validation. Engaging in the data collection gives them insight to critique and evaluate various models. This task is a low-floor high ceiling…

We cannot continue to ask students -- and their families -- to make one of the largest and most important investments of their lives without clearer information about what their time and money will yield. Fortunately, support is broad across the country and across the political spectrum for a federal student-level data network (SLDN), which would…

Survey methodology is the dominant approach among universities in the United States for reporting employment outcomes for recent graduates. However, past studies have shown that survey methodology may yield upwardly biased results, which can result in overreporting of employment rates and salary outcomes. This case study describes the development…

The purpose of this brief is to provide school-level examples of how early college practitioners are collecting and using data to improve their practices. Examples three and four are school-level data from two early college partnerships: the MetroWest CPC (Framingham, Milford, Waltham), and Lawrence. The brief begins, however, with the national…

As support continues to grow across the country and across the political spectrum for the federal student-level data network (SLDN) proposed in the College Transparency Act (CTA), IHEP partnered with AEM Education Services, with input from RTI International, to further build out a roadmap to support the implementation of the SLDN. "Frameworks…

The paper critiques key international teaching excellence and higher education outcomes frameworks for their lack of attention to epistemic equality. It subsequently argues that adequate 'datafication' of these frameworks, to demonstrate the extent to which universities offer teaching experiences which promote intellectual equivalence of all…

Using a constructivist approach to teacher education, the present study compared the learning outcomes of students in two child development courses infused with instruction in how early education and childcare policy is formed, implemented, and applied. The intervention course, however, included a community-based, semester-long early education and…

Implementing institution-wide, systemic change is typically a long and often challenging task for college leaders to undertake. Because each institution is different, the combination of internal and external factors that drive institutional change can vary greatly from college to college, and from moment to moment. Achieving the Dream (ATD), which…

In recent years, European universities and other stakeholders have taken interest in career tracking in doctoral education as one of the ways to better understand the potential professional future of doctoral candidates. This report reflects the outcomes of the work of the European University Association-Council for Doctoral Education (EUA-CDE)…

Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…

This report describes the design, methods, and results of the 2016/20 Baccalaureate and Beyond Longitudinal Study (B&B:16/20) conducted by the U.S. Department of Education's National Center for Education Statistics (NCES). It is the second follow-up with a cohort of bachelor's degree recipients originally identified during the 2015-16 National…

This report reviews the outcomes of Erasmus+ projects promoting inclusion in education, implemented between 2014 and 2020. Starting from an inventory of 120 Erasmus+ projects labelled as 'good practice' in the Erasmus+ projects database, 15 projects were selected for further examination as case studies. The report summarises the main findings of…