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…

The integration of generative artificial intelligence (AI) tools, such as ChatGPT and DALL-E, presents transformative opportunities and challenges for K-12 education. This mixed-methods study investigates educators' perceptions, familiarity, and preparedness for AI adoption, as well as institutional strategies and barriers. Quantitative findings…

This study explores the challenges of implementing computerized adaptive testing (CAT) for mathematics assessment among prospective elementary school teachers in Indonesia. It aims to describe (1) assessment practices of mathematics lecturers and (2) challenges in adopting CAT. Using a qualitative phenomenological approach, data were collected…

Despite the fact that technologies are commonly implemented in language classrooms and widely incorporated by students in their language learning, research on English learners' actual practices of technologies, especially the use outside the classroom, has been mostly limited. The aim of this study was to explore undergraduate English language…

Entrepreneurial and innovative higher education institutions of the 21st century have become the driving forces of social development, economic growth and global competitiveness by improving human capital through the educational and instructional services they offer, producing qualified scientific information through the scientific research they…

International schools aim to provide students with a multicultural experience, equipping students with a global-minded education to succeed in future higher educational or professional careers abroad. For students to succeed in international schools, native and international staff members should have a well-rounded knowledge of professional…

Multilevel modeling is a statistical approach to analyze hierarchical data, which consist of individual observations nested within clusters. Bayesian methods is a well-known, sometimes better, alternative of Maximum likelihood methods for fitting multilevel models. Lack of user-friendly and computationally efficient software packages or programs…

Students who have graduated from high schools across the EU member states can choose from a wide variety of study programs and universities at which to pursue their degree studies. Each combination of a university and study program is unique, which further complicates student choice. Lack of information transparency regarding the unique…

The OCLC Research report "Library Collaboration as a Strategic Choice: Evaluating Options for Acquiring Capacity" explores library collaboration as a key strategy for academic libraries in acquiring needed capacity, but also contextualizes it as one sourcing approach among a range of options available to libraries. The decision for…

Federal Student Aid (FSA), a principal office of the United States (U.S.) Department of Education (Department), is required by law to produce an annual report, which details the organization's fiscal year financial and program performance. The Federal Student Aid FY 2024 Annual Report (Annual Report) is a comprehensive document that provides an…

This paper addresses a common challenge with computational cognitive models: identifying parameter values that are both theoretically plausible and generate predictions that match well with empirical data. While computational models can offer deep explanations of cognition, they are computationally complex and often out of reach of traditional…

Procrastination is common in the collegiate sphere. However, procrastination is often stigmatized as causing college students to be unsuccessful. Most students have been told not to procrastinate, but they continue to do so, implying that student procrastination will not stop. Yet, significant discontinuities exist between emerging procrastination…

Calibration of an item bank for computer adaptive testing requires substantial resources. In this study, we investigated whether the efficiency of calibration under the Rasch model could be enhanced by improving the match between item difficulty and student ability. We introduced targeted multistage calibration designs, a design type that…

The advantages of administering an adaptive test battery, a collection of multiple adaptive subtests that are specifically tailored to examinees' abilities, include shortening the subtest length and maintaining the accuracy of individual subtest scores. The test battery can incorporate a range of subjects, though this study focused primarily on…

The purpose of this research was to investigate whether a mid-sized public university could create a more coherent and efficient undergraduate curriculum over a short period of time with minimal resources. We pursued this question using an action research design. Using a curriculum model, we developed that focused on foundational, breadth, and…