Several studies have indicated that stakeholder engagement could ensure the successful adoption of learning analytics (LA). Considering that researchers and tech developers may not be aware of how LA tools can derive meaningful and actionable information for everyday use, these studies suggest that participatory approaches based on human-centred…

As scrutiny increases on higher education to verify the value of a degree from a variety of constituents including parents, students and legislators, institutions of higher education must ensure students are receiving a sound education that meets their goals. Those primarily charged with doing so are faculty who may be content experts, but lack…

The ethics surrounding the development and deployment of generative artificial intelligence (genAI) is an important topic as institutions of higher education adopt the technology for educational purposes. Concurrently, stakeholders from various organizations have reviewed the literature about the ethics of genAI and proposed frameworks about it.…

This article is the first installment of a new column in "Change: The Magazine of Higher Learning" which will explore current gaps, challenges, and trends in global higher education, as well as their implications for college and university leaders. In this issue, the author argues for taking into account data about international higher…

There is considerable focus on finding effective governance approaches. This article examines experiences with using more collaborative approaches to developing new governance instruments in the context of higher education. The specific empirical case focuses on the introduction of multi-annual performance agreements between the ministry and the…

The federal government is the lender for the current student loan system, but replacing it with a system that harnesses the advantages of a marketplace of private lending would save $212 billion over the next 10 years while also benefiting students by helping them avoid risky educational choices. Due to ongoing court cases and upcoming regulatory…

This work explores the impact of crises, particularly the COVID-19 pandemic, on strategic planning processes in higher education institutions (HEIs). It investigates how crises affect strategic planning, implementation, and achievement of performance metrics outlined in institutional strategic plans. The study employs mixed-methods research to…

Providing a sustainable distance education is paramouth of importance as a highly complex process requieing the involvement of various stakeholders. The purpose of this study is to investigate the criteria affecting the sustainability of distance education (DE) in higher education institutions, and to understand the differences in several internal…

Research on higher education policy in the United States often seeks to understand commonalities across state contexts to understand broader concepts influencing decision-making. However, this minimises the importance of abstract and distinct factors impacting policy processes within a state. While researchers in other fields attribute these…

This study aims to investigate the characteristics of students who switch versus those who do not switch when they transition from upper secondary to higher education. The data from 1338 students randomly selected from 21 HEIs in Cambodia in 2020 found that upper secondary school students are more likely than not to switch academic majors when…

Professional staff, non-faculty employees who support the work of faculty and students, are one of the fastest-growing segments in the higher education workforce (Nadler et al., 2010; Mousavizadeh, 2021). Despite their expertise in a myriad of functional areas on a college campus, staff are not privileged as participants in the shared governance…

This chapter explores the potential of integrating conversational AI tools such as ChatGPT with data visualization (DV) tools such as Power BI in higher education settings. A brief history of chatbots is summarized and challenges and opportunities in higher education are outlined. The highlights include AI's prospects for enhancing data-informed…

Artificial intelligence in higher education is becoming more prevalent as it promises improvements and acceleration of administrative processes concerning student support, aiming for increasing student success and graduation rates. For instance, Academic Performance Prediction (APP) provides individual feedback and serves as the foundation for…

This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

Purpose: The study aims to investigate the state of higher education (HE) leadership research after the intensified focus on teaching and learning (TL) in academia. Design/methodology/approach: The authors clarify the use of key concepts in English-medium empirical journal articles published between 2017 and 2021 by analysing 64 publications…