This article dives into the reality of how, since 2023, generative artificial intelligence (AI) has emerged as an inescapable force in education and highlights the work of community college faculty in use of AI in teaching and learning. ChatGPT is an example of a relatively new and rapidly evolving aspect of AI research, the large language model.…

It is becoming ever more challenging to address the changing landscape faced by California Community Colleges. Change agents strive to implement needed interventions but are often disappointed in the outcomes. However, the literature shows that the odds of successful change increase when interventions align with the organization's culture. The…

Given pressing enrollment, retention and completion issues at community colleges, the use of data analytic tools has gained more relevance for practitioners and scholars. Among these tools is machine learning, but its use is relatively new to community colleges and institutional research practice. This exploratory qualitative study examined a…

Digital technologies are an integral facet of human existence, changing how humans find information, the way humans communicate and even human behavior. This transition applies to education as well, with the continued growth of artificial intelligence (AI) reshaping the higher education landscape at two- and four-year institutions alike. AI is…

Purpose: This study will evaluate the organizational effectiveness of an artificial intelligence (AI)/machine learning (ML) recommender system at a higher education institution. It will determine the positive or negative net benefits (i.e., organizational effectiveness) of utilizing the D&M ISSM. Background: Identifying the value and efficacy…

This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…

The purpose of this study was to determine university students' experiences with the use of ChatGPT in online courses. The sample consisted of 84 associate degree students from a state university in Turkey. A multi-method approach was used in the study. Although quantitative data were collected using the Chatbot Usability Scale, qualitative data…

In contrast to simple feedback, which provides students with the correct answer, elaborated feedback provides an explanation of the correct answer with respect to the student's error. Elaborated feedback is thus a challenge for AI in education systems because it requires dynamic explanations, which traditionally require logical reasoning and…

This study was an examination of the systemization of, and law and ethics concepts incorporated into, robotics and computer science courses that offered artificial intelligence as part of the curriculum of selected community colleges. The researcher completed a mixed-methods study using surveys and document analysis. The first area of…

Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…

Fueled by exponential advances in technology, the world will change more in the next few decades than in all of human history, futurist Thomas Frey says. Community college leaders will have to think beyond traditional structures such as semester-length courses and two-year degree programs, designing micro-learning experiences that better match…

Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…

Artificial intelligence (AI) has demonstrated effectiveness in various educational contexts, offering adaptive evaluation mechanisms, personalized learning experiences, and increased learner engagement (Holstein et al., 2019; Woolf, 2019). This study examined the experiences of community college faculty incorporating AI technologies in teaching…

Two years into the COVID-19 pandemic, much still feels the same, though in some important ways thinking and behaviors may be shifting in anticipation of longer-term changes in the ways lives are structured and how places and spaces are shared. In higher education, these shifts may reflect an evolution from short-term "emergency" or…

In assuming ownership of the Horizon Report, EDUCAUSE recognized the challenges of anticipating the future. The authors have, in this first major revision of the report's methodology, structure, and content, striven to break the mold of the classic Horizon Report without losing its essential purpose. The report begins with a scan of the current…