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Scull, W. Reed; Perkins, Mark Andrew; Carrier, Jonathan W.; Barber, Michael – Community College Journal of Research and Practice, 2023
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…
Descriptors: Community Colleges, Researchers, Knowledge Level, Artificial Intelligence
Bünyami Kayali; Mehmet Yavuz; Sener Balat; Mücahit Çalisan – Australasian Journal of Educational Technology, 2023
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…
Descriptors: Student Experience, Artificial Intelligence, Natural Language Processing, Electronic Learning
Paul A. Hill; Lendel K. Narine; Jordan L. Rushton; Clint J. Reid – Journal of Human Sciences & Extension, 2024
The AI Training Series was Washington County, Utah's first community education offering on the topic of generative AI (GenAI). The training provided community members with an overview of the capabilities and advantages of GenAI and assisted them in making informed technology adoption decisions. Utah State University Extension partnered with Dixie…
Descriptors: Artificial Intelligence, Partnerships in Education, Labor Force Development, Community Education
Olney, Andrew M. – Grantee Submission, 2021
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…
Descriptors: Feedback (Response), Error Patterns, Artificial Intelligence, Test Format
Yanagiura, Takeshi – Community College Research Center, Teachers College, Columbia University, 2020
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…
Descriptors: Community Colleges, Man Machine Systems, Artificial Intelligence, Prediction
Pelletier, Kathe; McCormack, Mark; Reeves, Jamie; Robert, Jenay; Arbino, Nichole – EDUCAUSE, 2022
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…
Descriptors: Higher Education, Educational Trends, COVID-19, Pandemics
Brown, Malcolm; McCormack, Mark; Reeves, Jamie; Brooks, D. Christopher; Grajek, Susan – EDUCAUSE, 2020
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…
Descriptors: Higher Education, Educational Technology, Technology Integration, Technology Uses in Education
Pelletier, Kathe; Brown, Malcolm; Brooks, D. Christopher; McCormack, Mark; Reeves, Jamie; Arbino, Nichole – EDUCAUSE, 2021
This report profiles key trends and emerging technologies and practices shaping the future of teaching and learning and envisions a number of scenarios and implications for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape. Starting in 2020, COVID-19 pandemic has…
Descriptors: Higher Education, Educational Trends, Educational Technology, Technology Integration