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Caleb L. Fowler Jr. – ProQuest LLC, 2023
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…
Descriptors: Community Colleges, Change Agents, School Culture, Institutional Characteristics
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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
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Guth, Douglas J. – Community College Journal, 2022
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…
Descriptors: Community Colleges, Artificial Intelligence, Computer Science Education, Labor Force Development
Steven R. Frechette – ProQuest LLC, 2024
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…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
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
Ferris, Kira Davad – ProQuest LLC, 2019
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…
Descriptors: Laws, Ethics, Robotics, Computer Science Education
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
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Pierce, Dennis – Community College Journal, 2020
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…
Descriptors: Community Colleges, College Role, Educational Needs, Educational Change
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Yanagiura, Takeshi – Community College Review, 2023
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…
Descriptors: Community Colleges, Community College Students, Educational Indicators, Outcomes of Education
Cameron Redden – ProQuest LLC, 2024
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…
Descriptors: Best Practices, Artificial Intelligence, Technology Integration, Case Studies
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
Altstadt, David – Jobs for the Future, 2011
The U.S. economy will emerge from the Great Recession radically transformed from what it was a generation ago. Changes are afoot affecting which occupations and industry sectors will produce employment growth, as well as what education credentials, competencies, and skills will be required to do those jobs. Community colleges already take steps to…
Descriptors: Community Colleges, Labor Market, Occupational Information, Demand Occupations