Proper institutional planning requires accurate enrollment forecasts. This is especially true in the community college context given open enrollment policies and reliance on public funds. Despite the importance of this task, enrollment forecasts are relatively disconnected from theoretical advances in the study of retention and enrollment. In this…

This quantitative, correlational-predictive study applied standard multiple regression to determine if reflective-analytic cognitive style can predict media accuracy discernment in community college students recruited from two Pacific region colleges (N = 100). The Cognitive Reflection Test (CRT), Matching Familiar Figures Test (MFFT), and a Media…

During the Fall 2017 semester, staff at the Hudson County Community College (HCCC), Library began to notice that many books listed as available in the catalog were often not being found on the shelves when patrons attempted to retrieve them. This situation puzzled library leadership because HCCC had recently conducted an inventory and removed all…

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…

Constructed response (CR) assessments allow students to demonstrate understanding of complex topics and provide teachers with deeper insight into student thinking. Computer scoring models (CSMs) remove the barrier of increased time and effort, making CR more accessible. As CSMs are commonly created using responses from research-intensive colleges…

This qualitative descriptive study aimed to explore how community college students describe their motivations and reasoning when learning about controversial science topics at a southwestern community college. Anti-science attitudes have been increasing globally, but is not fully understood. Two research questions were developed using the theory…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Current composition practice relies on a decades-old summary of research concluding that a focus on grammar in students' writing is useless, or even harmful. Conversely, hundreds of recent studies from the fields of second-language writing and applied linguistics claim to provide evidence of the benefits to providing feedback on grammar in…

Over half of community college students place into developmental education, resulting in significant financial costs. We extend previous research demonstrating that using placement tests to assign students into developmental courses results in frequent misplacement. We use Florida data to explore the extent to which students are misplaced into…

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…

Community colleges and open-access, four-year colleges admit nearly everyone who applies and enroll students with a wide range of skills. Many of these colleges run developmental education programs for students who they determine are underprepared for college-level courses. More than two-thirds of community college students are assigned to…

Over half of community college students place into developmental education, resulting in significant financial costs. We extend previous research demonstrating that using placement tests to assign students into developmental courses results in frequent misplacement. We use Florida data to explore the extent to which students are misplaced into…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Twenty adult ESL students at a community college participated in a semester reading intervention. Participants received a modified extensive reading treatment, and some participants received an additional repeated reading direct instruction reading intervention. The author examined the impact of the reading interventions on ESL students' reading…

Community colleges across the United States are adopting multiple measures policies that place students into college-level or developmental coursework based on more than one indicator of student ability. Historically, community colleges relied on high-stakes tests for student placement but recent studies have exposed these as unreliable indicators…