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Full-Text Articles in Education
Optimizing Adult Learner Success: Applying Random Forest Classifier In Higher Education Predictive Analytics, Emily Barnes, James Hutson, Karriem Perry
Optimizing Adult Learner Success: Applying Random Forest Classifier In Higher Education Predictive Analytics, Emily Barnes, James Hutson, Karriem Perry
Faculty Scholarship
This study examines the application of the Random Forest Classifier (RF) model in predicting academic success among adult learners in higher education. It focuses on evaluating the model's effectiveness using key statistical measures like accuracy, precision, recall, and F1 score across a comprehensive dataset from 2013–14 to 2021–22, which includes variables such as age, ethnicity, gender, Pell Grant eligibility, and academic performance metrics. The research highlights the RF model's capability to handle large datasets with varying data types and demonstrates its superiority over traditional regression models in predictive accuracy. Through an iterative process, the study refines the RF model to …
Ethical Imperatives And Challenges: Review Of The Use Of Machine Learning For Predictive Analytics In Higher Education, Emily Barnes, James Hutson, Karriem Perry
Ethical Imperatives And Challenges: Review Of The Use Of Machine Learning For Predictive Analytics In Higher Education, Emily Barnes, James Hutson, Karriem Perry
Faculty Scholarship
The escalating integration of machine learning (ML) in higher education necessitates a critical examination of its ethical implications. This article conducts a comprehensive review of the application of ML for predictive analytics within higher education institutions (HEIs), emphasizing the technology's potential to enhance student outcomes and operational efficiency. The study identifies significant ethical concerns, such as data privacy, informed consent, transparency, and accountability, that arise from the use of ML. Through a detailed analysis of current practices, this review underscores the need for HEIs to develop robust ethical frameworks and technological infrastructures to navigate these challenges effectively. The findings reveal …
Bridging The Divide: Improving Digital Humanities Pedagogy By Networking Higher Education And Secondary Education Faculty In St. Louis, Geremy Carnes, Margaret K. Smith
Bridging The Divide: Improving Digital Humanities Pedagogy By Networking Higher Education And Secondary Education Faculty In St. Louis, Geremy Carnes, Margaret K. Smith
Faculty Scholarship
In 2021, faculty at Lindenwood University and Southern Illinois University Edwardsville (SIUE) led the formation of a Saint Louis Digital Humanities (STL DH) Network of faculty and scholars at area universities, schools, and cultural institutions.1 The Lindenwood and SIUE campuses bookend the St. Louis metro area, a region whose strong geospatial presence offers fruitful opportunities for digital humanities (DH) education but which also suffers from long, deeply ingrained economic and racial segregation. While other regional DH networks exist, the STL DH Network is unique in taking undergraduate education and secondary education— and particularly equitable access to education—as its chief focus. …