Abstract
Within the Engaged Humanities classrooms, applied learning encourages students to strengthen their transferrable and life skills learned within the class through application outside of it. These skills, such as critical thinking, teamwork, problem solving, communication, and adaptability, are essential for career readiness, success, and happiness. Outside of the classroom curriculum and within specialized programming, however, the skills remain equally essentially but potentially less developed: without an emphasis in developing indirect life skills, university programs may focus on the literal tasks at hand without due consideration for the deep learning skills that should go alongside them. Loyola Marymount University’s new academic area, Research, Access, and Academic Engagement, seeks to unite co-curricular programming and advising, such as faculty-mentored student research, first-generation and research student learning communities, and McNair Scholars Program and Student Support Services, with the applied and deep learning found in an Engaged English and Humanities classrooms. It does so not only through traditional methods for strengthening high-impact practices but also through a consistent focus on belonging and thriving by emphasizing collaboration and community, both within student units, more comprehensive university settings, and larger publics (such as the city of Los Angeles, where LMU is situated, and the national TRIO McNair community). This approach encourages engaged and deep learning on a variety of stages, applying classroom lessons to a variety of communities, both collegial and beyond, and encouraging a more nuanced conversation of what it means and feels like to belong and thrive in a multitude of environments.
Presenters
Elizabeth WimberlySenior Director, Research, Access, and Academic Engagement, Loyola Marymount University, California, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Past and Present in the Humanistic Education
KEYWORDS
Engaged English, Academic Programming, Deep Learning, Applied Learning, Student Research
