Digital Commons Network^™

My Mother's Body, Anika N. Jensen

SURGE

On Friday, April 20, 2018, Gettysburg College students organized a campus-wide walkout to protest all forms of gun violence as part of Gettysburg College’s first annual Peace and Justice Week. Over the next several days, SURGE published the poems and personal testimonies of the student speakers who participated in the event.

Begin in sukhasa–easy pose–with your legs crossed the way children used to sit during show and tell before they had to worry about what position gives them enough time to stand and scramble toward the door when the shooting starts. [excerpt]

A New Vision Of Liberal Education: The Good Of The Unexamined Life, Daniel R. Denicola

Philosophy Faculty Publications

Alistair Miller’s book, A New Vision of Liberal Education, is a dilation of his doctoral thesis, but it is enormously ambitious in aim: “My specific aim in this book is to explore whether aspects of the two traditions [of Enlightenment and Aristotelian ethics] might be synthesised in the concrete form of a liberal-humanist education” (NVLE, 11). Indeed, the arc of Miller’s argument ranges from these contrasting traditions of moral philosophy, through alternate versions of liberal education, to a proposal for curricular content. The book is well researched and proceeds dialectically, as Miller sifts through scholarship on liberal education, moral education, …

Distance Education: Methods Of Education For Students In Remote Areas Of China, Emily R. Kaminsky

Student Publications

This paper illustrates that distance education is a useful mechanism of education for students living in remote areas or those who desire a native English-speaking teacher to improve their own language skills. However, it will also show the ways in which distance education is not the perfect solution. This paper will overall find that distance education improves future economic opportunities, causes changes in teacher/student power dynamics, and does, to some extent, increase access to schooling for children living in rural, remote areas.

Books Or Baskets: Compromising The Education And Future Of Black Student-Athletes, Jessica L. Laemle

Student Publications

In this paper, I discuss the challenges and inequalities that Black male athletes face while playing college sports, particularly basketball and football at PWIs. I explore how this focus on sports pushes these individuals to focus on athletics rather than academics, as they are there on scholarships and are focused primarily on representing their schools and becoming professional athletes. I discuss multiple factors that play into these student-athletes' idea that athletics are more important than academics. Using multiple studies, I give information and statistics on the outcomes of these athletes. I also provide limitations of the studies I use so …

Model Ai Assignments 2018, Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth

Computer Science Faculty Publications

The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning experience, we here present abstracts of seven AI assignments from the 2018 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs. Assignment specifications and supporting resources may be found at http://modelai.gettysburg.edu.

Ai Education Matters: Teaching Hidden Markov Models, Todd W. Neller

Computer Science Faculty Publications

In this column, we share resources for learning about and teaching Hidden Markov Models (HMMs). HMMs find many important applications in temporal pattern recognition tasks such as speech/handwriting/gesture recognition and robot localization. In such domains, we may have a finite state machine model with known state transition probabilities, state output probabilities, and state outputs, but lack knowledge of the states generating such outputs. HMMs are useful in framing problems where external sequential evidence is used to derive underlying state information (e.g. intended words and gestures). [excerpt]

Ai Education Matters: Lessons From A Kaggle Click-Through Rate Prediction Competition, Todd W. Neller

Computer Science Faculty Publications

In this column, we will look at a particular Kaggle.com click-through rate (CTR) prediction competition, observe what the winning entries teach about this part of the machine learning landscape, and then discuss the valuable opportunities and resources this commends to AI educators and their students. [excerpt]