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Full-Text Articles in Physical Sciences and Mathematics

Examining The Impact Of Climate Change Film As An Educational Tool, Brittany Bondi, Salma Monani, Sarah M. Principato, Christopher P. Barlett Jun 2020

Examining The Impact Of Climate Change Film As An Educational Tool, Brittany Bondi, Salma Monani, Sarah M. Principato, Christopher P. Barlett

Student Publications

Purpose: The aim of this paper is to evaluate the effectiveness of film in communicating issues related to climate change. While previous studies demonstrate an immediate effect of a film post-screening, this study also considered if a film can inspire long-term effects, and if supplemental educational information plays a role on participant understanding.

Design/methodology/approach: Using surveys, we assessed undergraduate students’ climate change responses pre-, immediately-post, and 9-weeks post watching the climate change documentary The Human Element (Prod. Earth Vision Institute, 2018). In the 9-week interim before the final survey, half of the participants received weekly information on climate change via …


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

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 Jan 2018

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 Jan 2018

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]


Global Warming: Why Is There Debate?, Mackenzie E. Smith Oct 2017

Global Warming: Why Is There Debate?, Mackenzie E. Smith

Student Publications

Previous studies have produced conflicting results for the determining factors of acceptance or rejection of the science behind the global warming phenomenon; some cite religion as a hindrance to the acceptance of this scientific theory [Kilburn 2008], some conclude lack of education is the driving force [Brechin 2003], and some deduce that party affiliation plays the most significant role in determining belief in global warming. In this study, the National Election Survey of 2012 dataset, consisting of 5,916 individual data points from the United States of America, is analyzed to determine the effects of party affiliation on one’s belief in …


Playful Ai Education, Todd W. Neller Feb 2017

Playful Ai Education, Todd W. Neller

Computer Science Faculty Publications

In this talk, Neller shared how games can serve as a fun means of teaching not only game-tree search in Artificial Intelligence (AI), but also such diverse topics as constraint satisfaction, logical reasoning, planning, uncertain reasoning, machine learning, and robotics. He observed that teachers teach best when they enjoy what they share and encouraged AI educators present to teach to their unique strengths and enthusiasms.


Ai Education: Open-Access Educational Resources On Ai, Todd W. Neller Jan 2017

Ai Education: Open-Access Educational Resources On Ai, Todd W. Neller

Computer Science Faculty Publications

Open-access AI educational resources are vital to the quality of the AI education we offer. Avoiding the reinvention of wheels is especially important to us because of the special challenges of AI Education. AI could be said to be “the really interesting miscellaneous pile of Computer Science”. While “artificial” is well-understood to encompass engineered artifacts, “intelligence” could be said to encompass any sufficiently difficult problem as would require an intelligent approach and yet does not fall neatly into established Computer Science subdisciplines. Thus AI consists of so many diverse topics that we would be hard-pressed to individually create quality learning …


The Power Of X, Darren B. Glass May 2016

The Power Of X, Darren B. Glass

Math Faculty Publications

In his recent book, The Math Myth: And Other STEM Delusions, political scientist Andrew Hacker argues, among other things, that we should not require high school students to take algebra.

Part of his argument, based on data some have questioned, is that algebra courses are a major contributor to students dropping out of high school. He also argues that algebra is nothing more than an "enigmatic orbit of abstractions" that most people will never use in their jobs. [excerpt]


Fearless Friday: Laila Mufty, Laila M. Mufty Apr 2016

Fearless Friday: Laila Mufty, Laila M. Mufty

SURGE

In today’s Fearless Friday, Surge would like to honor the work of Laila Mufty ‘18. Laila is a sophomore from the Bay Area in California and is majoring in Environmental Studies. Currently, she is one of the CPS Program Coordinators with Big Brothers Big Sisters and is the Immersion Project Leader for the New Orleans trip in May focused on the rebuilding of the Gulf Coast. In addition to her work with CPS, Laila participates in multiple cultural organizations on campus and has volunteered with El Centro, Painted Turtle Farm and Casa de la Cultura. Laila has also written and …


Fearless Friday: Kirsten Crear, Kirsten Crear Mar 2014

Fearless Friday: Kirsten Crear, Kirsten Crear

SURGE

Even in her last semester here at Gettysburg, Kirsten Crear ’14 is fearlessly working to make changes for the future of the campus community. This semester, Kirsten introduced a STEMinists club on campus that will give female students who are STEM (an acronym for Science-Technology-Engineering-Mathematics) majors the opportunity to come together and create a community, share and discuss the difficulties they face as women in their fields of study, and support and mentor each other as they prepare to enter their fields.

Kirsten is passionate, driven, and determined, taking the initiative to bring this group of women together on campus …


Design And Use Of A Computerized Test Generating Program, Edward Schaefer, Laurence A. Marschall Jan 1980

Design And Use Of A Computerized Test Generating Program, Edward Schaefer, Laurence A. Marschall

Physics and Astronomy Faculty Publications

An easy-to-use set of programs for the computerized generation of multiple-choice and easy examinations in an introductory astronomy course is described. The programs allow the user to establish files of test questions and to rapidly assemble printed copies of examinations suitable for photocopying. Written in ALGOL for a Burroughs B6700 computer, the programs can, in principle, be implemented on large mainframe computers or on microcomputers of a size increasingly available to physics departments. The advantages and costs of computerized test generation are discussed.