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Introduction Academic Activities AI-centric Curricula Evaluation Conclusion Using artificial intelligence to help bridge students from high school to college Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir


  1. Introduction Academic Activities AI-centric Curricula Evaluation Conclusion Using artificial intelligence to help bridge students from high school to college Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Science Brooklyn College, City University of New York Brooklyn, NY 11210 USA Presenter : M. Q. Azhar mqazhar@sci.brooklyn.cuny.edu Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

  2. Introduction Academic Activities AI-centric Curricula Evaluation Conclusion Introduction we will present our work from the Bridges to Computing project at Brooklyn College of the City University of New York primary target population: hs students who are in transition from high school to college undergraduate students primary project goal : encourage more students to study some aspect of computer science curriculum development: introduced new undergraduate courses into our computer science curriculum and revised existing courses developed activities for high school students to help better prepare them for college-level computer science here, we report on the use of ideas from artificial intelligence implemented within several of these interventions Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

  3. Introduction Academic Activities AI-centric Curricula Evaluation Conclusion Project Activities formal training —(traditional course with exams) via context-based introductory and interdisciplinary undergraduate courses 1091 students updated 15 sections context-based Undergraduate Courses ( 3 UG (CS0,CS1,CS2) courses * 5 flavors ) 2 newly developed interdisciplinary courses Exploring Robotics (CC30.03) Honors Course (SCP50) informal training —(no exams) through after-school and summer programs for high school students mentoring —from high school students to undergraduates to graduate students and faculty community outreach —to the College community and beyond Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

  4. Introduction Formal Training: Introductory Computing Academic Activities Formal training: Interdisciplinary Computing AI-centric Curricula Informal training: Summer Institute Evaluation Informal training: Computing Preparatory Course Conclusion Introduction 1 Academic Activities 2 Formal Training: Introductory Computing Formal training: Interdisciplinary Computing Informal training: Summer Institute Informal training: Computing Preparatory Course AI-centric Curricula 3 Robotics and Agents Biologically-inspired Simulations Multi-agent Games Evaluation 4 Purpose Gender and Language Lessons Learned Conclusion 5 Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

  5. Introduction Formal Training: Introductory Computing Academic Activities Formal training: Interdisciplinary Computing AI-centric Curricula Informal training: Summer Institute Evaluation Informal training: Computing Preparatory Course Conclusion Academic Activities formal and informal training components of the Bridges project are structured around five context-based “flavors” , emphasizing the intersection between computer science and: business 1 law 2 medicine 3 graphics 4 robotics 5 the last three flavors (e.g., medicine, graphics and robotics) in particular have produced curricula that take advantage of AI-based solutions Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

  6. Introduction Formal Training: Introductory Computing Academic Activities Formal training: Interdisciplinary Computing AI-centric Curricula Informal training: Summer Institute Evaluation Informal training: Computing Preparatory Course Conclusion Formal Training: Introductory Computing (CS0) CS0 part of Brooklyn College “lower tier” core curriculum requirements in computing and mathematics approx. 400-500 students per semester gives students with no computing background an introductory-level exposure to a cross section of topics within computer science and provide them with some hands-on experience with computers and programming goal: to increase the number of students who take CS1 after successfully completing CS0 Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

  7. Introduction Formal Training: Introductory Computing Academic Activities Formal training: Interdisciplinary Computing AI-centric Curricula Informal training: Summer Institute Evaluation Informal training: Computing Preparatory Course Conclusion Formal Training: CS1 and CS 2 CS1: Introductory Computing first programming course for CS majors according to our survey, students are ill-informed about the differences between CS0 and CS1 goal: to improve retention of students in CS1 and also increasing the number of students who subsequently complete CS2 CS2: Advanced Programming Techniques second programming course for CS majors taught in C++, introduces UNIX goal: to improve retention of students through CS2 and into the rest of the computer science major. Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

  8. Introduction Formal Training: Introductory Computing Academic Activities Formal training: Interdisciplinary Computing AI-centric Curricula Informal training: Summer Institute Evaluation Informal training: Computing Preparatory Course Conclusion Retention: CS1 to CS2 Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

  9. Introduction Formal Training: Introductory Computing Academic Activities Formal training: Interdisciplinary Computing AI-centric Curricula Informal training: Summer Institute Evaluation Informal training: Computing Preparatory Course Conclusion Retention: CS2 to CS3 Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

  10. Introduction Formal Training: Introductory Computing Academic Activities Formal training: Interdisciplinary Computing AI-centric Curricula Informal training: Summer Institute Evaluation Informal training: Computing Preparatory Course Conclusion Formal training: Interdisciplinary Computing Exploring Robotics part of the Brooklyn College “upper tier” core curriculum (advanced students who have already chosen their major are required to take two interdisciplinary courses) offered first time in Fall 2006 and has proven to be tremendously popular. Fall 2006 Spring 2007 Fall 2007 Spring 2008 91 89 115 158 Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

  11. Introduction Formal Training: Introductory Computing Academic Activities Formal training: Interdisciplinary Computing AI-centric Curricula Informal training: Summer Institute Evaluation Informal training: Computing Preparatory Course Conclusion Informal training: Summer Institute two-week free summer program HS (July 2006, July 2007) recruited students from local public high schools in Brooklyn approximately 35 students attended each summer goal: to give students who have limited or no access to computer science courses in their high schools an opportunity to learn about the field, its broad applications and interdisciplinary nature, and to gain hands-on experience with 1-2 technologies 3 “taster” days and 5 “pick” days. During the taster days, students attended 5 half-day sessions, one for each of the five Bridges flavors a showcase was organized during last day: Elizabeth Sklar, Simon Parsons, Sheila Tejada, Susan Lowes, M Q Azhar, Samir Chopra, Richard Jansen, and Ira Rudowsky Dept of Computer and Information Using artificial intelligence to help bridge students from high school to college

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