Intelligent Support for Computer Science Education

Pedagogy Enhanced by Artificial Intelligence
1. Auflage 2023
ISBN: 978-1-032-04986-1
Verlag: CRC Press

Buch, Englisch, 306 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 471 g

Autoren/Hrsg.

Di Eugenio, Barbara

Fossati, Davide

Green, Nick

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik Mathematik Mathematik Allgemein
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

About the Authors

Contributors

Preface

Acknowledgments

Section I Four Scientific Pillars

Chapter 1 Introduction

1.1 AN INTERDISCIPLINARY PERSPECTIVE

1.2 THE STRUCTURE OF THE BOOK

Chapter 2 Related Work With Stellan Ohlsson

2.1 COGNITION AND MULTIPLE MODES OF LEARNING

2.1.1 Background

2.1.2 Nine Modes of Learning  2.1.2.1 Discussion

2.2 PRAGMATICS AND DIALOGUE PROCESSING

2.3 INTRODUCTORY COMPUTER SCIENCE EDUCATION

2.3.1 Elementary and Secondary Education

2.3.2 From high school to college

2.3.3 Post-Secondary Education for CS Majors

2.4 INTELLIGENT TUTORING SYSTEMS (ITSS)

2.4.1 Natural Language Processing (NLP) for ITSs

2.4.2 Modes of learning and ITSs

2.4.2.1 Positive and negative feedback

2.4.2.2 Worked-Out  Examples

2.4.2.3 Analogy

2.5 ITSS FOR COMPUTER SCIENCE AND NLP

2.5.1 ITSs for CS

Über Autor(innen)

Barbara Di Eugenio is Professor in the Department of Computer Science at the University of Illinois at Chicago (UIC), Chicago, IL, USA. There she leads the NLP laboratory (https://nlp.lab.uic.edu). Dr. Di Eugenio holds a Ph.D. in Computer Science from the University of Pennsylvania (1993); she joined UIC in 1999. Her interests focus on the theory and practice of Natural Language Processing, with applications to educational technology, health care, human robot interaction, and social media. Dr. Di Eugenio is an NSF CAREER awardee (2002), and a UIC University Scholar (2018-21). Her research has been supported by the National Science Foundation, the National Insti- tute of Health, the Office of Naval Research, Motorola, Yahoo!, Politecnico di Torino, and the Qatar Research Foundation. She has graduated 12 PhD students and 30 Master's students, and published more than one hundred refereed publications.

Davide Fossati is currently a Senior Lecturer in Computer Science at Emory University in Atlanta, GA, USA. Prior to joining the faculty at Emory in 2016, Dr. Fossati held positions at the Georgia Institute of Technology (2009-2010) and Carnegie Mellon University (2010-2015). He received his Ph.D. in Computer Science from the University of Illinois at Chicago in 2009. He also holds an M.Sc. degree in Computer Engineering from the Po-
litecnico di Milano, Italy (2004), and an M.Sc. in Computer Science from the University of Illinois at Chicago (2003). Dr. Fossati's primary scholarly focus is Technology Enhanced Learning, with particular interest in the development of Artificial Intelligence systems to support Computer Science education.

Nick Green is a technology professional with 20 years of research and development experience in academia and industry. Dr. Green received his Ph.D. in Computer Science from the University of Illinois at Chicago in 2017, where he focused on educational technology, natural language processing, and software engineering. Outside of academia, he has worked for companies such as Sony Interactive Entertainment and Facebook. He has a passion for the startup scene where he is also a serial entrepreneur having founded companies in fields such as security and precision agriculture.