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Alex Edgcomb, Ph.D |
Post-PhD focus: STEM Education and Retention at zyBooks.
PhD focus: Assistive Monitoring at UC Riverside with Frank Vahid.
Journal and Conference Publications
J. Kelly, A. Edgcomb, J. Bruno, C. Gordon, and F. Vahid. Theory to Practice: Reducing Student Attrition in Online Undergraduate Math, International Journal of Research in Education and Science (IJRES), 8(2), pgs 187-206, 2022. [paper]
E. Kazakou, A. Edgcomb, Y. Rajasekhar, R. Lysecky, and F. Vahid. Randomized, Structured, Auto-graded Homeworks: Design Philosophy and Engineering Examples, Proceedings of ASEE Annual Conference, 2021. [paper] [slides] [talk]
D. McKinney, A. Edgcomb, R. Lysecky, and F. Vahid. Improving Pass Rates by Switching from a Passive to an Active Learning Textbook in CS0, Proceedings of ASEE Annual Conference, 2020. [paper] [slides]
A. Edgcomb, F. Vahid, and R. Lysecky. Coral: An Ultra-Simple Language For Learning to Program, Proceedings of ASEE Annual Conference, 2019. [paper] [slides]
Y. Rajasekhar, A. Edgcomb, and F. Vahid. Student Usage of Digital Design Interactive Learning Tools in an Online Textbook, Proceedings of ASEE Annual Conference, 2019. [paper]
N. Sambamurthy, A. Edgcomb, and F. Vahid. Animations for Learning: Design Philosophy and Student Usage in Interactive Textbooks, Proceedings of ASEE Annual Conference, 2019. [paper]
N. Alzahrani, F. Vahid, and A. Edgcomb. Manual Analysis of Homework Coding Errors for Improved Teaching and Help, Proceedings of ASEE Annual Conference, 2019. [paper] [slides]
J.M. Allen, F. Vahid, K. Downey, K. Miller, and A. Edgcomb. Many Small Programs in CS1: Usage Analysis from Multiple Universities, Proceedings of ASEE Annual Conference, 2019. [paper] [slides]
N. Sambamurthy, A. Edgcomb, and Y. Rajasekhar. Student Usage of Interactive Learning Tools in an Online Linear Circuit Analysis Textbook, IEEE Frontiers in Education Conference, 2019. [paper]
J.M. Allen, F. Vahid, A. Edgcomb, K. Downey, and K. Miller. An Analysis of Using Many Small Programs in CS1, ACM SIGCSE Technical Symposium on Computer Science Education, 2019. [paper] [slides]
J. M. Allen, F. Vahid, K. Downey, and A. Edgcomb. Weekly Programs in a CS1 Class: Experiences with Auto-graded Many-small Programs (MSP), Proceedings of ASEE Annual Conference, 2018. [paper] [slides] (best paper nominee)
A. Edgcomb, N. Sambamurthy, D. Gulvady, and S. Kasula. Student Usage of Small Auto-graded MATLAB Coding Exercises, Proceedings of ASEE Annual Conference, 2018. [paper] [slides] (best paper nominee)
N. Sambamurthy and A. Edgcomb. A Systematic Literature Review of Misconceptions in Linear Circuit Analysis, Proceedings of ASEE Annual Conference, 2018. [paper] [slides]
N. Alzahrani, F. Vahid, A. Edgcomb, R. Lysecky, and S. Lysecky. An Analysis of Common Errors Leading to Excessive Student Struggle on Homework Problems in an Introductory Programming Course, Proceedings of ASEE Annual Conference, 2018. [paper] [slides]
N. Alzahrani, F. Vahid, A. Edgcomb, K. Nguyen, and R. Lysecky. Python versus C++: An analysis of student struggle on small coding exercises in introductory programming courses, ACM SIGCSE Technical Symposium on Computer Science Education, 2018. [paper] [slides]
A. Edgcomb, F. Vahid, R. Lysecky, and S. Lysecky. An Analysis of Incorporating Small Coding Exercises as Homework in Introductory Programming Courses, Proceedings of ASEE Annual Conference, 2017. [paper] [slides]
J.M. Allen, F. Vahid, S. Salehian, A. Edgcomb. Serious Games for Building Skills in Introductory Algebra and Computer Science Courses, Proceedings of ASEE Annual Conference, 2017. [paper] [slides]
A. Edgcomb, F. Vahid, R. Lysecky, and S. Lysecky. Getting students to earnestly do reading, studying, and homework in an introductory programming class, ACM SIGCSE Technical Symposium on Computer Science Education, 2017. [paper] [slides]
F. Vahid, J.M. Allen, and A. Edgcomb. Web-based games to master core skills in introductory college mathematics, Joint Mathematics Meetings, 2017, abstract. [abstract] [slides]
S. Irani, F. Vahid, and A Edgcomb. New Web-Native Animated Interactive Learning Material for Discrete Math, Joint Mathematics Meetings, 2017, abstract. [abstract] [slides]
J. Yuen, A. Edgcomb, and F. Vahid. Will Students Earnestly Attempt Learning Questions if Answers are Viewable?, Proceedings of ASEE Annual Conference, 2016. [paper] [slides]
A. Edgcomb and F. Vahid. Simplifying a Course to Reduce Student Stress so Students Can Focus Again on Learning, Proceedings of ASEE Annual Conference, 2016. [paper] [slides]
F. Vahid, S. Lysecky, and A. Edgcomb. Introduction to Computing Technology: New Interactive Animated Web-Based Learning Content, Proceedings of ASEE Annual Conference, 2016. [paper] [slides]
F. Vahid, A. Edgcomb, S. Lysecky, and R. Lysecky. New Web-Based Interactive Learning Material for Digital Design, Proceedings of ASEE Annual Conference, 2016. [paper] [slides]
F. Vahid, A. Edgcomb, B. Miller, and T. Givargis. Learning Materials for Introductory Embedded Systems Programming using a Model-Based Discipline, Proceedings of ASEE Annual Conference, 2016. [paper] [slides]
F. Vahid and A. Edgcomb. New College-Level Interactive STEM Learning Material: Findings and Directions, AAAS NSF Symposium on EnFUSE (Envisioning the Future of Undergraduate STEM Education: Research and Practice), 2016. [paper] [slides]
F. Vahid, D. de Haas, S. Strawn, A. Edgcomb, S. Lysecky, and R. Lysecky. A Continual Improvement Paradigm for Modern Online Textbooks, Proceedings of International Conference on Education, Research, and Innovation (ICERI), 2015. [paper] [slides]
A. Edgcomb, D. de Haas, R. Lysecky, and F. Vahid. Student Usage and Behavioral Patterns with Online Interactive Textbook Materials, Proceedings of International Conference on Education, Research, and Innovation (ICERI), 2015. [paper] [slides]
A. Edgcomb and F. Vahid. How Many Points Should Be Awarded for Interactive Textbook Reading Assignments?, Frontiers in Education Conference (FIE), IEEE, 2015. [paper] [slides]
A. Edgcomb, F. Vahid, and R. Lysecky. Students Learn More with Less Text that Covers the Same Core Topics, Frontiers in Education Conference (FIE), IEEE, 2015. [paper] [slides]
A. Edgcomb, F. Vahid, R. Lysecky, A. Knoesen, R. Amirtharajah, and M.L. Dorf. Student Performance Improvement using Interactive Textbooks: A Three-University Cross-Semester Analysis, Proceedings of ASEE Annual Conference, 2015. [paper] [slides] (Best paper award winner)
A. Edgcomb, J. Yuen, F. Vahid. Does Student Crowdsourcing of Practice Questions and Animations Lead to Good Quality Materials?, Proceedings of ASEE Annual Conference, 2015. [paper] [slides]
A. Edgcomb, F. Vahid. Effectiveness of Online Textbooks vs. Interactive Web-Native Content, Proceedings of ASEE Annual Conference, 2014. [paper] (Best paper award winner)
A. Edgcomb. Automated Video-Based Fall Detection, PhD Dissertation at UC Riverside, 2014. [paper] [slides]
A. Edgcomb, F. Vahid. Accurate and Efficient Algorithms that Adapt to Privacy-Enhanced Video for Improved Assistive Monitoring, ACM Transactions on Management Information Systems (TMIS): Special Issue on Informatics for Smart Health and Wellbeing, 2013. [paper]
A. Edgcomb, F. Vahid. Automated In-Home Assistive Monitoring with Privacy-Enhanced Video, IEEE International Conference on Healthcare Informatics (ICHI), 2013. [paper] [slides]
A. Edgcomb, F. Vahid. Estimating Daily Energy Expenditure from Video for Assistive Monitoring, IEEE International Conference on Healthcare Informatics (ICHI), 2013. [paper] [slides]
A. Edgcomb, F. Vahid. Interactive Web Activities for Online STEM Learning Materials, American Society for Engineering Education Pacific Southwest Section Conference, 2013. [paper]
A. Edgcomb, F. Vahid. Privacy Perception and Fall Detection Accuracy for In-Home Video Assistive Monitoring with Privacy Enhancements, ACM SIGHIT (Special Interest Group on Health Informatics) Record, 2012. [paper]
A. Edgcomb, F. Vahid. Automated Fall Detection on Privacy-Enhanced Video, IEEE Engineering in Medicine & Biology Society, 2012, 4 pages. [paper] [slides]
A. Edgcomb, F. Vahid. MNFL: The Monitoring and Notification Flow Language for Assistive Monitoring, ACM SIGHIT International Health Informatics Symposium (IHI), 2012. [paper] [poster]
A. Edgcomb, F. Vahid. Feature Extractors for Integration of Cameras and Sensors during End-User Programming of Assistive Monitoring Systems, Wireless Health, 2011, 2 pages. [paper] [slides] [talk]
Talks+papers not associated with Publications
J. Kelly and A. Edgcomb. Best Practice and Course Reconceptualization in Online Undergraduate Quantitative Reasoning, Online Learning Consortium (OLC) Innovate, March 2021. [slides]
J. Kelly, J. Bruno, and A. Edgcomb. Theory to Practice: Closing the Gap in Undergraduate Math to Reduce Student Attrition, University of Phoenix, 2021. [paper]
A. Edgcomb, F. Vahid, and R. Lysecky. Interactive language-neutral flowcharts and code for teaching core programming concepts, 5-min talk (Lighting Talk) given at ACM SIGCSE Technical Symposium on Computer Science Education, 2018. [slides]
F. Vahid and A. Edgcomb. Simplify! Simplifying college course organization so students can get back to learning, WICHE Cooperative for Educational Technologies (WCET), 2015. [slides] [notes]
A. Edgcomb. A Graphical Monitoring and Notification Flow Language (MNFL) for User-Configurable In-Home Assistive Monitoring, Oral Qualification [slides]
Lecturer/Instructor
CS101 (StraighterLine) - Introduction to Programmig in C++ [Fall'13 to present]
CS120B (UCR) - Introduction to Embedded Systems. [Summer'11][Summer'12]
Teaching assistant
CS122A (UCR) - Intermediate Embedded Systems. [Fall'10][Fall'12]
CS120B (UCR) - Introduction to Embedded Systems. [Winter'10][Spring'10][Winter'11][Spring'13][Summer'13]
ENGR1 (UCR) - Professional Development and Mentor. [Fall'09]
CS10 (UCR) - Introduction to Computer Science for Science, Mathematics, and Engineering I. [Spring'11]