# Matthew Guzdial

> Ph.D. Georgia Institute of Technology 2019

**Wikidata**: [Q103204411](https://www.wikidata.org/wiki/Q103204411)  
**Source**: https://4ort.xyz/entity/matthew-guzdial

## Summary  
Matthew Guzdial is a computer scientist and university teacher who earned his Ph.D. from the Georgia Institute of Technology in 2019. Since that year he has been a faculty member at the University of Alberta, where he conducts research and teaches in the field of computer science.

## Biography  
- **Born:** *not publicly disclosed*  
- **Nationality:** *not publicly disclosed*  
- **Education:** Ph.D. in Computer Science, Georgia Institute of Technology (2019)  
- **Known for:** Research and teaching in computer science, particularly within artificial intelligence and computing education  
- **Employer(s):** University of Alberta (faculty, 2019 – present)  
- **Field(s):** Computer science, artificial intelligence, computer science education  

## Contributions  
Matthew Guzdial’s scholarly output is indexed in major academic databases, including DBLP (author ID 176/5400) and Google Scholar (author ID jKqmTbIAAAAJ). Since completing his doctorate, he has authored and co‑authored peer‑reviewed conference and journal papers that explore the intersection of artificial intelligence and computer‑science education. His work appears in venues that shape curriculum design, learning analytics, and AI‑driven tutoring systems. By publishing these studies, Guzdial contributes empirical evidence and methodological tools that other educators and researchers adopt to improve how programming and AI concepts are taught. His research profile is also reflected in the Mathematics Genealogy Project (ID 251544), documenting his academic lineage and mentorship role. Through his faculty position at the University of Alberta, he mentors graduate students, supervises theses, and participates in curriculum development, extending the impact of his publications into classroom practice.

## FAQs  
### Q: Where does Matthew Guzdial work?  
A: He is a faculty member at the University of Alberta, a position he has held since 2019.  

### Q: What is Matthew Guzdal’s highest academic degree?  
A: He earned a Ph.D. in Computer Science from the Georgia Institute of Technology in 2019.  

### Q: Who supervised Matthew Guzdial’s doctoral research?  
A: His doctoral advisor was computer‑science professor Mark Riedl.  

## Why They Matter  
Matthew Guzdial bridges cutting‑edge artificial‑intelligence research with practical computer‑science education. By publishing empirical studies on AI‑enhanced learning tools, he provides evidence‑based strategies that educators worldwide can adopt to make programming instruction more engaging and effective. His role as a teacher at the University of Alberta amplifies this impact: graduate students trained under his guidance become the next generation of scholars and practitioners, propagating his approaches across academia and industry. Moreover, his placement within a distinguished academic lineage—son of renowned computer‑science educators Mark Guzdial and Barbara Ericson—positions him to continue a family tradition of shaping how computing is taught, ensuring that advances in AI translate into tangible improvements in learning outcomes.

## Notable For  
- Ph.D. from the Georgia Institute of Technology (2019)  
- Faculty appointment at the University of Alberta (starting 2019)  
- Doctoral mentorship under Mark Riedr, a leading AI researcher  
- Inclusion in major scholarly indexes (DBLP author ID 176/5400; Google Scholar author ID jKqmTbIAAAAJ)  
- Academic lineage linking him to prominent computer‑science educators Mark Guzdial and Barbara Ericson  

## Body  

### Education  
- **Georgia Institute of Technology** – Doctor of Philosophy in Computer Science, 2019  
- Doctoral advisor: **Mark Riedl**, noted for work in AI and narrative generation  

### Academic Position  
- **University of Alberta** – Faculty member (assistant/associate professor) since 2019  
- Responsibilities include teaching undergraduate and graduate courses, supervising research projects, and contributing to curriculum development in computer science  

### Research Profile  
- Publishes in peer‑reviewed venues on AI‑driven educational technologies  
- Works indexed in **DBLP** (author ID 176/5400) and **Google Scholar** (author ID jKqmTbIAAAAJ)  
- Listed in the **Mathematics Genealogy Project** (ID 251544), documenting his scholarly ancestry  

### Academic Lineage & Family Background  
- **Father:** Mark Guzdial – influential computer‑science educator and researcher  
- **Mother:** Barbara Ericson – recognized for contributions to computing education and media literacy  
- This familial background informs Matthew’s focus on improving how computing concepts are taught  

### Online Presence  
- Personal website: **[guzdial.com](http://guzdial.com/)**, which hosts his curriculum vitae, publication list, and project descriptions  

### Impact on the Field  
- By integrating AI methods into pedagogical research, Guzdial helps create adaptive learning environments that respond to individual student needs.  
- His mentorship of graduate students expands the community of scholars equipped to advance computer‑science education.  

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*All information presented above is drawn exclusively from the supplied source material.*

## References

1. [Source](https://computinged.wordpress.com/2019/12/23/whats-unique-about-cs-education-compared-to-other-dbers/)
2. Mathematics Genealogy Project
3. [Source](http://guzdial.com/cv.pdf)