• 383 Citations
  • 9 h-Index
20132019
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Personal profile

Research interests

My primary research interests are in the cognitive development of the novice computer programmer, data mining, machine learning, learning analytics, and bioinformatics.

Fingerprint Dive into the research topics where Alireza Ahadi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Students Engineering & Materials Science
MicroRNAs Medicine & Life Sciences
student Social Sciences
Learning systems Engineering & Materials Science
programming Social Sciences
Long Noncoding RNA Medicine & Life Sciences
Exosomes Medicine & Life Sciences
Education computing Engineering & Materials Science

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Research Outputs 2013 2019

  • 383 Citations
  • 9 h-Index
  • 17 Conference proceeding contribution
  • 6 Article
  • 1 Review article

A comparison of three popular source code similarity tools for detecting student plagiarism

Ahadi, A. & Mathieson, L., 2019, ACE 2019: Proceedings of the 21st Australasian Computing Education Conference. New York, NY: Association for Computing Machinery, p. 112-117 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Students
Data structures

ArAl: An online tool for source code snapshot metadata analysis

Ahadi, A., Lister, R. & Mathieson, L., 2019, ACE 2019: Proceedings of the 21st Australasian Computing Education Conference. New York, NY: Association for Computing Machinery, p. 118-125 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Metadata
Education computing
Students
Learning systems
Computer programming

Learning programming, syntax errors and institution-specific factors

Ahadi, A., Lal, S., Lister, R. & Hellas, A., 2018, ACE 2018: Proceedings of the 20th Australasian Computing Education Conference. New York, NY: Association for Computing Machinery, p. 90-96 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Students
Syntactics
Lenses
Semantics

Syntax error based quantification of the learning progress of the novice programmer

Ahadi, A., Lister, R. & Mathieson, L., 2018, ITiCSE 2018: Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. Polycarpou, I., Read, J. C., Andreou, P. & Armoni, M. (eds.). New York, NY: Association for Computing Machinery, p. 10-14 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

learning success
quantification
syntax
Quantification

A contingency table derived method for analyzing course data

Ahadi, A., Hellas, A. & Lister, R., Aug 2017, In : ACM Transactions on Computing Education. 17, 3, 19 p., 13.

Research output: Contribution to journalArticleResearchpeer-review

contingency
Students
student
semester
performance