Showing results 5 to 24 of 40
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Issue Date | Title | Author(s) |
2016-09-01 | A comparative analysis of lncRNAs in prostate cancer exosomes and their parental cell lines | Ahadi, A; Khoury, S; Losseva, M; Tran, N |
2019-01-29 | A Comparison of Three Popular Source code Similarity Tools for Detecting Student Plagiarism | Ahadi, A; Mathieson, L |
2017-08-01 | A contingency table derived method for analyzing course data | Ahadi, A; Hellas, A; Lister, R |
2017-08-01 | A contingency table derived method for analyzing course data | Ahadi, A; Hellas, A; Lister, R |
2016-08-25 | Early identification of novice programmers' challenges in coding using machine learning techniques | Ahadi, A |
2015-07-04 | Educational data mining and learning analytics in programming: Literature review and case studies | Ihantola, P; Vihavainen, A; Ahadi, A; Butler, M; Börstler, J; Edwards, SH; Isohanni, E; Korhonen, A; Petersen, A; Rivers, K; Rubio, MÁ; Sheard, J; Skupas, B; Spacco, J; Szabo, C; Toll, D |
2020-10-15 | EMIP: The eye movements in programming dataset | Bednarik, R; Busjahn, T; Gibaldi, A; Ahadi, A; Bielikova, M; Crosby, M; Essig, K; Fagerholm, F; Jbara, A; Lister, R; Orlov, P; Paterson, J; Sharif, B; Sirkiä, T; Stelovsky, J; Tvarozek, J; Vrzakova, H; van der Linde, I |
2017-03-08 | Evaluating neural networks as a method for identifying students in need of assistance | Castro-Wunsch, K; Ahadi, A; Petersen, A |
2021-01-01 | Evaluation of teacher professional learning workshops on the use of technology - a systematic review | Ahadi, A; Bower, M; Lai, J; Singh, A; Garrett, M |
2015-07-09 | Exploring machine learning methods to automatically identify students in need of assistance | Ahadi, A; Lister, R; Haapala, H; Vihavainen, A |
2016-06-01 | Expression of microRNAs in HPV negative tonsil cancers and their regulation of PDCD4 | Khoury, S; Ahadi, A; Zhang, X; Tran, N |
2014-06-25 | Falling Behind Early and Staying Behind When Learning to Program | Ahadi, A; Teague, D; Lister, RF; du Boulay, B; Good, J |
2014-06-25 | Falling Behind Early and Staying Behind When Learning to Program | Ahadi, A; Teague, D; Lister, RF; du Boulay, B; Good, J |
2013-09-11 | Geek genes, prior knowledge, stumbling points and learning edge momentum: Parts of the one elephant? | Ahadi, A; Lister, R |
2018-01-30 | Learning Programming, Syntax Errors and Institution-specific Factors | Ahadi, A; Lal, S; Lister, R; Hellas, A |
2016-04-22 | Long non-coding RNAs harboring miRNA seed regions are enriched in prostate cancer exosomes | Ahadi, A; Brennan, S; Kennedy, PJ; Hutvagner, G; Tran, N |
2019-09-01 | MicroRNA (miRNA)-to-miRNA Regulation of programmed cell death 4 (PDCD4) | Ajuyah, P; Hill, M; Ahadi, A; Lu, J; Hutvagner, G; Tran, N |
2015-01-01 | Mired in the web: Vignettes from charlotte and other novice programmers | Teague, D; Lister, R; Ahadi, A |
2017-01-01 | MiRTar2GO: A novel rule-based model learning method for cell line specific microRNA target prediction that integrates Ago2 CLIP-Seq and validated microRNA-target interaction data | Ahadi, A; Sablok, G; Hutvagner, G |
2016-07-09 | On the Number of Attempts Students Made on Some Online Programming Exercises During Semester and their Subsequent Performance on Final Exam Questions | Ahadi, A; Lister, RF; Vihavainen, A; Clear, A; Cuadros, E; Carter, J; Tupac, Y |