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	Patitsas, Elizabeth     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 3 of 3 reviews       What is hard about teaching machine learning to non-majors? Insights from classifying instructors’ learning goals Sulmont E., Patitsas E., Cooperstock J. ACM Transactions on Computing Education (TOCE) 19(4): 1-16, 2019.  Type: Article What learning goals do instructors of machine learning courses for non-majors find difficult to teach? The answer is goals corresponding to higher levels in a generally used taxonomy of educational goals. Such higher-level goals includ...... Sep 4 2019     A historical examination of the social factors affecting female participation in computing Patitsas E., Craig M., Easterbrook S.  ITiCSE 2014 (Proceedings of the 2014 Conference on Innovation & Technology in Computer Science Education, Uppsala, Sweden, Jun 21-25, 2014) 111-116, 2014.  Type: Proceedings Barriers to women in computing have existed at least since Ada Lovelace programmed Babbage’s analytical engine. This brief historical survey, bolstered by 55 references, traces the evolution of women’s opportunities...... Jan 13 2015     Comparing and contrasting different algorithms leads to increased student learning Patitsas E., Craig M., Easterbrook S.  ICER 2013 (Proceedings of the 9th Annual International ACM Conference on International Computing Education Research, San Diego, CA, Aug 12-14, 2013) 145-152, 2013.  Type: Proceedings Is it better to present students simultaneously with two versions of code for an algorithm, or to show them one and then the other? This paper presents a reasonably thorough analysis that suggests those who saw the two versions in para...... Sep 18 2013
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