Notional machines and introductory programming education

By Juha Sorva. TOCE, 2013

323 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Students’ Misconceptions and Other Difficulties in Introductory Programming (2017, methodology): “Sorva et al. (2013) indicated that learner engagement with new tools was not adequately investigated, and many students did not see the benefits of using such tools.”
Introductory programming: a systematic literature review (2018, background): “Sorva, who has conducted a comprehensive review of research on mental models, misconceptions, and threshold concepts [630],”
Bringing "High-level" Down to Earth: Gaining Clarity in Conversational Programmer Learning Goals (2022, background): “The operation of the notional machine is a behavior of syntax statements [21].”
Learning by Taking Apart: Deconstructing Code by Reading, Tracing, and Debugging (2016, background): “They essentially show students how to trace code, that is, to read code with an understanding of the order in which the lines of code are executed, as well as the data and processes that are activated [17, 28, 70, 71].”