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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Proceedings of the 16th Koli Calling International Conference on Computing Education Research

NY : ACM, 2017.
Academic editor: S. M. Calkin, M. Joy

Koli Calling is a vibrant single-track conference with a program including a keynote address, paper presentations and a poster session. At Koli Calling 2017, Professor Katrina Falkner from the University of Adelaide, Australia, presented a keynote address on the topic What Can We Learn about Teaching from MOOCs? Although the conference had a strong Computational Thinking flavour this year, the paper and poster presentations also covered a variety of topics including teaching and learning programming; program design; affect and emotion expression in CS and while programming; reflection, feedback and assessment; program plagiarism; and visualisation tools.

Chapters
Trajectories of student interaction with learning resources in blended learning: the case of data science minor
Musabirov I., Alina Bakhitova, , in: Proceedings of the 16th Koli Calling International Conference on Computing Education Research.: NY: ACM, 2017. P. 191–192.
The paper presents the preliminary results of the analysis of student learning behavior in a blended undergraduate Data Science course for a heterogenous group of non-STEM students. To identify learning trajectories, a mixture model was applied to cluster students according to the use of available resources in the course. Clustering results suggest the existence of ...
Added: December 11, 2017
Priority areas: sociology IT and mathematics
Language: English
Text on another site
Keywords: computer science educationlearning analyticscomputational thinking
Proceedings of the 16th Koli Calling International Conference on Computing Education Research
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