Tobias Kohn

According to our database, Tobias Kohn authored at least 24 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

The Robots are Here: Navigating the Generative AI Revolution in Computing Education.

James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Peterson, Raymond Pettit, Brent N. Reeves, Jaromír Savelka

CoRR, 2023

Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans.

James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michael E. Caspersen, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

The Robots Are Here: Navigating the Generative AI Revolution in Computing Education.

James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka

Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education, 2023

Coping With Scoping: Understanding Scope and Parameters.

Tobias Kohn, Dennis Komm

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors.

Tung Phung, Victor-Alexandru Padurean, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models.

Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares

Proceedings of the 16th International Conference on Educational Data Mining, 2023

2022

A Minimal Instruction Set for Education.

Tobias Kohn

Bull. EATCS, 2022

2020

Tell Me What's Wrong: A Python IDE with Error Messages.

Tobias Kohn, Bill Z. Manaris

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Problem Solving and Creativity: Complementing Programming Education with Robotics.

Dennis Komm, Adrian Regez, Urs Hauser, Marco Gassner, Pascal Lütscher, Rico Puchegger, Tobias Kohn

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Dynamic pattern matching with Python.

Tobias Kohn, Guido van Rossum, Gary Brandt Bucher II, Talin, Ivan Levkivskyi

Proceedings of the DLS 2020: Proceedings of the 16th ACM SIGPLAN International Symposium on Dynamic Languages, 2020

2019

Denn sie wissen nicht, was sie programmieren.

Tobias Kohn, Dennis Komm

Inform. Spektrum, 2019

An Elementary Approach Towards Teaching Dynamic Programming.

Hans-Joachim Böckenhauer, Tobias Kohn, Dennis Komm, Giovanni Serafini

Bull. EATCS, 2019

The Error Behind The Message: Finding the Cause of Error Messages in Python.

Tobias Kohn

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Usability of Probabilistic Programming Languages.

Alan F. Blackwell, Luke Church, Martin Erwig, James Geddes, Andy Gordon, Maria I. Gorinova, Atilim Gunes Baydin, Bradley Gram-Hansen, Tobias Kohn, Neil Lawrence, Vikash Mansinghka, Brooks Paige, Tomas Petricek, Diana Robinson, Advait Sarkar, Oliver Strickson

Proceedings of the 30th Annual Workshop of the Psychology of Programming Interest Group, 2019

K-Multiscope: Combining Multiple Kinect Sensors into a Common 3D Coordinate System.

Kyle Stewart, Bill Z. Manaris, Tobias Kohn

Proceedings of the 6th International Conference on Movement and Computing, 2019

LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models.

Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs.

Bradley Gram-Hansen, Yuan Zhou, Tobias Kohn, Hongseok Yang, Frank D. Wood

CoRR, 2018

Teaching Programming and Algorithmic Complexity with Tangible Machines.

Tobias Kohn, Dennis Komm

Proceedings of the Informatics in Schools. Fundamentals of Computer Science and Software Engineering, 2018

2017

Teaching Python Programming to Novices: Addressing Misconceptions and Creating a Development Environment.

Tobias Kohn

PhD thesis, 2017

Algorithmic Thinking from the Start.

Juraj Hromkovic, Tobias Kohn, Dennis Komm, Giovanni Serafini

Bull. EATCS, 2017

Variable Evaluation: an Exploration of Novice Programmers' Understanding and Common Misconceptions.

Tobias Kohn

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

2016

Making Music with Computers: Creative Programming in Python (Abstract Only).

Bill Z. Manaris, Tobias Kohn

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Combining the Power of Python with the Simplicity of Logo for a Sustainable Computer Science Education.

Juraj Hromkovic, Tobias Kohn, Dennis Komm, Giovanni Serafini

Proceedings of the Informatics in Schools: Improvement of Informatics Knowledge and Perception, 2016

2015

Making Music with Computers: Creative Programming in Python (Abstract Only).

Bill Z. Manaris, Andrew R. Brown, Tobias Kohn

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015