Recording and analyzing in-browser programming sessions

Juha Helminen; Petri Ihantola; Ville Karavirta

doi:10.1145/2526968.2526970

Recording and analyzing in-browser programming sessions

Juha Helminen, Petri Ihantola, Ville Karavirta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

17 Citations (Scopus)

Abstract

In this paper, we report on the analysis of a novel type of automatically recorded detailed programming session data collected on a university-level web programming course. We present a method and an implementation of collecting rich data on how students learning to program edit and execute code and explore its use in examining learners' behavior. The data collection instrument is an in-browser Python programming environment that integrates an editor, an execution environment, and an interactive Python console and is used to deliver programming assignments with automatic feedback. Most importantly, the environment records learners' interaction within it. We have implemented tools for viewing these traces and demonstrate their potential in learning about the programming processes of learners and of benefiting computing education research and the teaching of programming.

Original language	English
Title of host publication	Proceedings - 13th Koli Calling International Conference on Computing Education Research, Koli Calling 2013
Pages	13-22
Number of pages	10
DOIs	https://doi.org/10.1145/2526968.2526970
Publication status	Published - 2013
Publication type	A4 Article in conference proceedings
Event	13th Koli Calling International Conference on Computing Education Research, Koli Calling 2013 - Koli, Finland Duration: 14 Nov 2013 → 17 Nov 2013

Conference

Conference	13th Koli Calling International Conference on Computing Education Research, Koli Calling 2013
Country/Territory	Finland
City	Koli
Period	14/11/13 → 17/11/13

Keywords

computer science education
computing education research
programming assignment
programming session
Python
web based programming environment

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/2526968.2526970

Cite this

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title = "Recording and analyzing in-browser programming sessions",

abstract = "In this paper, we report on the analysis of a novel type of automatically recorded detailed programming session data collected on a university-level web programming course. We present a method and an implementation of collecting rich data on how students learning to program edit and execute code and explore its use in examining learners' behavior. The data collection instrument is an in-browser Python programming environment that integrates an editor, an execution environment, and an interactive Python console and is used to deliver programming assignments with automatic feedback. Most importantly, the environment records learners' interaction within it. We have implemented tools for viewing these traces and demonstrate their potential in learning about the programming processes of learners and of benefiting computing education research and the teaching of programming.",

keywords = "computer science education, computing education research, programming assignment, programming session, Python, web based programming environment",

author = "Juha Helminen and Petri Ihantola and Ville Karavirta",

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doi = "10.1145/2526968.2526970",

language = "English",

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}

Helminen, J, Ihantola, P & Karavirta, V 2013, Recording and analyzing in-browser programming sessions. in Proceedings - 13th Koli Calling International Conference on Computing Education Research, Koli Calling 2013. pp. 13-22, 13th Koli Calling International Conference on Computing Education Research, Koli Calling 2013, Koli, Finland, 14/11/13. https://doi.org/10.1145/2526968.2526970

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AU - Ihantola, Petri

AU - Karavirta, Ville

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AB - In this paper, we report on the analysis of a novel type of automatically recorded detailed programming session data collected on a university-level web programming course. We present a method and an implementation of collecting rich data on how students learning to program edit and execute code and explore its use in examining learners' behavior. The data collection instrument is an in-browser Python programming environment that integrates an editor, an execution environment, and an interactive Python console and is used to deliver programming assignments with automatic feedback. Most importantly, the environment records learners' interaction within it. We have implemented tools for viewing these traces and demonstrate their potential in learning about the programming processes of learners and of benefiting computing education research and the teaching of programming.

KW - computer science education

KW - computing education research

KW - programming assignment

KW - programming session

KW - Python

KW - web based programming environment

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BT - Proceedings - 13th Koli Calling International Conference on Computing Education Research, Koli Calling 2013

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ER -

Recording and analyzing in-browser programming sessions

Abstract

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Keywords

ASJC Scopus subject areas

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