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Direct Manipulation versus Text-based Programming: An experiment report

Authors:

Patrice FrisonAuthors Info & Claims

ITiCSE '19: Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education

Pages 353 - 359

https://doi.org/10.1145/3304221.3319738

Published: 02 July 2019 Publication History

Abstract

The standard approach to programming is to learn a programming language, write a program in a development environment, compile it, and run it to check how it works. Another approach is possible using direct manipulation programming. This approach makes it possible to directly manipulate the programming objects (variables, arrays, indices) to implement a given algorithm and to automatically produce the corresponding program. In this paper, we report on the results of an experiment that we performed to compare the standard approach with direct manipulation programming. The experiment was conducted with an audience of 54 beginner students divided into 2 groups. The first group programmed with Python Tutor and the second with AlgoTouch, a direct manipulation programming tool. In this article, we present the experience and detail the results obtained.

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Cited By

Thorgeirsson SGraf OSu ZEdwards JTaeumel M(2024)The Hidden Program State Hurts EveryoneProceedings of the 2024 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software10.1145/3689492.3689813(266-274)Online publication date: 17-Oct-2024
https://dl.acm.org/doi/10.1145/3689492.3689813
Kulyukin KYakimov GSychev O(2024)Detecting Function Inputs and Outputs for Learning-Problem Generation in Intelligent Tutoring SystemsGenerative Intelligence and Intelligent Tutoring Systems10.1007/978-3-031-63028-6_19(244-257)Online publication date: 10-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-63028-6_19
Johnson C(2023)Computational Making with TwovilleJournal of Computing Sciences in Colleges10.5555/3606402.360641138:8(39-53)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.5555/3606402.3606411
Show More Cited By

Index Terms

Direct Manipulation versus Text-based Programming: An experiment report
1. Applied computing
  1. Education
2. Social and professional topics
  1. Professional topics
    1. Computing education

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Published In

cover image ACM Conferences

ITiCSE '19: Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education

July 2019

583 pages

ISBN:9781450368957

DOI:10.1145/3304221

General Chairs:
Bruce Scharlau
University of Aberdeen, UK
,
Roger McDermott
Robert Gordon University, UK
,
Program Chairs:
Arnold Pears
KTH Royal Institute of Technology, Sweden
,
Mihaela Sabin
University of New Hampshire, USA

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCSE: ACM Special Interest Group on Computer Science Education

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Association for Computing Machinery

New York, NY, United States

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Published: 02 July 2019

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ITiCSE '19

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SIGCSE

ITiCSE '19: Innovation and Technology in Computer Science Education

July 15 - 17, 2019

Aberdeen, Scotland Uk

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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Cited By

Thorgeirsson SGraf OSu ZEdwards JTaeumel M(2024)The Hidden Program State Hurts EveryoneProceedings of the 2024 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software10.1145/3689492.3689813(266-274)Online publication date: 17-Oct-2024
https://dl.acm.org/doi/10.1145/3689492.3689813
Kulyukin KYakimov GSychev O(2024)Detecting Function Inputs and Outputs for Learning-Problem Generation in Intelligent Tutoring SystemsGenerative Intelligence and Intelligent Tutoring Systems10.1007/978-3-031-63028-6_19(244-257)Online publication date: 10-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-63028-6_19
Johnson C(2023)Computational Making with TwovilleJournal of Computing Sciences in Colleges10.5555/3606402.360641138:8(39-53)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.5555/3606402.3606411
Guo P(2021)Ten Million Users and Ten Years Later: Python Tutor’s Design Guidelines for Building Scalable and Sustainable Research Software in AcademiaThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474819(1235-1251)Online publication date: 10-Oct-2021
https://dl.acm.org/doi/10.1145/3472749.3474819
Montes HHijon-Neira RPerez-Marin DMontes S(2021)Using an Online Serious Game to Teach Basic Programming Concepts and Facilitate Gameful Experiences for High School StudentsIEEE Access10.1109/ACCESS.2021.30496909(12567-12578)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3049690

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