On learning how to program via an interactive eBook with adaptive Parsons problems: Poster

Haynes-Magyar, Carl Christopher

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https://hdl.handle.net/2142/118045 Copy

Description

Title

On learning how to program via an interactive eBook with adaptive Parsons problems: Poster

Author(s)

Haynes-Magyar, Carl Christopher

Issue Date

2022-10

Keyword(s)

• Introductory computer programming
• Parsons problems
• Cognitive load
• Help-seeking
• Adaptive scaffolding
• Education
• Online learning
• User interfaces

Abstract

Traditional computer programming practice, such as writing pseudocode, code tracing, and code writing, can be arduous, time-intensive, and frustrating. But adaptive Parsons problems, which require learners to place mixed-up code blocks in the correct order, are designed to support learners' individual differences in knowledge acquisition, reduce extraneous cognitive load, and improve affect while learning how to program. These problems modify the difficulty of the current or next problem based on a learner's prior performance and help-seeking behavior. Adaptive Parsons problems are a more interactive way to learn stereotypical solutions to programming problems. Hence, they can help novice programmers build up the kind of mental library of solutions experts have at their disposal when writing code from scratch to solve any number of critical problems related to computing.

Series/Report Name or Number

Proceedings of the ALISE Annual Conference, 2022

Type of Resource

text

Language

eng

Handle URL

https://hdl.handle.net/2142/118045

DOI

https://doi.org/10.21900/j.alise.2022.990

Copyright and License Information

• Copyright 2022 Carl Christopher Haynes-Magyar
• This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-sa/4.0/).

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