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abstract

Knowledge Maps: Building Conceptual CSS Knowledge Through Comparison

Published: 25 April 2020 Publication History

Abstract

Many CSS tutorials exist online, yet novice web developers struggle to learn and apply professional CSS techniques. In this paper, we introduce Knowledge Maps (KM), a platform that guides novice developers to understand and compare professional web examples in order to learn and apply each example's professional techniques. By comparing professional techniques, learners are able to identify the tradeoffs and use cases associated with each technique. Knowledge Maps (KM) introduces three process management mechanisms to help learners understand examples: highlighted CSS properties, interactive CSS properties, and guided reflection prompts. In a user study where 9 users interacted with the Knowledge Maps (KM) platform on two examples using CSS grid layout, learners were able to understand the pros and cons between the CSS grid layout technique used in each example. Learners also demonstrated that they could apply their understanding to new use cases.

References

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Joshua Hibschman and Haoqi Zhang. 2016. Telescope: Fine-tuned discovery of interactive web UI feature implementation. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology. ACM, 233--245.
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Sarah Lim. 2017. Ply: Visual Regression Pruning for Web Design Source Inspection. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 130--135.
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cover image ACM Conferences
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
April 2020
4474 pages
ISBN:9781450368193
DOI:10.1145/3334480
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 April 2020

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Author Tags

  1. comparison and contrast
  2. conceptual understanding
  3. contextual understanding
  4. css
  5. knowledge transfer
  6. web development

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CHI '20
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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025
ACM CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
Yokohama , Japan

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