CSTutor

Author:

Buchanan Sarah1,Laviola Joseph J.1

Affiliation:

1. University of Central Florida

Abstract

We present CSTutor, a sketch-based interface designed to help students understand data structures, specifically Linked Lists, Binary Search Trees, AVL Trees, and Heaps. CSTutor creates an environment that seamlessly combines a user’s sketched diagram and code. In each of these data structure modes, the user can naturally sketch a data structure on the canvas just as they would on a white board. CSTutor analyzes the user’s diagrams in real time, and automatically generates code in a separate code view to reflect any changes the user has made. Additionally, the code can also be edited and any new code changes will animate the data structure drawn on the canvas. The connection between the data structure drawn on the canvas and the code implementation is intended to bridge the gap between the conceptual diagram of a data structure and the actual implementation. We also present the results of two semester-long studies using CSTutor in a CS1 course. The results indicate that students preferred CSTutor and were more engaged using it than a standard whiteboard lecture; however, results were mixed in quiz and exam performance.

Funder

Division of Information and Intelligent Systems

Division of Computing and Communication Foundations

Publisher

Association for Computing Machinery (ACM)

Subject

Education,General Computer Science

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Implementing Machine Learning-Based Simulation in Physics Virtual Laboratory;Innovations in Smart Cities Applications Volume 6;2023

2. Using Animation to Enrich Learning Experience in Sketch-Based Physics Tutoring Systems;Human–Computer Interaction Series;2018

3. SEED: A software tool and an active-learning strategy for data structures courses;Computer Applications in Engineering Education;2017-11-06

4. Flow2Code;Proceedings of the Symposium on Sketch-Based Interfaces and Modeling;2017-07-29

5. DSAdvisor: Facilitating Deeper Inquiry in the Data Structures Course;2016 International Conference on Learning and Teaching in Computing and Engineering (LaTICE);2016-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3