Analogy of thinking process from gaze information in drawing programming task
Pages 82 - 87
Abstract
This paper proposes an analogy method of the thinking process in programming by modeling the learner's line of sight in drawing tasks suitable for beginners. The expansion of programming education requires bringing up the thinking ability unique to programming. In programming, learners have to build plans to combine components using various programming techniques, one by one. To judge the learner's thinking process, every instructor needs to observe the learner's behavior for a long time. Since the learner's line of sight is a behavior that well expresses the state of thinking, a state transition model that captures the characteristics of the learner's answering process is created from records in line-of-sight tracking. This method is expected to figure out the similarity of learners who follow the same thinking process as others. In a verification experiment based on this idea, we have found common characteristics to all learners' state transition models. However, it also revealed the necessity of improvements in the method for discriminating similarities among learners.
References
[1]
Kohei Tanigawa, Fumiko Harada, Hiromitsu Shimakawa, ``Detecting Learning Patterns during Exercise from Function Call Logs'', International Journal of Advanced Computer Science, Vol.1, No.1, pp.30-35, Jul. 2011
[2]
Nigel Bosch, Yuxuan Chen, Sidney D'Mello, ``It's Written on Your Face: Detecting Affective States from Facial Expressions while Learning Computer Programming'', 12th International Conference on Intelligent Tutoring Systems-Volume 8474, pp.39-44, 2014
[3]
Joseph F. Grafsgaard, Joseph B. Wiggins, Elizabeth Boyer, Eric N. Wiebe, James C. Lester, ``Predicting Learning and Affect from Multimodal Data Streams in Task-Oriented Tutorial Dialogue'', EDM, pp.122-129, 2014
[4]
Natasha Jaques, Cristina Conati, Jason M. Harely, Roger Azevedo, ``Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System'', 2014
[5]
Schneider, Bertrand, and Roy Pea. "Toward collaboration sensing." International Journal of Computer-Supported Collaborative Learning 9.4 (2014): 371-395.
[6]
Jaques, Natasha, "Predicting affect from gaze data during interaction with an intelligent tutoring system." International conference on intelligent tutoring systems. Springer, Cham, 2014.
[7]
Molina, Ana Isabel, "Evaluating multimedia learning materials in primary education using eye tracking." Computer Standards & Interfaces 59 (2018): 45-60.
[8]
Olsen, Anneli. "The Tobii I-VT fixation filter." Tobii Technology 21 (2012).
[9]
Eddy, Sean R. "What is a hidden Markov model?." Nature biotechnology 22.10 (2004): 1315-1316.
[10]
Poritz, Alan B. "Hidden Markov models: a guided tour." ICASSP. Vol. 88. 1988.
Index Terms
- Analogy of thinking process from gaze information in drawing programming task
Index terms have been assigned to the content through auto-classification.
Recommendations
Extending Manual Drawing Practices with Artist-Centric Programming Tools
CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing SystemsProcedural art, or art made with programming, suggests opportunities to extend traditional arts like painting and drawing; however, this potential is limited by tools that conflict with manual practices. Programming languages present learning barriers ...
Defining Tinkering Behavior in Open-ended Block-based Programming Assignments
SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science EducationTinkering has been shown to have a positive influence on students in open-ended making activities. Open-ended programming assignments in block-based programming resemble making activities in that both of them encourage students to tinker with tools to ...
A drawing and multi-representational computer environment for beginners' learning of programming using C: Design and pilot formative evaluation
This paper presents both the design and the pilot formative evaluation study of a computer-based problem-solving environment (named LECGO: Learning Environment for programming using C using Geometrical Objects) for the learning of computer programming ...
Comments
Information & Contributors
Information
Published In
August 2021
122 pages
ISBN:9781450390408
DOI:10.1145/3481646
Copyright © 2021 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]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 November 2021
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICCBDC 2021
ICCBDC 2021: 2021 5th International Conference on Cloud and Big Data Computing
August 13 - 15, 2021
Liverpool, United Kingdom
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 36Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)1
Reflects downloads up to 26 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format