A Tool for Introducing Computer Science with Automatic Formative Assessment
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In this paper we present a software platform called Chatbot designed to introduce high school students to Computer Science (CS) concepts in an innovative way: by programming chatbots. A chatbot is a bot that can be programmed to have a conversation with a human or robotic partner in some natural language such as English or Spanish. While programming their chatbots, students use fundamental CS constructs such as variables, conditionals, and finite state automata, among others. Chatbot uses pattern matching, state of the art lemmatization techniques, and finite state automata in order to provide automatic formative assessment to the students. When an error is found, the formative feedback generated is immediate and task-level. We evaluated Chatbot in two observational studies. An online nation-wide competition where more than 10,000 students participated. And, a mandatory in-class 15-lesson pilot course in three high schools. We measured indicators of student engagement (task completion, participation, self reported interest, etc.) and found that girls engagement with Chatbot was higher than boys for most indicators. Also, in the online competition, the task completion rate for the students that decided to use Chatbot was five times higher than for the students that chose to use the renowned animation and game programming tool Alice. Our results suggest that the availability of automatic formative assessment may have an impact on task completion and other engagement indicators among high school students.
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Chatbots are becoming prevalent in education due to their capacity to engage students and personalize education.
“Due to their capacity to engage students and personalize education, chatbots are becoming prevalent in education [45].”
From Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior (2022) · cites this paper as [45]
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References 55 · Cited by 141
- Authors
- Benotti, L., Martinez, M. C., & Schapachnik, F.
- Affiliations
- Universidad Nacional de Córdoba (AR)
- Universidad de Buenos Aires (AR)
- Venue
- IEEE Transactions on Learning Technologies
- Published
- 2018-04-01
- Volume
- 11
- Issue
- 2
- Pages
- 179-192
- ISSN
- 1939-1382 (ISSN-L)
- 2372-0050
- OpenAlex
- W2595273079
- Cited by
- 141
- References
- 55
- Citations by year
- 2026: 10 · 2025: 28 · 2024: 33 · 2023: 21 · 2022: 19 · 2021: 14 · 2020: 6 · 2019: 7 · 2018: 2 · 2017: 1
- FWCI
- 5.24
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- IEEE Transactions on Learning Technologies (publishedVersion)
- CONICET Digital (CONICET) (submittedVersion, cc-by-nc-sa)
- Funders
- This work was partially supported (ANPCyT-PICT-2014-1833, UBACyT 20020130200032BA, CIN-CONICET-PDTS-2015, PID-MINCYT-CBA-2014)
- Argentinean Ministry of Science, Technology and Productive Innovations Manuel Sadosky Foundation
- Universidad Nacional de Crdoba
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Robotics and Engineering
- Keywords
- computer science education, chatbots, high school students, programming education, finite automata, lemmatization, pattern matching, task completion, Alice programming environment
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