Cipherbot, an educational chatbot using large language models to answer student questions concerning learning materials uploaded by the educator, was pilot tested in a classroom setting. Forty-four students used Cipherbot for seven weeks, sending 8077 messages. The average number of messages sent per student was 184 (SD = 80), with an average length of 98 characters (SD = 80). The engagement followed a non-normal distribution, with few power users, implying that most students are still hesitant to adopt tools like Cipherbot. Cipherbot was able to answer 82.5% of the student questions, demonstrating a scalable ability to address students' learning queries, with some room for improvement.
Описание
Using Cipherbot: An Exploratory Analysis of Student Interaction with an LLM-Based Educational Chatbot | Proceedings of the Eleventh ACM Conference on Learning @ Scale
%0 Conference Paper
%1 Salminen2024
%A Salminen, Joni
%A Jung, Soon-gyo
%A Medina, Johanne
%A Aldous, Kholoud
%A Azem, Jinan
%A Akhtar, Waleed
%A Jansen, Bernard J.
%B Proceedings of the Eleventh ACM Conference on Learning @ Scale
%C New York, NY, USA
%D 2024
%I Association for Computing Machinery
%K chatbot las2024
%P 279–283
%R 10.1145/3657604.3664690
%T Using Cipherbot: An Exploratory Analysis of Student Interaction with an LLM-Based Educational Chatbot
%U https://doi.org/10.1145/3657604.3664690
%X Cipherbot, an educational chatbot using large language models to answer student questions concerning learning materials uploaded by the educator, was pilot tested in a classroom setting. Forty-four students used Cipherbot for seven weeks, sending 8077 messages. The average number of messages sent per student was 184 (SD = 80), with an average length of 98 characters (SD = 80). The engagement followed a non-normal distribution, with few power users, implying that most students are still hesitant to adopt tools like Cipherbot. Cipherbot was able to answer 82.5% of the student questions, demonstrating a scalable ability to address students' learning queries, with some room for improvement.
%@ 9798400706332
@inproceedings{Salminen2024,
abstract = {Cipherbot, an educational chatbot using large language models to answer student questions concerning learning materials uploaded by the educator, was pilot tested in a classroom setting. Forty-four students used Cipherbot for seven weeks, sending 8077 messages. The average number of messages sent per student was 184 (SD = 80), with an average length of 98 characters (SD = 80). The engagement followed a non-normal distribution, with few power users, implying that most students are still hesitant to adopt tools like Cipherbot. Cipherbot was able to answer 82.5% of the student questions, demonstrating a scalable ability to address students' learning queries, with some room for improvement.},
added-at = {2024-07-18T22:39:59.000+0200},
address = {New York, NY, USA},
author = {Salminen, Joni and Jung, Soon-gyo and Medina, Johanne and Aldous, Kholoud and Azem, Jinan and Akhtar, Waleed and Jansen, Bernard J.},
biburl = {https://www.bibsonomy.org/bibtex/284a4a444e7aa5a20a24c94992c345ea1/brusilovsky},
booktitle = {Proceedings of the Eleventh ACM Conference on Learning @ Scale},
day = 15,
description = {Using Cipherbot: An Exploratory Analysis of Student Interaction with an LLM-Based Educational Chatbot | Proceedings of the Eleventh ACM Conference on Learning @ Scale},
doi = {10.1145/3657604.3664690},
interhash = {ccc1f53f285aae0728ea55e02d395931},
intrahash = {84a4a444e7aa5a20a24c94992c345ea1},
isbn = {9798400706332},
keywords = {chatbot las2024},
location = {Atlanta, GA, USA},
month = {7},
pages = {279–283},
publisher = {Association for Computing Machinery},
series = {L@S '24},
timestamp = {2024-07-18T22:45:06.000+0200},
title = {Using Cipherbot: An Exploratory Analysis of Student Interaction with an LLM-Based Educational Chatbot},
url = {https://doi.org/10.1145/3657604.3664690},
year = 2024
}