COLLABORATIVE LEARNING PLATFORM WITH PEER-CHATBOTS: EMPOWERING TEACHERS AND ENRICHING STUDENTS’ EXPERIENCE
Despite major breakthroughs in chatbot and virtual assistant technology, the use of chatbots in education is still insubstantial. In my talk, based on my thesis, I will delve into chatbot technology’s under-explored potential in education: What are educational chatbots’ advantages and limitations? What pedagogical approaches emphasize their capabilities and help overcome their shortcomings? What are the best scenarios for their integration into a digital educational platform? To explore answers to these questions, I will present a prototype of a crowd-learning platform with integrated peer-chatbots that has a potential to contribute to a more successful educational process.
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- Date: 10 Oct 2024
- Time: 02:00 PM to 03:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- Starts 08 October 2024 03:27 PM
- Ends 10 October 2024 01:45 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Dr. Shaydullina of UQAM
COLLABORATIVE LEARNING PLATFORM WITH PEER-CHATBOTS: EMPOWERING TEACHERS AND ENRICHING STUDENTS’ EXPERIENCE
Gulnara SHAYDULLINA
PhD (Cognitive Informatics, UQÀM), MA (Translation Studies, UdeM)
IEEE Day 2024
10/10/2024
COLLABORATIVE LEARNING PLATFORM WITH PEER-CHATBOTS: EMPOWERING TEACHERS AND ENRICHING STUDENTS’ EXPERIENCE
Summary:
Despite major breakthroughs in chatbot and virtual assistant technology, the use of chatbots in education is still insubstantial. In my talk, based on my thesis, I will delve into chatbot technology’s under-explored potential in education: What are educational chatbots’ advantages and limitations? What pedagogical approaches emphasize their capabilities and help overcome their shortcomings? What are the best scenarios for their integration into a digital educational platform? To explore answers to these questions, I will present a prototype of a crowd-learning platform with integrated peer-chatbots that has a potential to contribute to a more successful educational process.
Biography:
Gulnara Shaydullina defended her PhD thesis in Cognitive Informatics at UQAM. She graduated from Bashkir State University with Graduate Diplomas in Translation, ESL Teaching, and Philology and from McGill University with a Graduate Diploma in Translation. She obtained her Master’s degree at UdeM, where her thesis was a case study of crowdsourcing in translation. Her current interests include innovative methods of teaching, collaborative learning with chatbots, and new technologies in education.