Abir
Ghenaiet
Full Stack Web Developer at Admidio
"Digital and Data Literacy: Robot-Assisted Education (RAE)"
"Digital and Data Literacy: Robot-Assisted Education (RAE)"
Tue June 8 - 4:30 AM EDT/New York (See in local time)
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05//2026 4:30 AM
05//2026 04:50 AM
America/New_York
#WTGC2026
"Digital and Data Literacy: Robot-Assisted Education (RAE)"
#WTGC2026
"Digital and Data Literacy: Robot-Assisted Education (RAE)"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Digital and Data Literacy: Robot-Assisted Education (RAE)"
"Digital and Data Literacy: Robot-Assisted Education (RAE)"
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Session: Digital and Data Literacy: Robot-Assisted Education (RAE)
Under the vigorous development of worldwide anticipatory computing in recent years, there have been numerous applications of AI (AI) in people’s daily lives. Learning analytics of big data can assist students, teachers, and faculty administrators to realize new knowledge and estimate learning information; successively , the improved education contributes to the rapid development of science and technology. Education is sustainable life learning, also because the most vital promoter of science and technology worldwide. In recent years, an outsized number of anticipatory computing applications supported AI have promoted the training professional AI talent. As a result, this talk aims to explore a group of interactive robot-assisted teaching for classroom setting to assist students overcoming academic difficulties. Teachers, students, and robots within the classroom can interact with each other through the ARCS motivation model in programming. The proposed method can help students to develop the motivation, relevance, and confidence in learning, thus enhancing their learning effectiveness. The robot, sort of a teaching assistant, can help students solving problems in the classroom by answering questions and evaluating students’ answers in natural and responsive interactions. The natural interactive responses of the robot are achieved through the utilization of a database of emotional big data (Google countenance comparison dataset). The robot is loaded with an emotion recognition system to assess the moods of the scholars through their expressions and sounds, and then offer corresponding emotional responses. The robot is in a position to speak naturally with the students, thereby attracting their attention, triggering their learning motivation, and improving their learning effectiveness.Key Takeaways
- Education is sustainable life learning, also because the most vital promoter of science and technology worldwide.
- Learning analytics of big data can assist students, teachers, and faculty administrators to realize new knowledge and estimate learning information.
- The natural interactive responses of the robot are achieved through the utilization of a database of emotional big data (Google countenance comparison dataset).
Bio
4+ years of IT experience including Web development, Database systems administration/optimization and 3-layer web applications development.Founder and CEO of the Algerian Desk Institute: engagement by technology since 2017 | an open educational program targeting entrepreneurship skills.
