Parallel intelligent education with ChatGPT
Jiacun Wang, Ying Tang, Ryan Hare, Fei–Yue Wang
Abstract
This paper presents a framework for parallel intelligent education that involves physical and virtual learning for a personalized learning experience.We especially focus on Chat Generative Pre-trained Transformer (ChatGPT) owing to its considerable potential to supplement regular class learning.We address the strengths and weaknesses of learning with ChatGPT.Finally, we discuss the challenges and solutions of the proposed parallel intelligent education with ChatGPT.
Topics & Concepts
Computer scienceStrengths and weaknessesTransformerGenerative grammarFocus (optics)Class (philosophy)MultimediaPersonalized learningHuman–computer interactionArtificial intelligenceTeaching methodEngineeringMathematics educationOpen learningCooperative learningElectrical engineeringPsychologyVoltageOpticsPhysicsSocial psychologyRobotics and Automated SystemsInnovation in Digital Healthcare SystemsEducation and Learning Interventions