This paper presents the design of an interactive, emotionally aware chatbot developed to enhance computer programming education for Arabic-speaking students. The chatbot emulates teacher behavior by guiding students with hints and directions rather than providing direct answers, fostering critical thinking and problem-solving skills. It incorporates emotional intelligence capabilities, which enable it to recognize and respond to the emotional states of students, creating a supportive and engaging learning environment. The study explores four interaction setups: text only, text and voice, voice with avatar and emotion detection, and voice with real human interaction, implemented using the Wizard of Oz technique. These sets of controls are designed to simulate varying levels of personalization and engagement. As a work in progress, this paper focuses on chatbot design at this stage. Future work will involve implementing and conducting scientific experiments to evaluate these setups, measuring their impact on programming proficiency, emotional well-being, and user acceptance. This research contributes to the growing field of AI-assisted education, with a specific focus on culturally and emotionally aware learning technologies tailored to Arabic-speaking students.

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An Interactive Emotional-Aware Chatbot for Enhancing Computer Programming Education Among Arabic-Speaking Students

  • Mamoun Nawahdah,
  • Hadeel Sawalha,
  • Hadeel Jebara

摘要

This paper presents the design of an interactive, emotionally aware chatbot developed to enhance computer programming education for Arabic-speaking students. The chatbot emulates teacher behavior by guiding students with hints and directions rather than providing direct answers, fostering critical thinking and problem-solving skills. It incorporates emotional intelligence capabilities, which enable it to recognize and respond to the emotional states of students, creating a supportive and engaging learning environment. The study explores four interaction setups: text only, text and voice, voice with avatar and emotion detection, and voice with real human interaction, implemented using the Wizard of Oz technique. These sets of controls are designed to simulate varying levels of personalization and engagement. As a work in progress, this paper focuses on chatbot design at this stage. Future work will involve implementing and conducting scientific experiments to evaluate these setups, measuring their impact on programming proficiency, emotional well-being, and user acceptance. This research contributes to the growing field of AI-assisted education, with a specific focus on culturally and emotionally aware learning technologies tailored to Arabic-speaking students.