Technology Enhanced Mulsemedia Learning In Stem Education For Enhancing The Learner’s Quality Of Experience (Qoe)
Team Members:
Dr.P.Subashini , Professor , Dept of Computer Science
Dr. N.Valliammal, Assistant Professor (SG), Dept of Computer Science
Ms.M.Mohana, Research Scholar , Dept of Computer Science
Ms. V.Suvetha , II MCA , Dept of Computer Science
Project Summary: Affective computing refers to the development of technologies that enable machines to recognize and respond to human emotions, essentially creating a form of artificial emotional intelligence. Mulsemedia combines multiple media formats such as audio, video, and interactive content to create an immersive learning experience. Multisensorial learning, on the other hand, focuses on multiple senses, such as sight, sound, haptic, and hearing, to enhance the learning experience. This research also focuses on STEM education, it is an ideal field for the implementation of Mulsemedia due to its focus on science, technology, engineering, and mathematics. The Mulsemedia can help to overcome some of the limitations of e-learning by providing a more interactive and engaging learning experience. The Mulsemedia can provide students with an interactive and engaging learning experience, allowing them to explore complex concepts and theories in a more accessible manner. This paper proposes a new perspective to achieve the model " TECHNOLOGY ENHANCED MULSEMEDIA LEARNING FOR ENHANCING QUALITY OF EXPERIENCE" by integrating devices like Microcontroller- Arduino UNO, Exhaust fans, olfaction-ultrasonic humidifier, and haptics. This Research project targets students between 20-25 years old to provide them with a better Quality of Experience (QoE) while learning. The QoE is, subjective measures, such as self-reported feedback from students, is an important aspect of assessing the effectiveness of Mulsemedia. This project will examine the impact of both the presence and absence of subjective measures and objective measures. The subjective measures rely on personal experiences and opinions, while objective measures use quantifiable data, such as GSR. When mulsemedia elements are incorporated into a learning experience, learners may experience higher levels of engagement and emotional response, which can lead to higher GSR readings and potentially better learning outcomes. Thus, the research to enhance e-learning, by incorporating multisensory activities and integrating devices to provide an immersive and engaging learning experience.
Mulsemedia Kit Mulsemedia Web portal
