Learner's physical and emotional reactions and mood states, the learning space and learning process, multisensory stimuli, learning comfort, academic performance, and academic achievement are closely connected. This idea creates the foundation for developing the Sensitive Cognitive Classroom Emphasizing Improving Learners’ Academic Performance and Positive Emotions and Reducing Stress and Depression (SEISMOMETER).

The research problem is how to personalize and manage the multisensory stimuli, learning space, and learning process according to learners’ physical and emotional reactions and mood states, arousal, and valence in order to increase experience and motivation, and encourage achievement of better academic outcomes.

The research project implemented by Vilnius Gediminas Technical University aims to develop an innovative SEISMOMETER platform to analyze, personalize, and manage the learning space and learning process according to learners’ physical and emotional reactions and mood states.

The concept of the SEISMOMETER platform has been developed at the present stage. The platform will use the emotional senses to augment a learning space’s attributes in terms of emotional and mood benefits, helping the learner feel the relevance of the personalized learning process. The stimuli cover auditory sensations or acoustic stimuli (a subjective hearing of something, such as lectures, conversation, music, vibration); visual stimuli (educational, thermal comfort, illuminance – light, color – environment, spatial, virtual, and other solutions); smell stimuli (air quality, oxygen, pleasing odors); touch stimuli (pressure, light touch, temperature, indoor environment, pain, vibration, comfort of the seating); and similar aspects relevant to the smart learning spaces.

There will be a constant two-way interaction and real-time feedback loop: stimuli will affect students’ moods and performance, and moods and performance will shape the stimuli. SEISMOMETER will be created as an Education 5.0 concept, which applies groundbreaking technologies to deliver more student-centered learning, emphasizing learners’ emotional and social development and tools that progress life in society and quality of life.

Five innovative elements make the SEISMOMETER different from the most advanced systems of a similar kind. Firstly, the SEISMOMETER will utilize auditory sensations or acoustic stimuli, visual stimuli, smell stimuli, and touch stimuli to improve customized learner comfort, academic performance, positive emotions, and mood. Secondly, it will determine in real time and maintain the best customized learning materials that boost learning. The third innovation demonstrates merging the first two into one whole, i.e., artificial intelligence (AI) models will perform an integrated analysis of the learner, the learning space, and the learning process, and will present the graphical BrainEdu circumplex model. Fourthly, it will be able to maintain the desired physical and emotional reactions and mood states by adapting the learning environment. Fifthly, the SEISMOMETER will calculate the perceived value of the institution, the perceived value of students, and students' emotional value. It is assumed that the SEISMOMETER will improve students’ experience and motivation, and ultimately will lead to better academic outcomes.

Keywords: Multi-sensory smart classrooms, stimuli, personalized learning, mass customization, learning outcomes, cognitive tutoring system, platform.