Multimodal Dataset of Biometric, Behavioral, and Environmental Sensor Indicators in a Classroom Setting

This dataset provides a comprehensive look into the dynamics of a modern classroom. It was collected via an Intelligent Monitoring System designed to track real-time indicators of student engagement, including face orientation, emotional ratios, and social interactions (peer-to-peer or student-to-object). By synchronizing behavioral metrics with precise environmental data, such as air quality (eCO2 and TVOC), lighting, and thermal comfort, this collection allows researchers to analyze how the physical atmosphere of a classroom directly correlates with student focus and academic performance. Each entry is timestamped and linked to specific class sessions, offering a granular view of how distractions (e.g., cellphone use, sleeping, or talking) fluctuate throughout a lesson. This dataset is particularly valuable for researchers in Educational Technology (EdTech), Internet of Things (IoT), and Environmental Psychology, as it provides the empirical evidence needed to design smarter, more responsive learning environments. The data were collected during two continous lessons from 16:00 to 18:45. The outdoor whether conditions were hot and dry with low pollulants. Variables description Name Type Domain id_registro Alphanumeric Unique identifier for each specific record entry. class_session Alphanumeric Unique identifier for the specific class session. time_register Datetime Full timestamp of the recording (DD/MM/YYYY HH:MM:SS). year, month, day, hour, minute, seconds Integer Individual temporal components of the record. faceOrientation Float (0-1) Ratio of students whose faces are oriented towards the focal point. emotionRatio Float (0-1) Aggregated metric representing the emotional state of the group. attendanceRatio Float (0-1) Proportion of students present relative to the total capacity. bodyActionRatio Float (0-1) Measured level of physical movement/activity in the classroom. no_interaction_ratio Float (0-1) Proportion of students not engaged in social or academic interaction. prof_stud_ratio Float (0-1) Frequency or intensity of professor-student interactions. stud_stud_ratio Float (0-1) Frequency or intensity of student-to-student interactions. stud_obj_ratio Float (0-1) Level of interaction between students and educational objects/tools. body_detections Integer Total count of individuals detected in the classroom. distractors_dic.Eating Binary/Int Detection of eating behavior (0: No, 1: Yes). distractors_dic.Sleeping Binary/Int Detection of sleeping behavior (0: No, 1: Yes). distractors_dic.Walking Binary/Int Detection of walking/wandering behavior (0: No, 1: Yes). distractors_dic.Withcellphone Binary/Int Detection of cellphone usage (0: No, 1: Yes). distractors_dic.Withearphones Binary/Int Detection of earphone usage (0: No, 1: Yes). Engagement Float (0-100) Calculated percentage of overall student commitment. Attention Float (0-100) Calculated percentage of overall student focus. Interaction Float (0-100) Calculated percentage of overall social/academic interaction. Distractions Float (0-100) Calculated percentage of disruptive behaviors detected. Class time Time Elapsed time since the start of the session. Time Float Numerical timestamp for data synchronization. LUX Float Ambient light intensity measured in lux. oxygenVol Float Estimated oxygen volume or percentage in the room. Temperature Float Ambient temperature measured in degrees Celsius (°C). Humidity Float Relative humidity percentage (%). AQI Integer Air Quality Index (standard scale). TVOC Integer Total Volatile Organic Compounds (measured in ppb). eCO2 Integer Equivalent Carbon Dioxide concentration (measured in ppm).