XClass vs AWARE Client V3

XClass deeply integrates the AI audio and video communication capabilities with the core needs of the educational teaching scenarios, striving to build a powerful, safe and controllable, real-time interactive immersive intelligent teaching environment. Mixed teaching, cross-screen integration! XClass breaks the boundaries between online and offline, supports various mixed teaching modes, and realizes a new level of intelligent teaching. Online live streaming supports multiple people in the same room, multiple audio and video interactions, equipped with whiteboards, documents, and other rich functional teaching, while AI automatically identifies the focus of the class, intelligently switches the camera between teachers, students, and blackboards, creating a professional-level live streaming experience, liberating teachers and enhancing students' immersion. At the same time, XClass is driven by AI, empowering education. Through high-quality online classes, offline teaching, blended teaching, and smart classroom teaching solutions, it significantly improves teaching efficiency and results. Under the drive of AI, education can focus more on building courses, accurately understand AI classroom data analysis, and achieve data-driven teaching decisions.

AWARE Client V3 is a comprehensive mobile sensing platform designed for academic and behavioral research studies. It enables researchers to passively collect contextual sensor data from participants' iOS devices, if configured, and synchronize it to a secure research server. SENSORS INCLUDED IN THIS RELEASE: Motion & Activity • Accelerometer — raw acceleration along 3 axes • Gyroscope — rotational velocity • Gravity — gravity vector • Magnetometer — ambient magnetic field • Linear Accelerometer — acceleration excluding gravity • Rotation — full device orientation • Barometer — atmospheric pressure and relative altitude • Pedometer — step count, distance, and floors climbed • Activity Recognition — walking, running, cycling, driving, or stationary • Significant Motion — transitions between significant movement states • AirPods Motion — supported AirPods head motion and orientation data Device & Connectivity • Battery — charge level and charging state • Screen — screen on/off/locked/unlocked events • Device — model, OS version, and hardware identifiers • Processor — CPU and memory usage • Network — internet availability and traffic counters • Bluetooth — nearby Bluetooth Low Energy scan results • Timezone — current timezone and changes • HealthKit — selected Apple Health records such as heart rate, sleep, activity, workouts, ECG, activity summaries, and audiograms • Apple Watch — supported Apple Watch sensor collection when paired with the iOS app • Music — playback state and now-playing metadata from the system music player • Photos — photo library asset metadata and optional on-device image recognition labels • Keyboard — keyboard usage event metadata through the bundled custom keyboard extension • App Logger — foreground/background lifecycle events Environment & Location • Locations — GPS coordinates, visited places, and compass heading • Wi-Fi — nearby access point scan results • iBeacon — nearby configured iBeacon ranging and region events • Calls — call event metadata (no audio content is recorded) • OpenWeather — current weather conditions via OpenWeather API • Notification — push notification and silent command events • Shortcuts — Apple Shortcuts personal automation triggers HOW IT WORKS: 1. Scan the QR code provided by your study administrator 2. Select the sensors relevant to your study 3. Tap the main switch to start data collection 4. Data is stored locally on-device and uploaded to your research server on schedule PRIVACY: All data collection requires explicit user consent. HealthKit data is collected only when enabled for the study and authorized by the participant. Health update access is used only when a study enables saving selected study-generated health records to Apple Health. Music and Photos data collection requires the corresponding iOS permission and stores metadata or on-device recognition labels, not media files. Keyboard data collection requires enabling the bundled custom keyboard and Full Access in iOS Settings. The default keyboard storage mode stores only metadata and masks the key and text fields. Data is transmitted only to the server configured by your study administrator. For research use only. Setup requires configuration by a study administrator.