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5 results about "Student engagement" patented technology
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Student engagement occurs when "students make a psychological investment in learning. They try hard to learn what school offers. They take pride not simply in earning the formal indicators of success (grades), but in understanding the material and incorporating or internalizing it in their lives." Since the U.S. college dropout rate for first-time-in college degree-seeking students is nearly 50% It is increasingly seen as an indicator of successful classroom instruction, and as a valued outcome of school reform. The phrase was identified in 1996 as "the latest buzzword in education circles." Students are engaged when they are involved in their work, persist despite challenges and obstacles, and take visible delight in accomplishing their work. Student engagement also refers to a "student's willingness, need, desire and compulsion to participate in, and be successful in, the learning process promoting higher level thinking for enduring understanding." Student engagement is also a usefully ambiguous term for the complexity of 'engagement' beyond the fragmented domains of cognition, behaviour, emotion or affect, and in doing so encompass the historically situated individual within their contextual variables (such as personal and familial circumstances) that at every moment influence how engaged an individual (or group) is in their learning.
Intelligent system for managing pre-health experiential learning, professional networking, and credential validation
A computer implemented platform coordinates student participation in clinical shadowing and volunteering. An application server communicates with user devices to authenticate student and professional accounts, display filtered opportunity listings, and record attendance with timestamp and geolocation captured from a student device. The platform generates a session identifier, binds the captured fields to the identifier, and transmits a validation request to a verified professional or organization leader. Upon receiving validation, the system persists a tamper resistant log entry, updates cumulative progress against program specific hour goals, and triggers reminders generated by a requirements engine. Interfaces allow in app messaging for scheduling and confirmation. An export module formats validated histories for direct electronic submission to application portals or for download, enabling end to end discovery, recording, verification, tracking, and export.
Owner:CHANDLER EMILY +2
An ideological and political individualized teaching system based on AI intelligent recommendation
ActiveCN121563736Bachieve synchronizationRealize staggered peak displayData processing applicationsBiological modelsNerve networkGraph neural networks
This invention discloses an AI-based personalized ideological and political education teaching system, specifically in the field of personalized teaching demonstrations, designed to address the problem that existing ideological and political education classrooms, in large-class settings, struggle to cater to students from different majors. The system constructs a logical display structure for the classroom, comprising a main lecturer demonstration layer and a major-specific adaptation demonstration layer. It generates a case structure tree containing core demonstration nodes and major-specific adaptation sub-nodes. Using a graph neural network model, it calculates the matching relationship between major-specific adaptation sub-nodes and student course system tags, generating corresponding adaptation content sequences for different major groups. Based on a unified teaching timeline, the system generates a collaborative control instruction set, driving the main lecturer demonstration layer and each major-specific adaptation demonstration layer to synchronously present case content during classroom teaching. This achieves differentiated teaching demonstrations across multiple majors while ensuring consistency in the main teaching line, thereby improving the effectiveness of ideological and political education classroom teaching and student participation.
Owner:FUZHOU GEZHI MIDDLE SCHOOL FUJIAN PROVINCE
A student engagement calculation method, system and readable storage medium
The application discloses a student participation calculation method and system and a readable storage medium, and relates to the technical field of education. The method comprises the following steps: determining a first sampling time according to a preset first sampling strategy; analyzing teaching process data, identifying a preset student behavior, and statistically obtaining a student behavior distribution for each first sampling time; determining a second sampling time according to a preset second sampling strategy; analyzing teaching process data for each second sampling time; determining a classroom scene category according to the distribution of various classroom activity parameters in a preset time period before and after the second sampling time; generating a classroom scene sequence of the entire teaching process according to the classroom scene category; determining a participation weight table according to the consistency of the preset student behavior and the classroom scene; and calculating a student participation value at each classroom time according to the participation weight table, the student behavior distribution and the classroom scene sequence. The application can reduce the misjudgment of student participation and improve the accuracy of the student participation result.
Owner:BEIJING ZHONGQING MODERN TECH CO LTD
System and method for student engagement and active learning
A system, apparatus, and method for using a teaching tool comprises a housing, at least one guide rail formed on an inner surface of the housing, at least one compartment configured in the housing, at least one engagement tool, and a base connected to the housing, wherein the teaching tools can be used for the engagement of students in classroom activities.
Owner:KONGSVIK JOHN
A multi-modal time series data alignment method based on internet of things
The application discloses a multi-modal time series data alignment method based on Internet of Things, and aims to overcome the defects of low missing data completion precision, static feature extraction, insufficient time sequence dependence capture and poor teaching event adaptability in multi-modal time series data alignment in the prior art. The application is specifically applied to time synchronization and semantic association alignment of multi-type time series data such as video, audio, text and teaching device state signals generated by heterogeneous devices in an education scene, and provides high-quality data support for smart education applications such as classroom teaching rhythm evaluation, student participation analysis and personalized teaching recommendation, and is suitable for multiple scenes such as offline physical classrooms, online live classrooms and blended teaching.
Owner:HUAZHONG NORMAL UNIV