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11 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.
Second classroom student demand management method
PendingCN121660849ADigital data information retrievalData processing applicationsPersonalizationEngineering
The invention provides a second classroom student demand management method. The second classroom student demand management method comprises the steps of calling a student dynamic demand portrait model to push activity resources during login; collecting a multi-modal interaction behavior sequence of the student in real time, and extracting multi-granularity spatial-temporal characteristics to generate an instant interest snapshot; if an interest evolution signal appears between the snapshot and the long-term interest file, inputting the interest evolution signal into a dynamic demand awareness network for reasoning to obtain a demand evolution vector and an intensity value; selecting aggressive or progressive strategies to update the portrait model; when the resource list is refreshed, the updated model is used for generating a personalized recommendation sequence and pushing the personalized recommendation sequence to the terminal, so that dynamic and accurate recommendation is realized. According to the invention, the pushing accuracy of the second classroom activity resources and the student participation degree can be improved, the cold start problem of newly registered or low-activity users is solved, and the adaptability of the system and the user experience are enhanced.
Owner:YUNNAN VOCATIONAL COLLEGE OF MECHANICAL & ELECTRICAL TECH
Universal Educational Dashboard for Monitoring Student AI Usage and Learning Engagement Analysis
The invention provides a comprehensive system for monitoring and analyzing student engagement with AI tools across various educational platforms. It includes a Teacher Dashboard for real-time analytics on student interactions with AI tools. The system tracks human prompts, text edits, and interaction frequency, generating personalized feedback to ensure genuine learning. Teachers can manage large student enrollments, contact colleagues within the system, and utilize a Grading Assistance Tool that suggests grades based on an algorithm analyzing AI engagement and learning outcomes.
Owner:WRIGHT KRYSTLE MARIE
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
Ideological and political personalized teaching system based on AI intelligent recommendation
The invention discloses an ideological and political personalized teaching system based on AI intelligent recommendation, particularly relates to the field of personalized teaching demonstration, and is used for solving the problem that teaching contents in an existing ideological and political classroom are difficult to give consideration to students of different majors in a large class teaching scene. The system constructs a classroom logic display structure comprising a main teaching demonstration layer and a professional adaptation demonstration layer, generates a case structure tree comprising core demonstration nodes and professional adaptation sub-nodes, and calculates a matching relationship between the professional adaptation sub-nodes and student course system labels by using a graph neural network model. And generating corresponding adaptive content sequences for different professional groups. The system generates a cooperative control instruction set based on a unified teaching time axis, and drives the main speaking demonstration layer and each specialty adaptive demonstration layer to synchronously present case contents in a classroom teaching process, so that multi-specialty differentiation teaching demonstration is realized on the premise of ensuring the consistency of teaching main lines, and the ideological and political classroom teaching effect and the student participation degree are improved.
Owner:FUZHOU GEZHI MIDDLE SCHOOL FUJIAN PROVINCE
Novel second classroom prediction and early warning optimization method
PendingCN121599802AData processing applicationsBiological modelsPersonalizationInformation behaviour
The invention discloses a novel second classroom prediction and early warning optimization method, which belongs to the technical field of artificial intelligence and machine learning, and comprises the following steps: constructing a three-index system by integrating college basic information, student registration information, behavior data and second classroom activity and growth records; according to the method and the system, student individual and tribe prediction and early warning are realized by using an SVR + CNN-LSTM + Attention model, data-driven dynamic management and intelligent decision making are realized, the technical problems of systematization, quantification and prediction in traditional college second classroom management and real-time evaluation of student participation degree, growth progress and tribe activity quality are solved, data accuracy and timeliness are improved, and the method and the system have good application prospects. According to the method, the privacy compliance is ensured, efficient processing of multi-source heterogeneous data is realized, organization and management standardization and process are realized, and an output module provides a second class report card, credit and growth record early warning, personalized activity recommendation, activity index reports and multi-dimensional data visualization.
Owner:ANHUI UNIVERSITY OF ARCHITECTURE
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
Computer Device for Student Engagement and Cognitive Load Tracker
Owner:DR NITIN KUMAR TYAGI +9
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
Iodine clock reaction experiment teaching aid
This utility model discloses an iodine clock reaction experimental teaching aid, including a shell, a first liquid storage chamber, a second liquid storage chamber, a third liquid storage chamber, a push rod, a pressure plate, a first sealing plug, a second sealing plug, and a drain valve. This utility model stores different solutions for the iodine clock reaction separately, a process that can be completed before class. Due to its integrated closed structure, it is more convenient to carry, and in class, only a single press is needed to mix the different solutions, making operation convenient. This process also allows student participation, preventing spills and reducing the difficulty for students. The interactive design helps stimulate students' interest in chemistry and their desire to explore. This teaching aid combines the iodine clock reaction with a clock design, integrating chemical knowledge with fun. Its novel structure and strong intuitiveness facilitate students' observation of the iodine clock reaction process and recording the reaction time, helping to deepen student memory and improve teaching quality. The clock is detachable, and the liquid can be drained through the drain valve for easy maintenance.
Owner:KUNMING HEALTH VOCATIONAL COLLEGE