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US 2019/0102722 A1Published application
System and method enabling dynamic teacher support capabilities
AssigneeInternational Business Machines Corporation
InventorsMALOLAN CHETLUR, SHAJITH I. MOHAMED, VINAY KUMAR REDDY, BIKRAM SENGUPTA, KOMMINIST WELDEMARIAM
Life of this patent
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Abstract
Systems and methods are provided for monitoring and improving teacher effectiveness. The systems and methods scrutinize various aspects of teacher performance, formulate appropriate recommendations for improving such performance, and provide digital interlinkages among teachers in order to effectively distribute content and improve teacher efficiency.
Claims20
A method for improving teacher efficiency, the method comprising:
- recording observation data of a teacher using at least one sensor positioned to observe, in-situ, a student behavior and an interaction between the teacher and the student;
- determining a teacher effectiveness index for the teacher in a context, the context comprising the observation data;
- determining an intervention for the teacher suitable for improving the teacher effectiveness index for the teacher in the context, wherein the intervention is based at least in part on the determined teacher effectiveness index and the context, and wherein the intervention comprises at least one item selected from:
- an online identity corresponding to a complementary teacher in a virtual teacher network;
- an access enabler to an online teacher training software;
- and a digital teaching aid;
- composing a message comprising the determined intervention, wherein the message is personalized to the teacher or is suitable for a teacher group to which the teacher is assigned;
- and
- configuring a communication channel to deliver the composed message to a user account associated with the teacher or to a group of user accounts associated with the teacher group to which the teacher is assigned.
6 more elements
A system for improving teacher efficiency, the system comprising:
- a sensor for recording observation data of a teacher using at least one sensor positioned to observe, in-situ, a student behavior and an interaction between the teacher and the student;
- a measurement component configured to automatically estimate a teacher effectiveness index for the teacher in a context, the context comprising the observation data;
- a matching component configured to automatically determine an intervention for the teacher suitable for improving the teacher effectiveness index for the teacher in the context, wherein the intervention is based at least in part on the determined teacher effectiveness index and the context, and wherein the intervention comprises at least one item selected from:
- an online identity corresponding to a complementary teacher in a virtual teacher network;
- an access enabler to an online teacher training software;
- and a digital teaching aid;
- a communicating component configured to automatically communicate to the teacher a message comprising the determined intervention, wherein the message is personalized to the teacher or is suitable for a teacher group to which the teacher is assigned, by configuring a communication channel to deliver the composed message to a user account associated with the teacher or to a group of user accounts associated with the teacher group to which the teacher is assigned;
- and
- a GUI component configured to automatically modify the display of a user device to display at least a portion of the intervention.
6 more elements
A teacher support system comprising:
- at least one sensor positioned to observe, in-situ, observation data of a student behavior and an interaction between a teacher and the student, the at least one sensor configured to communicate the observation data via a distributed network;
- and
- a server configured to receive the observation data via the distributed network, the server comprising:
- a processor coupled to a memory;
- a measurement component configured to automatically determine a teacher effectiveness index for a teacher in a context, the context comprising the observation data and, optionally, student performance data;
- a matching component configured to automatically determine an intervention based at least on the teacher effectiveness index, the intervention suitable to assist the teacher and improve the teacher effectiveness index for the teacher;
- a networking component configured to automatically identify a human resource based at least on the teacher effectiveness index, the human resource suitable to assist the teacher and improve the teacher effectiveness index for the teacher;
- and
- a feedback component configured to automatically generate an output based at least on the teacher effectiveness index, the output configured to alter a user interface to identify to the teacher the intervention and the human resource.
6 more elements
A method for improving teacher efficiency, the method comprising:
- automatically estimating a teacher effectiveness index based on:
- observation data selected from:
- teacher—student affinity measure;
- teacher—content effectiveness measure;
- teaching strategy—content effectiveness measure;
- and topic—content effectiveness measure;
- student/teacher data selected from:
- comparison with overall distribution of historical performance data;
- comparison with historical data with respect to group of student;
- comparison with historical data with respect to a single student;
- estimated teaching effectiveness towards a course or group of students;
- and estimated individual student-teacher affinity;
- automatically communicating a recommendation to a teacher, the recommendation comprising:
- selected specific teaching content for a teacher to group of students;
- selected effective teaching strategies for topics/content for a group of students;
- selected teaching plan for topics/contents for teachers to group of students;
- and optimal assignment of teachers to classes/courses/training programs given constraints of limited classes, courses and training programs;
- and
- automatically connecting the teacher to teacher resources in real-time or in offline mode.
16 more elements
Dependencies are inferred from the claim text.