# US 2026/0094530 A1 · Improved digital classroom based on student interaction with class chatbot > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0094530 A1 - Document ID: US20260094530A1 - Status: Published application - Kind: A1 - Application number: 18/903,941 - Filed: 2024-10-01 - Published: 2026-04-02 - Earliest claimed: 2024-10-01 - Assignees: Lenovo (United States) Inc. - Applicants: Lenovo (United States) Inc. - Inventors: Joshua Smith; Inna Zolin; Tyler Nicholls; Sathish Kumar Ganesan; Justin Miller - Web page: https://patentgrep.com/patent/US20260094530A1 ## CPC - G09B 5/08: providing for individual presentation of information to a plurality of student stations - G06F 40/40: Processing or translation of natural language (natural language analysis G06F40/20; semantic analysis G06F40/30) - G09B: EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS (devices for psychotechnics or for testing reaction times A61B5/16; games, sports, amusements A63; projectors, projector screens G03B) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## Abstract In a digital classroom setting, student inputs to a class chatbot are monitored through various technological processes. Common topics related to the student inputs are identified and surfaced to the class instructor for the instructor to subsequently revisit the common topics in a subsequent class session for greater student understanding. ## Claims ### Claim 1 An apparatus, comprising: a processor system; and storage accessible to the processor system and comprising instructions executable by the processor system to: monitor plural student inputs to a class chatbot; and based on the plural student inputs, present an output at an instructor client device, the output indicating a common aspect amongst the plural student inputs, the output recommending a course of action for future class instruction. ### Claim 2 (depends on 1) The apparatus of claim 1, wherein the instructions are executable to: correlate the plural student inputs to a particular class topic that is indicated in a class transcript from a past class session; and based on the correlation, configure the output to indicate the plural student inputs to the chatbot related to the particular topic. ### Claim 3 (depends on 2) The apparatus of claim 2, wherein the instructions are executable to: determine that the class transcript did not address student queries, to the chatbot, related to the particular class topic; and responsive to determination, configure the output to indicate the plural student inputs to the chatbot related to the particular topic. ### Claim 4 (depends on 2) The apparatus of claim 2, wherein the instructions are executable to: based on the correlation, configure the output to recommend that the particular topic be reviewed in a subsequent class session. ### Claim 5 (depends on 2) The apparatus of claim 2, wherein the instructions are executable to: responsive to the plural student inputs related to the particular class topic exceeding a threshold number of inputs related to a given class topic, configure the output and present the output at the instructor client device. ### Claim 6 (depends on 2) The apparatus of claim 2, wherein the instructions are executable to: correlate the plural student inputs to the particular class topic using a classification model. ### Claim 7 (depends on 2) The apparatus of claim 2, wherein the instructions are executable to: correlate the plural student inputs to the particular class topic using natural language processing. ### Claim 8 (depends on 2) The apparatus of claim 2, wherein the instructions are executable to: correlate the plural student inputs to the particular class topic using a large language model (LLM). ### Claim 9 (depends on 1) The apparatus of claim 1, comprising the instructor client device. ### Claim 10 (depends on 9) The apparatus of claim 9, comprising respective student client devices at which respective inputs of the plural student inputs are received. ### Claim 11 (depends on 1) The apparatus of claim 1, comprising a server that communicates with the instructor client device to present the output at the instructor client device. ### Claim 12 A method, comprising: analyzing plural student inputs to a class chatbot; and based on the analysis of the plural student inputs, presenting an output at an instructor client device, the output indicating a common topic related to the plural student inputs. ### Claim 13 (depends on 12) The method of claim 12, wherein the output recommends a course of action for future class instruction. ### Claim 14 (depends on 12) The method of claim 12, comprising: correlating the plural student inputs to the common topic as indicated in a class transcript from a past class session; and based on the correlation, configuring the output to indicate that the common topic should be addressed in a next class session. ### Claim 15 (depends on 14) The method of claim 14, comprising: determining that the class transcript did not answer student queries, to the chatbot, related to the common topic; and responsive to determination, configuring the output to indicate the plural student inputs to the chatbot related to the common topic. ### Claim 16 (depends on 12) The method of claim 12, comprising: responsive to the plural student inputs related to the common topic exceeding a threshold number of inputs related to a particular class topic, configuring the output and presenting the output at the instructor client device. ### Claim 17 At least one computer readable storage medium (CRSM) that is not a transitory signal, the at least one CRSM comprising instructions executable by a processor system to: analyze plural student inputs to a class chatbot; and based on the analysis of the plural student inputs, present an output at an instructor client device, the output indicating a common topic related to the plural student inputs. ### Claim 18 (depends on 17) The at least one CRSM of claim 17, wherein the output recommends a course of action for future class instruction. ### Claim 19 (depends on 17) The at least one CRSM of claim 17, wherein the instructions are executable to: correlate the plural student inputs to the common topic as indicated in a class transcript from a past class session; and based on the correlation, configure the output to indicate that the common topic should be addressed in a next class session. ### Claim 20 (depends on 17) The at least one CRSM of claim 17, wherein the instructions are executable to: analyze the plural student inputs using one or more of: a classification model, a large language model (LLM), natural language processing.