Abstract: A computational search method for retrieving computer information related to a query includes transforming a plurality of candidate answers to candidate answer recurrent binary embedding (RBE) embeddings using a trained RBE model. A query is transformed to a query RBE embedding using the trained RBE model. The query RBE embedding is compared to each candidate answer RBE embedding of a plurality of candidate answer RBE embeddings using a similarity function. The candidate answers are sorted based on the comparisons made using the similarity function, and returning a plurality of the top candidate answers.

Abstract: A method and apparatus for the development of educational courses and curriculum using a secure web based server computer platform and software application that aligns course outcomes and course learning objectives with core and specialized course competencies and uniquely develops course summary and compliance reports that may be used for course approval and accreditation of an educational institution. The course development software program provides a course syllabus that includes presentation summaries, textbook, video, test and other materials and assignments for a teacher to easily organize and present daily activities for the classroom.

Abstract: A method for improving a profile analysis of an interpretive framework stored in a memory may include producing and displaying visual stimuli on a computerized device to test visual and visual motor responses of an individual subject in response to the displayed visual stimuli. The method may also include classifying and categorizing digitally measured visual and visual motor responses of the individual subject to the displayed visual stimuli. The method may further include continually modifying parameters of the profile analysis of the interpretive framework corresponding to at least one condition based at least in part on an item analysis corresponding to a pattern of performance determined during the classifying and categorizing of the digitally measured visual and visual motor responses of the individual subject.

Abstract: One embodiment provides a method, including: receiving a plurality of transcripts, each transcript corresponding to an interaction between a student and a tutoring agent; identifying conversational patterns within the plurality of transcripts, the identified conversational patterns indicating a level of understanding regarding the interaction between the tutoring agent and the student, wherein the identifying comprises (i) identifying an exchange between the tutoring agent and the student, the exchange comprising a conversational turn by each of the tutoring agent and the student and (ii) classifying each of the conversational turns into a response type; determining, based upon the identified conversational patterns, a possible improvement to the tutoring agent, wherein the possible improvement is determined based upon the classified response types of each of (i) the tutoring agent and (ii) the student; and notifying a developer of the tutoring agent of the identified possible improvement.

Abstract: An assessment system may present one or more string interaction problems to each of a plurality of students. Students may provide answers to string interaction problems in the form of string edits that, for example, identify deletions, additions, or revisions to a text string of each respective string interaction problem. The assessment system may normalize each string edit by converting each string edit into a student range edit. Each student range edit defines a replacement text string (which could be an empty text string) to be inserted within a range of reference locations relative to an original text string of the string interaction problem (which likewise could be an empty text string). An assessor may associate feedback objects with student range edits that match or, in some embodiments, are within a predetermined distance of an assessor-defined range edit.

Abstract: A method for providing education service based on knowledge units includes generating a curriculum based on a user's achievement for at least one knowledge unit when the curriculum includes at least one problem composed based on the at least one knowledge unit, and providing the at least one problem to the user.

Abstract: A method performed by one or more processing devices for conducting a networked contest is provided. The method describes receiving an input from a contestant, extracting a first set of variable rules based on the contestant input, authorizing the contestant for a contest, presenting a media to a consumer, wherein the media is generated by the contestant, receiving an input from the consumer, extracting a second set of variable rules based on the consumer input, responsive to the presented media, receiving a casted vote from the consumer if each of the contestant and the consumer are authorized based on the variable rules sets. A system for conducting a contest is also provided herein.

Abstract: Systems herein allow an administrator to efficiently set up user devices for use in a classroom environment. A management server can display a graphical user interface that includes selection options for defining and using carts of user devices. The carts can be selected and assigned to classes. The GUI also allows the administrator to specify which applications a class will use. Based on these selections, the management server can then manage which user devices install which applications, and allocate licenses accordingly.

Abstract: A method/apparatus/system for generating a request for improvement of a data object in a neural network is described herein. The neural network contains a plurality of data objects each made of an aggregation of content. The data objects of the neural network are interconnected based on one or several skill levels embodied in the content of the data objects via a plurality of connecting vectors. These connecting vectors can be generated and/or modified based on data collected from the iterative transversal of the connecting vectors by one or several users of the neural network.

Abstract: Techniques relate to managing digital credentials. An operation evaluation system monitors, using sensors configured to detect physical attributes of a user in a physical environment, physical attributes of the user while the user performs a user action in a testing environment. Data corresponding to the physical attributes of the user is transmitted to one or more digital credential generators. A digital credential template associated with at least one of the physical attributes of the user is determined. For the digital credential template, a criteria associated with the digital credential template is retrieved and compared to the physical attributes. Based on the comparison, whether or not the user is eligible to receive a digital credential is determined based on the digital credential template, and, in response to determining that the user is eligible to receive a digital credential based on the digital credential template, a digital credential is generated.

Abstract: Systems and methods are provided for processing a response to essay prompts that request a narrative response. A data structure associated with a narrative essay is accessed. The essay is analyzed to generate an organization subscore, where the organization subscore is generated using a graph metric by identifying content words in each sentence of the essay and populating a data structure with links between related content words in neighboring sentences, wherein the organization subscore is determined based on the links. The essay is analyzed to generate a development subscore, where the development subscore is generated using a transition metric by accessing a transition cue data store and identifying transition words in the essay, wherein the development subscore is based on a number of words in the essay that match words in the transition cue data store. A narrative quality metric is determined based on the organization subscore and the development subscore.

Abstract: Techniques and apparatus for an interactive element presentation process are described. In one embodiment, for example, an apparatus may include a storage device and logic, at least a portion of the logic implemented in circuitry coupled to the storage device. The logic may operate to determine a plurality of user clusters, determine a plurality of queries to prompt for user information, assign each of the plurality of queries: a plurality of priority values and a plurality of response probability, present a set of user queries for presentation to a user interacting with the computer-implemented interface based on the plurality of priority values and the plurality of response probability values for the one of the plurality of user clusters associated the user, receive interaction information associated with user interaction with the computer-implemented platform, and modify the set of user queries based on the interaction information. Other embodiments are described.

Abstract: A software-based method and system enables the creation and automatic assessment of an image such as a free-body diagram by adding pre-made or user-created components to create the image. The input to the software may be a vectorized entity representation of constituent elements of a user's submitted image, including element properties. A pre-authored correct solution and a grading rubric may be used to compute a grade to be returned to the user as output. The assigned grade can be proportional to the severity of any errors in accordance with the grading rubric. The method and system may also generate feedback to the user indicating where and why grade points were lost.

Abstract: An apparatus and a method for providing real-time cybersecurity training. The apparatus for providing real-time cybersecurity training includes a trainee interface unit for communicating with an access device of a trainee who participates in real-time cybersecurity training for a control system, a virtual environment provision unit for providing a virtual environment that includes at least one of a virtual network environment and a virtual system environment corresponding to the real-time cybersecurity training, and a target facility representation unit for displaying the state of a target facility, which is a physical facility that needs to be protected, and the state of a control device of the control system depending on the real-time cybersecurity training.

Abstract: A system includes one or more server hardware computing devices communicatively coupled to a network. The one or more server hardware computing devices include one or more processors and memory storing specific computer-executable instructions that, when executed by the one or more processors, cause the system to receive a first request to calculate a trust score for a user associated with a user account of an online proctored examination platform. The trust score represents results of a risk analysis of the user. The instructions cause the system to obtain internal data of the online proctored examination platform, the internal data describing usage of the online proctored examination platform by the user, perform the risk analysis using at least the internal data to produce the trust score, associate the trust score with the user account, and perform an action based on the trust score.

Abstract: Systems and methods for automatic generating of a Bayes net content graph are disclosed herein. The system can include a memory including a mapping matrix. The system can include at least one server. The at least one server can generate a user matrix having n columns and p rows. In some aspects, each of the n columns is associated with a student and each of the p rows is associated with a content item. The at least one server can: store the user matrix in the memory; retrieve the mapping matrix from the memory; iteratively identify prerequisite relationships between the skills identified in the user matrix; generate edges between the skills in the user matrix based on the iteratively identified prerequisite relationships; and orient the edges between the skill.

Abstract: According to one embodiment of the present invention, a system distributes communications and includes at least one processor. The system identifies an answer to a question submitted to the system by a requesting user. A responding user is identified that submitted the identified answer to the system. The system enables the responding user to view the identified answer. In response to receiving a revision to the identified answer from the responding user, one or more users that have viewed the identified answer are determined and notified of the revision to the answer. Embodiments of the present invention further include a method and computer program product for distributing communications in substantially the same manner described above.

Abstract: A method of managing an interaction of a student with a class about a subject, the subject having at least one lesson having at least one topic, the topic having at least one of exposition content, demonstration content and test content, the test content having a query and a scheme for mapping a response to a result, comprising: presenting content to the student and storing the interaction of the student with the content presented.

Abstract: A data collection, display, and report generation platform has a first input interface configured to present a learning module comprising a series of questions and answers on a plurality of successive question/answer screens comprising a plurality of radio buttons, at least one of the radio buttons configured to accept both a first input action and a subsequent second input action, each providing a different visual indication. The first and second input action each indicate a different confidence level of a learner's answer. A display dashboard displays a plurality of data visualizations of metrics of misinformation and struggle of plurality of learners based on a plurality of answers collected through the first input interface, and comprises one or more bar graph displays, one or more heat map displays, and one or more sorting tools configured to alter the one or more bar graph displays or one or more heat map displays.

Abstract: An example method includes deploying, by a modular training system and on one or more virtual machines in a network, one or more training environments that are configured to execute one or more training exercises; deploying, by the modular training system and for execution by one or more remote host computing systems that are communicatively coupled to the network, one or more software agents that are executed during the one or more training exercises, wherein the one or more software agents are configured to collect parameter data from the one or more remote host computing systems while the one or more trainees perform actions during the training exercise; and receiving, by the modular training system and from the one or more remote host computing system via the network, the parameter data collected by the one or more software agents during execution of the one or more training exercises.

Abstract: Natural language processing is enhanced by linguistically extracting intelligence about a user. A history of user queries is analyzed by a natural language classifier to determine various user intents, and these intents are combined to form a user intent profile. The profile includes elements of sentiment, emotion and tone. The profile can be used in various ways including restricting access to documents in a collection, or refining a cognitive analysis of a query. For access restriction, a determination is made that the user intent is inconsistent with a document, and the user is denied access to the document. This determination involves a user intent score which is compared to a score of the document. For cognitive analysis, searching of reference documents is filtered by excluding documents based on the user intent. The searching includes a comparison of meta-data tags of the documents to the user intent.

Abstract: Methods and systems for analyzing data. The data analysis method includes generating a case data set corresponding to the data analysis request; collecting and storing raw data corresponding to the case data set; generating a knowledge package based on the raw data; generating a knowledge package library based on the knowledge package; and providing the user with the knowledge package library. Also, the case data set includes first selection parameters, and the knowledge package library includes second selection parameters different from the first selection parameters. According to the embodiments of the present disclosure, a deep understanding of business and ecosystem which is previously obtained from big data analysis and insights about data group selection, modeling, and analysis method can be provided, such that a big data analysis can be performed with enhanced efficiency.

Abstract: A method includes establishing parameters and objectives for a digital communication session (DCS) regarding a topic, where computing devices are targeted to participate in the DCS. The method further includes determining whether a blockchain exists for the topic and, if so, affiliating the DCS with the blockchain. The method further includes obtaining data pertaining to the DCS from one or more of the computing devices. The method further includes generating a summarization of the DCS based on the data and in accordance with the parameters and objectives. The method further includes sending a request to at least some of the computing devices to validate the summarization. When a desired number of the at least some of the computing devices have validated the summarization, a data block regarding the DCS and the summarization is generated and the blockchain is updated to include the data block.

Abstract: Systems and methods for automated content selection and/or distribution are disclosed herein. The system can include a packet selection system including a recommendation engine. The recommendation engine can select a next data packet that can include content for delivery to a user device. The system can include a presentation system including a presenter module. The presenter module can receive an indication of the selected next data packet and send the content for delivery to the user device via an electrical communication. The system can include a response system including a response processor. The response processor can receive a response from the user device, and the response processor can determine whether the received response is a desired response. The system can include a summary model system including model engine, and a messaging bus.

Abstract: A chatbot system and method conversing with other chatbots in place of a user. The chatbot system and method understand the purpose of conversation of a user, select chatbots to which the purpose of the user is to be transferred, converse with the selected chatbots in place of the user, and present the user with a result of conversation undertaken. The chatbot system converses with provider chatbots provided by property and service providers. The chatbot system includes a consumer chatbot that understands a purpose of conversation of a user, converses with the provider chatbots in place of the user, and provides a result of the conversation to the user.

Abstract: A system includes a candidate client device including a processor, a camera, and a microphone. The system includes one or more server hardware computing devices communicatively coupled to a network and in communication with the candidate client device. Each of the one or more server hardware computing devices includes at least one processor executing specific computer-executable instructions within a memory that, when executed, cause the one or more server hardware computing devices to receive the sequence of images and the audio data from the candidate client device, extract a first video attribute from the sequence of images, extract a first audio attribute from the audio data, determine that at least one of the first video attribute violates a first video condition and the first audio attribute violates a first audio condition, and prevent the candidate client device from performing a candidate evaluation function using candidate evaluation software application.

Abstract: A method for authentication based on image location and image analysis, comprises: identifying a request of a user to access a resource; determining a location and view point of a device; selecting, based on the location and the view point, at least one three-dimensional model, geometrically mapping objects around the location; capturing an image at the location by a camera of the device; presenting the image on a display of the device; identifying in the at least one first image a set of objects corresponding to a plurality of user selections made by the user with reference to the image when the image is presented on the display; performing a match between the set of objects and a predefined set of objects in the three-dimensional model using the three-dimensional model and the view point; and authenticating the request based on an outcome of the match.

Abstract: A method for mining user cyclic patterns comprises steps: S1: a user behavior recording module recording time of behaviors of each user; S2: a user behavior time sequence generation module performing batch processing to the behaviors of each user to generate a time sequence of the behaviors of the user by using day as time granularity; and S3: a user behavior cyclic pattern acquisition module generating time sequence cyclic patterns from the time sequence according to frequent patterns.

Abstract: In order to be able to discuss multiple topics separately in an electronic chat session, a request to discuss one or more topics in the electronic chat session is detected. In response to detecting the request to discuss the one or more topics in the electronic chat session, a sub-chat session for each of the one or more topics is created within the electronic chat session. Information associated with the sub-chat sessions is sent to the participants of the electronic chat session. This allows each participant to chat separately on each topic via the separate sub-chat sessions; thus creating an individual transcript for each topic.

Abstract: Methods and apparatuses are described for automated execution of computer software based upon determined empathy of a communication participant. A server captures a digitized voice segment from a remote computing device. The server analyzes vocal cues of the digitized voice segment to generate a voice empathy score. The server converts speech in the digitized voice segment into text and determines empathy keywords in the text to generate a keyword empathy score. The server captures digitized images of the participant's face and analyzes physical expressions of the face to identify emotions and generate a facial empathy score. The server generates an overall empathy confidence score for the communication participant based upon the voice empathy score, the keyword empathy score, and the facial empathy score. The server generates recommended changes for the user based upon the overall empathy confidence score and executes a software application that displays the recommended changes.

Abstract: A data collection and display system for use in a combat sport including: i. A trunk protector for a combat sport participant, the trunk protector including: a. protective padding, b. at least one impact sensor, c. at least one microprocessor integral with the protective padding, for collecting and analyzing data from the at least one impact sensor, d. at least one display area, integral with the trunk protector, for displaying information related to the combat sport and combat sport participant; and an energy based method for scoring combat sports.

Abstract: Systems and methods for monitoring the operation of a business are described, the methods including the steps of: receiving operational data from a plurality of businesses, the operational data being derived from the businesses use of software programs; calculating at least one individual performance indicator based on the operational data for the business; calculating at least one group performance indicator based on the operational data for a plurality of businesses; and comparing the individual performance indicator with the group performance indicator.

Abstract: A mechanism is provided in a data processing system for conducting error analysis for a question answering system. Responsive to the question answering system generating one or more candidate answers for an input question, wherein the one or more candidate answers are determined to be incorrect, the mechanism instantiates a plurality of instances of the question answering system with a modification to each instance. The mechanism provides the input question to each of the plurality of instances of the question answering system. The mechanism analyzes results from the plurality of instances of the question answering system to identify at least one modification that led to improved results. The mechanism presents a graphical output based on the analysis.

Abstract: The disclosure provides an information processing method and device. In one embodiment, an information processing method comprises receiving a request for generating questions inputted by a user, the request for generating questions includes a to-be-learned knowledge point; acquiring, from a knowledge graph for questions, a node path including a target node indicating the to-be-learned knowledge point, the nodes in the knowledge graph for questions indicating question-answering steps of existing questions, knowledge points tested in the question-answering steps, and questioning styles corresponding to the question-answering steps; and generating questions required by the user according to question-answering steps, knowledge points tested in the question-answering steps, and questioning styles corresponding to the question-answering steps indicated by nodes on the node path. The present disclosure enables generation of new questions and facilitates the expansion of a question bank.

Abstract: Systems, devices, and methods associated with interactive educational tools are described herein. One device includes instructions executable by a processor to cause a plurality of mobile devices to each represent a respective subsystem associated with an objective, cause an interaction between at least two of the plurality of mobile devices to represent a relationship between the respective subsystems represented by the at least two mobile devices, and aggregate a number of interactions between the at least two of the plurality of mobile devices to form a coordinated response associated with achieving a particular objective.

Abstract: A system and method for implementing a proficiency-driven feedback and improvement platform is disclosed. A particular embodiment includes: establishing a data connection with a learner; generating a distribution of questions to determine the learner's level of proficiency on a topic, the topic being composed of a set of codes and counter-codes; determining the learner proficient on the topic after the learner has demonstrated proficiency on each code and counter-code within the topic; and distributing questions to the learner on codes and counter-codes within the topic until the learner has demonstrated proficiency on each code and counter-code within the topic. A particular embodiment further includes: providing the learner feedback on work according to a set of criteria; and ensuring that only users who have first demonstrated proficiency on one or more criteria in the set of criteria can give feedback on those criteria.

Abstract: Systems and methods are provided for the implementation of personalized cognitive training. As an example, a processor-implemented method is provided for enhancing cognitive abilities of a user by personalizing cognitive training regimens through difficulty progression. The method includes: performing a cognitive assessment of a user using a set of assessment tasks; estimating a maximal performance of the user related to the set of assessment tasks; determining a performance range based at least in part on the maximal performance of the user; dividing the performance range into a plurality of progress gates, the plurality of progress gates corresponding to a plurality of task difficulty levels; selecting a first progress gate within the performance range; generating a first set of training tasks associated with the first progress gate; and collecting the user's first training responses to the first set of training tasks.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Systems and methods for selection among a set of user-input suggestions. The group is divided into subgroups, each subgroup selecting one suggestion from a subgroup of suggestions. The process is repeated with the remaining selected suggestions until one final target is selected, by the entire group, from the remaining suggestions.

Abstract: A computer-implemented method is provided for determining quality metrics for a question set. In an implementation, a test question set model may be produced based upon calculated quality metrics of a test question set with respect to a test corpus, and including features representing quality metrics. The test question set model may be compared to a baseline question set model based on a distance calculated between one or more projected model features of the baseline question set model and one or more runtime model features of the test question set model. Contents of the test question set may be adjusted based upon the calculated distance.

Abstract: Techniques for facilitating inter-entity communications are disclosed. Members of different entities may use different entity-specific parameters to reference similar topics. A master parameter is a term that is used by an inter-entity communication engine to reference a particular topic. The inter-entity communication engine obtains a request for content items associated with a particular master parameter. The inter-entity communication engine determines that a first entity-specific parameter, associated with a first entity, corresponds to the particular master parameter. Further, the inter-entity communication engine determines that a second entity-specific parameter, associated with a second entity, corresponds to the particular master parameter.

Abstract: A system, apparatus and method for providing a lesson to a user of the system. The lesson may be a behavioral lesson or a teaching lesson, such as where knowledge or skill is being imparted to the user. In one aspect, the inventions include a sensor apparatus, the sensor apparatus generating an output indicative of a user's actions. Memory is provided for storing an individual user profile including at least a plan and a display. A processor and associated storage comprising a computing platform to generate user feedback.

Abstract: Activity tables for educational mobile applications are received. The activity tables list learning activities in the applications. Correlations of the learning activities to a set of education standards are received and an index based on the correlations is generated. A specification of an education standard a user wishes to satisfy is received. The index is scanned to identify which mobile applications have learning activities aligned to the specified education standard. User responses to the applications may be collected. Based on the user response and other usage data, the system may determine a user's level of achievement of the specified education standard.

Abstract: An assessment system for structural concept learning, which may include a situation interface, a plurality of learning concept units and a concept connection interface. A user can select some of learning concept units according to the information of the situation interface, and use the proposition containers and the relation operators of the concept connection interface to define the connection relation and order relation between the selected learning concept units; after the connection relation and the order relation are compared with the standard situation solution, the comparison can be used to analysis and present the user's structural knowledge learning outcome, such concept mapping.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Embodiments herein include a NLP application used to coach a participant who violates a social norm during a conversation. For example, the NLP application can evaluate the textual representation of the conversation to determine if the participant is exhibiting a characteristic of autism or other medical disorder which violates a social norm, and if so, inform the participant. Once a characteristic of autism is identified, a coaching application may output text that informs the participant what particular characteristic he is exhibiting—e.g., the participant is ignoring an attempt by another participant to change the topic of the conversation. In addition to providing notice, in one embodiment, the coaching application suggests a corrective action to the participant. For example, if the participant fails to provide an appropriate response to an emotional statement, the coaching action may suggest a sympathetic statement.

Abstract: A computer-implemented method disseminates content over a network. One or more processors parse a first document into first content sections that are devoted to first topics. Processor(s) assess each of the first content sections to determine a level of expertise, of a user, for each topic from the first set of topics. Processor(s) parse a second document into second content sections that are devoted to second topics. Processor(s) compare one or more of the second content sections with one or more of the first content sections to determine a relevance parameter for the user. The relevance parameter describes the level of expertise, of the user, for each topic from the first set of topics that is also found in the second document. Processor(s) utilize the relevance parameter to identify and retrieve, via a network, only passages from the second document that provide new information to the user.

Abstract: A tutor model building system includes a user interface device having a monitor to present to a user a predetermined learning interface of a problem requiring a solution and an input device for the user to enter data showing actions taken to arrive at a solution into the system, a computer to capture the actions entered by the developer user and to generate a behavior demonstration associated with the actions entered and to combine a plurality of behavior demonstrations created from a plurality of user entered data to a behavior graph, and an output device to provide the behavior graph to an authoring tool.

Abstract: In one embodiment, the invention discloses a method for adapting educational content. The method comprises generating data for each of a plurality of students, the data pertaining to an aspect of the student's interaction with an educational system; combining the generated data to form a combined data set; analyzing the combined data set to identify clusters, each representing similar students according to a mathematical model; and adapting the educational system to provide a customized learning experience for a particular student based on an identified cluster.

Abstract: Disclosed is a method and device for Bluetooth communication, the method including: initializing a center device object; obtaining a first device object corresponding to a device of Bluetooth 4.0 according to the center device; pairing with the device of Bluetooth 4.0 according to the first device object to obtain a second device object; obtaining a third device object according to the first or second device object; obtaining a target service corresponding to a preset service identification from the third device object; obtaining a first service according to the target service; obtaining target feature corresponding to a preset feature identification from the first service, realizing communicating with the device of Bluetooth 4.0 via the target feature. The target feature corresponding to the preset feature identification in the target Bluetooth device is obtained according to the center device, and communication with the target Bluetooth device is realized by using the target feature.

Abstract: An interactive system for facilitating interaction between one or more users is provided. The system includes computing devices accessible to several users, including a user interface to enable the user to activate an interaction session amongst a selected set of users; and a plurality of interactive tools to enable each user to communicate with the selected set of users via the user interface. The interactive system includes a session data module to acquire session data from each computing device. The session data module is to acquire session data from each computing device. The interactive system also includes a processing engine to compute an effectiveness score and an engagement score of the interaction session by analyzing the session data. The effectiveness score and the engagement score is continuously computed for a duration and a quality score is calculated as a function of the engagement score and the effectiveness score.