An approach is provided that improves a question answering (QA) computer system by ingesting a set of documents into a corpus of a first QA system. A multiple choice test is generated from the set of documents. The multiple choice test includes any number of questions, with each of the questions having a correct answer and one or more candidate, or wrong answers. The questions and answers are retrieved from the set of documents. The approach identifies concepts that correspond to each of the questions. The candidate answers corresponding to each of the questions are generated based on the identified concepts that pertaining to the respective questions. In this manner, the candidate answers are designed to be misleading in light of the respective questions. A subject, such as a second QA system, is tested using the generated multiple choice test.

A method and system is provided for assessing the learning experience of the person by monitoring the mental state of the person. The method involves measuring the brain signal, skin conductance using GSR device, and heart rate variability using the pulse oximeter. These physiological signals are measured when the person is performing an activity such as the modified Stroop test. Once the activity is performed, an offline questionnaire is also filled by the person. Based on the comparison of the offline questionnaire and the physiological signals, a model is generated. This model is used to assess the learning experience of the person. According to another embodiment, a method is also provided for maintaining the steady flow state of a person while performing any activity.

A method and system is provided for assessing the learning experience of the person by monitoring the mental state of the person. The method involves measuring the brain signal, skin conductance using GSR device, and heart rate variability using the pulse oximeter. These physiological signals are measured when the person is performing an activity such as the modified Stroop test. Once the activity is performed, an offline questionnaire is also filled by the person. Based on the comparison of the offline questionnaire and the physiological signals, a model is generated. This model is used to assess the learning experience of the person. According to another embodiment, a method is also provided for maintaining the steady flow state of a person while performing any activity.

A programming learning center includes a learning center workshop and a learning module generator. The learning center workshop allows a user to create a computing program by connecting programming blocks portrayed visually within the learning center workshop as building blocks. The learning module generator generates a learning module from the computing program. The learning module iterates through the computing program to generate a sequential list of steps. The learning module generator allows the user to add notations to the sequential list of steps and to reorder steps in the sequential list of steps.

The present disclosure describes a system and method for conducting continuous vocabulary matching assessments, distinguished by its dynamic, metadata-driven taxonomy that seamlessly adapts to diverse educational curricula. The system manages vocabulary associated with one or more courses and receives input from learners regarding vocabulary words and their corresponding definitions. The system dynamically generates assessment probes, enabling ongoing tracking of student progress and comprehension throughout the course. The system integrates a ChatBot offering real-time feedback and personalized instructional content to learners and collaborates with instructors. The ChatBot provides insights, recommendations, and strategic interventions based on continuous analysis of student performance, setting this system apart from traditional tools that lack such adaptive, interactive capabilities. By utilizing a dynamic taxonomy and real-time interactions, the system ensures that assessments are both relevant and responsive to the evolving educational context, supporting the acquisition and retention of essential vocabulary across a wide range of subjects.

The present disclosure describes a system and method for conducting continuous vocabulary matching assessments, distinguished by its dynamic, metadata-driven taxonomy that seamlessly adapts to diverse educational curricula. The system manages vocabulary associated with one or more courses and receives input from learners regarding vocabulary words and their corresponding definitions. The system dynamically generates assessment probes, enabling ongoing tracking of student progress and comprehension throughout the course. The system integrates a ChatBot offering real-time feedback and personalized instructional content to learners and collaborates with instructors. The ChatBot provides insights, recommendations, and strategic interventions based on continuous analysis of student performance, setting this system apart from traditional tools that lack such adaptive, interactive capabilities. By utilizing a dynamic taxonomy and real-time interactions, the system ensures that assessments are both relevant and responsive to the evolving educational context, supporting the acquisition and retention of essential vocabulary across a wide range of subjects.