A system includes a print unit configured to print an answer sheet including a plurality of free-form answer fields and a plurality of marking fields, the plurality of marking fields being configured to mark answers written in the respective plurality of free-form answer fields, a reading unit configured to read the answer sheet printed by the print unit, a marking unit configured to mark the answers based at least on description of the plurality of marking fields included in the answer sheet read by the reading unit, and an aggregation unit configured to aggregate results of marking made by the marking unit.

Identifying material with which students are struggling can guide educators’ decisions on which modifications to the instructional experience will be most impactful to the learning experience. Educators make a finite selection of the nearly infinite number of possible combinations of instructional content, delivery approaches, instructional order, test questions, approaches for accountability, rubrics, and the like. Educators and administrators with thousands of students are incapable of processing the quantities of available data unaided. In some embodiments, a system enables users to view quantized metric data from a population of, for example, students. In some embodiments, the system displays a category-filtered presentation table of a single metric data source. In some embodiments, the system may display comparison presentation category cells that allow for direct, visual comparison of metric values from two different sets of quantized metric data from two different populations and thus enable instructors to improve the educational experience.

Systems and methods for improving behavioral therapies encompassing therapies wherein a perceptual stimulus is administered to a subject or a motor behavior is performed by the subject. Such administration of perceptual stimuli or motor performance is paired with the delivery of vagus nerve stimulation to the subject. The vagus nerve stimulation is timed with the sensory stimulus administration or motor performance in a temporal alignment that maximizes neuroplasticity and performance. Systems for performance of the method and associated software are also disclosed

An item generation interface may generate knowledge assessment items directed a subject area based on a set of model items collectively directed to the subject area. The item generation interface may group the set of model assessment items into a plurality of similar item groups using numeric features corresponding to the model assessment items. Similar item groups may include model assessment items covering conceptually similar concepts within the subject area. A conditioning input may be generated for each of the item groups based on the numeric features corresponding to the model assessment items in the item group. Responsive to providing the conditioning inputs to a transformer-based natural language generation model, the item generation interface may receive raw assessment items from the transformer-based natural language generation model. Knowledge assessment items may be identified from the raw assessment items.

An item generation interface may generate knowledge assessment items directed a subject area based on a set of model items collectively directed to the subject area. The item generation interface may group the set of model assessment items into a plurality of similar item groups using numeric features corresponding to the model assessment items. Similar item groups may include model assessment items covering conceptually similar concepts within the subject area. A conditioning input may be generated for each of the item groups based on the numeric features corresponding to the model assessment items in the item group. Responsive to providing the conditioning inputs to a transformer-based natural language generation model, the item generation interface may receive raw assessment items from the transformer-based natural language generation model. Knowledge assessment items may be identified from the raw assessment items.

An interface for an educational tool on an electronic device is described. The interface comprises a main menu to display at least an icon for the educational tool. The main menu appears on a display screen of the electronic device. The interface also comprises a summary menu to list a subset of at least one function of the educational tool. The summary menu is accessed directly from the main menu when a user selects the icon for the educational tool. The interface further comprises an exhibitory window to display a rhyming riddle function of the educational tool selected by the user from the subset listed on the summary menu. The rhyming riddle function presents the user with a rhyming riddle to be solved.

An interface for an educational tool on an electronic device is described. The interface comprises a main menu to display at least an icon for the educational tool. The main menu appears on a display screen of the electronic device. The interface also comprises a summary menu to list a subset of at least one function of the educational tool. The summary menu is accessed directly from the main menu when a user selects the icon for the educational tool. The interface further comprises an exhibitory window to display a rhyming riddle function of the educational tool selected by the user from the subset listed on the summary menu. The rhyming riddle function presents the user with a rhyming riddle to be solved.

A method for assessing learning comprehension regarding a topic includes modifying a fundamental illustrative model to illustrate a first set of assessment assets of a first learning object of learning objects to produce a first assessment illustrative model. The fundamental illustrative model is based on illustrative assets of a lesson that includes the learning objects. The method further includes obtaining a first assessment response for the first assessment illustrative model. When the first assessment response is favorable, the method further includes modifying the fundamental illustrative model to illustrate a second set of assessment assets of a second learning object of the learning objects to produce a second assessment illustrative model and obtaining a second assessment response for the second assessment illustrative model.

A method for assessing learning comprehension regarding a topic includes modifying a fundamental illustrative model to illustrate a first set of assessment assets of a first learning object of learning objects to produce a first assessment illustrative model. The fundamental illustrative model is based on illustrative assets of a lesson that includes the learning objects. The method further includes obtaining a first assessment response for the first assessment illustrative model. When the first assessment response is favorable, the method further includes modifying the fundamental illustrative model to illustrate a second set of assessment assets of a second learning object of the learning objects to produce a second assessment illustrative model and obtaining a second assessment response for the second assessment illustrative model.

Identifying material with which students are struggling can guide educators' decisions on which modifications to the instructional experience will be most impactful to the learning experience. Educators make a finite selection of the nearly infinite number of possible combinations of instructional content, delivery approaches, instructional order, test questions, approaches for accountability, rubrics, and the like. Educators and administrators with thousands of students are incapable of processing the quantities of available data unaided. In some embodiments, a system enables users to view quantized metric data from a population of, for example, students. In some embodiments, the system displays a category-filtered presentation table of a single metric data source. In some embodiments, the system may display comparison presentation category cells that allow for direct, visual comparison of metric values from two different sets of quantized metric data from two different populations and thus enable instructors to improve the educational experience.