EDUCATION

Solutions in information technology, delivery, interactive learning, using artificial intelligence

Innovative learning and technology

Interactive content: With interactive content, each student receives a personalized study path to ensure that a concept is well understood. In adaptive content, tools are used to examine a student’s responses to questions on a topic and then respond with specific tips, resources and feedback to ensure understanding. This allows the pace and presentation of the material to be modulated according to the student’s progress, moving away from standardization and focusing on individual performance.

Adaptive Assessment: Systems that alter the questions that assess student comprehension and ability can also help to moderate the pace and delivery of material by adjusting the questions to meet the needs of each learner. If the questions prove difficult, easier questions can be replaced with resources to improve understanding of the concepts until the student catches up. If the questions prove too easy, their pace and complexity can be accelerated to improve engagement.

Interactive sequencing: Automized tools can collect data about a student’s learning experience to personalize the content delivered and, more importantly, track a student’s progress over a period of time. By providing customized content delivery tracks, a student can stay engaged with unique topics, delve deeper into topics, or change topics when performance begins to decline, depending on his or her needs. Data-enabled technologies can improve academic performance across the entire skills ecosystem.

Learning Tools and Technologies

Interactive content: With interactive content, each student receives a personalized study path to ensure that a concept is well understood. In adaptive content, tools are used to examine a student’s responses to questions on a topic and then respond with specific tips, resources and feedback to ensure understanding. This allows the pace and presentation of the material to be modulated according to the student’s progress, moving away from standardization and focusing on individual performance.

Adaptive Assessment: Systems that alter the questions that assess student comprehension and ability can also help to moderate the pace and delivery of material by adjusting the questions to meet the needs of each learner. If the questions prove difficult, easier questions can be replaced with resources to improve understanding of the concepts until the student catches up. If the questions prove too easy, their pace and complexity can be accelerated to improve engagement.

Interactive sequencing: Automized tools can collect data about a student’s learning experience to personalize the content delivered and, more importantly, track a student’s progress over a period of time. By providing customized content delivery tracks, a student can stay engaged with unique topics, delve deeper into topics, or change topics when performance begins to decline, depending on his or her needs. Data-enabled technologies can improve academic performance across the entire skills ecosystem.

Analysis and implementation

Through artificial intelligence and adaptive systems, e-learning allows students to learn from almost anywhere in the world, at any time, with instant feedback.

Course analysis

Identify where gaps in course materials exist and where students tend to fail or fall behind in the course plan. Ensure that students master all required content, whether reinforcing or from a different perspective, on their own.

Student Performance

Supervise student activities to separate mastery of topics from exploration and solutions through real-time trial and error.

Student Communication

Systems can track and support collaborative learning environments, automatically identifying key patterns of interaction, leadership skills, cognitive or communication difficulties in groups of students.

Chatbots

Schools can take advantage of AI and automated response platforms, tailored to their specific application - location, language, dialect, course, topic, etc. - and use them as a tool for communication and collaboration. - to answer students' basic questions, reducing the workload for faculty and administrators and improving the engagement rate of students who want to benefit from machine-based, on-demand counseling.

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Diversiti is a data science consulting firm that provides custom developments and solutions, helping companies enable, leverage and innovate using machine learning and predictive analysis. We accelerate the adoption of AI and deep learning and apply domain knowledge and industry expertise to solve complex business, R&D and new business problems with data-driven systems.

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