Extanto has launched a new service designed to reshape how textbook publishers create test bank materials for higher education. This offering blends expert-led prompt engineering with advanced generative AI to produce assessment content that is pedagogically sound, intellectually rigorous, and customized to the instructional priorities of each client.
The Socratic Method and its Importance to Mathematics
The Socratic method, rooted in dialectical questioning, proves particularly effective in mathematics education. By posing targeted questions, educators can help students deconstruct problems, recognize logical connections, and refine their approaches.
The Future’s So Bright, We Gotta Wear Shades
Extanto’s 2025 business forecast presents a promising outlook across its three primary lines of business: content sensitivity analysis for higher education textbook publishers, sales channel partners for Textmetrics, and for DecTron USA, with a focus on securing both Textmetrics and DecTron on the GSA MAS.
Best Practices for Responsible AI Implementation: Part 3
This is the third and final article in a series of three discussions with Perplexity AI regarding how to police the quality of its data and output.
Best Practices for Responsible AI Implementation: Part 2
Extanto has been concerned with the veracity, efficacy and potential bias of content and data generated by AI and the risks to business when AI is used in a business setting.
Best Practices for Responsible AI Implementation: Part 1
Ensure Data Accuracy and Representation: Implement rigorous data validation processes to ensure that the data used for training AI models is accurate, representative, and free from biases.