CYPHER AI 360 with Copilot

We are currently seeing an average of 5 to 10 minutes to create a comprehensive course including assessments, gamification, competency, and more. Though AI 360 with Copilot can get 80% of the mundane work done in minutes, the final 20% still needs human intelligence to validate the content and overall learning experience. Afterall, it's called Copilot, not auto pilot.

We use a variety of AI technologies including ChatGPT. At CYPHER, we take a holistic approach called AI 360 - a thoughtfully guided and purposeful packaging of AI to benefit everyone involved in the learning experience.

Yes! So, what is built is automatically on the platform.

Same as it always has been when a customer creates a course within the platform - the customer owns the course.

No. AI 360 with Copilot is guided and meaningful with AI-packaged up behind the scenes. You don’t need to be trained on how Microsoft Word works, you just need to know how to use it. Right? Same for AI 360 with Copilot.

If you used ChatGPT this is what you would need to do for a single course with the assumption that it would require 150 inquiries to use ChatGPT to create a course.

1. Identify the 150 inquires (questions) you need to ask ChatGPT
2. Ask ChatGPT 150 questions
3. Consolidate all the responses
4. Put the responses in a course template
5. Remaining steps are manual such as formatting, gamification, assessments, competencies mapping, and rubrics mapping. Not to mention you'll need to manually add and source visuals, video, and audio options. 

So while useful to get base content, that is ChatGPT where it stops.

3000+ skills/competencies are already preloaded:

• Skills / Competencies for over 1,500 jobs that map to US Dole, O*NET and ESCO standards
• Skills / Competencies for over 1,500 courses that map to USA, Philippines and Brazil standards

Additional skills / competencies can easily by added upon request. You can add your own as well!

It’s real - this is NOT a BETA release. Customers are already using and experiencing significant savings in time and cost from AI 360. CYPHER is the first and only company to leverage AI for customers to upload their own resources such as video and PDFs in order to create customized courses using their own brand, terminology, and style. Beyond this astonishing capability, innovation and automation are foundations of the CYPHER platform. AI is integrated across and into our core capabilities. AI is not an afterthought nor was it shoehorned into our platform.

A rubric is a scoring tool that explicitly describes the instructor’s performance expectations for an assignment or piece of work. A rubric identifies:

• Criteria: the aspects of performance (e.g., argument, evidence, clarity) that will be assessed
• Descriptors: the characteristics associated with each dimension (e.g., argument is demonstrable and original, evidence is diverse and compelling)
• Performance levels: a rating scale that identifies students’ level of mastery within each criterion

Rubrics can be used to provide feedback to students on diverse types of assignments, from papers, projects, and oral presentations to artistic performances and group projects.

The time required to create a rubric can vary depending on various factors, including the complexity of the task, the level of detail desired, the subject matter, and the experience of the person creating the rubric. Given these factors, it is challenging to provide a specific time frame for creating a rubric. It could range from a few hours for a relatively straightforward task to several days or even weeks for a more complex assessment. Plus, the rubric is typically an ongoing process.

Creating and mapping competencies in a course can be a time-consuming process that depends on various factors. Here are some considerations that can influence the time required:

1. Course complexity and scope
2. Expertise and familiarity
3. Collaboration and feedback
4. Curriculum design and alignment: Mapping competencies involves aligning the learning outcomes, assessments, and instructional activities with the desired competencies. This requires careful consideration of how each component of the course supports the development and assessment of the identified competencies. Ensuring this alignment can take time, particularly if there are multiple components to be coordinated.
5. Iterative refinement: Like Rubric development, mapping competencies is an iterative process. It often involves revising and refining the initial draft based on feedback, testing, and ongoing evaluation. Each round of revision and refinement can add time to the overall process.

Considering these factors, the time required to create and map competencies in a course can range from several weeks to several months. It depends on the complexity and scope of the course, the expertise and familiarity of the course creator, the level of collaboration and feedback sought, and the iterative refinement process. Additionally, it's worth noting that skills or competency mapping is often an ongoing process that may require periodic updates and adjustments to reflect changes in the field, educational standards, or student/learner needs.

Yes! Using the LTI standard, CYPHER can publish courses into any other LMS that uses LTI. This means you get more than just beautiful course content. You also get engaging and comprehensive gamification, assessments, competencies, reporting and measurement when using the CYPHER platform. See more about LTI. 

Yes! We have enterprise-class integration capabilities that make it easy. See more about integrations.

As part of CYPHER AI 360 with Copilot, we offer AI Crosscheck, a powerful tool that reviews and flags inconsistencies in AI-generated content. It identifies errors, provides reasons for these flags, and suggests replacement text. Users can then choose to apply or ignore these suggestions, ensuring the accuracy and reliability of the content.

To help address:

• Content inaccuracy: ChatGPT-3, the generative-AI tool, “agreed with incorrect statements between 4.8 percent and 26 percent of the time, depending on the statement category.” view source
• Content bias: USC researchers find bias in up to 38.6% of ‘facts’ used by AI.

CYPHER leverages multiple paid Generative AIs to provide AI-enabled skill management and complete course creation. The distinctions between free and paid generative AI services are crucial, particularly in how they handle data. Here’s a closer look at the key differences:

• AI data usage and privacy policies: Free generative AI services often collect and use user data for service improvement and advertising, with broader data usage policies. In contrast, paid AI services offer stricter privacy policies, providing users with better data control and compliance with regulatory standards.
• AI data ownership and rights: Free AI tools often grant providers extensive rights to use and share your data, including with third parties and for training models. In contrast, paid AI services typically offer greater control over data ownership, with agreements that limit the provider's ability to use or share data without explicit user consent.
• AI security measures: Free AI services generally lack advanced security features, such as dedicated support, advanced encryption, and industry compliance. Paid AI services often provide enhanced security features, including compliance with regulations like GDPR and HIPAA, along with additional security controls and continuous monitoring.
• AI support and accountability: Free AI services typically offer limited support through community forums or basic help articles, with lower accountability for data breaches or misuse, while paid AI services provide dedicated support and clear accountability.
• AI transparency and compliance: Free AI services may lack transparency in data handling and compliance with privacy regulations, while paid AI services offer greater transparency, compliance with industry standards, and detailed data handling assurances.

Read our "Free vs. Paid AI Services: Navigating the privacy and security landscape" blog to learn more.