Stage 1 – Desired Results

 

Established Goals:

• Implement a comprehensive digitalized platform in higher education to optimize the admissions and advising process.

• Increase efficiency by automating administrative tasks such as document submission, student tracking, and appointment scheduling.

• Enhance student engagement by providing a user-friendly interface, real-time chat support, and personalized academic planning tools.

• Improve accessibility through mobile-friendly design and integration with assistive technologies.

• Ensure data security and compliance with FERPA and other regulations regarding student information.

​

Enduring Understandings:

• A digitalized platform can significantly reduce processing times for admissions applications and streamline advising interactions.

• Students benefit from a more transparent and accessible admissions and advising experience through digital self-service tools.

• Integrating AI-powered chatbots and predictive analytics can enhance personalized student guidance and intervention strategies.

• Effective implementation requires stakeholder collaboration, continuous feedback, and iterative improvements.

​

Essential Questions:

• How can a digitalized platform transform the efficiency and effectiveness of the admissions and advising process?

• What are the key features that must be included to ensure usability for students, faculty, and administrators?

• How can data analytics be leveraged to provide proactive and personalized advising?

• What challenges might arise during implementation, and how can they be mitigated?

​

Students Will Know:

• The functionalities of the digital platform, including document submission, appointment booking, and academic planning tools.

• How to access and interpret automated advising reports and predictive analytics.

• Best practices for engaging with virtual advisors and AI-driven support systems.

​

Students Will Be Able To:

• Navigate the digital admissions system to complete applications, upload required documents, and track application status in real time.

• Use the platform to schedule advising appointments, communicate with advisors, and access personalized academic roadmaps.

• Utilize AI-driven recommendations to make informed decisions about course selection, financial aid, and career pathways.

• Provide feedback on platform usability and suggest improvements for future iterations.

______________________________________________________________________________________​

 

Stage 2 – Assessment Evidence

 

Performance Tasks:

• Conduct a mock admissions application process using the digital platform and evaluate its ease of use and efficiency.

• Participate in a simulated advising session utilizing AI-generated course recommendations and predictive analytics.

• Develop a case study analysis of how the digital platform improves student engagement and retention.

​

Other Evidence:

• Surveys measuring student and advisor satisfaction with the platform.

• Analytics tracking the reduction in processing times and error rates in admissions and advising.

• Feedback reports highlighting areas for improvement in platform functionality.

______________________________________________________________________________________

​​

Stage 3 – Learning Plan

Learning Activities:

• Interactive training workshops for students, faculty, and staff on using the digital platform.

• Hands-on demonstrations with guided exercises for completing common admissions and advising tasks.

• Peer-to-peer knowledge-sharing sessions where students share their experiences and best practices.

​

Resources & Materials:

• Step-by-step video tutorials and an online knowledge base for troubleshooting.

• AI-powered chat support for real-time assistance with admissions and advising queries.

• A comprehensive FAQ section addressing common concerns and potential roadblocks.

​

Instructional Strategies:

• Scenario-based learning where students navigate real-life admissions and advising cases using the digital platform.

• Role-playing activities where faculty act as advisors and students utilize digital tools for problem-solving.

• Continuous monitoring and feedback loops to adapt the platform based on user needs.