Well-Being Assessment and Personalized Support Strategy

This prompt helps educators assess the well-being of international students by detecting patterns based on their language proficiency, academic programs, personal circumstances, attendance, and assessment outcomes. The goal is to create a personalized support strategy that enhances their overall experience and addresses potential challenges.

Important! In order to use this prompt efficiently, make sure to feed actual data to the model. In case you are using a commercial model, make sure to anonymise it and ensure personal information is protected to comply with data protection laws! We do not recommend using this prompt with free models due to the risks involved.

Basic Prompt

Prompt Development:

Provide Relevant Documentation:
Upload detailed support information and student information, including language assessments, academic assessments, attendance, and background details, to guide the AI in developing more personalized and accurate support strategies that address individual needs and challenges

Detect Subtle Indicators of Struggle:
Ask the AI to identify subtle indicators of potential difficulties, such as consistent, minor declines in attendance or performance, which may signal early-stage issues requiring intervention.

Consider Peer and Social Support Networks:
Include social integration as a factor in the well-being assessment, asking the AI to consider the strength of students’ peer and social support networks and how these networks are affecting their adjustment and overall well-being.

Tailor Language Support by Learning Style:
Modify the prompt to request personalized language support that accounts for different learning styles, including recommendations for peer tutoring, immersive language sessions, or digital tools that cater to individual student preferences.

Factor in Financial Stress as a Component of Well-Being:
Ask the AI to consider financial stress as part of the assessment, particularly looking for patterns like erratic attendance or stress-related issues that may be tied to financial pressures.

Assess Cross-Cultural Competence:
Request an analysis of students’ cross-cultural competence, focusing on their ability to navigate and adapt to the host culture, social dynamics, and communication with peers and faculty from diverse backgrounds.

Create Personalized Academic and Emotional Support Plans:
Rather than general recommendations, ask the AI to generate personalized support strategies for each student. These strategies should address their academic, emotional, and social needs in a targeted and individualized way.

Plan for Long-Term Personal Development:
Request a long-term approach to well-being that focuses on students’ continuous growth, including career planning, leadership development, and ongoing mentorship, to support both their current and future success.

Developed Prompt:

Refinements:

After generating your response, you may need to ask questions and refine the response to ensure more accurate and relevant results. Refining helps the AI better understand your specific needs, leading to more practical and tailored outputs. Here’s how you can refine the plan:

• Tailor Mental Health Interventions:
  Ask the AI to suggest tailored mental health interventions, such as stress management programs, access to counseling, or peer support groups, depending on the specific mental health needs identified in the assessment.
  → Example: “Can you expand on mental health resources for students experiencing stress during exams, including workshops on anxiety management and peer counseling?”
• Enhance Engagement and Attendance Strategies:
  Ask for suggestions on improving student engagement and attendance through tailored interventions, such as personalized check-ins, mentoring programs, or attendance tracking with early intervention for students showing signs of disengagement.
  → Example: “Can you recommend engagement strategies for students with declining attendance, such as personalized academic mentoring or regular advisor check-ins?”
• Customize Support by Academic Program:
  Request specialized support strategies tailored to the demands of different academic programs, such as STEM, humanities, or arts, ensuring that support is relevant to the challenges specific to each discipline.
  → Example: “Can you provide tailored support recommendations for students in STEM programs who may be facing unique pressures, such as balancing heavy coursework with lab work and research?”
• Adjust Strategies Based on Student Engagement Levels:
  Refine the generated support strategies by tailoring them to students’ levels of engagement. Students who are highly engaged may need more advanced or peer-led support, while less engaged students might require targeted interventions like one-on-one check-ins or specialized workshops.
  → Example: “Can you adjust the support plan for students who are disengaged, adding regular one-on-one meetings with their academic advisor and personalized study support?”
• Reassess Cultural Adjustment Suggestions:
  Request the AI to provide more specific strategies for cultural adjustment. This can include improving communication with peers, joining cultural organizations, or exploring community-building activities.
  → Example: “Can you refine the cultural adjustment plan to focus on helping students build social connections through cultural clubs or local events that encourage interaction with domestic students?”
• Fine-Tune Academic Performance Monitoring:
  Refine the way academic performance is monitored over time, ensuring the AI suggests periodic check-ins and progress assessments to track improvements. Request additional feedback mechanisms so students can actively participate in adjusting their support plans as needed.
  → Example: “Can you suggest regular academic check-ins and self-assessment tools to help students track their progress and adjust their support plans over time?”