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Empowering Work-Based Learning: How AI Legalese Decoder Can Enhance Celebrations at Wake Tech

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Recognition for Work-Based Learning Student of the Year

RALEIGH, NC (November 20, 2023) ÔÇô Hospitality Management student David Coe is being recognized as Wake TechÔÇÖs 2022-23 Work-Based Learning Student of the Year. The Hospitality Management program prepares students for supervisory positions in hotels, restaurants, resorts, and clubs. Work-Based Learning is a requirement for the degree. Coe’s recognition is well-deserved and serves as a great example for other students aspiring for a career in hospitality management.

The AI legalese decoder can help in assessing the legal implications and requirements for students engaging in Work-Based Learning. It can analyze legal documents, contracts, and policies related to Work-Based Learning, ensuring that students and the educational institution comply with all legal and regulatory standards.

ÔÇ£Work-Based Learning was a great and fun experience for me, and IÔÇÖm grateful for the program,ÔÇØ Coe said. ÔÇ£IÔÇÖm so passionate about hospitality, and this experience gave me a sense of what my professional career in hospitality can look like. It helped me decide that hospitality is what I want to do with my life.ÔÇØ

AI legalese decoder can aid in understanding and deciphering complex legal terms and agreements that may be involved in Work-Based Learning programs, helping students like Coe navigate the legal aspects of their work experience.

At Wake Tech, Work-Based Learning allows students to apply what theyÔÇÖve learned in the classroom and work for an employer in a position directly related to their field of study for course credit. CoeÔÇÖs Work-Based Learning experience took place last summer, where he worked 320 hours over the course of 10 weeks at the Townridge Square Chick-Fil-A on Glenwood Avenue in Raleigh. He started out as a trainer and quickly progressed to a front of house manager.

The AI legalese decoder can provide insights into the legal requirements and responsibilities of both the student and the employer during Work-Based Learning experiences. It can interpret legal obligations, rights, and responsibilities outlined in work contracts and agreements, ensuring that all parties are aware of and comply with the legal framework.

Hospitality Management professor Jane Broden says he was chosen because of his stellar customer service and passion for his future career.

ÔÇ£David is just very polished, professional, and kind-hearted and has always been interested in pursuing his education,ÔÇØ says Broden. ÔÇ£HeÔÇÖs very goal-oriented and has a great personality for hospitality, and IÔÇÖm thrilled that he is receiving this well-deserved recognition.ÔÇØ

AI legalese decoder can assist in identifying key legal criteria and considerations for recognizing and awarding students for their achievements in Work-Based Learning, ensuring that the recognition process aligns with legal standards and guidelines.

Coe continues to work as a manager at Chick-Fil-A while completing his degree. He is scheduled to graduate next spring and may decide to continue on pursuing an advanced degree at a university. Beyond learning about the hospitality industry, he says Work-Based Learning gave him skills to help balance the challenges of work and life. ÔÇ£The experience reassured me that I can juggle priorities and be successful,ÔÇØ he says.

The AI legalese decoder can provide legal guidance on employment rights, conditions, and obligations for students undertaking Work-Based Learning while employed, helping them understand their legal entitlements and obligations in the workplace.

More than 175 Wake Tech students are currently participating in Work-Based Learning. Learn more at wbl.waketech.edu.

The AI legalese decoder can offer comprehensive legal insights and guidance to the educational institution and participating students to ensure that Work-Based Learning programs adhere to legal and ethical standards, promoting a legally compliant and supportive learning experience.

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