Example Reflection : Learning Launch 

 Challenge    COVID-19 season has presented a myriad of challenges especially in the economic sphere . I was   made aware of the predicament of casual labourers , mostly women who throng middle and high   class settlements for menial jobs of house cleaning and laundry for a daily living . When COVID- 19 happened , these jobs were no more . Many households stayed away from such hirings due to   the fear of exposure since the workers come from crowded informal settlements and believed to   be more exposed . Other than this , there have been instances where such workers upon hire steal   from their employers since there is seldom time for background checks to ascertain their integrity   levels .    In a bid to address this discrepancy since the menial workers need their daily bread while the   middle and high class dwellers need this service , I have an idea to work on a one - stop platform   that carries due diligence including checking on criminal records of people seeking homemaking   jobs , a feedback channel with ratings of previous works , payment platform and those who need   the service . My immediate thought is to create a digital platform . However , given that parties to   be featured will require a proper gadget and funds to get them online so as to be able to connect   with their potential clients / service providers . My assumption from conversation I have held with   some of the targeted is that this will provide a lasting solution about the workers finding   continuous jobs and home owners banking on the system to guarantee safety of their households   and good service at a fee .     Selection   I settle on learning launch enables me to test the target audience , my execution plan and confirm   or dispel my assumptions . The users are readily available in my environment so reaching out to   them comes at no cost . I already built a rapport with them since I have been fundraising and   gifting a number of them with care / food packs .     Application   My idea is still in the formation stage . But having heard from Luis Ramirez , I got an aha ! moment . I   now know I can test to confirm or disconfirm my data and make an informed decision of next   steps as illustrated in the following diagram ; 

 Insight and Approach   My greatest insight from Luis Ramirez is that I have to do an experiment . I am going to test my idea   to again , either confirm or disconfirm my data . I do not have to invest so much seed money , time   and effort only to end up with a failed project . No .    I am going to get out there and address my “ confirmation bias . ” Before this course , I knew mine   is the greatest idea . Luis Ramirez has woken me from that slumber .   I am going to engage both the workers and those who need the services to understand what my   target ’s real need is and not the assumed needs , and discuss out with them what they think could   be the most appropriate solution , share my presumed execution and defensibility plan so as to   find a point of convergence . I have to “ confirm my facts ” to gain the confidence that my idea is   worth continuing with . The diagram below ably describes it ; 

 I am excited ! 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Example Reflection : Learning Launch 

 Challenge    COVID-19 season has presented a myriad of challenges especially in the economic sphere . I was   made aware of the predicament of casual labourers , mostly women who throng middle and high   class settlements for menial jobs of house cleaning and laundry for a daily living . When COVID- 19 happened , these jobs were no more . Many households stayed away from such hirings due to   the fear of exposure since the workers come from crowded informal settlements and believed to   be more exposed . Other than this , there have been instances where such workers upon hire steal   from their employers since there is seldom time for background checks to ascertain their integrity   levels .    In a bid to address this discrepancy since the menial workers need their daily bread while the   middle and high class dwellers need this service , I have an idea to work on a one - stop platform   that carries due diligence including checking on criminal records of people seeking homemaking   jobs , a feedback channel with ratings of previous works , payment platform and those who need   the service . My immediate thought is to create a digital platform . However , given that parties to   be featured will require a proper gadget and funds to get them online so as to be able to connect   with their potential clients / service providers . My assumption from conversation I have held with   some of the targeted is that this will provide a lasting solution about the workers finding   continuous jobs and home owners banking on the system to guarantee safety of their households   and good service at a fee .     Selection   I settle on learning launch enables me to test the target audience , my execution plan and confirm   or dispel my assumptions . The users are readily available in my environment so reaching out to   them comes at no cost . I already built a rapport with them since I have been fundraising and   gifting a number of them with care / food packs .     Application   My idea is still in the formation stage . But having heard from Luis Ramirez , I got an aha ! moment . I   now know I can test to confirm or disconfirm my data and make an informed decision of next   steps as illustrated in the following diagram ; 

 Insight and Approach   My greatest insight from Luis Ramirez is that I have to do an experiment . I am going to test my idea   to again , either confirm or disconfirm my data . I do not have to invest so much seed money , time   and effort only to end up with a failed project . No .    I am going to get out there and address my “ confirmation bias . ” Before this course , I knew mine   is the greatest idea . Luis Ramirez has woken me from that slumber .   I am going to engage both the workers and those who need the services to understand what my   target ’s real need is and not the assumed needs , and discuss out with them what they think could   be the most appropriate solution , share my presumed execution and defensibility plan so as to   find a point of convergence . I have to “ confirm my facts ” to gain the confidence that my idea is   worth continuing with . The diagram below ably describes it ; 

 I am excited !
### Output: 