Mindmapping 

 Designing for learning spaces is a whole new challenge I faced when I first embarked on my internship journey . Instead of just straight up jumping into the design , we relied on the process of design thinking . Human - centered design was the best approach to this project . Instead of relying on our perspective , we had to know what do the actual users think of the provided space , and what opportunities do they see . Through that , the design will then benefit the current users , mainly consisting of students and lecturers . 

 The first stage was researching on classroom design . Second stage was conducting interviews with various stakeholders . Thirdly was extracting insights . Now this is where mind - mapping comes in . We had a large group of data , from the various interviews that we conducted . The data was also all over the place , which did not help us at all in our design ideation . We then turned to mind - mapping . This helped us to organise the insights . Through that , we were able to see the basic pattern , and the similarities and differences . For example , many interviewees mentioned faulty power sockets , which quickly moved up to be one of our main priorities . Other similar insights were more focused on how the current furniture is not beneficial and how the atmosphere and dull and boring . 

 Unlike before , when our data was all strewn over , mind - mapping them , gave us a much better insight on what users want . This later helped us in coming up with the design guidelines and criteria , and finally in crafting the final design . We also were able to focus on themes that the users find most relevant and important . Through this tool , I believe that all our team members were also on the same page . Before , we all had different ideas , different solutions that we wanted to implement . This resulted in our design proposals to be incoherent , with no definite language . However , now , we are aware of the main design intent , which causes our proposals to be more in line with each other . 

 One thing that I might do differently is to compile these insights as a team , instead of personally doing it myself only . Currently , I was the only one who was working on the mind - mapping , which is a disadvantage as the themes and compilations are mainly based on my understanding and perspectives . As a team , there would be more inputs from others , which would further be able to refine the insights . 


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: Mindmapping 

 Designing for learning spaces is a whole new challenge I faced when I first embarked on my internship journey . Instead of just straight up jumping into the design , we relied on the process of design thinking . Human - centered design was the best approach to this project . Instead of relying on our perspective , we had to know what do the actual users think of the provided space , and what opportunities do they see . Through that , the design will then benefit the current users , mainly consisting of students and lecturers . 

 The first stage was researching on classroom design . Second stage was conducting interviews with various stakeholders . Thirdly was extracting insights . Now this is where mind - mapping comes in . We had a large group of data , from the various interviews that we conducted . The data was also all over the place , which did not help us at all in our design ideation . We then turned to mind - mapping . This helped us to organise the insights . Through that , we were able to see the basic pattern , and the similarities and differences . For example , many interviewees mentioned faulty power sockets , which quickly moved up to be one of our main priorities . Other similar insights were more focused on how the current furniture is not beneficial and how the atmosphere and dull and boring . 

 Unlike before , when our data was all strewn over , mind - mapping them , gave us a much better insight on what users want . This later helped us in coming up with the design guidelines and criteria , and finally in crafting the final design . We also were able to focus on themes that the users find most relevant and important . Through this tool , I believe that all our team members were also on the same page . Before , we all had different ideas , different solutions that we wanted to implement . This resulted in our design proposals to be incoherent , with no definite language . However , now , we are aware of the main design intent , which causes our proposals to be more in line with each other . 

 One thing that I might do differently is to compile these insights as a team , instead of personally doing it myself only . Currently , I was the only one who was working on the mind - mapping , which is a disadvantage as the themes and compilations are mainly based on my understanding and perspectives . As a team , there would be more inputs from others , which would further be able to refine the insights .
### Output: 