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Whispers from Above is a creative project that aims to normalize the conversation and validate the emotional experience of grief, through the use of art therapies. Art therapy can be expressive in which someone creates their own work, such as visual art, poetry, performance, music, movement, etc. Art therapy can also be receptive in which someone analyzes and understands someone else's artwork. This project was released on SoundCloud in order to make grief resources more accessible to all and to build an online community.<br/><br/>Whispers from Above worked with twelve poets, fifteen artists, six different interviewees, and multiple musicians to create a month of grief support. The finale piece of Whispers from Above was devised from the twenty-nine poems used within this month-long healing journey. All the individual poems were woven into a single devised poem to be presented as the final piece symbolizing that no one is alone in grief.<br/><br/>Whispers from Above is creative community exploration of grief, loss, and death in which we hope contributors, and listeners find solace and support. This series will exist on SoundCloud after March 27th, 2021 with a monthly release of a poem or interview accompanied by art, and music.
The pandemic that hit in 2020 has boosted the growth of online learning that involves the booming of Massive Open Online Course (MOOC). To support this situation, it will be helpful to have tools that can help students in choosing between the different courses and can help instructors to understand what the students need. One of those tools is an online course ratings predictor. Using the predictor, online course instructors can learn the qualities that majority course takers deem as important, and thus they can adjust their lesson plans to fit those qualities. Meanwhile, students will be able to use it to help them in choosing the course to take by comparing the ratings. This research aims to find the best way to predict the rating of online courses using machine learning (ML). To create the ML model, different combinations of the length of the course, the number of materials it contains, the price of the course, the number of students taking the course, the course’s difficulty level, the usage of jargons or technical terms in the course description, the course’s instructors’ rating, the number of reviews the instructors got, and the number of classes the instructors have created on the same platform are used as the inputs. Meanwhile, the output of the model would be the average rating of a course. Data from 350 courses are used for this model, where 280 of them are used for training, 35 for testing, and the last 35 for validation. After trying out different machine learning models, wide neural networks model constantly gives the best training results while the medium tree model gives the best testing results. However, further research needs to be conducted as none of the results are not accurate, with 0.51 R-squared test result for the tree model.
Through the research of the temporary built environment, technology and experience, in addition to the relationship between the three, a better understanding of how the interior design can shift to accommodate our changing society and desire for ephemeral experiences were developed. Pop up installations and events were studied to understand not only how they are designed and built within existing environments, but also to learn about the impressions they leave on viewers. Furthermore, social media trends in relation to the temporary environments have been observed to understand their influence on design. This means of communication has added a layer of complexity to these experiences and how they are now inherently connected to cater to the desires of Millenials and Centennials. Technology-based research will be necessary to then explore in a creative project how both interiority and technology relate to create experiences.
Ultimately, two creative projects were developed, which demonstrate the relationship of technology and interiority in the creation of experiential environments, by constructing two interactive design-build pieces. This was done through the combination of theory and creative project, or praxis, which highlighted existing research and explored new applications for use in the world of interior design.
The research in this thesis has two main components: the study of interior environments, especially those created as pop-ups, and also the study of technology along with its relationship to the built environment and human interaction. For the technology component, different interactive technologies have been explored by learning how to write code in order to use an Arduino system and python language to manipulate light, sound, and projection. As a result, two interactive light pieces were created which harnessed the power of technology to transform the built environment into a memorable experience.