DMP Week 3

Feedback:

Analyse feedback on moodle and fix up your project plan so that you can start data collection

-Apendix, Storyboard 
-Literature review, Compare the sources more and include more of them, Link back to each source and synthasise what you have gathered and how it relates to the overall research
-Research question, Make it more of a question 💚
-Redo title make it more clear and define the research more 💚
-Intro, should incklude a clear rationale for my project, provide context and explain its importance 💚 (just maybe add a source somwhere in the para)
 
-Delve deeping into algortihms and other ways recommender algorithms work 
-Some objectives, Some of them need to be slipt as they are two 💚
-Define your sampling method, why students, how many, and how I will recruit them 💚
-Specify the equipment you plan to use to record your visual 💚
-Explain how you will edit your video with examples and sources to define 💚
-use in text citations to refer to the appendicies, and title and clean them up 💚
-Proofread
-Personal development plan redo 💚

_____________________________________________________________________________________

Data collection:

-use the most appropriate plots to place your data in your report
-make sure it is clear and easy to understand
-make sure the labbeling is corrects
-Include (N) for number of respondents to a question
-dont inlcude too many charts

Types of data visualisation: ethnography 
-Column charts
-Bar charts
-Clustered column chart
-Stacked column chart
-Line chart
-Area chart
-Pie chart
-Tables

Types of data visualistaion for qualitative data: Interviews 
-Word clouds / A visual represeantation of the most frequently used words throughout the interviews


-Wordart.com is easy to use to create these 
-Good example of how I can structure my data visualisation


For my autoethnography I will be keeping a recorded and written journal detailing my experience and with spotify and capturing my thoughts on the research question and objectives

-Word clouds from my journaling 
-Pie charts from my experiment / How did I feel / Etc 



Comments

Post a Comment

Popular posts from this blog

DMP Week 2

Image
Reflective practice: -learn from what you do so that you can improve your future practice  -revising and analysing your work -reflection, self awareness, critical thinking -Gibbs (1988) model of reflection  https://reflection.ed.ac.uk/reflectors-toolkit/reflecting-on-experience/gibbs-reflective-cycle -clear and precise, allows description, evaluation Descriptions: - Two lines or a para explaining what you did  Feelings: - Explain how you felt throughout the whole project and how it has changed  Evaluations: - Stand back from experience and examine the good and the bad  Analysis: - Examine your experience in depth (ask detailed questions) and identity factors that had a big impact on your work Conclusion: - Sum up key lessons learnt and indicate areas for improvement  Action plan: - If you were to do it again, what would you do differently and how  _____________________________________________________________________________________ PM Lecture: Do wix p...
Read more

Bussiness Week 5 (Bussines model canvas)

Image
Bussiness model canvas: 1.Key partners - who are the suppliers, website hosts,  2.Key activities- The most important things you need to be able to perform to make the bussines work  3.Key resources -  ”The most important resources required to make the business work”:  • Financial, Human, Machinery, Warehousing, Distribution  • Intellectual Property, Patents, Brands  • Traffic or large Customer Base  • Trust  • Is this business feasible from your analysis? 4.Customer relationships - What is the bond with the customer. Do you have weekly teams meetings showing work  / automatic bots / Customer lifecycle /  5.Value Proposition - “The perceived benefit of products and services to your target segment”  • Directly relates to your segment – how are your creating value?  • Helps your customer address a fundamental problem or need (get a ‘job’ done) kill pains and create gains • Isn’t the technology or product per se.  • ...
Read more