Designing a Learning Analytics Dashboard

  1. Participation: This technique helped to analyze the problem at hand from the perspective of the user and helped to uncover the cause-and-effect relationship I have been given access to the RFID lab course for this work, from where I deduced that this is a case-based learning course, where after reading a case, an experiment has to be performed in the virtual reality environment of the lab. The learning goal of the lab is, a student needs to find the activation temperature of RFID transponders. There were videos available on Moodle, along with quizzes and a separate lab portal.
  1. Negative Brainstorming: The idea behind this method is to negate the challenges to the extreme opposite. For instance, “How can the world become a better place?” will convert to “How can I create a hell on earth?”. Then, after brainstorming about the negated challenge, randomly take the brainstormed ideas and transformed them into solutions for the original challenge. In this case, the challenge is to “How well can the data fetched by xAPI be displayed?”. This is converted to “How badly can the data fetched by xAPI be displayed?”. The ideas generated were:
  1. Low Fidelity Prototype: This is the low-cost or zero-cost prototype and is hand-drawn or digitally drawn in nature. It can be no interactive or interactive depending upon the idea generated in the last phase. This helps to get a clear structure and spacing of the web application. Focus is more on the substance rather than the details and hence helps to communicate the idea to the user in a better way.
  1. Heuristic Evaluation: It is conducted by a group of UI/UX experts and they determine whether the design is following Nielsen’s 10 golden rules or not. 
  2. Think-Aloud: In this method, the user uses the system and speaks about their movement in the system. This is how a designer can understand whether the design is easy enough for the user to navigate.
  3. Questionnaire: A set of questions asked to the users regarding the design to understand the effectiveness of the design.
  1. Have you taken any Design-related courses? / Do you have any knowledge about learning analytics? 
  2. Describe your experience in: In designing software. / Describe your experience of using learning analytics.
  1. Task 1 (ST1): Interact with the graphs (any of zoom in or out, select area to analyze, download charts, etc.) 
  2. Task 2 (ST2): Check out the data generated in form of a table and perform operations like searching a name and sort any of the numeric columns as per the user’s wish. 
  3. Task 3 (ST3): Determine the transponder and substrate selected for the experiment from the graph. 
  4. Task 4 (ST4): Review Visual Statistical data that gives an overview of the data fetched by xAPI.

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