6 Matching Annotations
  1. Apr 2024
    1. Nevertheless, despite the impact of multimedia tools on the improvement of teaching and learning activities, it could be counterproductive if the computer-based tools are not properly designed or the instructional materials are not well composed.

      Quality is very important

  2. Mar 2024
    1. We also list some best practices and design principles to ensure better quality designs for children of different ages.

      The ages thing I needed

  3. Jan 2024
    1. The Evaporative Cooling Effect describes the phenomenon that high value contributors leave a community because they cannot gain something from it, which leads to the decrease of the quality of the community. Since the people most likely to join a community are those whose quality is below the average quality of the community, these newcomers are very likely to harm the quality of the community. With the expansion of community, it is very hard to maintain the quality of the community.

      via ref to Xianhang Zhang in Social Software Sundays #2 – The Evaporative Cooling Effect « Bumblebee Labs Blog [archived] who saw it

      via [[Eliezer Yudkowsky]] in Evaporative Cooling of Group Beliefs

  4. May 2021
    1. This approach also splits email development for modern email clients and older clients in two. You can use Safari/Chrome to test and develop modern techniques for WebKit-supported clients while using Firefox for your baseline experience for older clients like Outlook.
  5. Aug 2020
  6. Aug 2018
    1. A promising approach that addresses some worker output issues examines the way that workers do their work rather than the output itself, using machine learning and/or visualization to predict the quality of a worker’s output from their behavior [119,120]

      This process improvement idea has some interesting design implications for improving temporal qualities of SBTF data: • How is the volunteer thinking about time? • Where does temporality enter into the data collection workflow? • What metadata do they rely on? • What is their temporal sensemaking approach?