Frequently Asked Questions¶

When to follow the course¶

When should I follow this course?¶

When you want to decide to use Mermaid yes/no.

When should I consider to not follow this course?¶

These are the reasons to consider to not follow this course:

Reason 1: you want to use Mermaid in an advanced way¶

When you have done your first Mermaid diagram and expect to learn new and more advanced things.

In this case, the course will go too slow for you.

However, you will probably be put to work by the teachers to help out other learners. If you like to test your own knowledge by teaching others, you will likely thrive in the course.

When you have social anxiety.

In this case, the course will be too social for you.

However, in this course, it is perfectly OK to give a wrong answer or to say 'I do not know'. This is what a former learner had to say on this:

You are welcome to try and leave anytime you want. The course material is made for self-study too, with videos for all exercises. Do fill in the evaluation when you leave early :-)

Teaching¶

Why is the course learner-centered?¶

Because that is good teaching.

This course defines good teaching as 'evidence-based methods to let learners acquire new skills and the monitoring of this acquisition'. This means that it should be observed that learners need more/less to time to practice and following the schedule based on that. Learner-centered teaching has an effect size from 0.36 [Hattie ranking] or 0.64/0.70 [Cornelius-White, 2007][Hattie, 2012].

References¶

[Cornelius-White, 2007] Cornelius-White, Jeffrey. "Learner-centered teacher-student relationships are effective: A meta-analysis." Review of educational research 77.1 (2007): 113-143.
[Hattie, 2023] Hattie, John. Visible learning: The sequel: A synthesis of over 2,100 meta-analyses relating to achievement. Routledge, 2023. The effect size of lecturing can be found on page 363, which has an effect size of -0.26 with a robustness index of 4 out of 5 and is based on 3 meta analyses using 273 studies using 27,296 people, measuring for 614 effects with a standard error of 0.08. One example open access study is [Knight & Wood, 2005].
[Hattie ranking] The Hattie Ranking
[Knight & Wood, 2005] Knight, Jennifer K., and William B. Wood. "Teaching more by lecturing less." Cell biology education 4.4 (2005): 298-310. paper