Giter Site home page Giter Site logo

data-lessons / instructor-training Goto Github PK

View Code? Open in Web Editor NEW

This project forked from carpentries/instructor-training

4.0 4.0 7.0 55.8 MB

Carpentries SANDBOX for testing changes to instructor training course material

Home Page: http://data-lessons.github.io/instructor-training/

License: Other

Makefile 1.54% HTML 70.85% CSS 1.93% JavaScript 0.76% R 1.82% Shell 0.10% Python 19.87% Ruby 0.14% SCSS 2.99%

instructor-training's People

Contributors

abbycabs avatar abought avatar amyehodge avatar arokem avatar brownsarahm avatar christinalk avatar denubis avatar dstndstn avatar erinbecker avatar fmichonneau avatar gcapes avatar ianlee1521 avatar jduckles avatar karenword avatar kariljordan avatar katrinleinweber avatar klbarnes20 avatar laderast avatar lexnederbragt avatar maneesha avatar maxim-belkin avatar murraycadzow avatar raynamharris avatar rgaiacs avatar scottcpeterson avatar serahkiburu avatar sstevens2 avatar tobyhodges avatar tracykteal avatar wking avatar

Stargazers

 avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

instructor-training's Issues

No Amy Form fill?

Noticed that it doesn't have them do a submission to the form for Amy any more as part of checkout. Is this on purpose?

Consider adding links to GitHub repositories for contributions in Checkout episode

In the "Checkout" episode (https://github.com/data-lessons/instructor-training/blob/gh-pages/_episodes/14-checkout.md), there are great instructions on how to navigate issues and pull requests in GitHub, but there isn't yet information on where the repositories are and how to navigate them. Either providing links or giving instructions on how to get to the "Source" from episode webpages would be helpful for learners, since there are quite a few repositories and they might be confusing for those unfamiliar with their structures.

'Choosing our Praises' exercise missing explanation of types of praises

It seems the section that explains the types of praises in the episode "Motivation and Demotivation" was removed in this commit, but the exercise "Choosing our Praises" right after that section asks to identify between "performance-based, effort-based, or improvement-based praise". These are new words with that text removed. Should it be brought back?

I don't see an obvious reason why this was removed. If I'm reading it correctly, the commit says:

#Move these items to References, then link above and delete

Maybe the edit left the exercise orphaned and it needs to be removed too?

How We Operate update has likely inaccuracies

In particular, it needs feedback regarding branding as it relates to mix-and-match workshops as well as incubator lessons, and all the grey areas in between.

Will seek to resolve some of these on the main repo

Referencing a Discussion in an issue (test)<!--

👋 Welcome!

We’re using Discussions as a place to connect with other members of our community. We hope that you:

  • Ask questions you’re wondering about.
  • Share ideas.
  • Engage with other community members.
  • Welcome others and are open-minded. Remember that this is a community we
    build together 💪.

To get started, comment below with an introduction of yourself and tell us about what you do with this community.

Originally posted by @karenword in #44

flagging issues more clearly

came up in previous discussion: how to flag "high priority" issues (GH sorts by time, which is not ideal) and then communicate that to trainers. Put in README or CONTRIBUTING.

Suggestion to reframe 'Do no harm' section in Motivation episode to positive actions

In 'First, Do No Harm' section in Motivation episode, there is a list of 'don't do this', but can it be reframed by listing positive actions with 'what to do to motivate/engage learners'? Our brain has a negative bias and we may actually do harm by learning those points, such as saying 'just'.
A few example suggestions are:
"Take over the learner's keyboard" -> "Let the learner type"
"Pretend to know more than you do" -> "Be authentic"
"Dive into complex or detailed technical discussion" -> "Always talk to the class with things they have learned"

Section Titles & Core Outcomes

Three core outcomes that could be considered as guiding principles for this curriculum are:

  • It’s about THEM. (not you) Empathize (+that may be difficult)
  • Teaching is a skill (learned, practiced, and has evidence-based best practices)
  • A first tool for your toolbox: (most likely to be 'Slow Down')

Section titles should, alone, convey a narrative consistent with our desired core outcomes. They should also be easy to read, write on a white board, and should accurately apply to all content in the module.

Proposed changes:
How Learning Works: The Importance of Practice -> something catchy about skill
How Learning Works: Expertise and Instruction -> Expertise and Instruction
How Learning Works: Working Memory and Cognitive Load -> Working Memory and Cognitive Load
Building Teaching Skill: Getting Feedback -> Building Skill with Feedback
Creating a Positive Learning Environment: Motivation and Demotivation -> Motivation and Demotivation

  • recommend separating detailed accessibility content into separate section as it is relevant but not entirely described by motivation. Retain references to motivational importance of minding accessibility.

Creating a Positive Learning Environment: Mindset ->

  • recommend merging mindset with motivation, as it really is all about motivation.

Building Teaching Skill: The Importance of Practice -> Teaching is a skill. Let's practice! (or something shorter)
Building Teaching Skill: Lesson Study -> whatever it is after this lesson is fixed
Building Teaching Skill: Live Coding -> Live Coding
Building Teaching Skill: Performance Revised -> Live Coding II
The Carpentries: Workshop Introductions -> Starting and Ending a Workshop (with ending content).

  • recommend swapping introductions with Carpentries Teaching Practices, to close out ed content and allow introductions to draw upon logistics info presented in Operations section

The Carpentries: How We Operate -> This is fine. Could be shortened as "Carpentries Operations"
The Carpentries: Teaching Practices -> Carpentries Teaching Practices. See above regarding move.
Afternoon Wrap-Up -> Create a separate section on Carpentries Instructor Checkout prior to Wrap-up?

consider demonstrating checkout activities

I wonder if it is worthwhile for trainers to prepare an example issue in order to demonstrate how to submit an issue for the checkout process? If so, would it need to be included in the curriculum here in episode 14, or an insertion into the Trainer notes .

Last week I walked instructor trainees though the process of submitting an issue, using the screengrabs and pointers provided in the curriculum. However, looking over the feedback and questions raised during the workshop, I realise that the trainees really wanted to know:

  1. what is a good quality issue that is helpful, and
  2. what kind of change or contribution is worthwhile?

Although I talked about these topics, and gave examples, I didn't show them the whole process in action.

I have a sense that this matches up with a recent discussion in the trainers' slack channel about the difficulty for maintainers of managing pull requests around checkout time, especially ones that are not great quality, or somewhat off the mark. Demonstrating and showing what and how in a live demo seems to me to be a better way of covering expectations surrounding checkout.

Aaaaand, now that I've arrived at the end of this issue, I think the answer for where to put this suggestion is in the Trainer notes page, under section V Curriculum teaching tips. However, I'm interested in other peoples' suggestions for approaching this episode.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.