# data[].attributes.body
List of Contents:
Note: Details/examples/templates are located on the white panels below this 'at a glance' panel.

Focus /flare?
Glossary building
Group blog/forum
Give me 5
Sequences
Unscramble
Time it
My thoughts v How I put it
Q&A Open Questions
What does success look like?
Information Gap
Sort it out!
Research and Feedback to Plenary
Problem-Solving: scenarios

# data[].attributes.body
Why discuss?
To learn/ find out what others think?
To share a points of view?
Is there a specific right/wrong answer?
Are learners expected to 'know everything'?
Set up expectations/ conditions so your  reluctant speakers get braver and your more flamboyant learners share the air time
Ground rules...?

# data[].attributes.body
Note: Details/examples/templates are located on the white panels below this 'at a glance' panel.

e-journal

1-1 - Meet
Surveys in Forms with responses automatically saved to an excel spreadsheet! Nice!

Mote recording - can be saved; great for learners who don't want to write much down

Before you go ... Exit Ticket
e-portfolio - individual: allows you to target questions beautifully.
Before and After
Tell me more
Specific:  'Ask a Question' in Stream chat
Checklists
Shared group forum (agree ground rules first )
Scaffolding: give starts of sentences to get learners started

Guide: how many points are you hoping for? Tell learners

Priming: give advance warning - which categories will learners consider?

Give time:  feedback squeezed in  last minute? Tired learners? = quick, less in depth responses :(
I

# data[].attributes.body
e-Journal: group/ individual - a chance to create at least a log and at best a reflective, informative and valued resource.

# data[].attributes.body
Exit tickets: create in Google Forms

# data[].attributes.body
Note: Details/examples/templates are located on the white panels below this 'at a glance' panel.

What I wanted to say v What I actually said

Share a checklist in Keep: see video and ideas x 2 Keeps
SWOT analysis
Why, Why, Why?
3+; 1-
Shared Journal/e-portfolio
Upgrades
Pros and Cons and Grey Areas

# data[].attributes.body
Learners type points/questions on post its on Jamboard to assess/ give feedback.

# data[].attributes.attachment_link.description
The version of the browser you are using is no longer supported. Please upgrade to a supported browser. Dismiss

# data[].attributes.body
Try a timeline / picture representation where learners can position their icon far away/  near the 'goal'. Capture, save and
revisit to view progress.

# data[].attributes.body
Scoping a proposal/project
How long do your learners think a task will take to learn?
How many items do they think they can remember? etc
How much will their materials cost (ball park figure)
How much time will they have to invest?
How realistic are their expectations?
How ambitious are their dreams?
How manageable/modifiable?
How many steps do they imagine are involved in a process?

# data[].attributes.body
Note: Details/examples/templates are located on the white panels below this 'at a glance' panel.

Prioritise
Multiple choice: Plus, minus, not sure,
Surveys
Self select - graded tasks, colour code
Familiar, unfamiliar, like to know

3/5/7 Motivating numbers
Quick Progress Check: Confidence  Skills 1- 5
SWOT Jamboard
Where are you now?
Need to know next

# data[].attributes.body
Concentrate on one answer? (Focus)
Expand for imaginative responses? (Flair)

# data[].attributes.body
Learners explain the values (strengths, weaknesses, opportunities, threats) of a project

# data[].attributes.attachment_link.title
Strengths, Weaknesses, Opportunities, Threats (SWOT) - Google Jamboard

# data[].attributes.headline
Tutor's Feedback/Formative Assessment: at a glance

# data[].attributes.subject
Tutor's Feedback/Formative Assessment: at a glance

# data[].attributes.body
Note: Details/examples/templates are located on the white panels below this 'at a glance' panel.

Mote/ ScreenCastify recording
Demonstration
Model a good one
What does outstanding look like?
When is 'good enough' enough?
Milestones
Timelines
1-1
Top Tips
Wish List
Pictures/videos - show and prompt
Rewards

# data[].attributes.body
Learners assess progress: they refer back to an earlier point in their course/ their journal/ their reflections.
What did they hope to achieve? Can they now explain what they have learned? What do they have to show for their work? Could they teach another learner that skill yet?

# data[].attributes.body
and checklist.
Prime listeners to focus on particular aspects of a talk or demonstration so they can create a virtual 'tapestry' afterwards.

# data[].attributes.body
1-1, Meet, small group, plenary

# data[].attributes.body
What do you want to know?
Help learners to formulate responses

# data[].attributes.body
What's needed? A definite yes/no or a flexible maybe?

# data[].attributes.body
Recognise achievement in some way which could be agreed with your group or could be a surprise.

What are the milestones along the way? What will your learners be pleased to be able to do? How will they recognise their own achievement.

(Badges, certificates and acknowledgements are not just for kids.).

# data[].attributes.body
A good way to examine/ manage expectations.
What is the gold standard for an assignment milestone/ end point?  Can you/ the learners  show what that looks like?
Can learners comment and ask questions about the model(s)  shown?
Is a beginner likely to achieve the same as a more experienced learner?
What is the time investment to achieve such a result?

# data[].attributes.headline
Audio file - try downloading  'Mote' . It works in GC stream, in classwork in the comments box and in private comments. Learners don't have to download it (although they can). Really fast, super easy, very personalised.

# data[].attributes.subject
Audio file - try downloading  'Mote' . It works in GC stream, in classwork in the comments box and in private comments. Learners don't have to download it (although they can). Really fast, super easy, very personalised.

# data[].attributes.body
Screen Castify: up to 5 minutes free video- making. Save to BAL youtube channel. Post on GC to learners.

# data[].attributes.body
F2F, in Meet
online ,

# data[].attributes.headline
Glossary building:  researching sharing, learning

# data[].attributes.subject
Glossary building:  researching sharing, learning

# data[].attributes.body
Learners pool their knowledge of technical terminology,  then agree to research and double-check  an element of the full task.  They contribute to a single, shared template.

Team work

# data[].attributes.body
agree guidelines,
keep it going
continuuum
monitor and refer to this valuable course document

Each learner contributes to a shared blog/ stream/forum within GC

# data[].attributes.body
Set targets to generate reasons/ points.

# data[].attributes.body
Works well with a process.
Learners agree a timeline
applying logic and planning.

# data[].attributes.body
Add a timer:  a great way to focus the mind.
You can deliberately allow:
plenty of time
enough time
not enough time
Why not ask learners to say how long they think they need?

Sometimes you may need the task to be finished.
Sometimes you can set different ground rules: e.g.    'I may have to stop you before you have finished. That's ok. Make a note of what else you wanted to do'.

Give a warning before 'time up' so that learners are not flustered.

# data[].attributes.body
Considered response
humour: complaint, reframing, register, vocab

# data[].attributes.body
Check learners know that these open questions lead to longer answers.
Priming session: practise coming up with the kind of questions which support a speaker, helping them to tell their story/ explain themselves more easily.

# data[].attributes.headline
What does success look like? Learners can contribute:

# data[].attributes.subject
What does success look like? Learners can contribute:

# data[].attributes.body
Images
Discussion
Video
Presentation
Ratings
A vote
Pros and cons
Learner voice

# data[].attributes.body
"You know something I don't know. I'm going to find out what that is."
1. Create different expertise in relevant areas within the group (in pairs).

Other learners have time to confer and gather their questions together.
Reverse roles.
Either supply the 'experts' with their questions in advance, or allow them to answer on the spot.
Ensure 'experts' are comfortable with noting down unresolved questions and do not feel they absolutely must know everything.

# data[].attributes.body
vocabulary, sequences, acronyms
(Easily created in Prowise, then upload and assign)

# data[].attributes.body
concepts, priorities, + -, functionality, like dislike

# data[].attributes.body
Offer alternatives so that relative judgements can be made.

# data[].attributes.body
Prime learners to keep asking 'why' and to expect the same question back.
Maybe 5  x why? answered = a bonus!

# data[].attributes.body
Learners use their knowledge and skills to critique an example you have prepared.
The 'upgrades' could be implemented and then re- presented for further consideration.
A good way to develop the language and understanding of a 'work in progress', and to model the way to receive constructive cricticism.

# data[].attributes.body
Group / Personal
Create individual e-portfolios where learners can log their thoughts.  You could steer this with questions on Google Slides.

# data[].attributes.body
Pool ideas between learners on how/ where to find suitable research and crediting the source.

Encourage learners to do this work themselves in pairs and share.
Agree criteria: what exactly is required? How many examples? How much time  will be allocated to presenting and sharing?
I s a deadline in order?
Images or text or other format?
Check copyright and discuss issues around fake news/ advice / safety if appropriate?

# data[].attributes.body
Learners come up with
3 positives +  1 suggestion of ways to improve a project.

# data[].attributes.body
Agree scripted/ scaffolded prompts/ categories with points attached to help learners ask meaningful questions.
Reminder: open questions promote longer answers (what, where, why, how, when)
Closed questions etc (Do you/ did you/ have you) lead to short yes/no answers

# data[].attributes.body
need/want/nice to know
1- 5
purpose/audience

# data[].attributes.body
30 seconds - 5 mins; learners share their story/work/concerns/ process - combine with 'Tapestry' active listening so everyone has a job to do.
Keep it low key for low stress
Give guidelines if you're looking for particular outcomes.
Focus on the way your presenter tackled something: decision making/ solving problems/ researching. Take the emphasis off the presenter in the spotlight.
Step back from being the 'expert' so  your learners can comment/ask questions.

# data[].attributes.body
More than one answer possible
yes/no/maybe
true/false/ not sure

# data[].attributes.body
Post scenario into Google Stream or Classwork as  Question/Assignment for discussion/ pair work in class. Learners are primed and can therefore prepare in advance.

# data[].attributes.body
Learners chart clear points, log 'don't knows' and 'grey areas'.

# data[].attributes.body
Ask one question at a time.
Ask what you need/ want to know.
Keep the survey short
e.g.
What do you know already about this subject ?
What can you do now?
What do you need to help you move on with your project?

# data[].attributes.body
easy - green
medium - orange
hard - red

# data[].attributes.body
they can be evaluative, quantifiable, organisational...visual

# data[].attributes.body
early stage 'where am I now' self assessment
Offer concept statements with a checklist and finally a request box.