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      • LET LJ Course 01
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        • Session 1 - 29.10
        • Session 2 - 5.11
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        • Session 9 - 2.12
        • Session 10 - 5.12
        • Session 11 - 9.12
      • LET LJ Course 05
        • Quantitative Methodology - Lecture 1
        • Quantitative Methodology - Lecture 2
        • Quantitative Methodology - 29.01
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      • LET LJ Course 06
        • Qualitative Methodology 17.03
        • Qualitative Methodology 20.03
        • Qualitative Methodology 24.03
        • Qualitative Methodology 27.03
        • Master's Thesis Kick-off
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        • Emerging Technologies 14.01
        • Emerging Technologies 16.01
        • Emerging Technologies 21.01
        • Emerging Technologies 23.01
        • Emerging Technologies 27.01
        • Emerging Technologies 29.01
        • Emerging Technologies 04.02
        • Emerging Technologies 11.02
        • Emerging Technologies 14.02
        • Emerging Technologies 18.02
        • Emerging Technologies 21.02
        • Emerging Technologies 25.02
      • LET LJ Course 08
        • Playfulness and Playful Learning
        • Game-based Learning
      • LET LJ Course 09
        • Learning Profile
          • Prompt 1: My expertise
          • Prompt 2: Routine and adaptive expertise
          • Prompt 3: Ongoing learning
          • Prompt 4: Collaborative problem-solving
        • Lecture Notes
          • Session 1 - 16.09.25
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      • LET LJ Course 16
        • Reflective Diary
          • Topic 1: Self-Regulated Learning
          • Topic 2: Metacognition in SRL
          • Topic 3: Emotions and Emotion Regulation
          • Topic 4: Motivation Regulation
          • Topic 5: Collaborative learning theories
          • Topic 6: Supporting collaborative learning
        • Lecture Notes
          • Session 1 - 28.10
          • Session 2 - 29.10
          • Session 3 - 4.11
          • Session 4 - 5.11
          • Session 6 - 8.11
      • LET LJ Course 17
        • LEnv About me
        • LEnv Theme A Workshop 1
        • LEnv Theme A Lecture Reflections
        • LEnv Theme B Workshop 3
        • LEnv Theme B Workshop 4
        • LEnv Theme B Workshop 5
        • LEnv Theme B Lecture Reflections
        • LEnv Theme C Workshop 6
        • LEnv Theme C Workshop 7
        • LEnv Theme C Workshop 8
        • LEnv Theme C Lecture Reflections
        • LEnv Theme D Workshop 9 + 10
        • LEnv Theme D Workshop 11
        • LEnv Theme D Lecture Reflections
        • LEnv Theme E Workshop 12
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        • LEnv Theme E Workshop 15
        • LEnv Theme E Lecture Reflections
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      • LET LJ Course 18
        • EduTech Project 28.01
        • EduTech Project
        • EduTech Project 06.02
        • EduTech Project 20.02
    • LET Semester Diaries
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A.Kardiakou

LET Learning Journals

Self-Regulation and Collaborative Learning

Lecture Notes

Session 2 - Self-Regulated Learning

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Navigating: Lecture Notes

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What is Self-Regulated Learning (SRL)?

Some key characteristics of SRL are:

  • Active process

  • Requires agency

  • Intentional effort from the learner's side to control their emotions, motivation, metacognition as they go forward with a task

How we model SRL

What is a model?

A coherent framework for us to talk about these theories


-> Zimmerman's triadic model

TODO: Write simple examples based on the triadic model e.g a learner does a task and they realize they have very little time left

Pintrich model

Went a bit further than Zimmerman 

Instead of the performance phase, he has Monitoring and Control phases

He also added areas of regulation e.g cognition, motivation/affect, behavior, context

COPES model

We don't only see phases and targets of regulation, we see more deeply what are the processes / little mechanism that happen within each phase / guide each phase

TODO: Write an example. A learner sits down to work on a task, what happens?

Products are a core part of the COPES model

Products = Outcomes of each stage

All SRL models have common grounds, they describe the same phenomena

The common ground is that all SRL models emphasize:

  • the learner's agency

  • goal orientation

  • cyclicity - goes from forethought (feedback loop)

  • situatedness - we are not learning in a vaccum, others and technology are affecting our learning processes

RESEARCH IN CELLA

Measuring and understanding secondary edu students SRL

trace data = when students are wrting, all that they do is captured by the backend of the AI environment e.g mouse clicks etc, the metadata is then put to the traces and patterns are recognised - so then feedback can be given


  • most SRL researchers in CELLA use the COPES model

GROUP TASK

Watch a video where a girl describes how she studies

Write down what you notice in terms of SRL


  1. Goal Orientation: Get the best grades that you can

  2. Techniques - Strategies: Write down something to memorize - Fit one chapter in one piece of paper

  3. Reflection - adaptation


Part 2 - Group 2: Cognition and Behavior (Based on the video)

The challenge here was to distinguish between her cognitive and metacognitive tasks

-> Study for many hours

-> Focus - be disciplined in your studying

-> Don't be lazy

-> Writing down only the things she will not remember easily

-> Writing the paper over and over in the whiteboard

-> Be active physically - have a fitness routine

-> Eat snacks 

-> Go through the lectures again with her notes

Key takeaway:

You can be a good SRL Learner but context matters: You might not activate those mechanisms at every context

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