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A.Kardiakou
  • Welcome
  • OuLu LET
    • LET Learning Journals
      • LET LJ Course 01
        • 1st Entry: Goals and Expectation of LET
        • 2nd Entry: Researchers Presentations
        • 3rd Entry: Research Presentations
        • 4th Entry: Perspectives on studies
        • Study Culture in LET
        • Doctoral Defence
        • Academic Reading & Writing
          • Session 1
          • Session 2
          • Session 3
          • Final Assignment
      • LET LJ Course 02
        • Week 1
        • Week 2
        • Week 3
        • Week 4
        • Week 5
        • Week 6
        • Week 7
      • LET LJ Course 03
      • LET LJ Course 04
        • Session 1 - 29.10
        • Session 2 - 5.11
        • Session 3 - 12.11
        • Session 4 - 14.11
        • Session 5 - 19.11
        • Session 6 - 21.11
        • Session 7 - 25.11
        • Session 8 - 28.11
        • 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
        • Quantitative Methodology 5.02
      • 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
      • LET LJ Course 07
        • 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
      • LET LJ Course 10
      • LET LJ Course 11
      • LET LJ Course 12
      • LET LJ Course 13
      • LET LJ Course 14
      • LET LJ Course 15
      • 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
        • LEnv Theme E Workshop 13
        • LEnv Theme E Workshop 14
        • LEnv Theme E Workshop 15
        • LEnv Theme E Lecture Reflections
        • LEnv Final Project The Projrct
        • LEnv Final Project Project Reflections
      • LET LJ Course 18
        • EduTech Project 28.01
        • EduTech Project
        • EduTech Project 06.02
        • EduTech Project 20.02
    • LET Semester Diaries
      • 1st Semester Diary
      • 2nd Semester Diary
      • 3rd Semester Diary
      • 4th Semester Diary
      • Graduation
    • LET Learning Profiles
    • LET Miscellaneous
      • Kummi Family
      • UniOulu Ambassadors Journey!
      • Mindcraft Events
      • Playlab AI PLC
      • ICE Method in Writing
      • HI Data Forum
      • David Lynch & the AI era of things
A.Kardiakou

LET Learning Journals

Orientation to Master’s Studies

Academic Reading & Writing

Session 3

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Navigating: Academic Reading & Writing Sessions

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How easy is it to re-compose a scientific article?

Spoiler: Very hard

Table of Contents

Collaborative task (Part 1): Reconstruct a scientific article
The Challenges
The Results
How did we do compared to the original article?
Kind of like this...
Collaborative task (Part 2): Analysis and Discussion
Our key takeaways from Academic Reading & Writing + comments
Some future considerations

A visual by Klawe Rzeczy 

Collaborative task (Part 1): Reconstruct a scientific article

In this session, the main task was to reassemble a scientific article in a correct structure, out of shuffled paper cut-outs of its sections and paragraphs.

We were divided into small groups of 2-3 people and were given a large paper board, a packet of the paper cutouts which had the paragraph numbers hidden,tape and a pair of scissors.

Each team was given cutouts from a different scientific article. 

Our article was "How do types of interaction and phases of self-regulated learning set a stage for collaborative engagement?",by Sanna Järvelä et al. (2016) and can be found here.

The cutouts included section titles, like 'Introduction', 'Methods', paragraph contents as well as graphs and tables. The goal was to collaboratively figure out how to recompose the article putting all those pieces in the correct order.

The Challenges

Some main challenges that we faced and discussed as a team were:

  • Do we remember the scientific article structure? Can we put the sections in order?

  • Do we separate the cutouts into categories or look at them all together?

  • What is our method for dealing with the content of the different sections? How do we figure

  • Which article section is the easiest to begin with? 

  • How do we determine ? How do we combine content cutouts? Do we read the whole paragraph or try to locate keywords? 

The Results

How did we do compared to the original article?

Taken from Bored Panda - Drawings

Kind of like this...

  • Putting the 'Methods' and 'Results' together was really difficult, due to the dense paragraph sections that had no obvious connections to eachother. Also, figuring out the correct place to put the graphs and tables was a problem, but we were told not to focus so much on that part because their placement varies from one article to another. 

  • The 'Conclusions' section compared to 'Discussion' was also hard to differentiate and we ended up mixing sections from one another.

  • Overall, the process was very creative and I enjoyed it!

Collaborative task (Part 2): Analysis and Discussion

After we had reconstructed the article, we were asked to present our workflow, and then think of our final takeaways from the three relevant sessions.

Our key takeaways from Academic Reading & Writing + comments

  1. It is complicated!

It is not easy to read scientific material, let alone compose one! Scientific texts are very dense, heavy on terminology and. Two things to keep in mind:

  • The art of skimming 

  • Read with a purpose (!)

  1. Stay consistent - form a structure in your mind

Even if it is difficult, it is important to stick to a reading schedule and follow it. Reading scientific material as well as writing is a skill that can be developed if one stays consistent and slowly forms a structure of the steps they have to follow to be efficient.

  1. Zotero ⭐⭐⭐⭐⭐ (5 star application)

Zotero helped tremendously in refining my academic reading routine and making it more efficient!

  1. The importance of open research resources

We would not be able to practice our skills of academic reading & writing if there were not free and accessible scientific materials. Open science benefits everyone and should be a universal practice.

Some future considerations

by Ridwan Whitehead

•Always follow APA structure for a scientific report!

•Make sure you follow guidelines for paper format! (inc. title page, etc.)

•NEVER plagiarize! You will fail the course! (Is using ChatGPT plagiarism? No (at least according to me). - Is copying someone elses (a person) work and presenting it as your own? Yes.)

•Teachers can tell when you have heavily used ChatGPT!!

•When using AI summarizers, ALWAYS double check the source!

•Purposeful reading is your best friend! (why am I reading what I am reading?)

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