FACULTY OF MEDICINE · LEARNING WORKSHOP19 OCT 2026 · İSTANBUL OKAN UNIVERSITY · FACULTY OF MEDICINE

How do we learn?

40-minute lecture + 10-minute question/transition buffer + two 50-minute workshops.

Prepared for Dr. Birsen Bilir Özdemir. This file opens offline. Shared classroom features and external sources require internet. Fields are stored only on this device; print or download important work.

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SUGGESTED LESSON OPENING

A learning experiment · silent presentation

Three slides without audio or video. Replace the first two introductory slides with this 90-second presentation and a 30-second transition; the lecture remains 40 minutes. Continue with the retrieval activity on slide 3.

Open silent presentation
01/24 · 0–1 min · GETTING STARTED

How do I learn in medical school?

We will explore ways to learn, check our understanding and take responsibility for our own learning.

Facilitator notes

Frame this as a lesson about learning to learn. First-year medical students will examine their own study decisions. The three core activities are retrieval, a personal learning plan and an AI decision case. Explain that the following two workshops apply these ideas to learning a topic from their committee block. Include students without devices through writing, discussion and peer comparison. Optional opening: replace slides 1–2 with the 90-second silent Learning Experiment and a 30-second transition; continue at slide 3. Keep the total at 40 minutes.

Source

02/24 · 1–2 min · STUDENT-CENTRED LEARNING

Student-centred learning: what is my role?

A student-centred lesson enables learners to think and practise in ways that serve the learning goal.

Facilitator notes

Ask students to think of a lesson that an instructor explained very well. Then ask what the student could do independently afterwards. Turn their responses into observable verbs such as explain, compare and justify. Student-centred learning does not mean the instructor withdraws; appropriate guidance is needed. Build an example together: a student can compare two transport mechanisms in terms of energy use and direction. Later, you will ask how this activity could be assessed.

Source

03/24 · 2–5 min · QUICK ACTIVITY

Close the source and recall what you know

Trying to retrieve information makes what we know more visible.

Facilitator notes

Use this as an ungraded activity and do not publicly expose individual answers. Everyone should think independently first, then compare their explanation with a neighbour. Treat identifying what is not yet known as a positive learning behaviour. When students reopen the source, ask them to note how their explanation differs rather than simply copying the correct answer. This brief experience is not, by itself, a research finding; it is a classroom exercise demonstrating the retrieval practice method we will use later.

Source

04/24 · 5–6.5 min · LEARNING THEORIES

The behavioural approach: action and consequence

Observable behaviours are examined alongside practice and their consequences.

Facilitator notes

Do not limit the example to exam scores or competitions for rewards. Choose an observable behaviour, such as attaching a genuine source to every claim. Discuss how the consequence following a behaviour might affect how often it occurs in the future. Explain that not all feedback technically counts as reinforcement; its effect must be evident in the behaviour. Emphasise that students should be asked not only for the correct answer but also why it is correct, and that this approach alone does not explain all learning.

Source

05/24 · 6.5–8 min · LEARNING THEORIES

The cognitive approach: manage the mental load

Prior knowledge, attention and working memory affect how we process new information.

Facilitator notes

Ask students to imagine an overloaded slide: unfamiliar terms, moving images and a long spoken explanation all at once. Ask which information should come first. Invite suggestions for explaining a mechanism by presenting its basic structure before adding detail. Show the transition from a worked example to a partially completed example. Do not confuse simplification with giving inaccurate information. Emphasise that the support needed may change as students' prior knowledge grows, and that a single arrangement will not suit everyone.

Source

06/24 · 8–9.5 min · LEARNING THEORIES

The constructivist approach: build meaning

New information becomes meaningful when students connect it with their existing explanations.

Facilitator notes

Choose a familiar concept such as osmosis. Ask students to write their own explanation, then compare it with a source or model. Put the first and revised explanations side by side. Constructing meaning does not make every view scientifically correct; sources and feedback matter. Ask students to explain which connection they changed and why.

Source

07/24 · 9.5–11 min · LEARNING THEORIES

Social learning: make thinking visible

Observing how others think and act can contribute to learning.

Facilitator notes

Invite a student to talk through their source-searching process: I am checking the title, opening the publication and looking for the section relevant to the claim. Make their decisions visible, not just the result. Ask about the difference between copying a peer and learning by understanding the process. Give quieter students time to write first. A group's success should not depend on one person doing everything; rotate roles and ensure each student can explain the reasoning behind a decision.

Source

08/24 · 11–12 min · CHOOSING METHODS

One topic, different learning tasks

The choice of method depends on what learners need to do and how ready they are to do it.

Facilitator notes

Do not present the four approaches as competing boxes. One lesson may include a brief drill, a structured explanation, a discussion of prior knowledge and peer modelling. To prevent groups from choosing only tools they enjoy, ask what learning task each suggestion enables. Consider how much support beginners need. A method does not necessarily require an app or video; a reasoned comparison on paper can also be a powerful task.

Source

09/24 · 12–14 min · CHECKING THE EVIDENCE

A preference is not a fixed learner type

A presentation preference does not prove that matching teaching to it improves learning.

Facilitator notes

Examine the evidence for the claim without criticising the person who made it. A student may like visuals, but preference and improved achievement are different outcomes. Ask groups to consider comparing different presentation formats for the same learning goal using a common assessment. Keep accessibility requirements distinct from learning-style labels. Support for vision or hearing must not be reduced to a preference test. Invite students to conclude by recommending multiple representations appropriate to the topic alongside active learning tasks.

Source

10/24 · 14–16 min · EVIDENCE-INFORMED LEARNING

Retrieval + feedback

Producing an answer and checking it involves a different learning task from rereading alone.

Facilitator notes

The answer should be more than a single word; ask students to explain a mechanism or relationship. Provide a brief rationale after the response. Ask learners to identify why they made an error: confusion between concepts, missing knowledge or misreading the question. Explain that an error is not a sign of personal inadequacy; it is information that guides the next study decision. Effects depend on context, so avoid suggesting that one exercise guarantees lasting learning. Plan another attempt later.

Source

11/24 · 16–17 min · EVIDENCE-INFORMED LEARNING

From one session to a review plan

Learning can be supported by retrieving and applying knowledge again on different days.

Facilitator notes

You can suggest an example schedule of tomorrow, three days later and a week later, but explicitly state that these are not universally optimal intervals. Groups should try to create different questions rather than reread the same text. Ask first for a definition, then a comparison, then application to a new example. An incorrect answer may call for an earlier revisit. Keep the total time realistic; even a one-minute explanation can help students see their progress.

Source

12/24 · 17–18.5 min · SELF-REGULATED LEARNING

Plan, monitor and decide again

Self-regulation means managing the learning process using evidence of how it is going.

Facilitator notes

Ask students to consider the difference between tracking time and monitoring learning. Sitting at a desk for two hours is not, by itself, evidence of understanding. Elicit signs such as explaining without the source, solving a new example or giving a reasoned answer to a friend's question. If a plan is not completed, examine the scope of the task, available support and circumstances rather than blaming the person. Explain that the cycle is individual but can be strengthened by peer and instructor support. Ask everyone to write one monitoring question.

Source

13/24 · 18.5–21 min · QUICK ACTIVITY

Build your own learning plan

A good plan includes a checkpoint as well as a learning outcome.

Facilitator notes

Revise an example together on screen: replace ‘I will study the cell membrane’ with ‘I will compare two types of transport using examples’. Add a checkpoint in which the student closes the source and produces a brief explanation. Let the student choose the date of the next attempt. A peer should check whether the plan is observable. Scale down overambitious goals. Comparing estimated confidence with an actual answer can be a useful opportunity for reflection; do not present this activity as a psychological test or a precise prediction of success.

Source

14/24 · 21–22.5 min · ASSESSMENT

Miller: what can we demonstrate?

Miller's pyramid distinguishes how knowledge and performance are assessed.

Facilitator notes

Keep Miller's framework separate from the list of learning theories; here the focus is on assessment and levels of performance. Give first-year examples involving definitions, reasoning and demonstration in a safe educational setting. Explain that performance in real patient care requires different observation and responsibility. Give students four example cards and ask them to justify the appropriate level for each. Focus on which evidence supports which claim rather than memorising level names. Do not infer comprehensive competence from a single test.

Source

15/24 · 22.5–24 min · ALIGNING GOALS AND ASSESSMENT

How can I demonstrate understanding?

When checking yourself, attempt the task you are trying to learn.

Facilitator notes

Ask groups to write a learning outcome, then identify the student work they would need to see to determine whether it has been achieved. Producing an attractive presentation alone may not demonstrate understanding of the topic. Add a ‘why’ question for an explanation goal and observation criteria for a demonstration goal. You do not have to award a formal grade at this stage; the aim may be feedback during learning. Each group should have a one-sentence success criterion. Make it clear and visible before students begin.

Source

16/24 · 24–25.5 min · EVIDENCE-BASED MEDICINE

Finding a source is the beginning

An evidence-based decision considers research findings together with context and the person involved.

Facilitator notes

Do not reduce evidence-based medicine to finding papers. Ask who took part in the study, what was measured and under what conditions the findings might apply. Use an example about a learning method rather than making a real treatment decision. A study conducted with physicians does not guarantee the same effect in first-year students. Explain how research, expertise and the person's circumstances are considered together. Stating uncertainty explicitly is part of scientific thinking.

Source

17/24 · 25.5–27 min · FRAMING A QUESTION

Use PICO to focus the question

An answerable question clarifies what we will search for and compare.

Facilitator notes

Use this as an educational research question, not a clinical treatment recommendation. Ask students to mark the population, intervention, comparison and outcome in different colours. Discuss the difference between choosing satisfaction as the outcome and choosing learning performance. Make the timing explicit too: an immediate outcome differs from one measured a week later. PICO is not a compulsory template for every research question; here it is a tool for making thinking concrete.

Source

18/24 · 27–30 min · SOURCE LITERACY

Claim–source–limitation

A strong evidence record shows exactly which claim a source supports.

Facilitator notes

Show why a title or abstract alone may be insufficient. Ask students to record who was studied, which method was used and which outcome was measured. Briefly explain why the sample, comparison, participant attrition and timing of measurement matter. You do not need to teach detailed statistics in this session. The aim is to avoid making a claim stronger than its source supports. Each group should add at least one limitation or uncertainty beside a claim it has checked. In the three-minute lecture slot, use only item B from Source checking: 30 seconds to decide, 60 seconds to justify, 90 seconds to compare and discuss the limit. Complete all four items in the workshop.

Source

19/24 · 30–32 min · WORKING WITH AI

Ask for help and retain the thinking

AI should be used with human oversight when producing drafts and questions.

Facilitator notes

Have groups write a brief draft first, then ask AI for an alternative explanation or question. This prevents the tool from taking over the starting point of their thinking entirely. The prompt should include the learner level, learning outcome, time available and expected product. Asking it not to invent sources is not a guarantee. Remind students that the output must be checked against real sources. Groups without access can do the same task using a peer's draft. Record the tool's name, the date and its contribution.

Source

20/24 · 32–35 min · EVIDENCE DETECTIVE

Sounding convincing does not make it true

Every important claim in AI output should be open to verification.

Facilitator notes

Label this as an example claim written for teaching; do not present it as a live response from a real model. One group can check whether the source exists, another whether it supports the claim and another the limits of the generalisation. Then ask them to write one revised explanation. To discourage trusting the first link they encounter, ask students to visit the publisher or original record. Removing an unverifiable statement or marking it as uncertain is an acceptable outcome.

Source

21/24 · 35–36 min · ETHICS AND PRIVACY

Protect information used for learning

Information about real individuals and patients should not be entered into prompts for these learning activities.

Facilitator notes

Explain that removing names is not always enough; a combination of details may identify someone. For this workshop, use examples invented from scratch rather than real records. Note that tools may have different data retention practices. Discuss how AI can produce fluent but incorrect answers and why responsibility for errors cannot be transferred to the tool. Provide an equivalent route for students without access. Present disclosure of the assistance used in a product as normal academic practice.

Source

22/24 · 36–37.5 min · SHARED RESPONSIBILITY

The student, instructor and medical school

I take responsibility for learning while using support from my teachers and faculty.

Facilitator notes

Create three columns, but do not force every task onto just one person. For source verification, the student does the work, the instructor provides methods and feedback, and the institution supports access and policies. To prevent shared responsibility from becoming unclear responsibility, ask groups to identify who takes the first step for each task. Ask how students can challenge a decision, request help or report a problem. This matrix is a local workshop design, not an official allocation of responsibilities developed by WHO.

Source

23/24 · 37.5–39 min · MOVING INTO GROUP WORK

Now apply it together

In the workshops, design how your group could learn one committee-block topic more effectively.

Facilitator notes

Groups can be formed according to the number of devices available. Roles may include facilitator, recorder, source checker, timekeeper and presenter. In smaller groups, roles can be combined and can rotate during the activity. Ask students to write the topic and learning outcome first, then complete the activity, checking question, sources and responsibilities. Introducing the tool alone is not enough in the presentation: groups must explain their decisions, their reasons and what they changed after feedback. Keep the time visible.

Source

24/24 · 39–40 min · CLOSING AND TRANSFER

What will you take to your next panel?

An experience contributes to future work when it leads to a new learning decision.

Facilitator notes

Ask everyone to complete the exit ticket individually; do not finish with only the group presenter's perspective. Students should record a useful method, an idea they revised and the date of their next attempt. Return to the initial goal and ask what evidence has been produced. Keep a separate list of unresolved questions. Remind students that what transfers when groups change is not just a file, but the habit of checking sources and explaining decisions. State that the plan will be reviewed in the next activity.

Source

Timing and three core activities

Slide 3: 3 minutes of retrieval; slide 13: 2½ minutes for a learning plan; slide 20: 3 minutes for the AI ethics case. These are included in the 40 minutes. Other questions are brief checks. Use video, extra labs and the full quiz in the buffer or workshops.

Workshop 1 (50 min): 5 roles, 10 think/share/choose, 10 own plan, 10 AI and human decision, 10 two-claim checks, 5 roles and save. Workshop 2 (50 min): 7 peer review, 8 revision/rehearsal, 25 presentation, 5 shared reflection, 5 individual exit/transfer. Keep a break between sessions.

AT THE START OF EACH WORKSHOP

Think, discuss, design

Workshop 1: Use AI and evidence (60 seconds) within the opening five-minute role allocation. Workshop 2: Use Responsibility and design (60 seconds) within the opening seven-minute peer review. Do not add extra time.

Workshop 1 presentation Workshop 2 presentation

Group worksheet

Choose a topic from your committee block. Design how you could learn it better and check your understanding. Write your own idea first. Do not enter patient data or real names. An AI account is not required: critique the provided draft instead.

Worked example (not your group’s submission)

Your chosen course / topic

Cell membranes and osmosis

Measurable learning outcome

Given two solutions separated by a membrane permeable only to water, the learner correctly explains the direction of net water movement in two out of three examples.

Prior knowledge and possible misconception

Confusing diffusion with osmosis; assuming that all molecular movement stops at equilibrium.

Two methods and why you chose them

Use predict–observe–explain to reveal the initial idea; then close the source and rebuild the explanation through a retrieval question.

What the learner will do

2 min individual prediction → 3 min model → 3 min peer explanation → 4 min two-claim checking → 3 min a new problem without notes.

Evidence of learning and success criteria

Direction and reasoning in three new diagrams: 2 points per example. Target: at least 4/6; a correct direction with incorrect reasoning earns only 1 point. This threshold is a suggested workshop design choice.

First claim checked

Across a selectively permeable membrane, the direction of water movement depends on the conditions in the two solutions.

Full link to the first source

https://tr.khanacademy.org/science/biology/membranes-and-transport/diffusion-and-osmosis

Supporting evidence and limitations in the first source

The learner opens the source and records the relevant explanation in their own words; this sample entry has not yet been verified.

Second claim checked

Retrieval practice can support long-term retention in appropriate contexts.

Full link to the second source

https://pubmed.ncbi.nlm.nih.gov/19930508/

Supporting evidence and limitations in the second source

A randomized study with resident physicians. The same effect size cannot be assumed for first-year students.

Learner responsibilities

Write your own prediction first; check the source; correct errors; make sure everyone has a chance to speak.

Instructor responsibilities

Ask questions that reveal misconceptions, check scientific accuracy and give feedback with clear reasoning.

Medical school responsibilities

Provide device and network access, accessible content and conditions for safe data use.

Access, privacy and an alternative without AI

Do not use names or patient data. Without a device, use paper diagrams and face-to-face discussion. A prepared example can be analyzed without an AI account.

Tool / model / date / purpose / human revisions

Sample design: no live AI call was made. The group will record the tool actually used and the date.

Your revision following peer feedback

A question applying the learning to a new situation was added to the initial design.

What you will take into the next student panel

Before presenting a claim in the panel, I will explain what the source actually demonstrated.

Our own plan before AI

First predict, then use the model and peer explanation; finish with a new example.

Suggestion revised by us and rationale

Prediction and a reasoned new question replaced passive viewing.

Team roles

Member 1: coordinator; 2: recorder; 3: source checker; 4: presenter.

Each member’s contribution (number / alias, no names)

This is not a real group record. Each member will record their own contribution.

Source 1 access level

unavailable

Decision for claim 1

unverified

Source 2 access level

abstract

Decision for claim 2

supported

Source checker aliases and date

Instructor example; the team records its own checks and date.

Actual prompt used / offline instructions

No live tool used; instructions to examine the supplied draft for objective, activity and evidence of learning.

25-minute sharing window and four slides

1–6 groups: 3 min presentation + 1 min feedback. 7–12: 90 sec + 30 sec. 13+: 2 min pairing, 8 min round, 2 min partner change, 8 min round, 5 min conclusions. For an odd number use one trio: 2 min + 40 sec per group. Every group presents twice.

  1. Topic, objective and initial difficulty
  2. Activity and learning check
  3. AI experience and two source checks
  4. Roles, access and panel transfer

Peer rubric

Each criterion 0–2, total 10. Formative feedback, not an official grade or validated scale. Use the same criteria offline. Do not infer individual competence from a group product.

Criterion012
Objective and design alignmentUnclear objective or no assessment.Objective present; activity or assessment only partly aligned.Observable objective, activity and assessment address the same action.
Evidence checkingNo record or fabricated source.One claim checked or its support is unclear.Two claims have sources, passages and justified decisions; unavailable evidence is explicit.
AI and ethicsUse concealed or risk overlooked.Tool/purpose stated; revision or ethical boundary missing.Tool/purpose, human revision and ethical boundary explicit; offline work disclosed honestly.
Roles and equitable participationNo roles or one person did the work.Three stakeholders named; tasks or participation partly visible.Concrete stakeholder tasks, member contributions and access arrangements are explicit.
Reflection and transferNo learning insight or next step.General insight or vague next step.Changed decision, individual learning evidence and actionable next step.

Individual exit ticket and panel card

Each learner completes their own ticket. Download or print it first, then clear ticket fields for the next learner on a shared device. A group product does not replace this ticket.

Offline source checking

Fictional error-checking example, not real AI output. Record your decision and evidence before opening the key.

I have recorded my answers; open the example key

A. The product is RNA. Correct it using the supplied Alberts source note; disclose that you used the note if you did not open the original.

B. A DOI helps locate a source. The passage supporting the claim still needs to be inspected.

C. Consistent with the supplied Miller note; it is different from does in real practice.

D. The source, measure and context are unknown. Do not present the number as established; seek the original study, sample and outcome.

Disclosure: We used no live AI; we examined supplied source notes. We do not claim to have opened the originals.

Supplied reference files

The reference PowerPoint has 32 slides and the original 50-minute plan. This web pack uses 24 slides for 40 minutes + 10-minute buffer. Slide numbering differs.

Presentation PDF

Instructor guide PDF

Student worksheet PDF

PowerPoint · Three student prompts

Check your understanding

1. Which is the strongest evidence of learner-centered design?

  1. The learner simply watches more videos
  2. The learner produces work aligned with the outcome and revises it using feedback
  3. The instructor gives up all responsibility
Answer and rationale

B · Active participation, reasoning and feedback should be visible. Learner-centered education still involves guidance.

2. “I am a visual learner, so I should learn only through video.” What is the best response?

  1. Preference does not prove that matching instruction is more effective; choose a method that fits the outcome
  2. It is definitely true
  3. Everyone should learn only by reading text
Answer and rationale

A · Preferences may exist, but there is insufficient evidence that matching teaching to a fixed learning type is more effective.

3. Which level of Miller’s pyramid is demonstrated performance in a simulation?

  1. Knows
  2. Shows how
  3. Does in real practice
Answer and rationale

B · Performance under simulated conditions is not the same evidence as sustained performance in the real workplace.

4. AI has provided a link to an article. What should you do first?

  1. A reference list is enough
  2. Open the source and separately check that it exists and that it supports the claim
  3. Only ask the model whether it is sure
Answer and rationale

B · A DOI or link alone does not establish accuracy.

5. Which is an example of self-regulated learning?

  1. Simply increase study time
  2. Set a goal, check understanding, evaluate the result and adapt the method
  3. Leave every decision to the tool
Answer and rationale

B · The planning, monitoring and reflection cycle connects learning decisions to evidence.

6. Uploading a patient record to a general-purpose AI tool…

  1. Is allowed because we are students
  2. Removing the name is always enough
  3. Is not part of this workshop; use a fictional example without personal data
Answer and rationale

C · Indirect identifiers can also create privacy risks. This activity does not require patient data.

7. What accompanies research evidence in evidence-based medicine?

  1. Clinical expertise and the person’s values and preferences
  2. Only the newest article
  3. Only the answer from a popular tool
Answer and rationale

A · Evidence is considered in context. This workshop does not authorize clinical decision-making.

8. Which is the best wording for a learning outcome?

  1. Understand the topic
  2. Know why osmosis matters
  3. Explain the direction of net water movement in three given situations
Answer and rationale

C · An observable action, conditions and criteria make assessment clearer.

Optional short film

Works after extracting the ZIP; original English narration and captions.

Open the full film as a silent presentation

Full transcript

Evidence game · external website

Optional resource after the lesson. The game requires internet and is not bundled in this pack. Before classroom use, identify how a specific task supports a learning goal. It does not replace the lecture’s retrieval, personal learning-plan and AI decision activities.

Open the game

Sources and scope

A purposeful selection, not an exhaustive review or institutional endorsement. These are original brief explanations, not full publication translations. Each source’s actual publication language is stated.

UÇEP 2020 — Undergraduate Medical Education

Defines the core scope of medical education and graduate competencies in Türkiye. Evidence-based practice, teamwork, information technology and lifelong learning underpin this workshop. First-year students work on introductory skills in these areas.

2020 · Turkish · Official source; link and original summary

The version verified in the YÖK catalogue is 2020. The UYYB 2026 update is a separate source; publication of the complete UÇEP 2026 was not verified in this search. The workshop does not award certification of graduate competence.

National Competency Framework — 2026 update

The updating working group's publication reports 10 competency headings and 47 competency statements across three domains. Advisor and Digital Literacy headings were added. It is a current national source for considering digital tools alongside responsibility, critical appraisal and professional development.

2026 · Turkish; English abstract · CC BY-NC-ND 4.0; original summary and link

A primary publication dated August 2026; it is not, by itself, a YÖK approval decision or a new edition of every part of UÇEP. The full text must not be adapted and republished.

TEPDAD — National Standards for Undergraduate Medical Education

Emphasises teaching methods aligned with outcomes, student responsibility for learning, scientific literacy and assessment. The workshop connects these principles with justified method selection, evidence checking, a visible rubric and feedback.

2025; Version 2, May 2026 · Turkish · Official document; link and original summary

Citing a source does not confer accreditation. This site is not endorsed by TEPDAD. The document does not require any particular AI tool.

YÖKAK — Institutional evaluation and student-centred learning

Brings together programme outcomes, student-centred teaching and assessment, and continuous improvement. Clearly stated learning goals, student work, peer feedback and exit tickets provide evidence that can inform evaluation of the lesson.

Criteria 3.1; Guide 3.3, 2026 · Turkish · Official source; link and original summary

Evaluation Criteria 3.1 and Evaluation Programmes Guide 3.3 are separate documents. Institutional accreditation does not constitute approval of an individual lesson or web application.

TYYÇ — National Qualifications Framework for Higher Education in Türkiye

Guides the description of higher education learning in terms of knowledge, skills and competence. In the workshop, students write observable learning outcomes that state what learners will demonstrate and under what conditions, then select an appropriate assessment method.

2010; fields of education 2011 · Official explanation in English; framework in Turkish · Official source; link and original summary

TYYÇ and TYÇ do not have the same scope. This short workshop is not assigned a separate TYYÇ or degree level. Direct access to the page may time out.

TYÇ — National qualifications and European referencing

TYÇ supports understanding and comparison of qualifications gained through different learning routes. A learning outcome, a qualification and accreditation are distinct concepts. The framework was referenced to the European Qualifications Framework in 2017.

2015; referenced to the EQF in 2017 · Turkish · Official brochure; link and original summary

Drawing on TYÇ in an activity does not mean that the activity has been included in TYÇ or granted permission to use its logo.

EQF — European Qualifications Framework

This eight-level comparison tool describes learning outcomes in terms of knowledge, skills, responsibility and autonomy. It helps make national qualification systems understandable and illustrates the importance of writing clear, assessable learning outcomes.

2017 Council Recommendation · English · Official EU source; link and original summary

It is not a medical curriculum, accreditation or a licence to practise. Completing this workshop does not confer an EQF level, degree equivalence or authority to practise medicine.

WFME — Basic Medical Education Standards

Provides quality principles for undergraduate medical education that can be adapted to local contexts. It considers curricula, assessment, students, educators and institutional resources together. The workshop's discussion of student, instructor and institutional roles uses this holistic perspective.

2020, third edition · English · Institutional source; link and original summary translated from Turkish

WFME standards are not a universal core curriculum. The 2025 CPD document has a different scope. This application has no WFME endorsement or accreditation.

YÖK — Ethical Guidance on the Use of Generative AI

Examines AI use in scientific research and publication in relation to accuracy, integrity, privacy and human responsibility. It informs the workshop's disclosure of tool use, checking of generated claims and retention of decision-making responsibility by students.

May 2024 · Turkish · University-hosted copy of YÖK guidance; link and summary

Although the filename includes 2026, the document's cover is dated May 2024. Research and publication guidance alone does not determine whether AI use is permitted in every course or examination.

UNESCO — Generative AI in education and research

Addresses human-centred use, privacy, equitable access and pedagogical appropriateness together. Device sharing, equivalent activities that can be completed without AI, and human oversight apply this approach in the workshop. This is the Turkish version linked by UNESCO.

2023 · Turkish · Link to UNESCO's Turkish version; no republication

The 2026 update to the information page is not a new edition of the guidance. The guidance does not replace institutional course rules or data protection obligations.

WHO — Ethical governance of large multimodal models for health

Examines the opportunities and risks of generative AI in health. It helps learners consider why fluent output is not evidence of accuracy and why incorrect, incomplete or biased output requires source checking and human judgement.

2024; publication page 2025 · English · WHO source link and original summary translated from Turkish

The activity is not clinical decision support. The first announcement and copyright year are 2024; the WHO publication page is dated 25 March 2025. No real patient data are used.

Istanbul Okan University — Medical curriculum timetable 2026–2027

The first-year TIP101 programme confirms the learning lesson at 10:00–10:50 on 19 October 2026 and two group sessions between 11:00 and 12:50. Objective 26 covers sources, objective 27 AI and ethics, and objective 28 learning responsibility and educational roles.

2026–2027 · Turkish · University document; link and original summary

For changes to the local timetable, the medical school's latest announcement takes precedence. This site is not the university's official student information or grading system.

Istanbul Okan University — Gen AI Guide

The Learning Application and Research Centre's guide explains potential uses and risks of generative AI in learning and teaching, and its relationship with academic integrity. It is a local reference for preserving students' own contributions and understanding limits when receiving design assistance.

2024 · Turkish · Open reuse licence not verified; link and summary

Examples of tools from 2024 are not a current product feature list. The instructor's guidance determines course-specific permissions; this guide alone does not permit AI use in every assessment.

Okan Graduate School — Principles for generative AI use

A local document setting permissions, disclosure requirements and restrictions for generative AI in postgraduate assignments, presentations, projects and theses. It provides a comparison showing how different educational contexts may have different rules for using AI.

2025 file · Turkish · Open reuse licence not verified; link and summary

The document applies to the Graduate School. It should not be applied directly to the first-year medical workshop as a binding university-wide policy.

Retrieval practice: a randomised trial in medical education

A study comparing repeated testing with repeated study shows that brief practice can support delayed recall. In the workshop, students first close the source, produce their answer and then revise it using the explanation.

2009 · English source; original summary translated from Turkish · Publisher copyright terms; PubMed abstract accessible. Open reuse licence not verified.

One study with a specific sample; do not assume the same effect size in every course. The full text has not been translated into Turkish.

Spaced repetition: learning and transfer among physicians

A randomised trial with physicians examines the value of spreading review over time for learning and transfer. Groups can plan brief review tasks with feedback for their own course topics.

2025 · English source; original summary translated from Turkish · Publisher copyright terms; open reuse licence not verified.

The study involved practising physicians. Its effect size cannot be applied directly to first-year students; the suggested review days are not universally optimal.

Learning styles: is a preference the same as an effective method?

An evidence review finds insufficient support for the claim that matching instruction to a student's preferred presentation format improves achievement. Choose methods according to the goal, prior knowledge and accessibility needs.

2009 · English source; original summary translated from Turkish · Free reading access; publisher reuse terms apply.

This does not deny that preferences exist. It should not be used to classify students into fixed visual, auditory or kinaesthetic types. Published online in 2009; the journal volume is also commonly cited as 2008.

Self-regulated learning: a comparison of six models

Self-regulated learning involves setting goals, monitoring the process and adapting strategies in response to results. In the workshop, each student develops a goal, a monitoring question and a decision about their next study activity.

2017 · English source; original summary translated from Turkish · Open-access article; the source page's Creative Commons and attribution terms apply.

A review and theoretical comparison. The three-stage activity here is an original teaching adaptation, not a validated psychometric scale.

Miller's pyramid: knowledge, demonstration and real practice

Miller's framework helps distinguish levels of assessment from knowledge to real-world performance. For first-year students, explaining knowledge is kept distinct from demonstrating competence in real patient care.

1990 · English source; original summary translated from Turkish · Publisher copyright terms; PubMed bibliographic record. Open reuse licence not verified.

It is not a learning theory or a standalone certificate of competence. Success in a simulation does not authorise independent practice in a real setting.

Evidence-based medicine: research, expertise and the patient

Evidence-based medicine considers research findings alongside clinical expertise and the patient's circumstances. Verifying that a paper exists is different from showing that a claim is valid and appropriate to the context.

1996 · English source; original summary translated from Turkish · BMJ copyright and reuse terms apply.

A foundational historical text, not a current treatment guideline. Workshop examples do not provide clinical recommendations for real patients.

UNESCO: generative AI in education and research

The official Turkish version discusses use that preserves human decision-making, inclusion and data privacy. Groups describe which tasks they retain for humans and how they disclose AI's contribution to their designs.

2023 · Link to the official Turkish version verified. · The original work's open-access licence is CC BY-SA 3.0 IGO; the Turkish file's own publication details and licence terms also govern its use.

The Turkish link was verified through UNESCO's main publication page; the full guide is not republished in this application.

WHO: governance of multimodal AI for health

Provides an institutional framework for oversight and responsibility in generative AI for health. Decisions about educational use require verification, privacy protection and human oversight, alongside the choice of tool.

2025 · English source; original summary translated from Turkish · WHO publication terms; the downloaded file's licence governs its use.

The publication page displays 25 March 2025. A full Turkish translation or Turkish dubbing was not verified.

OpenStax: open anatomy and physiology textbook

A free textbook covering foundational anatomy and physiology. Groups narrow their chosen topic and work with concepts from the relevant chapter through their own explanations and learning questions.

2022 · English; a complete Turkish edition was not verified. · Current preface: CC BY-NC-SA 4.0. Check specific notices for third-party content.

Free access does not imply permission for commercial reuse. A source link is provided here; the book is not redistributed.

PhET Neuron: predict, observe and explain

Open the neuron simulation with a hypothesis, change a variable and compare your observation with your prediction. Record how your explanation changes rather than simply watching the visual movement.

None · Turkish source page verified. · Current Regular HTML simulation licence: CC BY-NC 4.0; separate conditions apply to commercial use.

An external interactive simulation; it was not run and tested during this research. It is not labelled as a video, Turkish dubbing or subtitles.

HHMI: DNA replication animation

Explores DNA replication through a three-dimensional molecular representation. Predict the direction of synthesis first, pause at a suitable point and explain the difference between the leading and lagging strands in your own drawing.

2003 · English transcript and Spanish dubbing verified; Turkish subtitles or dubbing not verified. · Source page: CC BY-NC-SA 4.0; additional conditions apply to names and logos.

The resource was updated in 2025. Advanced detail may overwhelm beginners; use short selected segments and explanations.

Khan Academy Turkish: the fluid mosaic model of the membrane

An official-channel video with a Turkish title for studying cell membrane structure. Write down three structures before watching; afterwards, explain their functions with the source closed.

None · Official-channel listing with a Turkish title verified. · Khan Academy terms of use and content licences apply; permission to download or redistribute is not assumed.

Audio and subtitle tracks were not checked through playback; no verified dubbing or subtitle label is used. External access is required.

Khan Academy Turkish: cell membrane proteins

A candidate video for examining membrane proteins through the relationship between structure and function. Groups follow viewing with a classification question and a brief, reasoned answer.

None · Official-channel listing with a Turkish title verified. · Khan Academy terms of use and content licences apply; permission to redistribute is not assumed.

Audio and subtitle tracks were not tested directly. A link alone is not an activity; include a written alternative and a viewing question.

PICO: building an answerable question

Make the question concrete by specifying who, which intervention, what comparison and which outcome. A first attempt can be an educational research question that does not involve a treatment decision.

1995 · English source; original teaching activity translated from Turkish · Publisher copyright terms; PubMed bibliographic record.

PICO is not the sole required format for every type of question. A well-framed question does not automatically establish the quality of the study found.