Professional Studies ยท Foundations of Teaching
Teacher Professionalism in Local and International Contexts
Teacher professionalism is one of the most contested ideas in education โ and one of the most frequently misrepresented by AI. In this 150-minute social-constructivist seminar, Year 2โ3 pre-service teachers compare how professionalism is understood and regulated across six systems (Hong Kong SAR, Mainland China, Finland, Singapore, Japan, EnglandโUSA), then audit confident AI-generated accounts of those systems against primary sources. AI appears in every section โ not as an answer engine but as an object of critical scrutiny that students must verify, revise or reject.
Section 1
Intended Learning Outcomes
Each outcome states what students will do and how AI is engineered into it โ as material to analyse, verify and override rather than to trust.
| ILO | Description | ๐ค AI Integration |
|---|---|---|
| ILO 1 | Analyse the concept of teacher professionalism using a multi-dimensional framework (professional knowledge, autonomy, ethical commitment, self-regulation, service ethic) and explain how each dimension manifests differently across local (Hong Kong / Greater China) and international (Finland, Singapore, Japan, EnglandโUSA) contexts. | The pre-class AI Probe Log supplies a first, unverified account that the Segment 1 jigsaw then corrects against primary sources โ students see the AI version dismantled by evidence. |
| ILO 2 | Critically evaluate how policy discourses โ managerialism, performativity, standards-based reform and audit culture โ shape, constrain or enable teachers' professional autonomy and identity in comparative settings. | The Bias & Framing Audit (Segment 3, Pass 3) applies the same critical lens to AI discourse as to policy discourse, so students learn to hear the normative assumptions in both. |
| ILO 3 | Apply comparative frameworks to authentic professionalism dilemmas (social-media conduct, mandated assessment, ethical disclosure about a colleague, culturally contested norms) and justify a defensible course of action with reference to both local codes of conduct and international principles. | Dilemmas D1 and D6 directly involve AI-mediated practice, requiring students to apply professionalism reasoning to the governance of AI itself. |
| ILO 4 | Collaboratively construct a context-sensitive Professionalism Charter for a designated education system, synthesising evidence, peer critique and comparative analysis into a coherent, defensible position. | AI may be used to draft the Charter โ but the Audit Log must document every accepted, modified and rejected suggestion with a rationale and a primary source. |
| ILO 5 | Critically evaluate AI-generated accounts of teacher professionalism for factual accuracy, currency and bias โ including Global-North/Anglophone bias and the homogenisation of culturally distinct traditions โ identifying hallucinations and overgeneralisation. | This is the core activity: the four-pass AI Audit runs source, accuracy, bias and judgement passes against primary sources, then a hostile-read exchange makes peer scrutiny a group norm. |
| ILO 6 | Exercise and document independent judgement in deciding when, whether and how to act on AI-generated content โ articulating explicitly which AI suggestions were accepted, modified or rejected, and why human judgement took precedence. | The Accept / Modify / Reject log, the Override Record and the closing reflection discussion make independent judgement visible, named and socially valued rather than private. |
AI output is treated as a draft hypothesis, never a source. A claim without a traceable primary source is unverified, not true; a confident tone is not evidence of accuracy, because fluency and fabrication are produced by the same mechanism. Students must be able to defend, under questioning, any AI suggestion they accept โ and to document every suggestion they modify or reject.
Section 2
Pre-Class Preparation
Released via the LMS 5โ7 days before the session. Students read, annotate collaboratively, complete a diagnostic pre-test, and probe an AI assistant for its account of professionalism in their own context.
- <strong>Reading 1 โ Hargreaves, A. (2000).</strong> Four ages of professionalism and professional learning. <em>Teachers and Teaching, 6</em>(2), 151โ182. <a href='https://doi.org/10.1080/713698714' target='_blank' rel='noopener'>Read the article</a>.
- <strong>Reading 2 โ Sachs, J. (2003).</strong> <em>The activist teaching profession</em>. Open University Press. <a href='https://www.mheducation.co.uk/the-activist-teaching-profession-9780335209191-emea-group' target='_blank' rel='noopener'>Book page</a>.
- <strong>Reading 3 โ OECD TALIS country notes:</strong> select the system assigned to your home group. <a href='https://www.oecd.org/education/talis/' target='_blank' rel='noopener'>Open the TALIS country notes</a>.
- <strong>Video โ UNESCO (2023).</strong> <em>Guidance for generative AI in education and research</em>: the summary webinar segment on teacher competency. <a href='https://www.unesco.org/en/artificial-intelligence/recommendation-ethics' target='_blank' rel='noopener'>Watch the segment</a>.
- <details class='acc'><summary><span class='badge pill teal'>Tool</span> Collaborative annotation โ Perusall or Hypothes.is</summary><div class='acc-body'><p class='small'><strong>Purpose:</strong> to make your first reading of Hargreaves public and revisable, seeding the distributed expertise the in-class jigsaw depends on. <strong>Objective:</strong> by the time you arrive, you can already compare and contest definitions of professionalism.</p><ol class='steps'><li>Open your home group's annotation space: <a href='https://www.perusall.com' target='_blank' rel='noopener'>create a Perusall course</a> or <a href='https://web.hypothes.is' target='_blank' rel='noopener'>join a Hypothes.is group</a>.</li><li>Reading 1 is the shared text; your annotations are visible to your home group and to the instructor.</li><li>Post at least three annotations: one <strong>definitional</strong> ('What Hargreaves means by professionalism here โ state it in your own words'), one <strong>comparative</strong> ('in my own schooling context this looked like โ name the parallel'), and one <strong>contestational</strong> ('this claim assumes โ name the assumption, then say where it may not hold').</li><li>Reply to at least one classmate's annotation โ build on it, or push back with evidence.</li><li>Bring the sharpest disagreement you found into class; it becomes jigsaw material.</li></ol></div></details>
- <strong>Diagnostic pre-test:</strong> complete the 8-item <em>Teacher Professionalism Diagnostic โ Social Constructivism</em> in your LMS (see the tool guide below). It is auto-graded with explanatory feedback per option, and the aggregate results feed the in-class misconception analysis.
- <details class='acc'><summary><span class='badge pill violet'>AI task</span> AI Probe Log โ interrogate an AI account of professionalism</summary><div class='acc-body'><p class='small'><strong>Purpose:</strong> to establish a critical stance before class โ you become an auditor of AI, not a consumer of it. <strong>Objective:</strong> identify one verifiable claim, one inaccurate or unsupported claim, one instance of bias, and one omission in an AI-generated comparison, and write a defensible 300-word log.</p><ol class='steps'><li>Open an assistant โ <a href='https://chat.openai.com' target='_blank' rel='noopener'>ChatGPT</a>, <a href='https://claude.ai' target='_blank' rel='noopener'>Claude</a>, <a href='https://gemini.google.com' target='_blank' rel='noopener'>Gemini</a>, or <a href='https://www.perplexity.ai' target='_blank' rel='noopener'>Perplexity</a> (Perplexity is useful because it displays sources).</li><li>Prompt it: <em>'Compare how teacher professionalism is understood and regulated in [my local context] and [one other country]. Include qualification requirements, codes of conduct, professional development obligations, and the degree of teacher autonomy.'</em></li><li>Capture the raw output verbatim before you edit it โ you will submit the raw text alongside your log.</li><li>Write a 300-word AI Probe Log recording: one claim you <strong>verified</strong> against the assigned reading (with citation); one claim that is <strong>inaccurate, outdated or unsupported</strong>; one instance of apparent <strong>bias</strong> (e.g. framing Finland as the universal ideal, omitting Global South systems, or conflating professionalism with compliance); and one <strong>omission</strong> you consider essential.</li><li>Answer in your log: where did the AI sound authoritative but give no verifiable basis? Whose systems were centred, and whose were absent? If you had relied solely on this output, what would you have got wrong in a job interview or a policy briefing?</li><li>Post your log to the <a href='https://padlet.com' target='_blank' rel='noopener'>class Padlet wall</a> and bring it to class โ it is raw data for the Segment 3 AI Audit and a required attachment to your summative portfolio.</li></ol></div></details>
Tool Create and run the diagnostic pre-test in your LMS quiz engine (Moodle / Canvas / Blackboard)
- In your LMS course, open the pre-class topic and choose <strong>Add an activity or resource โ Quiz</strong> (Moodle), <strong>Quizzes โ + Quiz</strong> (Canvas), or <strong>Assessments โ Tests</strong> (Blackboard). The <a href='https://docs.moodle.org/en/Quiz_activity' target='_blank' rel='noopener'>quiz activity guide</a> covers the same settings in each system.
- Name it <em>Teacher Professionalism Diagnostic โ Social Constructivism</em> and set availability to open 7 days before the session and close at the start of class.
- Add the 8 diagnostic items from Section 2.3, marking the correct option for each, and enable <strong>per-option (adaptive) feedback</strong> so every distractor explains the misconception it reveals.
- Set attempts to unlimited and grading to highest grade โ this is strictly formative; the explanatory feedback matters more than the score.
- Configure the quiz to <strong>reveal results only after submission</strong>, and to show you aggregate item statistics so you can open the session with the misconception analysis at 0:08โ0:14.
- Publish, then test the student view with a dummy enrolment to confirm that every option displays its explanatory feedback.
- Export the item-level statistics to display during the Introduction, and note which of the three documented misconceptions (autonomy equals professionalism; Finland as universal benchmark; professionalism as an individual attribute) drew the most choices.
- Link the quiz from the pre-class checklist and remind students in the announcement that the 300-word AI Probe Log is the second required pre-class task.
Section 3
Teaching & Learning Activities
The run sheet moves from a provocative scenario to collaborative knowledge production: a six-system comparative jigsaw, a scaffolded interactive lecture on policy discourses, a four-pass AI Audit, ill-structured dilemma work, and a calibrated gallery walk. AI touchpoints are marked throughout.
Home groups (6 groups of 15) are each assigned one system: Hong Kong SAR, Mainland China, Finland, Singapore, Japan, or EnglandโUSA. Each group splits into three expert triads โ Triad A: Qualification & Knowledge Base; Triad B: Regulation, Ethics & Accountability; Triad C: Autonomy, CPD & Career. Expert triads populate a shared Padlet comparative matrix (Dimension / Local System / Evidence (source) / Degree of autonomy 1โ5 / Notes) from the Source Pack, then return to the home group and teach their dimension, producing a consolidated system profile on a shared slide. No group can complete the profile without all three triads, so participation is structurally required rather than merely encouraged. (25 minutes; the AI Critique Lab and simulated chat below are used in later segments.)
Check each claim against your textbook and your own reasoning. A confident tone is not evidence of correctness.
Pick a prompt to see a simulated AI response, then write your critique.
- AI output is a draft hypothesis, never a source. A claim without a traceable primary source is unverified, not true.
- Confident tone is not evidence of accuracy โ fluency and fabrication are produced by the same mechanism.
- Your professional obligation is to know the system you will work in. Delegating that knowledge to an AI is a professional development failure, not an efficiency.
- You may accept AI output โ but only after verification, and you must be able to defend it under questioning.
- When AI feedback arrives on your own drafting it is advisory and pre-moderated: the instructor remains the sole authority for grading, and any AI comment that misstates the rubric or applies an Anglophone default is removed before you see it.
Section 4
Assessment Methods
Assessment is layered: low-stakes formative checks that make thinking visible during the session, and a summative Comparative Professionalism Portfolio that includes a non-compensable Critical AI Engagement appendix.
Ten items re-sequence and re-contextualise the eight pre-test constructs (trait theory, the Finnish model, performativity, the Sachs binary, the semi-profession thesis, Hong Kong conduct guidance, AI limitations and verifying AI claims) and add two transfer items on policy diffusion and framework universality โ so growth is measured against the same misconception categories.
| Method | Weight | What it assesses |
|---|---|---|
| Padlet comparative matrix review | Formative | Whether every system claim is source-attributed and whether each autonomy rating (1โ5) is justified rather than asserted. |
| Circulating checklist (Segments 1 & 4) | Formative | Social-constructivist indicators: who contributes knowledge, who negotiates, who concedes with reason โ tracked as the instructor circulates. |
| Live polls & rapid classification quiz | Formative | Conceptual discrimination: managerial vs democratic professionalism; trait vs process views of the profession. |
| AI Audit Log (end of Segment 3) | Formative โ AI-supported | Quality of verification, accuracy of bias identification and defensibility of Accept / Modify / Reject decisions; the instructor reviews the delta between the raw AI output and the audited revision. |
| Peer critique + instructor calibration | Formative | Evidence quality, value reasoning and actionability, calibrated against the instructor's own anonymised critique of the same slide. |
| Exit ticket | Formative | One dimension of professionalism the student can now define, and one that remains unclear. |
| Portfolio A โ Comparative analysis | 40% | Two systems compared across four professionalism dimensions, with at least four sources per system including at least two non-Anglophone or primary policy sources. |
| Portfolio B โ Professionalism Charter | 30% | A context-sensitive charter (ethical commitments, CPD expectations, autonomy provisions, accountability mechanisms) with justified design choices. |
| Portfolio C โ Dilemma resolution | 20% | A written resolution of one case with explicit value reasoning, a defensible decision and an escalation path. |
| Portfolio D โ Critical AI Engagement appendix | 10% | AI Audit Log, revised AI output with tracked changes, and a 400-word reflective commentary. Non-compensable: a portfolio with no audit trail cannot exceed the Proficient band overall. |
Section 5
Constructive Alignment Matrix
Every outcome is served by at least one activity and evidenced by at least one assessment, with an explicit pedagogy link and an AI integration link.
| ILO | Learning activity | Assessment | Cognitive level |
|---|---|---|---|
| ILO 1 โ Analyse professionalism dimensions across local and international contexts | Segment 1 comparative jigsaw (expert triads โ home groups); Segment 2 interactive lecture with think-pair-share | Padlet comparative matrix review; Portfolio Component A (40%) | Analyse |
| ILO 2 โ Evaluate policy discourses shaping autonomy and identity | Segment 2 (Hargreaves / Sachs / Evans with the animated timeline); Segment 5 rapid classification quiz | Professionalism Discourses peer-assessment quiz; Portfolio Component A | Evaluate |
| ILO 3 โ Apply comparative frameworks to professionalism dilemmas | Segment 4 case-based problem-solving with the PAUSE framework and tiered dilemma cards | Portfolio Component C (20%); peer critique rubric | Apply |
| ILO 4 โ Create a context-sensitive Professionalism Charter | Segment 4 group output; Segment 5 gallery walk; post-session drafting | Portfolio Component B (30%); peer critique rubric | Create |
| ILO 5 โ Critically evaluate AI outputs for accuracy, currency and bias | Segment 3 four-pass AI Audit and hostile-read exchange | AI Audit Log (formative); Portfolio Component D (10%); 'Critical AI Engagement' rubric criterion | Evaluate |
| ILO 6 โ Exercise and document independent judgement regarding AI content | Introduction think-aloud; Segment 3 Pass 4; AI reflection discussion; Override Record | Portfolio Component D (10%); Override Record; reflection discussion | Evaluate / Create |
Section 6
Required Resources & Technology
The platforms, AI tools and pre-loaded Source Pack the session depends on, plus the interactive reference cards, flashcard deck, scenario quiz and concept-map builder below.
Reference cards
๐ Flashcard deck โ drag-and-drop matching
Drag an item chip (or tap it, then tap a slot) onto the matching description. Correct matches lock in green.
Item chips
Descriptions
๐ฎ Gamified scenario quiz
For each comparative scenario, choose the concept that best explains what is happening, then write the peer-review prompt with a partner.
๐ง Concept-map builder Summative artefact
Choose a scenario, add at least three nodes, and record how each applies.
Add at least three nodes.
Section 7
Differentiation & Inclusivity
Multiple entry points, scaffolds and AI-supported accommodations so that every student can contribute knowledge to the jigsaw โ with extension pathways for advanced learners.
- Multiple jigsaw entry points: the three expert triads (Qualification / Regulation / Autonomy) let policy readers, ethics-oriented and practice-oriented students each enter from a strength.
- Scaffolded Source Packs: each system's pack includes a one-page orientation summary for students with less prior comparative knowledge.
- Peer mentoring: triads deliberately mix students with and without international experience; those with lived experience act as cultural informants, acknowledged by the instructor as an epistemic contribution.
- Bilingual glossary of key terms (performativity, managerialism, professionality, semi-profession) in English, ็น้ซไธญๆ and the other languages represented in the cohort.
- AI-supported scaffolding labelled 'AI-generated, instructor-reviewed': simplified explanations and step-by-step walkthroughs of the Sachs binary, so students always know the status of the material.
- Accessibility: captioned videos (AI captions reviewed before release), tagged accessible PDFs with a dyslexia-friendly font option, dilemma cards in print / digital / audio, and a digital Padlet gallery walk for students with mobility constraints.
- Extended time and alternative formats for the AI Audit Log โ an audio recording is accepted in place of a written log.
- A five-minute optional 'AI basics' clinic before the session for students with limited AI experience.
- Lead the Tier 3 dilemmas (D5 โ a colleague's out-of-school conduct; D6 โ teacher voice on an AI-driven evaluation committee) and serve as gallery-walk discussants rather than presenters.
- Undertake a second AI audit on a Global South or Indigenous education system outside the Source Pack, and report the AI's representational gaps.
- Design the group's Charter with an explicit implementation and resourcing plan, including anticipated opposition.
- Take the Chair role in the Segment 3 hostile read, synthesising critique rather than producing it; and simulate a managerialist-versus-activist policy debate with AI, then critique the simulation's straw-man tendencies.
Section 8
Reflection & Improvement
How to judge whether the social-constructivist and AI-critical goals were met, and what to adjust next time.
Portfolio
Critical Reflection Portfolio
Everything you record here is stored locally on your device. Review it, then export it as evidence for your summative submission.
Nothing is uploaded anywhere โ all data stays in your browser's local storage.