14 Adapting to a Different Teaching Context

Ask about the learners and institution in front of you.

14.1 Transfer the questions, check the assumptions

The book’s examples have an Australian business-education starting point. They are not templates for every institution, culture or legal system. Adapt the evidence, criteria, language and conditions, not just the names.

A national label does not tell you an individual student’s communication preferences or an institution’s assessment rules. Ask students and local colleagues about the actual constraints. Avoid prompting a model to stereotype an entire region as indirect, hierarchical or technologically advanced.

14.2 A worked adaptation decision

Consider a hypothetical delivery of the PDP pilot in a multilingual class where some students use shared phones and connectivity is intermittent. These are supplied planning constraints, not research findings about a country.

The capability remains planning and justifying a fair first response. The educator provides the source cards in accessible print and digital form, checks translated terminology with a suitable reviewer and permits a typed, handwritten or appropriately accommodated spoken response.

The model route is optional. Students can use the fixed exchange and feedback. No personal account is required. Where a student chooses another language, the marking plan must support judging the same reasoning rather than relying on an unchecked machine translation.

For the employment context, replace the invented policy only after suitable local review. Until then, label it clearly as an exercise criterion and do not present the activity as teaching local employment law.

These adaptations preserve the capability while changing how students access and demonstrate it. They do not claim that all differences can be solved by translating the prompt.

14.3 A local adaptation record

Question	Evidence to obtain
What capability is required?	Unit/programme outcomes and assessor agreement
What rules apply?	Institutional policy and appropriate local advice
What access is available?	Student input and practical device/format tests
What language support is needed?	Learner needs and reviewed terminology
What could cause harm or exclusion?	Student/support-team consultation
What shows independent capability?	Outcome-matched assessment design

Record who checked each item and what remains uncertain. A model’s country summary is not an institutional approval.

14.4 Legal summaries need scope

GDPR does not universally require explicit consent for every processing activity. Article 6 provides several lawful bases; other rules, including special-category conditions, may also matter. The appropriate basis and safeguards require a context-specific decision. GDPR official text.

Under FERPA, rights transfer to an eligible student at age 18 or attendance at a postsecondary institution, including attendance below 18. A blanket rule about parental consent for all minors is therefore misleading in this setting. US Department of Education guidance.

These examples illustrate why short regional recipes are unreliable. Use institutional privacy and legal support for the actual activity. Do not ask students to upload records while the applicable permissions are unresolved.

14.5 Distinguish proposals from observed outcomes

A proposed adaptation may be sensible without having been tested. State what would be measured: independent-task performance, access, staff/student time and unintended effects. Satisfaction alone does not establish learning.

14.5.1 Three hypothetical planning examples

The following examples are fictional teaching scenarios, not reports about identified institutions or observed results. Their constraints are invented for planning practice, not claims about the countries named. None demonstrates improved learning, satisfaction, access or regulatory compliance.

14.5.1.1 Example 1: a multilingual course in Germany

Suppose a business school wants to run P1 in a class using two languages of instruction. The teaching team has source cards but has not yet approved an AI service or checked the translated assessment terminology.

A proposed first step is to have a suitable reviewer check both language versions against the same capability and criteria. Until the institution approves an AI route and its data handling, learners use the fixed records and feedback. Locating a provider in Europe would not, by itself, establish compliance.

Before a pilot, the team must agree who can assess both language versions, what students may submit and how records will be handled. After an actual pilot, it could inspect disagreements in marking, independent-task evidence and access problems. Those observations are not supplied here.

14.5.1.2 Example 2: disagreement in a Singapore seminar

Suppose a business educator in Singapore wants students to question P1-F’s confident feedback. In this invented class, some learners prefer a private written response before discussing disagreement aloud. This is a supplied class constraint, not a description of Singaporean students generally.

The educator could let everyone annotate P1-F individually, then compare one decision with a partner before choosing whether to contribute to the group. Credit would depend on the source-backed explanation, not on public confidence or willingness to oppose an authority figure.

The pilot question is whether learners can identify the unsupported April warning and explain their response under the stated conditions. The educator would also ask which participation routes were usable. No gain in engagement or learning is assumed from the proposed format.

14.5.1.3 Example 3: intermittent connectivity in Nigeria

Suppose a Nigerian business school plans an S1 supplier activity where some learners share phones and the room’s internet connection is unreliable. These are fictional local conditions, not a national infrastructure assessment.

The educator could distribute a compact print sheet containing every offer, the quantity, deadline and budget. Learners calculate costs and capacity before comparing a fixed recommendation. A digital copy provides the same inputs; neither route requires a personal account or a live model.

Before teaching, check printing costs, readable layout and whether every learner can obtain the materials. During an actual pilot, record missing inputs, arithmetic errors, completion obstacles and staff time. If either route excludes learners, revise access arrangements before expansion. The scenario does not establish that a mobile-first approach improves educational quality.

14.6 Activity: adapt one constraint

Allow 15 minutes; no AI required. Change one condition in the pilot: unreliable connectivity, a different language of instruction or a different institutional data policy. Identify what must change, what capability remains the same and who needs to review the adaptation.

A sound answer names a practical route and a remaining check. “Ask AI to make it culturally appropriate” is a proposal for another output, not evidence that the adaptation works.

# Adapting to a Different Teaching Context {#sec-global} > Ask about the learners and institution in front of you. ## Transfer the questions, check the assumptions The book's examples have an Australian business-education starting point. They are not templates for every institution, culture or legal system. Adapt the evidence, criteria, language and conditions, not just the names. A national label does not tell you an individual student's communication preferences or an institution's assessment rules. Ask students and local colleagues about the actual constraints. Avoid prompting a model to stereotype an entire region as indirect, hierarchical or technologically advanced. ## A worked adaptation decision Consider a **hypothetical** delivery of the PDP pilot in a multilingual class where some students use shared phones and connectivity is intermittent. These are supplied planning constraints, not research findings about a country. The capability remains planning and justifying a fair first response. The educator provides the source cards in accessible print and digital form, checks translated terminology with a suitable reviewer and permits a typed, handwritten or appropriately accommodated spoken response. The model route is optional. Students can use the fixed exchange and feedback. No personal account is required. Where a student chooses another language, the marking plan must support judging the same reasoning rather than relying on an unchecked machine translation. For the employment context, replace the invented policy only after suitable local review. Until then, label it clearly as an exercise criterion and do not present the activity as teaching local employment law. These adaptations preserve the capability while changing how students access and demonstrate it. They do not claim that all differences can be solved by translating the prompt. ## A local adaptation record | Question | Evidence to obtain | |---|---| | What capability is required? | Unit/programme outcomes and assessor agreement | | What rules apply? | Institutional policy and appropriate local advice | | What access is available? | Student input and practical device/format tests | | What language support is needed? | Learner needs and reviewed terminology | | What could cause harm or exclusion? | Student/support-team consultation | | What shows independent capability? | Outcome-matched assessment design | Record who checked each item and what remains uncertain. A model's country summary is not an institutional approval. ## Legal summaries need scope GDPR does not universally require explicit consent for every processing activity. Article 6 provides several lawful bases; other rules, including special-category conditions, may also matter. The appropriate basis and safeguards require a context-specific decision. [GDPR official text](https://eur-lex.europa.eu/eli/reg/2016/679/oj/eng). Under FERPA, rights transfer to an eligible student at age 18 or attendance at a postsecondary institution, including attendance below 18. A blanket rule about parental consent for all minors is therefore misleading in this setting. [US Department of Education guidance](https://studentprivacy.ed.gov/resources/eligible-student-guide-family-educational-rights-and-privacy-act-ferpa). These examples illustrate why short regional recipes are unreliable. Use institutional privacy and legal support for the actual activity. Do not ask students to upload records while the applicable permissions are unresolved. ## Distinguish proposals from observed outcomes A proposed adaptation may be sensible without having been tested. State what would be measured: independent-task performance, access, staff/student time and unintended effects. Satisfaction alone does not establish learning. ### Three hypothetical planning examples The following examples are **fictional teaching scenarios**, not reports about identified institutions or observed results. Their constraints are invented for planning practice, not claims about the countries named. None demonstrates improved learning, satisfaction, access or regulatory compliance. #### Example 1: a multilingual course in Germany Suppose a business school wants to run P1 in a class using two languages of instruction. The teaching team has source cards but has not yet approved an AI service or checked the translated assessment terminology. A proposed first step is to have a suitable reviewer check both language versions against the same capability and criteria. Until the institution approves an AI route and its data handling, learners use the fixed records and feedback. Locating a provider in Europe would not, by itself, establish compliance. Before a pilot, the team must agree who can assess both language versions, what students may submit and how records will be handled. After an actual pilot, it could inspect disagreements in marking, independent-task evidence and access problems. Those observations are not supplied here. #### Example 2: disagreement in a Singapore seminar Suppose a business educator in Singapore wants students to question P1-F's confident feedback. In this invented class, some learners prefer a private written response before discussing disagreement aloud. This is a supplied class constraint, not a description of Singaporean students generally. The educator could let everyone annotate P1-F individually, then compare one decision with a partner before choosing whether to contribute to the group. Credit would depend on the source-backed explanation, not on public confidence or willingness to oppose an authority figure. The pilot question is whether learners can identify the unsupported April warning and explain their response under the stated conditions. The educator would also ask which participation routes were usable. No gain in engagement or learning is assumed from the proposed format. #### Example 3: intermittent connectivity in Nigeria Suppose a Nigerian business school plans an S1 supplier activity where some learners share phones and the room's internet connection is unreliable. These are fictional local conditions, not a national infrastructure assessment. The educator could distribute a compact print sheet containing every offer, the quantity, deadline and budget. Learners calculate costs and capacity before comparing a fixed recommendation. A digital copy provides the same inputs; neither route requires a personal account or a live model. Before teaching, check printing costs, readable layout and whether every learner can obtain the materials. During an actual pilot, record missing inputs, arithmetic errors, completion obstacles and staff time. If either route excludes learners, revise access arrangements before expansion. The scenario does not establish that a mobile-first approach improves educational quality. ## Activity: adapt one constraint **Allow 15 minutes; no AI required.** Change one condition in the pilot: unreliable connectivity, a different language of instruction or a different institutional data policy. Identify what must change, what capability remains the same and who needs to review the adaptation. A sound answer names a practical route and a remaining check. “Ask AI to make it culturally appropriate” is a proposal for another output, not evidence that the adaptation works.