Robin. How should design assignments in the AI era be done in practice?. 2026-09-21.
Assignments should state where AI may contribute, what must be disclosed, and which work remains independent, using drafts, versions, citations, revision reasons, and oral explanation to observe contribution. Oral examinations add a verification option whose scope, accessibility, and workload should be stated in the brief.
https://edu.hhhh.life/en/guide/ai-assignment-design/#answer
12direct citations
12source organizations
2026-09-18evidence through
READ THIS FIRST
Three judgments to remember
01
Put the rule inside each assignment
02
Use process artifacts to observe student judgment
03
Add independent and human checks for high-stakes work
ACTION PLAN
What to do
Work through five steps in order, preserving process records and the linked evidence. Return to an earlier step when conditions change.
01
Define the problem and boundary
Classify AI use as allowed, disclosed, approval-required, or prohibited according to the learning goal. Oral examinations add a verification option whose scope, accessibility, and workload should be stated in the brief.
Is design assignments in the AI era tied to an observable task, covered population, and prohibited-use boundary?
Two National Guides Define the Boundary Between 'Learning About AI' and 'Using Generative AI Independently' · Teacher Generative AI Guidelines State That AI Grading Cannot Directly Serve as the Final Evaluation of Open-Ended Work · U.S. Teen AI Survey: 70% Use It for Schoolwork as Classroom AI Literacy Lags · Wyoming and Penn Professors Turn to Oral Exams as Generative AI Reshapes Assessment
□
Are owners, human review, data handling, incident reporting, and appeals explicit?
Google and Khan Academy Co-Develop Writing Coach, Using Gemini for Feedback During the Writing Process · Google Classroom Begins Drafting Personalized Feedback Based on the Assignment, Grade Level, and Teacher Priorities · Canadian Study Reveals Hidden AI-Detection Workload for Teachers · AI-Generated Text Enters Elementary Reading Classrooms as Researchers Flag Three Risks · New South Wales Limits Take-Home HSC Assessments to Address AI Use
□
Do results include independent performance, sustained use, workload, safety events, and group differences?
UK Exams Regulator Continues to Ban AI-Only Scoring While Allowing Validated Supporting Uses · Teachers and Students Need to Know Which Parts of Learning Should Not Use AI · OpenAI Releases Learning-Outcome Measurement Tools, Shifting Evaluation Toward Reasoning and Mastery
□
Do continue, adjust, pause, and exit decisions each have a threshold, date, and owner?
Two National Guides Define the Boundary Between 'Learning About AI' and 'Using Generative AI Independently' · UK Exams Regulator Continues to Ban AI-Only Scoring While Allowing Validated Supporting Uses
CURRENT ANSWER
How we answer today
Each judgment links to the relevant news and original sources. New evidence enters the corresponding dimension.
01
Put the rule inside each assignment
Student guidance, teacher guidance, and high-use surveys support assignment-level rules and disclosure. Oral examinations add a verification option whose scope, accessibility, and workload should be stated in the brief.
Writing tools, classroom feedback, and integrity research support preserving drafts, feedback, and student revisions. New South Wales preserves process evidence through oral checks, logs, and work authentication. Risks in AI-rewritten reading material also require teachers to record sources and human edits.
These limits determine how strong a conclusion the page can support.
01
These steps are editorial recommendations informed by public sources. The full workflow has not been validated as an intervention; adapt it to local curricula, age, and resources.
02
Product features, coverage, and participation establish an implementation entry; learning effects require independent tasks, delayed measures, and disaggregated results.
RELATED QUESTIONS
What else do readers ask?
Each adjacent search question receives a concise answer linked to its supporting evidence.
01
Where should the design assignments in the AI era workflow begin?
+
Classify AI use as allowed, disclosed, approval-required, or prohibited according to the learning goal. Oral examinations add a verification option whose scope, accessibility, and workload should be stated in the brief.
How should human responsibility and safety boundaries be preserved?
+
Writing tools, classroom feedback, and integrity research support preserving drafts, feedback, and student revisions. New South Wales preserves process evidence through oral checks, logs, and work authentication. Risks in AI-rewritten reading material also require teachers to record sources and human edits. Each step should name an owner, review point, data boundary, and appeal route.
eSchool News reported on September 18, 2026 that Catherine Hartmann, a professor at the University of Wyoming, redesigned her upper-level humanities course around oral assessment after a 2023 assignment in a history of meditation course came back with a copy-pasted AI prompt left at the top. Students practiced discussion and oral explanation throughout the semester, and the final oral exam became the culmination of that work. At the University of Pennsylvania, mathematics professor Robin Pemantle has students work calculus problems at the board while explaining their reasoning aloud.
Education Week reports that AI-generated text has entered elementary school classrooms alongside classroom library books and early reading curricula. Tools for educators can rewrite articles to different reading levels or generate decodable text. Jean Gunderson, a Title I reading interventionist in South Dakota, said AI can write stories and comprehension questions in minutes, a task that used to take hours, but she must prompt precisely and sort through all output. Researchers flagged three risks: AI's middle-ground tone, tools struggling to hit requested grade levels, and weak alignment with academic standards and curricula.
The New South Wales government released new rules on 1 September 2026 limiting schools to a maximum of one take-home assessment task worth no more than 15 per cent of the school-based assessment mark, or 7.5 per cent of the total HSC mark. The advice from the NSW Education Standards Authority applies to the Class of 2027 beginning HSC studies in Term 4 this year and to students starting Year 11 in Term 1, 2027. HSC major works and some courses including creative arts, technologies and English Extension 2 are exempt, but schools must still authenticate students' work.
Common Sense Media released 'Teens in the AI Era: Schoolwork and Skills That Matter, 2026,' based on a nationally representative survey of 1,017 U.S. teenagers ages 13–17. Seventy percent use AI for schoolwork; among them, 77% use it to brainstorm, check work, or get feedback, while 63% use it to obtain answers. Yet only 27% said a teacher had discussed in class what AI is or how it works.
A Mount Saint Vincent University study surveyed 53 educators and held three focus groups with 12 participants. It found that higher-education faculty lack institutional guidance, must judge AI use themselves, and often act 'on suspicion rather than evidence.' The study proposes a CARE framework with four commitments: critical AI literacy, accountable governance, relational and affective pedagogy, and ethical orientation. An earlier Fraser Institute report found that 64.7% of teachers in grades 6–12 had received neither training nor tools for identifying AI use.
On August 4, Tech & Learning discussed learning contexts in which teachers and students should avoid AI. The criterion is the purpose of the task: when the practice itself is meant to build foundational ability, personal expression, or independent judgment, handing it directly to AI weakens the learning process.
On July 16, Ofqual updated its approach to regulating AI in qualifications, continuing to prohibit AI as the sole scorer while allowing validated supporting and quality-assurance uses.
On March 4, OpenAI announced a set of tools for measuring learning outcomes, disclosed early research on Study Mode, and said it planned to continue validation through randomized trials.
On February 19, Google launched AI-suggested feedback in Classroom. Gemini can draft personalized written guidance using a student's assignment, grade level, and focus areas specified by the teacher.
On January 21, Google and Khan Academy announced a partnership to enhance Khan Academy's Writing Coach with Gemini models. The product is focused on guidance and feedback during the writing process.
In December 2025, the Expert Steering Committee for Teacher Workforce Development under China's Ministry of Education released the Guidelines for Teachers' Use of Generative Artificial Intelligence (Version 1), covering learning, teaching, student development, evaluation, administration, and research.
Guidelines for Teachers' Use of Generative Artificial IntelligenceSchools / Educators
In May 2025, the Basic Education Teaching Steering Committee under China's Ministry of Education released the Guidelines for General Artificial Intelligence Education in Primary and Secondary Schools (2025 Edition) and the Guidelines for the Use of Generative Artificial Intelligence by Primary and Secondary School Students (2025 Edition). The former defines curriculum progression, while the latter governs generative AI use by students, teachers, schools, and education authorities.
Guidelines for General AI Education and Generative AI Use in Primary and Secondary SchoolsSchools / Educators
KEEP READING
Continue reading
Enter through an adjacent search question or return to a long-term topic for its full evidence base.
