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Authentic assessment in higher education

What it is, why it matters now, and how to make it work.

Authentic assessment asks students to apply knowledge and judgement to meaningful tasks that mirror real contexts; professional, civic or scholarly. It is attracting renewed attention as universities seek approaches that (a) drive deeper learning, (b) strengthen graduate readiness, and (c) remain robust in a world where generative AI is ubiquitous. With thoughtful design and the right workflows, institutions can scale authentic assessment fairly and efficiently and WISEflow is built to support exactly that.

Authentic assessment-8

WHAT IS MEANT BY “AUTHENTIC ASSESSMENT”?

Authentic assessment evaluates students through tasks that resemble the contexts in which knowledge is used. Rather than asking learners to recall facts in isolation, it has them do the discipline: make decisions under realistic constraints, justify choices, and produce outputs that have relevance beyond the classroom.

A practical way to design authenticity is to consider five facets together:

  • Task. The activity students undertake
    Physical context. The conditions and tools they work with
  • Social context. The interactions expected (individual, team, external stakeholders)
  • Form/result. The artefacts students produce and how they present them
  • Criteria. Clear standards aligned to disciplinary or professional judgement

WHY IS EVERYONE TALKING ABOUT IT NOW?

Learning impact and engagement Authentic tasks promote higherorder thinking and transfer. Students practise- applying knowledge, weighing evidence, and defending decisions—leading to deeper learning and better retention.
Graduate outcomes and employability Because students learn how knowledge is used, authenticity connects curriculum to work and civic life. It develops communication, problem solving and evaluative judgement capabilities employers consistently value.
Academic integrity and the AI era When assessments make process visible (e.g., design notes, iterations, reflection, oral defence), the emphasis shifts from a polished product to how learners reached it. This reduces reliance on detection, accommodates declared AI use, and strengthens fairness.
A more nuanced scholarship Authenticity is not a single formula. It can be worklike, disciplinary, or personal. Good design- chooses the right kind of authenticity for the learning outcomes and makes inevitable trade-offs explicit.

ADVANTAGES AND REAL-WORLD DRAWBACKS TO PLAN FOR

Advantages

  • Deeper learning and transfer: students integrate concepts and apply them in novel contexts
  • Graduate readiness: tasks mirror real expectations and decision-making
  • Integrity by design: process evidence and justification discourage shortcut behaviours


Challenges

  • Workload and scalability – performance tasks need clear criteria, moderation and support
  • Reliability and fairness – rubrics, calibration and exemplars are essential
  • Fit to discipline – “realism” should serve the discipline’s ways of knowing, not replace them

COMMON AUTHENTIC ASSESSMENT TYPES (WITH EXAMPLES)

Case investigations & policy briefs

Students analyse complex scenarios, propose evidencebased- actions, and justify trade-offs

Simulations and practicals

 From clinical stations to lab or decisionmaking- simulations under realistic constraints

Portfolios (including multi-modal)

Curated artefacts over time with reflective commentary on growth and standards

Project based outputs

Prototypes, datadriven analyses, or -communityfacing- deliverables for real or plausible clients

Orals, pitches and defences

Vivastyle- examinations and oral justifications that make thinking visible

HOW WISEflow SUPPORTS AUTHENTIC ASSESSMENT AT INSTITUTIONAL SCALE (BY TYPE)

  • Supports rich prompts and resources via advanced authoring (50+ item types) for data, exhibits and multi-part tasks
  • Enables openbook- delivery where appropriate, or closed-book conditions for specific segments or checkpoints
  • Accepts multi-modal evidence (document + figures + short video/audio justification) in a single submission package
  • Provides rubricbased- marking, double-blind options and external reviews to secure fairness at scale
  • Offers inline annotations, audio feedback and cohortlevel- summaries for transparent, learningoriented- feedback
  • Integrates with SSO, Turnitin and institutional systems/APIs for governance and evidence trails
  • Orchestrates assessments that use real desktop or cloud applications within secure conditions, aligning with disciplinary practice
  • Switches on lockdown / invigilated modes for highstakes segments; versions are actively maintained- via regular releases
  • Supports timed windows and BYOD delivery to handle high enrolments without specialist labs
  • Adds AIassisted- visual/audio monitoring where required by programme or regulator, while keeping logs for auditability
  • Captures multi-file outputs (data sets, screenshots, memos) plus a reflective note to surface method and judgement
  • Provides a dedicated portfolio flow to curate artefacts across weeks or years (text, media, links, reflections)
  • Structures milestones and checkpoints with targeted feedback, supporting longitudinal development and standards alignment
  • Enables external examiner access for sampling and calibration without exposing identities where policies require it
  • Uses rubrics for progression, reflective depth and evidence quality; feedback can be aggregated at cohort level for parity
  • Supports programmelevel- continuity (same portfolio through multiple modules) to evidence competence trajectories
  • Accommodates multiartefact- submissions (prototype files, visuals, technical notes) and clientfacing- deliverables
  • Uses rolebased- workflows and eight configurable roles to separate authorship, assessment and QA for complex projects
  • Offers double-blind marking where suitable, and external review of moderation for defensibility in capstones
  • Delivers rich feedback (inline, audio, cohort summaries) mapped to VALUEstyle- criteria (problemsolving-, integrative learning)
  • Integrates via API/SSO so project data and grades flow to institutional systems without manual handling
  • Includes dedicated modules for oral and practical exams, supporting scheduled slots, panels and artefact upload (slides, demo videos)
  • Records short viva/defence artefacts alongside written work to make reasoning and attribution visible in the same flow
  • Applies shared rubrics for clarity on criteria (argument quality, evidence use, audience impact), aiding crossmarker- reliability
  • Supports external participation (e.g., industry guest assessors) under controlled permissions for authenticity and calibration
  • Combines with secure options (if needed) or open-book modes when authenticity is best served by access to real resources
In short, the same platform that runs essays and MCQs also runs orals, practicals, portfolios and simulations – with the workflows, integrity options and moderation tools you need to keep authenticity fair, auditable and scalable.
FURTHER READING

CASE: BUCERIUS LAW SCHOOL

Enhanced feedback, flipped classrooms and digital innovations: Bucerius Law School on the benefits of digital assessment in Germany

Skærmbillede 2026-01-20 kl. 10.30.35-1

PRINCIPLES FOR DESIGNING AUTHENCITY WELL

Use the fivefacet- lens early

Specify task, context, social arrangements, form and criteria, aligned to intended practice

Make the process assessable

Require planning artefacts, drafts, prompt logs (where AI is permitted), reflections and short oral defences

Anchor judgement in rubrics

Calibrate with exemplars and adopt/extend cross-cutting rubrics (critical thinking, problem solving, integrative learning)

Balance workload with workflow

Build in feedback cycles, role separation and moderation strategies your systems can support at scale

GETTING STARTED: A PRAGMATIC PATHWAY FOR PROGRAMMES & INSTITUTIONS

1
Refactor one highenrolment- module

Convert a single assessment to an authentic alternative using the fivefacet- lens and a clear rubric; add one visible process artefact (e.g., brief viva or reflective commentary).

2
Decide your stance on AI use
Design for declared, scrutinised use: require prompt logs or methods notes and include a short defence.
3
Exploit the platform
Configure WISEflow roles, moderation and feedback features; pilot portfolios where longitudinal evidence matters; enable integrations to reduce admin load.
4
Close the loop
Calibrate markers, collect student/marker feedback, and iterate criteria to improve reliability and inclusion term-onterm-.

CLOSING THOUGHT

Authentic assessment is not a silver bullet, but it is a disciplined way to align tasks, standards and evidence with the learning that matters most – especially in an AI mediated- world. With thoughtful design and the right platform workflows, institutions can deliver authenticity at scale without sacrificing fairness or manageability. WISEflow exists to make that practical.

COMMON QUESTIONS FROM HIGHER EDUCATION INSTITUTIONS

Why is authentic assessment gaining attention now?

Three shifts are driving renewed focus:

  1. Deeper learning demands tasks that create transfer and engagement.
  2. Graduate employability calls for realistic, practice-oriented challenges.
  3. Generative AI requires assessment formats that emphasise process, judgement, and justification—less vulnerable to automation.
What are the core elements of an authentic assessment?

Five facets help structure authenticity:

  • Task students undertake
  • Physical context and tools involved
  • Social context (individual, team, external stakeholders)
  • Form/results students produce
  • Criteria aligned to disciplinary judgement

Together, these ensure assessments resemble real-world practice.

What are the advantages of authentic assessment?

Authentic assessment promotes deeper learning, strengthens graduate readiness, and supports academic integrity by design by emphasising justification, process evidence, and realistic decision-making rather than rote recall.

How does WISEflow support authentic assessment at scale?

WISEflow handles diverse assessment types, essays, portfolios, orals, simulations, all within one platform. It offers 50+ item types, open‑ or closed‑book delivery, multi‑modal submissions, rubric‑based marking, double‑blind workflows, moderation tools, inline feedback, and integration with institutional systems.

How can educators design authentic assessments effectively?

Use a five‑facet lens early, build in process evidence (e.g., drafts, reflections, prompt logs), anchor judgement in rubrics, calibrate with exemplars, and ensure that workflows, moderation and feedback cycles are supported by the institutional platform.

How does authentic assessment relate to AI?

Authentic assessment reduces reliance on recall tasks that AI can easily complete. By requiring process evidence, prompt logs (when AI use is permitted), reasoning, and oral justification, it supports fair evaluation in an AI‑mediated world, emphasising judgement, not just output.

How does authentic assessment support academic integrity?

Authentic tasks require students to show reasoning, decision-making and process evidence—elements that are difficult to outsource or generate solely with AI. By embedding justification (e.g., oral defence, method notes, prompt logs), authenticity becomes an integrity‑by‑design strategy rather than relying on detection.

How does WISEflow handle multi‑modal submissions for authentic tasks?

WISEflow allows students to submit documents, datasets, images, audio, video and written justifications as a single, unified package. This supports portfolios, project outputs, and practical tasks without forcing multiple upload points or external tools.

Can authentic assessment work in large cohorts?

Yes, with the right workflows. Clear criteria, moderation processes, role separation, and digital support for feedback cycles make large‑scale delivery feasible. WISEflow’s double‑blind marking, external assessor options, and cohort‑level insights help institutions run authentic tasks reliably even in high‑enrolment modules.

REFERENCES

Further reading

Wiggins, G. “The Case for Authentic Assessment.” Practical Assessment, Research & Evaluation (1990). [uploads.te...blecdn.com] 


Mueller, J. “What is Authentic Assessment?” Authentic Assessment Toolbox. [jonfmueller.com] 


Gulikers, J., Bastiaens, T., & Kirschner, P. “A FiveDimensional- Framework for Authentic Assessment.” ETR&D (2004). [people.bath.ac.uk] 


Sambell, K., & Brown, S. Guides and Compendia on Authentic Assessment (2021–2023). [lta.hw.ac.uk], [qqi.ie] 


QAA. “Advice and resources on Generative AI” (2024). [qaa.ac.uk] 


Kickbusch, S. et al. “Beyond Detection: Redesigning Authentic Assessment in an AIMediated- World.” Education Sciences (2025). [mdpi.com] 


Ajjawi, R. et al. “From authentic assessment to authenticity in assessment.” Assessment & Evaluation in HE (2024/2025). [tandfonline.com] 

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