Assessment Types, Methods & Alignment
Selecting Assessment Types and Methods
Effective assessment design begins with clarity about what students are expected to learn and how that learning should be evidenced, before selecting assessment methods or types. This page distinguishes between assessment types, which describe the purpose and role of assessment in relation to learning, and assessment methods, which describe how students demonstrate their learning.

The information below provides a range of assessment methods to help you explore options and identify approaches appropriate to your context. It introduces the assessment method categories used in TU Dublin’s programme and module catalogue (Akari), alongside a compendium of assessment methods co-created with TU Dublin students. Together, these provide examples of different ways students can demonstrate their learning and a common framework for describing assessment, rather than an exhaustive list of possibilities. Assessment tasks may vary significantly in form and design within and across categories, depending on the specific learning context and intended outcomes.
The page also offers guidance on selecting assessment methods that are fit for purpose and appropriate to your context. It explores how assessment can be 'constructively aligned' with intended learning outcomes and informed by principles of good assessment practice, while considering factors such as authenticity, inclusivity, generative AI resilience and integration, and 'practicability' (workload and feasibility).
Note: View the processes for making changes to approved modules at TU Dublin, including amending assessment methods.
Reflect:
As you read through this page, use a current assessment as a reference point. Consider how well the assessment method(s) provide valid evidence of the intended learning outcomes and support the assessment's purpose. You might also reflect on whether alternative approaches could offer different opportunities for students to demonstrate their learning.
- Why am I assessing?
- What role should this assessment play in the learning process?
- When should the assessment occur?
Reviewing this table, use a current assessment as a reference point and consider:
- Why are you assessing?
- When does the assessment take place in the learning process?
- What do you want students to learn from the assessment experience?
- Which assessment type(s) best matches that purpose

|
Diagnostic Assessment |
Ipsative Assessment |
Synoptic Assessment |
|---|---|---|
| Diagnostic assessment is used before teaching begins to understand what learners already know, where they may need help, and how learning can best support them. | Ipsative assessment is used throughout learning to understand how learners are progressing over time, how their current performance compares with their previous performance, and how they can continue to improve. | Synoptic assessment focuses on whether learners can draw together and apply learning from different topics, modules, or areas of study. The emphasis is on integration, synthesis, and making connections. |
| e.g. Pre-module questionnaires and quizzes, prerequisite skills assessments, knowledge checks. | e.g. Learning portfolios and journals, draft-to-final artefact comparisons, personal learning contracts and progress reviews. | e.g. Capstone projects and dissertations, integrated projects. practical or performance assessments (essentially any assessment that requires learners to bring together and apply learning from different parts of a course) |
Read our guidance on Assessment Of, For, and AS Learning here.
Diversifying and Aligning Assessment

While diversifying assessment broadens the ways in which students can demonstrate learning, it is also useful to consider how different assessment activities work together to provide a richer picture of achievement. Sometimes described as a layered or ‘Swiss cheese’ approach, this involves students demonstrating their learning through multiple, connected assessments, each providing evidence of different aspects of knowledge, skills, or competence. Rather than relying on a single assessment task, a layered approach combines multiple sources of evidence to create a more complete picture of learning. In addition to strengthening validity, it can support academic integrity and increase resilience to inappropriate uses of generative AI by requiring students to demonstrate learning across different stages, formats, or contexts. Expand the Layered Assessment section below to learn more.
Diversification, however, is not an end in itself. The value of any assessment strategy depends on how effectively it supports and evidences the intended learning outcomes. This is where constructive alignment becomes important. Constructive alignment involves deliberately aligning learning outcomes, teaching and learning activities, and assessment tasks so that students have meaningful opportunities to develop and demonstrate the intended knowledge, skills, and competencies (Biggs & Tang, 2011).
Constructive alignment provides a framework for selecting assessment types and methods purposefully, and ensuring that assessment choices are driven by learning outcomes rather than by variety alone. Expand the Constructive Alignment section below to explore how this approach can support effective assessment design.
'Constructive alignment’, a concept from curriculum design, involves deliberately connecting intended learning outcomes, learning and teaching activities, and assessment, so that students have meaningful opportunities to develop and demonstrate the knowledge, skills, and competencies that matter most. From this perspective, assessment design starts with the learning students are expected to achieve, with assessment types and methods selected to provide appropriate evidence of those outcomes and support valued learning.
The goal is not simply to increase the range of assessment methods or innovate for its own sake, but to make deliberate choices about how students can best demonstrate their learning. Constructive alignment provides an important foundation for these decisions, but should be considered alongside broader principles of good assessment design. As outlined in our LTA Assessment Principles, assessment should be meaningful, educational, developmental, inclusive, trustworthy, and sustainable: supporting important learning, feedback and learner agency; providing equitable opportunities to demonstrate achievement; generating credible evidence; and remaining manageable for students and staff.
Together, constructive alignment and these principles provide a framework for purposeful assessment design, helping programme and module teams consider not only whether assessment aligns with learning outcomes, but also how well it supports meaningful learning, development, inclusion, academic integrity, and a sustainable learning experience. But coming back to the point:
What is 'Constructive Alignment'?
'In constructive alignment we systematically align the teaching/learning activities, as well as the assessment tasks, to the intended learning outcomes. This is done by requiring the students to engage the learning activities required in the outcomes' (Biggs and Tang, 2007, p. 11).
In simple terms, constructive alignment means making sure that what students are asked to do in their learning activities and assessments directly supports what they are supposed to learn. When designing assessment, constructive alignment implies that every assessment task should directly measure the intended learning outcomes and require students to demonstrate the knowledge or skills those outcomes describe. In other words, assessments should be purposefully designed to align with and support the learning you want students to achieve. 'Alignment' is a key concept in curriculum and instructional design that refers to the deliberate and coherent connection of learning outcomes, teaching methods, and assessments to facilitate effective student learning.
Reflection:
Thinking about the assessment strategy for one of your modules, consider:
- Are all learning outcomes being assessed appropriately, or are some over- or under-assessed?
- Do the assessment types and methods provide valid and meaningful evidence of your learning outcomes?
- Could other assessment types or methods enable students to demonstrate those outcomes more effectively?
- Do the assessments collectively provide a balanced and comprehensive picture of student achievement?
As you reflect, remember that constructive alignment is not about matching individual assessments to learning outcomes in a mechanical way. Rather, it involves considering how the assessment strategy as a whole supports meaningful learning and provides credible evidence that students have achieved the intended outcomes.
Misalignment Between Outcomes and Assessment
- The learning outcomes require learners to analyse, evaluate, or create, but the assessment tasks primarily test factual recall or reproduction of information.
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An assessment task measures a narrow subset of the learning outcomes, leaving some important knowledge, skills, or competencies unassessed.
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The learning outcomes emphasise practical or applied skills, but assessment relies exclusively on written examinations or essays.
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Learners are expected to work collaboratively to complete an assessment task, but teamwork, collaboration, or group-working skills are not explicitly referenced in the learning outcomes.
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Assessment places considerable emphasis on presentation, design, or technical skills that are not reflected in the learning outcomes or assessment criteria.
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The assessment strategy includes multiple tasks that repeatedly assess the same outcome, while other outcomes receive little or no assessment attention.
Misalignment of Assessments and 'Teaching and Learning Activities'
It is worth remembering that misalignment is not always a problem of assessment tasks failing to match learning outcomes. Constructive alignment emphasises the relationship between learning outcomes, teaching and learning activities, and assessment, reminding us that students need meaningful opportunities to develop the knowledge, skills, and competencies that assessment subsequently asks them to demonstrate.
In practice, misalignment can occur when learners are assessed on forms of performance that they have had limited opportunity to develop, practise, or receive feedback on during the module. For example, students may be expected to undertake critical evaluation, professional judgement, collaboration, or authentic problem-solving in assessment, despite most learning activities focusing on content transmission or knowledge acquisition.
Reflection
Thinking about a the same module, consider the following:
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How well do the teaching, learning activities, and assessment work together to support achievement of the learning outcomes?
- Do students have sufficient opportunities to develop and practise the knowledge, skills, and competencies that assessment requires them to demonstrate?
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Are the teaching and learning activities (for example, lectures, discussions, workshops, labs, tutorials, projects, practice exercises, or other learning tasks students undertake) aligned with the kinds of thinking, performance, or application expected in the assessments?
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Where do students receive feedback, guidance, or opportunities to improve before summative assessment?
Reliability requires that assessment of the same learning by different modes should render similar outcomes (Bloxham & Boyd, 2007, 38)
Reliability is an important consideration when reviewing or redesigning assessment practices. If you are exploring alternative assessment methods for a module, you may wish to consider:
- What learning are you trying to assess? Is the new assessment method measuring the same learning outcomes as the existing method?
- Are there features of the new format that could introduce unintended variation in student performance?
- If student performance changes under the new assessment method, how will you establish whether this is due to learning differences or the assessment approach itself?
A layered assessment strategy is an approach in which multiple, connected assessment activities are deliberately designed to build on one another and collectively provide evidence of learning. One could argue that while diversification is about broadening the range of assessment, 'layering' is about connecting them. In a 2024 discussion about securing assessment tasks 'against AI misuse' in the 'AI in Education Podcast' (Bowen & Fleming, 2024) Phil Dawson, of the Centre of Research in Assessment and Digital Learning (CRADLE) at Deakin University, introduced the idea of the 'Swiss Cheese model' as one way of layering assessment types and methods to create multiple sources of evidence of learning, making assessment more 'resilient' to inappropriate uses of generative AI.
An AI-resilient assessment strategy is one that can generate valid evidence of learner achievement and uphold academic integrity even when learners have access to AI tools. The ‘Swiss Cheese’ model starts from the premise that no single assessment method is entirely ‘immune to' or secure against AI. Instead, it advocates using multiple, connected assessment activities to create several sources of evidence of learning, making the overall assessment strategy more 'resilient' to inappropriate uses of AI.

For example, instead of a single, high-stakes written assignment, students might develop a project through a sequence of connected assessment tasks, such as a proposal, a written submission, and an oral presentation or defence. Additional elements, including draft submissions, peer feedback activities, or reflective commentaries, could provide further evidence of the learning process. Together, these components may both create a richer picture of student achievement and mitigate against the risks of ai-supported academic misconduct.
Reflection:
Think about a module assessment strategy that you would like to review. Using the lens of the 'Swiss Cheese' model, consider how your choice of assessment types and methods can work together to provide multiple, complementary sources of evidence of learning and reduce reliance on any single assessment method. Consider the following questions:
- What types and methods of assessment are you currently using, and what does each tell you about what students have learned?
- Are any important learning outcomes, knowledge, skills, or competencies being assessed only once, or in only one way?
- What are the ‘holes’ in your assessment methods? For example, where might students be able to bypass demonstrating their own learning through inappropriate use of Gen AI?
- Could you combine different assessment types and methods so that the strengths of one help to address the weaknesses of another? What might this look like?
Important: As you consider a layered approach, also reflect on what is practical and proportionate. What combination of assessment activities can you realistically design, support, mark, and moderate, and what will be manageable for students to complete?
The table below presents the assessment method categories used in TU Dublin's programme and module catalogue (Akari). These categories provide a shared language and common framework for describing assessment across programmes and modules, supporting consistency in curriculum design and documentation. They should not, however, be viewed as an exhaustive list of assessment possibilities. Assessment methods can be designed and adapted in many different ways within and across categories, and innovative approaches may combine elements of multiple methods to create assessment experiences that are appropriate to the intended learning outcomes, discipline, and learning context.
- Which methods might provide the most valid and appropriate means for students to demonstrate achievement of the intended learning outcomes?
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How well might each method support constructive alignment between the learning outcomes, learning activities, and assessment task?
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Are there opportunities to diversify assessment methods across your modules to broaden the range of skills, capabilities, and forms of achievement that students can demonstrate?
- What other methods might you use to support assessment that is authentic, meaningful, and relevant to disciplinary or professional practice?
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How resilient are your current assessment methods to AI-substitution and misconduct, and what permutation (or layering) of methods could provide stronger assurance of learning and academic integrity?

TU Dublin/NTUTORR Compendium of Assessment Methods

- O’Neill, G., & Padden, L. (2022) Diversifying assessment methods:
Barriers, benefits and enablers, Innovations in Education and Teaching International, 59:4,
398-409, DOI: 10.1080/14703297.2021.1880462 - Biggs, J., & Tang, C. (2011). Teaching for quality learning at university (4th;4; ed.). Open University Press (Tu Dublin Library ebook; see also 2022 5th edition physical copy)
- Bowen, D., & Fleming, R. (Hosts). (2024, September 12). Assessment and Swiss Cheese: Phill Dawson (Episode 9, Series 9) [Audio podcast episode]. In AI in Education Podcast. https://aipodcast.education/assessment-and-swiss-cheese-phill-dawson-episode-9-of-series-9
- Bloxham, S., & Boyd, P. (2007). Developing effective assessment in higher education: A practical guide. Open Univ Press. (Physical Book: TU Dublin Library)
- Brennan Bell, R., Kenny, C., Bush, J., Khan, F., Ogunbadejo, T., Mokhtari, A., Raheem, H., Shekoni, O., & Salako, C. (2024). A compendium of assessment methods: From students' perspectives. TU Dublin & NTUTORR. https://www.tudublin.ie/media/website/explore/about-the-university/academic-affairs/ntutorr/media/Compendium-of-Assessment-Methods---from-Students'-Perspectives.pdf