Both teachers & learners would agree that classroom assessment often feels like a ritual rather than a learning event. Tasks get completed, grades get recorded, feedback gets skimmed, then everyone moves on.
This is exactly the kind of ‘mindless’ assessment that Learning-oriented Assessment (LoA) was designed to push back against. LoA starts from a simple but radical premise: assessment should actively produce learning, not merely audit it. Instead of treating tests as endpoints, it reframes them as learning episodes that shape how students practise, reflect & improve over time.
LoA emerged in the mid-2000s, most notably through David Carless’ work (which integrates assessment for learning, as learning & of learning, with a strong emphasis on student involvement & forward-looking feedback), as a response to the limits of both traditional summative testing & underpowered versions of formative assessment.
Drawing on assessment-for-learning traditions, constructivist pedagogy & feedback research, LoA brings these strands together into a coherent framework that foregrounds task design, student involvement & forward-looking feedback as central drivers of learning.
LoA is widely cited, frequently advocated & increasingly fashionable. But what does the field really emphasise when it talks about learning-oriented assessment? Wakid et al. (2024) address this by mapping five years of international research to see which themes dominate, which contexts are underexplored & where the concept is heading.
The study
Rather than running an experiment with learners, the authors analysed the research landscape itself by means of a systematic literature review.
Key details:
- Corpus: 378 peer-reviewed articles & reviews
- Methods: keyword mapping, citation networks & thematic clustering using VOSviewer & Biblioshiny
- Focus: how LoA is defined, studied & connected to other constructs like feedback, autonomy, technology & critical thinking
LoA here builds on Carless’ framework, which integrates assessment for learning, as learning & of learning, with a strong emphasis on student involvement & forward-looking feedback (Carless, 2007; 2015).
The findings
A few results stand out.
First, research interest is rising. Publications on LoA increased steadily across the five-year period (2018-2023), reaching 378 papers, suggesting the concept is far from a passing trend.
Second, LoA research is global. The most productive countries include the US, China, Spain, Germany, Indonesia, England & Australia. Spain’s prominence is notabl, given its strong assessment-for-learning tradition.
Third, the keyword networks show what LoA is really about in practice. The strongest clusters link LoA with:
- feedback, self-assessment & peer assessment
- learner autonomy & engagement
- blended & online learning environments
- project-based, collaborative & experiential learning
- digital technology & AI-supported assessment
Interestingly, language education appears as a smaller but consistent strand, often connected to interactional competence, formative feedback & classroom-based assessment. This aligns with earlier work in language testing that positions assessment as part of the learning ecology rather than an external measurement tool (Saville, 2021; May et al., 2020).
A simple example helps clarify the distinction. A traditional speaking test might rate fluency & accuracy, return a score & move on. A learning-oriented version might include guided self-reflection, peer comments on interactional strategies & targeted feedback that feeds directly into the next speaking task. Same skill, very different learning consequences.
Why this matters for ELT
For language teachers, LoA resonates strongly with sociocultural & usage-based views of SLA, where learning emerges through interaction, feedback & noticing rather than one-off performance. It also echoes Biggs’ idea of constructive alignment: assessment shapes what learners actually do with language, not just what they know about it.
What this review adds is scale. It shows that LoA isn’t just a nice classroom idea or a language-testing niche. It’s a growing cross-disciplinary movement, increasingly linked to digital learning, autonomy & higher-order thinking.
Teacher takeaways?
- Assessment tasks send powerful messages about what counts as learning, so design them to reward effort, revision & reflection, not just final performance
- Feedback has the most impact when it points forward, shaping the next task rather than just explaining the last one
- Self- & peer-assessment aren’t add-ons but core mechanisms through which learners develop judgement & autonomy
How far does your current assessment practice actually teach, rather than simply measure?
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