A research abstract is a reader's first — and often only — encounter with your work. This course familiarises you with the genre conventions of scientific research abstracts so that you can analyse existing abstracts critically and write your own with confidence.

Abstract Transformation

First Draft

Watch a weak first draft become a strong abstract — one criterion at a time. Click the abstract to advance, or wait 2 seconds.

Paused — click to resume

Model abstract: Blake, J. et al. (under review). Embodied virtual agents for foreign language anxiety research: Biosignal signatures of L1–L2 conversation in VR.

Four Evaluation Criteria

Novelty

Sentences 1–3 identify the gap: no prior system has characterised biosignal signatures of FLA in a VR conversation context. The word however signals the gap directly.

Rigour

N = 40, a within-subjects design, a pre-study focus group with three educators, and named sensors (PPG + eye tracking) give readers evidence to assess whether the results are trustworthy.

Substance

Six specific measures are named — BPM, MeanNN, LF, LF/HF, SampEn, Saccade Amplitude. Results at this level of specificity require months of data collection and cannot be trivially reproduced.

Significance

Two numbered takeaways connect the technical findings to language learning technology and biosignal research. Numbering the contributions makes the claims scannable and leaves no ambiguity about what the paper establishes.

Ready to explore the genre?

Start Unit 1