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Which future teachers struggle in classroom simulations?

In video-based teaching simulations, three learner profiles emerged; knowledgeable pre-service teachers navigated tasks more successfully than struggling peers.

Source

Video-based simulations in teacher education: the role of learner characteristics as capacities for positive learning experiences and high performance

Nickl M, Huber SA, Sommerhoff D, et al. · International journal of educational technology in higher education · 2022

doi.org/10.1186/s41239-022-00351-9Read the full paper ↗5 citationscc by

What they did

Researchers invited 150 pre-service teachers from seven German teacher-education programs to complete questionnaires and a video-based simulation of on-the-fly student assessment. Latent profile analysis grouped learners by cognitive and motivational-affective characteristics, then compared simulation experiences and assessment performance.

What they found

Three profiles appeared: knowledgeable, motivated, and potentially struggling. Profiles differed in situative learning experiences and process indicators of assessment skill, with knowledgeable learners generally ranking higher on several process measures. Results underscore that simulations are not one-size-fits-all.

The limits

What it doesn't show

Participation was voluntary and remunerated within courses, not a randomized curriculum experiment. Profiles describe associations within one simulation design and may not prescribe interventions yet.

Key terms

Video-based simulation
A practice environment where pre-service teachers assess students using authentic classroom video scenarios.
Latent profile analysis
A person-centered method that groups people with similar patterns of measured characteristics.
On-the-fly assessment
Teachers’ in-the-moment judgments of student understanding during class activity.
Pedagogical content knowledge (PCK)
Knowledge of how to teach specific subject matter to learners.
Situative learning experiences
Motivation and emotion experienced during a specific learning activity, not just general traits.

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Quiz yourself

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How many profiles were identified?

Common questions

How many learner profiles were found?

Three: knowledgeable, motivated, and potentially struggling.

Who participated?

150 pre-service teachers across seven German university programs.

Why do profiles matter for simulations?

Different profiles navigate simulations differently, so supports may need individualization.

Was the simulation about grading essays only?

No — it targeted diagnostic assessment skills while students work on tasks in class-like video scenes.

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