A comparison of <scp>TAGteach</scp> and video self‐evaluation to improve dance movement accuracy

Goben et al. (2023) asked which works better for beginner dancers: TAGteach or watching and scoring your own video. Four neurotypical teens learned new dance steps under each method while the researchers counted correct moves.

The team used an alternating-treatments design. One day the dancer heard a click the instant a move was right. Another day they simply watched their last run and filled out a checklist.

Every dancer hit more steps correctly during TAGteach than during video self-evaluation. The order was clear within each participant, but only four dancers were tested, so the authors urge caution.

Quinn et al. (2020) also worked with neurotypical dancers and found that video modeling plus quick feedback beat plain modeling. Goben swaps in TAGteach and still sees higher accuracy, extending the idea that immediate, precise feedback tops delayed review.

Hong et al. (2016) pooled dozens of autism studies and showed video modeling works for daily skills. The new dance data widen that lens to neurotypical teens and to TAGteach, suggesting the click beats self-critique even when the learner is typical.

Marcus et al. (2009) saw self-video beat peer video for kids with autism. Goben flips the comparison: self-evaluation loses to TAGteach. The seeming clash fades once you note the 2009 learners had autism and watched edited clips of themselves, while Goben's teens judged raw footage right after dancing. Population and procedure differences explain the opposite winner.

If you teach any motor skill, try TAGteach first. A quick click pinpoints the exact correct part of the move and keeps the learner engaged. Video self-evaluation can stay in your toolbox for older learners who enjoy critique, but it may not give the same boost. Run an A-B comparison with your client and let the data choose.