Very relevant, and fairly easy to do; uses the Internet, and direct observation, and statistics (4th grade)
A/B testing is meant for strict experiments where focus is on statistical significance, whereas multi-armed bandit algorithms are meant for continuous optimization where focus is on maintaining higher average conversion rate.