Ayten Ozkirac Kirsal, Gul Kahveci
Using varied technological agents-assisted simultaneous prompting for teaching discrete skills to children with developmental disabilities
International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience
advent era artificial intelligence speech recognition engine technology profound impact social production life education fields voice interaction basic practical type humancomputer interaction build intelligent automatic physical education teaching mode paper combines humancomputer interaction based speech recognition technology physical education teaching students input voice signals system receives signals analyzes signals recognizes signals feeds back information students multiple forms system process external speech signal paper uses mel cepstral coefficient algorithm extract speech information comparing speech recognition rate antinoise rate hidden markov model probabilistic statistics neural network hybrid model hidden markov rate statistical neural network combination speech recognition engine uses hybrid model speech recognition rate 983 average antinoise rate reach 85 comparing humancomputer interaction physical education teaching method traditional teaching method humancomputer interaction method superior traditional teaching method acquisition physical knowledge acquisition physical skills satisfaction physical education courses ability active learning effectively solves drawbacks traditional physical education rationally uses humancomputer interaction technology basis violating physical education realize diversification physical education improve quality teaching improve students individual development students autonomous learning ability therefore combination humancomputer interaction physical education based recognition engine technology trend todays physical education development