Human-Machine Peer Learning : Curriculum 2

HMPL%20Curriculum%202%20(HMPL%20C2)%20introduced%20in%20IHIET%20paper%20is%20a%20sequence%20of%20exercises%20at%20the%20outset%20of%20which%20the%20human%20individual%20I%20acquires%20the%20ability%20to%20read%20texts%20while%20the%20artificial%20utterance-processing%20tutor%20U%20acquires%20the%20ability%20to%20accurately%20process%20I's%20speech.

HMPL Curriculum 2 (HMPL C2) introduced in IHIET paper is a sequence of exercises at the outset of which the human individual I acquires the ability to read texts while the artificial utterance-processing tutor U acquires the ability to accurately process I's speech.

Human-Machine Peer Learning (HMPL) provides a paradigm for construction of such human-machine learning curricula from which both humans as well as machines benefit.

In our previous HMPL Curriculum 1 (HMPL-C1) study which focused on extending foreign language vocabulary for human learners and increase of speech-recognition accuracy of artificial learners, we have „observed increase in amount of matches between expected and predicted labels which was caused both by increase of human learner’s vocabulary, as well as by increase of recognition accuracy of machine’s speech-to-text model“ (Hromada & Kim, "Proof-of-concept of feasibility of human–machine peer learning for German noun vocabulary learning", Frontiers in Education, 2023)