A learning analytics student model discriminates between trained and untrained students in VR lineworker training maneuvers¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2023: tool and model accuracy changes quickly

Subclaims¶

q2 i? A student model built with several classifiers discriminates between trained and untrained students in different maneuvers using three minimum evaluation proficiency scores. → Santamaría Bonfil 2020

Evidence¶

Santamaría Bonfil 2020¶

Santamaría Bonfil, G., Ibáñez Espiga, M. B., Pérez Ramírez, M., Arroyo Figueroa, G., & Martínez Álvarez, F. (2020). Learning analytics for student modeling in virtual reality training systems: Lineworkers case. Computers & Education, 151. https://doi.org/10.1016/j.compedu.2020.103871

q2 · i? · associational · r1

The abstract reports that a student model built from trace data of 1399 students in 329 VRTS courses can "discriminate between trained and untrained students", with Random Forest standing out among several classifiers tested.

"The results show that the model can discriminate between trained and untrained students, the Random Forest algorithm standing out."

Discussion¶

Related Claims¶

• Random Forest is the best classifier for discriminating trained from untrained VR trainees — possibly the same claim (merge candidate)
• Profile and course variables, along with specific maneuver steps, are the most relevant features for trainees' final performance — a narrower finding that bears on this claim
• Error patterns in VR trace data associated with misconceptions and confusion are identified via visualization with human expert aid — related
• Random forest algorithms yielded the best classification performance in K–8 MMLA studies comparing multiple machine learning models — related
• Microanastomosis training models discriminated competence levels: untrained groups scored significantly lower than trained groups on the NOMAT tool — related