Prediction of academic success through interaction with version control systems.
Ángel Manuel Guerrero HiguerasLidia Sánchez-GonzálezCamino Fernández LlamasMiguel Ángel CondeFrancisco J. Rodríguez LeraFrancisco Jesús Rodríguez-SedanoGonzalo Esteban-CostalesVicente MatellánPublished in: TEEM (2019)
Keyphrases
- control system
- prediction accuracy
- real time
- prediction model
- prediction error
- prediction algorithm
- neural network
- case study
- human computer interaction
- human interaction
- computer vision
- information technology
- machine learning
- user interaction
- closed loop
- database
- user satisfaction
- human robot interaction
- multi touch
- success factors