| ML | Machine learning |
| MMLA | Multimodal learning analytics |
| EFAR-MMLA | Evaluation framework to assess and report generalizability of ML models in MMLA |
| CL | Collaborative learning |
| CV | Cross-validation |
| CQ | Collaboration quality |
| ARG | Argumentation |
| KE | Knowledge exchange |
| CO | Cooperative orientation |
| SPST | Structuring problem-solving process and time management |
| SMU | Sustaining mutual understanding |
| ITO | Individual task orientation |
| CF | Collaboration flow |
| GP | Gaussian process |
| SVM | Support vector machine |
| RF | Random forest |
| NN | Neural network |
| RNN | Recurrent neural network |
| LSTM | Long short-term Memory |
| Ada | Ada boost |
| LR | Logistic Regression |
| DT | Decision tree |
| STD | Standard deviation |
| HP | Hyper-parameter |
| IQR | Inter-quartile range |
| CI | Confidence interval |
| NB | Naive Bayes |