Abstract
Learning is a complex and continuous process or phenomena. Learning processes or phenomena include the acquisition of new calculative or declarative knowledge, the development of motor and cognitive skills through instruction or practice, the organization of new knowledge into general, effective representations, and the discovery of new facts and theories through observation and experimentation. When interpreting learner responses, AI algorithm is useful for psychometrics analysis. The success of today's technology-enhanced learning may be boosted by socializing the material and learning resources to every learner, hence maximizing the learning process. Psychometric analysis entails insinuating what a learner understands and can perform in the real world based on minimal observation is supported in a state testing setting. Evaluation, from the perspective of learning analytics, comprises evaluating reports shows in digital educational experiences to evaluate learners' behaviour with the purpose of favorably affecting the learning process.
TopLudwig - Declarative Machine Learning
With Ludwig's labelling to deep learning, you have complete control over the parts of the pipelines that are important to you while letting Ludwig decide what's acceptable for the remainder.
Figure 1. Ludwig - declarative machine learning
Ludwig is used by researchers, scientists, engineers, and analysts to investigate cutting-edge model structural design, perform hyperparameter searches, measure up to data larger than accessible RAM and multi-nodule cluster, and ultimately serve the best version in operation Huang, R. H., Liu, D. J., & Tlili, A. (2019). In figure 1, Ludwig is union of Tensorflow PyTorch low-level APIs and Traditional AutoML, which is a combination of flexibility and simplicity.
Key Terms in this Chapter
PyCaret: PyCaret is a machine learning library in Python that simplifies the process of training and deploying machine learning models.
Learners: In the context of education, learners refer to students or individuals who are engaged in the process of learning new skills or knowledge.
Epochs: In machine learning, an epoch refers to a complete iteration of the training data through a neural network.
Ludwig Classifier: Ludwig Classifier is an open-source tool that enables the creation of machine learning models without requiring any specialized programming skills or knowledge.
Artificial Intelligence: Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans.
Computational Psychometrics: It is a field of study that combines psychology, statistics, and computer science to develop and apply measurement models to human behavior data.
Deep Learning: It is a subset of machine learning that utilizes neural networks to model complex patterns and relationships in data.