Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms

9Predictive Model and Theory of Interaction

Raj Kumar Patra*, Srinivas Konda, M. Varaprasad Rao, Kavitarani Balmuri and G. Madhukar

Department of Computer Science and Engineering, CMR Technical Campus, Kandlakoya, Hyderabad, India

*Corresponding author: [e-mail]

Abstract

The fuse of essential ability structures into instructive frameworks helps recognize how ideas should be introduced to understudies to enhance understudy accomplishment. Numerous abilities have a causal relationship in which one aptitude should be introduced before another, demonstrating a solid expertise relationship. Realizing this relationship can assist with anticipating understudy execution and distinguish essential curves. Ability interactions, be that as it may, are not straightforwardly quantifiable; all things considered, the relationship can be assessed by noticing contrasts of understudy execution across aptitudes. Notwithstanding, such assessment techniques appear to do not have a benchmark model for thinking about their adequacy. On the off chance, two strategies for assessing a relationship’s presence yield two distinct qualities: the more precise outcome? In this work, we propose a strategy for contrasting models that endeavor to measure the strength of aptitude interactions. With this technique, we start to distinguish those understudy level covariates that give the most exact models foreseeing the presence of expertise interactions.

Focusing on interactions of execution across ...