Reliable prediction of individual learning performance can facilitate timely support to students and improve the experience. In this study, two well-known machine-learning techniques, that is, vector machine (SVM) artificial neural network (ANN), are hybridized by teaching–learning-based optimizer (TLBO) reliably predict student exam (fail-pass classes final scores). For defined classification ...

Ancient Eastern thought posited the ontological integration of the "mind-body world". The body-mind syncretism was a foundational precept in Eastern philosophy in which "Gih" ("Qi") was considered the basic entity of the universe and the human being. This study attempts to build a meta-theory and to demonstrate empirical designs for Gih, discussing the problems of the mind and body, or the subj...

This talk will introduce the idea that talent development is related to learning where learning is the physiological process of neuro-plastic changes in the brain. To develop talents, individuals must move from novice or beginner’s status to expertise levels of knowledge or skills in a particular domain. Learning depends on maximizing an individual’s potential through the experience...

The purpose of the present study was to identify any significant relationship between critical thinking ability, L2 vocabulary knowledge, and L2 vocabulary learning strategies of Iranian EFL learners. To this aim, the productive vocabulary levels test was administered to measure the learner’s L2 vocabulary knowledge and observe homogeneity in terms of vocabulary knowledge. At the second stage, ...

Article Evolution of randomness in optimization methods for supervised machine learning Katya Scheinberg . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 In Memoriam Jonathan Borwein Adrian Lewis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8 Roger Fletcher Sven Leyffer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....