New Iterative Method with Inertial Technique for Split Variational Inclusion Problem to Classify TPACK Level of Pre-Service Mathematics Teachers

The study proposes new iterative algorithms employing inertial technique and self-adaptive stepsize for solving a split variational inclusion problem in a Hilbert space and providing a weak conver-gence theorem for the proposed algorithm. Finally, we present several numerical experiments to solve the problem of data classification to classify pre-service mathematics teachers' TPACK levels through self-assessment-based measures as its application.