Graph Signal Processing (GSP) plays a crucial role in addressing the growing need for information processing across networks, especially in tasks like supervised classification. However, the success of GSP in such tasks hinges on accurately identifying the underlying relational structures, which are often not readily available and must be inferred…

"Self-regulated learning" (SRL) significantly impacts the process and outcome of "programming problem-solving." Studies on SRL behavioural patterns of programming students based on trace data are limited in number and lack of coverage. In this study, hence, the Hidden Markov Model (HMM) was employed to probabilistically mine…

This study aims to analyze and to describe, in terms of information processing theory, the thinking processes of junior high school students as they solved problems involving direct and inverse proportions. This study design is qualitative and exploratory-descriptive in nature. 26 students in the seventh grade of SMP Negeri 1 Kota Ternate were…

To aid in the development of a globally competitive workforce, federal policymakers have expressed the priority of preparing students and adults with disabilities to succeed in science, technology, engineering, and mathematics (STEM) fields. Yet, no research has examined the extent to which information-processing, literacy, numeracy, and…

This book's aim is to improve the integration of Cognitive Information Processing (CIP) theory, research, and practice, leading to more cost-effective career interventions that help persons to make informed and careful career decisions over a lifetime. The starting point for the book's content was the 2004 Sampson, Reardon, Peterson, and Lenz…