Exploring the psychometric dimensions: theoretical and practical applications of artificial intelligence and gamification in education, learning, and neuropsychological assessment

In recent decades, the intersection of artificial intelligence (AI) and gamification has reshaped learning, education, and neuropsychological assessment. Tracing its roots to mid-20th-century pioneers like Alan Turing, this convergence reflects historical progress. As personal computing emerged in the late 20th century, AI principles integrated into education alongside the rising interest in gamification. Titled "Exploring Psychometric Dimensions: Theoretical and Practical Applications of Artificial Intelligence and Gamification in Education, Learning, and Neuropsychological Assessment," this dissertation aims to delve into the theoretical foundations and real-world applications of incorporating artificial intelligence and gamification in the realms of education, learning, and neuropsychological assessment with a psychometric perspective. The integration of AI and gamification goes beyond traditional pedagogical methods, promising personalized educational experiences. AI's data analysis, machine learning, and adaptive algorithms complement gamification's game design elements, engaging learners and enhancing motivation. In neuropsychological assessment, this fusion offers an innovative framework for evaluating cognitive functions with the potential for more accurate evaluations and enhanced participant engagement. Structured into five main sections, the dissertation begins with a clear introduction, outlining the two primary themes: artificial intelligence and gamification. Part I, "Theoretical Contributions," explores how AI influences human development and essential skills in education and examines gamification's knowledge and constraints. Part II, "Applications on Neuropsychological Assessment and Psychometrics", delves into the integration of AI and gamification in cognitive assessment. Part III, "Applications on Training", focuses on AI's role in training and recommender systems in learning. The dissertation concludes with a general discussion summarizing findings and suggesting future directions. Through critical examination and interdisciplinary exploration, this research contributes to understanding the transformative impact of AI and gamification on learning, education, and neuropsychological assessment practices.