Learning Psychology Overview

Principles

Definition

Learning psychology is the scientific discipline dedicated to investigating the fundamental psychological processes and mechanisms underlying the acquisition, retention, and application of knowledge, skills, and behavioral patterns. It employs empirical methodologies to develop theoretical frameworks and generate empirical findings that are essential for understanding and optimizing learning phenomena in various domains.

Ontological type

Core Theories

Educational Applications

Research Methods

Key developments

Key Figures

Social-Cognitive Integration era

Albert Bandura [1] emerged as a central figure in the Social-Cognitive Integration era, with significant affiliations at Stanford University [3] and Seattle University [4] during this period. His key contributions encompassed Social Learning Theory [7] and Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation [8], linking observation, modeling, and motivational processes to learning and behavior change in classroom and laboratory contexts. John Sweller [2] contributed to this era through work at The University of Adelaide [5] and UNSW Sydney [6], emphasizing the role of cognitive load in problem solving and instructional design. Cognitive Load During Problem Solving: Effects on Learning [9] crystallized cognitive load theory, arguing that managing intrinsic, extraneous, and germane load is essential for effective learning, transfer, and persistence in complex tasks.

Guided Metacognitive Regulation era

Carol S. Dweck [1] has been associated with Stanford University [3] and Columbia University [4] during this era. Mindset: the new psychology of success [6] reframes motivation around growth versus fixed mindsets and shows how beliefs about ability shape self-regulation and persistence, a foundation for guided metacognitive regulation in this era. Paul R. Pintrich [2] is associated with University of Michigan [5] during this era. A Motivational Science Perspective on the Role of Student Motivation in Learning and Teaching Contexts [7] and Multiple goals, multiple pathways: The role of goal orientation in learning and achievement [8] provided frameworks linking goals, motivation, and regulatory beliefs that underpin strategy enactment and calibration of beliefs in learning contexts.

Embodied Technology-Enhanced Learning era

Richard E. Mayer[1], affiliated with University of California, Santa Barbara[3] and the University of California System[4], stands as a central figure in the Embodied Technology-Enhanced Learning era. His key contributions in this era center on immersive science learning, as seen in cognitive and affective processes for learning science in immersive virtual reality[6], and the finding that immersive virtual reality increases liking but not learning with a science simulation while employing generative learning strategies can promote learning in immersive virtual reality[7], along with the power of imagination and perspective in learning from science text[8]. Mark R. Lepper[2], Stanford University[5], contributed a foundational taxonomy of intrinsic motivations for learning, exemplified by the paper Making Learning Fun: A Taxonomy of Intrinsic Motivations for Learning[9], which informs motivation-aware design in embodied learning. This taxonomy supports motivation-driven engagement strategies and scalable, context-sensitive evaluation of engagement and autonomous regulation across embodied, technology-enhanced learning contexts.