Learning sciences is an interdisciplinary research field that investigates how people learn by integrating theoretical and empirical insights from disciplines such as psychology, education, neuroscience, and computer science. Its primary goal is to leverage this understanding to design and improve educational experiences and environments across diverse contexts, focusing on optimizing the learning process and knowledge construction.
Ontological type
Core Theories
Research Methods
Practical Applications
Cognitive-Instructional Foundations
1938 - 1979
Sociocultural Learning Turn
1980 - 2007
Evidence-Centered Learning Design
2008 - 2024
Cognitive-Instructional Foundations era
Albert Bandura [1], with Stanford University [3] as a major base in this era, was a leading figure in the cognitive-instructional foundations. Bandura [1] proposed Social Learning Theory [5], which emphasized observational learning and modeling and highlighted how social contexts shape cognition and behavior, making it a cornerstone for understanding learning in this era. Ference Marton [2], linked to University of Gothenburg [4], contributed to the era. Marton [2] provided ON QUALITATIVE DIFFERENCES IN LEARNING: I—OUTCOME AND PROCESS* [6], articulating the deep versus surface learning distinction and underscoring the role of processing and meaning-making in learning, which informed subsequent instructional design and assessment within the era.
Sociocultural Learning Turn era
Peter M. Senge [1] is a central figure of the era, linked with the Massachusetts Institute of Technology [3] and George Washington University [4], and his The Fifth Discipline, the art and practice of the learning organization [7] helped anchor the notion of learning organizations in sociocultural practice. Its central contribution, The Fifth Discipline, the art and practice of the learning organization [7], introduced systems thinking as a framework for co-constructing knowledge and practice across organizational boundaries, thus supporting collaborative routines central to the era. Lee S. Shulman [2] stands as a pivotal figure associated with Stanford University [5] and Michigan State University [6], whose 1986 paper Those Who Understand: Knowledge Growth in Teaching [8] reframed how teachers develop expertise. Those Who Understand: Knowledge Growth in Teaching [8] has been influential in highlighting pedagogical content knowledge and reflective practice as core elements of professional learning, shaping teacher education and classroom practice in this period.
Evidence-Centered Learning Design era
Keith S. Taber [1] is associated with the University of Cambridge [3] and Purdue University West Lafayette [4] in this era. Keith S. Taber [1] contributed to instrument development and reporting in science education, as exemplified by The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education [7], a contribution that anchored rigorous measurement practices for this era. Michelle K. Smith [2] is affiliated with the University of Washington [5] and Cornell University [6] during this era. Michelle K. Smith [2] authored Active learning increases student performance in science, engineering, and mathematics [8], a study that shaped evidence-based practices for scalable learning in STEM.