Learning sciences

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Learning sciences (LS) is the critical theoretical understanding of learning,^[1] engagement in the design and implementation of learning innovations, and the improvement of instructional methodologies. LS research traditionally focuses on cognitive-psychological, social-psychological, cultural-psychological and critical theoretical foundations of human learning, as well as practical design of learning environments. Major contributing fields include cognitive science, computer science, educational psychology, anthropology, and applied linguistics. Over the past decade, LS researchers have expanded their focus to include informal learning environments, instructional methods, policy innovations, and the design of curricula.

As an emerging discipline, LS is still in the process of defining itself. Accordingly, the field's identity is multifaceted and varies between institutions. However, the

and International Journal of Computer Supported Collaborative Learning, and has previously sponsored the biennial Computer Supported Collaborative Learning conference and International Conference of the Learning Sciences on alternate years. Since 2020, these two conferences have been combined as a unified ISLS Annual Meeting with one track for each conference.

Although controlled experimental studies and rigorous qualitative research have long been employed in learning sciences, LS researchers often use design-based research methods. Interventions are conceptualized and implemented in natural settings to test the ecological validity of dominant theory, as well as to develop new theories and frameworks for conceptualizing learning, instruction, design processes, and educational reform. LS research strives to generate principles of practice beyond the particular features of an educational innovation to solve real educational problems, giving LS its interventionist character.

Several significant events contributed to the international development of learning sciences. Perhaps the earliest history can be traced back to the cognitive revolution.^[2]

In 1983 in the United States, Jan Hawkins and Roy Pea proposed a collaboration between Bank Street College and The New School for Social Research to create a graduate program in learning sciences.^[3] The program, known as "Psychology, Education, and Technology" (PET), was supported through a planning grant from the Alfred P. Sloan Foundation. However, the program was never established due to the requirement of hiring new faculty.

In 1988, Roger Schank's arrival at Northwestern University contributed to the development of the Institute for Learning Sciences.^[3] In 1991, Northwestern initiated the first LS doctoral program, designed and launched by Pea as its first director. The program accepted their first student cohort in 1992. Following Pea's new position as dean, Brian Reiser assumed the role of program directorship. Since then, many LS graduate programs have appeared globally, and the field continues to gain recognition as an innovative and influential field for education research and design.

impact factor rankings.

In August 1991, the Institute for the Learning Sciences hosted its first International Conference for the Learning Sciences (ICLS) at Northwestern University (edited by Lawrence Birnbaum and published by the AACE, but no longer available). In 1994, ICLS hosted the first biennial meeting, which also took place at Northwestern. The International Society of the Learning Sciences was later established in 2002 by Janet Kolodner, Tim Koschmann, and Chris Hoadley.

Distinguishing characteristics

By integrating multiple fields, learning sciences extends beyond other closely related fields. For example, learning sciences extends beyond

anthropological approaches to the study of learning. Similarly, LS draws inspiration from cognitive science, and is regarded as a branch of cognitive science; however, it gives particular attention to improving education through the study, modification, and creation of new technologies and learning environments, and various interacting and emergent

factors that potentially influence human learning.

Many LS researchers employ

design science methodology such as engineering and computer science. Learning sciences is also considered by some as having some degree of overlap with instructional design, although the two communities developed in different ways, at times emphasizing different programs of research. These differences are described in greater detail in a 2004 special issue of Educational Technology.^[4]

Design-based research is by no means the only research methodology used in the field. Additional methodologies include computational modeling, experimental and quasi-experimental research, and non-interventionist

ethnographic-style qualitative research methodologies.^[5]

See also

• Artificial intelligence – Intelligence of machines
• Cognitive psychology – Subdiscipline of psychology
• Cognitive science – Interdisciplinary scientific study of cognitive processes
• Computer-supported collaborative learning – Pedagogical approach
• Education sciences
• Educational psychology – Branch of psychology concerned with the scientific study of human learning
• Educational technology – Use of technology in education to improve learning and teaching
• Evidence-based education – Paradigm of the education field
• Malleability of intelligence – Processes by which intelligence can change over time
• Pedagogy

References

1. ^ Esmonde, Indigo, and Angela N. Booker. Power and privilege in the learning sciences. New York, NY: Routledge, 2017.
2. ^ https://www.cell.com/AJHG/fulltext/S1364-6613(03)00029-9
3. ^ ^{a b} Pea, R. (2016). The prehistory of the learning sciences. In Evans, M. A., Packer, M. P. (Eds.) Reflections on the learning sciences (pp. 32-58). New York: Cambridge University Press.
4. ^ *Carr-Chellman, A. & Hoadley, C. (Eds.) Learning sciences and instructional systems: Beginning the dialogue [Special issue]. (2004). Educational Technology, 44(3).
5. ISSN 1050-8406
   .

• Anderson, J. R., Reder, L. M., & Simon, H. A. (1996). Situated learning and education. Educational Researcher, 25(4), 5-11.
• Brown, A. L. (1992). Design experiments: Theoretical and methodological challenges in creating complex interventions in classroom settings. The Journal of the Learning Sciences, 2(2), 141-178
• Evans, M. A., Packer, M. J., & Sawyer, R. K. (Eds.) (2016). Reflections on the learning sciences: Past, present, and future. New York: Cambridge University Press.
• Fischer, F., Hmelo-Silver, C. E., Goldman, S. R., & Reimann, P. (Eds.)(2018). International handbook of the learning sciences. New York: Routledge.
• Greeno, J. G. (2006). Learning in activity. In R. K. Sawyer (ed.) The Cambridge handbook of the Learning Sciences (first edition) (pp. 79–96), Cambridge, MA: Cambridge University Press.
• Greeno, J. G., Collins, A. M., & Resnick, L. (1996). Cognition and learning. In D. Berliner and R. Calfee (Eds.) Handbook of Educational Psychology, (pp. 15–46). New York: MacMillan.
• Lave, J. (1996). The practice of learning: The problem with "context." In S. Chaiklin & J. Lave (Eds.) Understanding practice: Perspectives on activity and context (pp. 3–32). Boston, MA: Cambridge University Press.
• Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. New York: Cambridge University Press.
• Sawyer, R. K. (2006). The Cambridge handbook of the learning sciences (first edition). New York: Cambridge University Press.
• Sawyer, R. K. (2014). The Cambridge handbook of the learning sciences (second edition). New York: Cambridge University Press.
• Sawyer, R. K. (2022). The Cambridge handbook of the learning sciences (third edition). New York: Cambridge University Press.
• Sfard, A. (1998). On two metaphors for learning and the dangers of choosing just one. Educational Researcher, 27(2), 4-13.
• Stahl, G., Koschmann, T., Suthers, D. (2006). Computer-supported collaborative learning: An historical perspective. In R. K. Sawyer (ed.) The Cambridge Handbook of the Learning Sciences (first edition) (pp. 79–96), New York: Cambridge University Press.