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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 International Society of the Learning Sciences (ISLS) summarizes the field as follows: "Researchers in the interdisciplinary field of learning sciences, born during the 1990s, study learning as it happens in real-world situations and how to better facilitate learning in designed environments – in school, online, in the workplace, at home, and in informal environments. Learning sciences research may be guided by constructivist, social-constructivist, socio-cognitive, and socio-cultural theories of learning." ISLS has a large worldwide membership, is affiliated with two international journals: Journal of the Learning Sciences 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.
The Journal of the Learning Sciences was first published in 1991, with Janet Kolodner as founding editor. Yasmin Kafai and Cindy Hmelo-Silver took over as editors in 2009, followed by Iris Tabak and Joshua Radinsky in 2013. The International Journal of Computer-Supported Collaborative Learning was established as a separate journal in 2006, edited by Gerry Stahl and Friederich Hesse. Although these journals were relatively new within education research, they rapidly escalated into the upper ranks of the Educational Research section of the Social Sciences Citation Index 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.
By integrating multiple fields, learning sciences extends beyond other closely related fields. For example, learning sciences extends beyond psychology, in that it accounts for and contributes to computational, sociological and 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-based research methodology. The growing acceptance of design-based research methodology as a means for study is often viewed as a significant distinction of LS from the many fields that contribute to it. By including design-based research within its methodological toolkit, learning sciences qualifies as a "design science", sharing common characteristics with other design sciences that 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]
Educational psychology is the branch of psychology concerned with the scientific study of human learning. The study of learning processes, from both cognitive and behavioral perspectives, allows researchers to understand individual differences in intelligence, cognitive development, affect, motivation, self-regulation, and self-concept, as well as their role in learning. The field of educational psychology relies heavily on quantitative methods, including testing and measurement, to enhance educational activities related to instructional design, classroom management, and assessment, which serve to facilitate learning processes in various educational settings across the lifespan.
Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.
Instructional design (ID), also known as instructional systems design and originally known as instructional systems development (ISD), is the practice of systematically designing, developing and delivering instructional materials and experiences, both digital and physical, in a consistent and reliable fashion toward an efficient, effective, appealing, engaging and inspiring acquisition of knowledge. The process consists broadly of determining the state and needs of the learner, defining the end goal of instruction, and creating some "intervention" to assist in the transition. The outcome of this instruction may be directly observable and scientifically measured or completely hidden and assumed. There are many instructional design models, but many are based on the ADDIE model with the five phases: analysis, design, development, implementation, and evaluation.
Instructional scaffolding is the support given to a student by an instructor throughout the learning process. This support is specifically tailored to each student; this instructional approach allows students to experience student-centered learning, which tends to facilitate more efficient learning than teacher-centered learning. This learning process promotes a deeper level of learning than many other common teaching strategies.
A cognitive tutor is a particular kind of intelligent tutoring system that utilizes a cognitive model to provide feedback to students as they are working through problems. This feedback will immediately inform students of the correctness, or incorrectness, of their actions in the tutor interface; however, cognitive tutors also have the ability to provide context-sensitive hints and instruction to guide students towards reasonable next steps.
Constructivism in education is a theory that suggests that learners do not passively acquire knowledge through direct instruction. Instead, they construct their understanding through experiences and social interaction, integrating new information with their existing knowledge. This theory originates from Swiss developmental psychologist Jean Piaget's theory of cognitive development.
Robert Glaser was an American educational psychologist, who has made significant contributions to theories of learning and instruction. The key areas of his research focused on the nature of aptitudes and individual differences, the interaction of knowledge and skill in expertise, the roles of testing and technology in education, and training adapted to individual differences. Glaser has also been noted for having developed the idea of individually prescribed instruction as well as making major contributions to the theory of adaptive education.
This is an index of education articles.
Quantitative psychology is a field of scientific study that focuses on the mathematical modeling, research design and methodology, and statistical analysis of psychological processes. It includes tests and other devices for measuring cognitive abilities. Quantitative psychologists develop and analyze a wide variety of research methods, including those of psychometrics, a field concerned with the theory and technique of psychological measurement.
An intelligent tutoring system (ITS) is a computer system that imitates human tutors and aims to provide immediate and customized instruction or feedback to learners, usually without requiring intervention from a human teacher. ITSs have the common goal of enabling learning in a meaningful and effective manner by using a variety of computing technologies. There are many examples of ITSs being used in both formal education and professional settings in which they have demonstrated their capabilities and limitations. There is a close relationship between intelligent tutoring, cognitive learning theories and design; and there is ongoing research to improve the effectiveness of ITS. An ITS typically aims to replicate the demonstrated benefits of one-to-one, personalized tutoring, in contexts where students would otherwise have access to one-to-many instruction from a single teacher, or no teacher at all. ITSs are often designed with the goal of providing access to high quality education to each and every student.
Roy D. Pea is David Jacks Professor of Learning Sciences and Education at the Stanford Graduate School of Education. He has extensively published works in the field of the Learning Sciences and on learning technology design and made significant contributions since 1981 to the understanding of how people learn with technology.
Mitchell J. Nathan is an American academic, who is a Full Professor of Educational Psychology, Chair of the Learning Science program in the School of Education at the University of Wisconsin–Madison, and a researcher at the Wisconsin Center for Education Research.
The International Society of the Learning Sciences is a professional society dedicated to the interdisciplinary empirical investigation of learning as it exists in real-world settings and how learning may be facilitated both with and without technology. Learning sciences research explores the nature and conditions of learning as it occurs in educational environments, broadly construed.
E-learning theory describes the cognitive science principles of effective multimedia learning using electronic educational technology.
Allan M. Collins is an American cognitive scientist, Professor Emeritus of Learning Sciences at Northwestern University's School of Education and Social Policy. His research is recognized as having broad impact on the fields of cognitive psychology, artificial intelligence, and education.
The Institute for Research on Learning (IRL) in Palo Alto, California was co-founded by John Seely Brown, then chief research scientist at the Palo Alto Research Center, and James Greeno, Professor of Education at Stanford University, with the support of David Kearns, CEO of Xerox Corporation in 1986 through a grant from the Xerox Foundation. It operated from 1986 to 2000 as an independent cross-disciplinary think tank with a mission to study learning in all its forms and sites.
Francis Mechner is an American research psychologist best known for having developed and introduced a formal symbolic language for the codification and notation of behavioral contingencies. He has published articles about the language's applications in economics, finance, education, environment, business management, biology, clinical practice, and law. Mechner is also known for a variety of contributions to instructional technology and basic research in the field of learning.
Laboratory of Comparative Human Cognition (LCHC) is a social science laboratory located at the University of California, San Diego (UCSD) since 1978. Scholars at LCHC pursue research focused on understanding the complex relationship between cognition and culture in individual and social development. Such research requires collaboration among scholars from a variety of research disciplines, including cognitive science, education, linguistics, psychology, anthropology, and sociology. LCHC also functions as a research and training institution, arranging for pre-doctoral, doctoral, and post-doctoral training, as well as research exchanges with scholars throughout the world. In addition, LCHC sponsors a journal, Mind, Culture and Activity: An International Journal (MCA), and an open internet discussion group, XMCA.
A pedagogical agent is a concept borrowed from computer science and artificial intelligence and applied to education, usually as part of an intelligent tutoring system (ITS). It is a simulated human-like interface between the learner and the content, in an educational environment. A pedagogical agent is designed to model the type of interactions between a student and another person. Mabanza and de Wet define it as "a character enacted by a computer that interacts with the user in a socially engaging manner". A pedagogical agent can be assigned different roles in the learning environment, such as tutor or co-learner, depending on the desired purpose of the agent. "A tutor agent plays the role of a teacher, while a co-learner agent plays the role of a learning companion".
Michael J. Hannafin was professor of instructional technology and director of Learning and Performance Support Laboratory at the University of Georgia. He obtained a Ph.D. in educational technology from the Arizona State University. Along with Kyle Peck, he developed the field of computer-aided instruction as distinguished from computer-based instruction. He received the AERA SIG- IT Best Paper Award in 2007.