Learning sciences: what are they and main examples

Learning sciences examine how people learn in real-world contexts and apply evidence-based insights to improve education, training, and workforce development.

These dynamics integrate cognitive, social, and technological perspectives that enable the design of more effective interdisciplinary learning contexts, both in classrooms and in corporate environments.

If, as an education professional, learning and development manager, human resources leader, or entrepreneur, you want to understand what learning sciences are, with specific examples for their implementation, we invite you to continue reading this article.

What are learning sciences?

Learning sciences (LS) are an evidence-based interdisciplinary field for understanding learning processes, aimed at designing, evaluating, and improving real educational environments.

In this sense, LS help explore how online and offline learning takes place in the classroom, but also in any other environment such as work, homes, museums, or digital platforms.

This set of strategies is guided by constructivist, sociocultural, sociocognitive, and learning theories, making learning an active, social, and contextually determined process.

As for the design of experiences under these criteria, although we will go into more detail later, we can tell you that key aspects of learning such as spacing, retrieval effort, and instructional design are considered.

The term “science of learning” is often used interchangeably, although LS is usually preferred to emphasize its multidisciplinary nature.

Origin and interdisciplinary nature of learning sciences

According to The International Society of the Learning Sciences (ISLS), this field of study emerged in the 1990s thanks to collaborations between different disciplines that wanted to go beyond isolated explanations of behavior.

As a result, fields of study such as cognitive science, educational psychology, anthropology, computer science, linguistics, and sociology, among others, were incorporated.

Unlike traditional educational psychology, which has focused on formal classroom theories, or instructional design, which focuses on creating effective teaching, learning sciences integrate research and design in authentic contexts.

Why do learning sciences matter?

The importance of learning sciences lies in their rigor, interdisciplinarity, and the backing of thousands of studies on how human learning really works.

As a result, they have become a key field for addressing some of the most important challenges in the education system and the labor market, such as persistent gaps in academic performance. This particular problem tends to affect low-income students, ethnic minorities, and marginalized communities in particular.

By applying principles and strategies to real-world problems, LS offers evidence-based frameworks for understanding how social, cognitive, and contextual factors impact learning, school retention, and long-term academic success.

Specifically, in the field of education, learning sciences provide the scientific basis for evidence-based teaching, helping to:

• Design effective, outcome-focused teaching experiences.
• Improve practices and tools that promote deep, lasting, and transferable learning.
• Close equity gaps in the classroom and beyond.
• Design artificial intelligence educational tools.

They also play an important role in the US business sector, which faces a critical need for reskilling and upskilling of teams.

Innovation, learning science, and training programs

Innovation in fields such as artificial intelligence, process automation, and digital technologies requires new skills.

By implementing LS in corporate training, you will be able to design more effective training programs to respond to these new needs, without losing focus on organizational objectives.

Their success lies precisely in their applied design, as they study the cognitive and social processes of learning, but also how they interact with technology, educational data, and cultural contexts to improve teaching.

The result is higher-quality, more equitable, and sustainable learning for all learning styles and contexts. In other words, from assets-based approaches to critical pedagogy, the goal is to design more equitable and inclusive educational systems.

What are the learning sciences? Main examples

The main learning sciences include disciplines that function as an educational and practical ecosystem, such as those discussed below.

Cognitive science

This discipline focuses on the study of the mental processes involved in learning, such as memory, attention, problem-solving, and reasoning. In other words, it studies how people acquire, process, and retain information.

Thanks to this dynamic, it has been shown that retrieval practice or spaced repetition are effective in retaining information acquired through study in the long term.

Educational psychology

It studies how psychological factors such as motivation and socioemotional development affect learning. It also focuses on topics such as intrinsic and extrinsic motivation and individual differences in learning.

Through their field of action, education specialists can understand why some students thrive and others do not in similar educational contexts.

Cognitive neuroscience of learning

Studies the brain and neurological mechanisms related to learning and memory using neuroimaging technologies that provide a better understanding of how the brain processes new information and forms neural connections.

This discipline has discovered, for example, that quality sleep and temporal spacing improve memory consolidation.

Learning design and instructional design

Here we enter into techniques that help to create effective learning experiences systematically, integrating the principles of learning sciences with user-centered design.

These types of disciplines help to design coherent curricula aligned with learning objectives, as well as pedagogical activities and instructional materials focused on maximizing learning outcomes.

Learning analytics

Learning analytics seek to understand and optimize learning based on grades, interaction patterns, progression through content, among other observable and measurable parameters, both from completed processes and in real time.

The great advantage of data-informed instruction is that it allows educators to make informed and objective decisions based on evidence.

Educational technology

With the emergence of ICTs in the classroom, progress has been made in exploring which technological tools really facilitate learning.

Its field of action is very broad, covering digital learning environments, online learning, hybrid learning, AI-driven learning, and XR in education, which includes virtual and augmented reality.

Universities such as the University of Pennsylvania offer specialized programs so that professionals can design and implement technological solutions such as Big Data or data mining in their educational strategies.

Sociology of education

While we have previously discussed the importance of emotional factors, the sociology of education takes social, cultural, economic, and political factors into consideration.

For example, this discipline examines issues of equity in education, diversity, and inclusion, but also the power structures that determine educational opportunities.

Emerging areas in the learning sciences

Beyond the seven core disciplines we have just discussed, there are other areas in the learning sciences:

• Design-based research. Develops and adjusts educational interventions through cycles of design, implementation, and analysis in real learning contexts.
• Embodied learning. Establishes that cognition is not only mental, but is linked to bodily and sensorimotor experiences.
• Situated learning. Promotes that meaningful knowledge is constructed when it occurs in contexts that are authentic and relevant to society.
• Makerspace learning. This is a strategy that promotes learning through creation, experimentation, and hands-on manufacturing in collaborative spaces equipped with various technological tools.
• Place-conscious learning. This connects learning to the cultural, historical, and geographical characteristics of students in order to appropriately adapt learning paths and improve outcomes.

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Examples of learning sciences in US classrooms

Let’s look at some examples of learning sciences that are commonly implemented in US classrooms.

They will help you realize how versatile these strategies are and how they can help you boost your educational programs.

Retrieval practice

Retrieval practice consists of encouraging students to retrieve information from their memory, rather than rereading notes, to strengthen long-term learning.

A study conducted by Shana Carpenter, Steven C. Pan, and Andrew C. Butler showed that this practice improves knowledge retention across different domains, such as foreign language vocabulary or mathematical or scientific concepts.

Spaced practice

Spaced practice involves strategically distributing study time over a period leading up to an exam, rather than opting for intensive sessions.

The goal is to consolidate knowledge before it is forgotten by integrating strategies such as spaced retrieval, the 2357 method, or the Leitner repetition system.

Formative assessment

One of the key advantages of formative assessment is that it occurs during the learning process, providing constructive and relevant feedback.

Another advantage is that it can take many forms (exit tickets, direct observation, discussions) which, when combined, turn assessment into a tool for optimizing learning.

Collaborative learning

Collaborative learning involves students working together to achieve common goals.

The key lies in structuring the process properly, that is, with clear roles from the outset, establishing positive interdependence, and encouraging individual responsibility.

Adaptive learning platforms

Adaptive learning platforms use algorithms to personalize the sequence and degree of difficulty of the content based on each student’s individual performance.

In order to successfully adapt learning, learning analytics, a series of metrics that identify knowledge gaps and adjust instruction in real time, are very important.

These types of solutions are very important for designing truly personalized learning paths.

Learning sciences in corporate and workplace learning

Learning sciences can also be implemented in the business ecosystem with some of these resources:

• Microlearning. This offers short learning modules, lasting around 5 or 10 minutes, which are ideal for employees to learn in their spare time.
• Blended learning. This is a hybrid approach to asynchronous learning with synchronous virtual or face-to-face sessions. The flexibility it provides increases people’s motivation to study, as well as promoting social interaction and real-time feedback.
• Personalized learning paths. Thanks to the collection of data on employees (such as previous experience, career goals, data on the performance of their duties, etc.), personalized learning paths are created. This helps to improve engagement with training, but also with the company, because people feel that they are being taken into account.
• Learning analytics for continuous improvement. These are indicators of training and assessments, such as completion rates, time spent, or subsequent job performance, to continuously improve training programs.
• Simulations and performance support tools. Simulation programs allow employees to practice and develop skills in controlled and safe environments before applying them in real-life situations.

These are just a few examples of the resources you can integrate into a company. Consider how important it is that technology corporations such as Google and Microsoft have invested significant resources in internal teams of learning scientists.

These profiles help develop onboarding, leadership development, and technical training solutions that use data-informed instruction to measure results and adjust program design.

The future of learning sciences: technology-enhanced learning examples

One of the biggest transformations in education has been driven by learning sciences applied to educational technologies.

Take a look at the four results of this synergy described below, which can be applied to both the educational and business ecosystems.

AI-driven learning tools

AI-driven learning tools are systems that incorporate artificial intelligence to optimize the student experience and improve results.

An example of this is smart tutoring, which, thanks to AI, can provide personalized feedback, adapt the difficulty of content in real time, or clarify concepts.

The big challenge in these cases is to have professional solutions that allow you to detect and avoid algorithmic biases in order to offer equitable, inclusive, and respectful learning.

Extended reality in education (XR)

Virtual reality (VR), augmented reality (AR), and mixed reality (MR) facilitate immersive learning experiences that mimic real-world contexts.

Medical students can improve their skills before performing surgery on a real patient, or engineers can work on virtual prototypes to detect faults and improve results before investing resources in real products.

Likewise, other disciplines such as history or anthropology can offer immersive itineraries that involve multiple senses and body movement to enhance understanding of eras, concepts, and relationships.

Learning experience platforms (LXP)

LXP are platforms that offer multiple sources of content, such as online courses, videos, podcasts, articles, and studies, and also use algorithms to recommend personalized resources to individuals.

They work similarly to streaming platforms for series and movies, which recommend content based on user preferences.

We can see LXP as a twist on traditional Learning Management Systems (LMS), as they encourage self-directed learning. It is also important to note that many LMS already integrate LXP features.

Digital literacy programs

Digital literacies programs are essential with the proliferation of generative AI tools because they focus on their ethical and effective use.

From a learning sciences perspective, these programs must go beyond instrumental mastery to cultivate metacognition about how AI transforms learning processes.

The aim is for students to become critical users who know how to use these technologies as cognitive scaffolding.

Learning sciences vs. traditional approaches

To make this comparison, we will focus on the differences between learning sciences and traditional approaches such as educational psychology and instructional design.

LS vs. educational psychology

Although learning sciences and educational psychology focus on motivation, cognitive development, and the importance of individual differences among students, their approaches and scope are different.

Traditional educational psychology seeks to apply these principles to school contexts, improving the teaching-learning process in an educational setting.

Learning sciences, on the other hand, offer a much broader and more interdisciplinary view, studying learning in real and diverse contexts.

LS vs. instructional design

Something similar happens with instructional design as with educational psychology when compared to learning sciences.

Instructional design creates learning materials and experiences following structured models such as ADDIE (Analyze, Design, Develop, Implement, Evaluate) and SAM (Successive Approximation Model) to transform educational objectives into effective courses, modules, and resources.

LS seeks to understand how and why people learn, generating evidence-based theories and testing innovations in real environments.

However, learning experience design is the result of the synergy between both dynamics, as it combines research with a user-centered approach.

In this way, this discipline helps to create educational experiences that combine knowledge acquisition with motivation, engagement, and sociocultural context.

Core principles from learning sciences research

At this point, it would be natural to ask what makes learning sciences a unique strategy. To answer this question, we will discuss four of its fundamental principles:

• Interdisciplinarity is a fundamental condition of learning science. This field cannot be understood without dialogue between social, medical, scientific, and technological disciplines.
• Research must be conducted in real contexts. The study focuses on learning that takes place in schools, but also in homes, workplaces, communities, cultural centers, etc.
• The research-practice cycle must be continuous. It is essential to connect academic research with practical implementation, iterating designs based on data from real contexts.
• The cross-cutting approach must be one of equity. LS pays special attention to issues of justice, power, and equity in educational processes, focusing on eliminating systemic barriers.

On this last point, proctoring solutions designed with principles of accessibility, privacy, and bias reduction, such as the proctoring plans proposed by Smowltech, can contribute to fairer and more inclusive assessments in digital environments.

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What is a learning sciences degree?

A learning sciences degree prepares professionals and researchers to understand, design, and transform learning experiences in diverse educational contexts.

While it is true that plans are subject to the strategies and objectives of each institution, the curriculum is usually structured around the following areas:

• Learning theory and learning processes. A theoretical approach to the learning process from constructivist, sociocultural, and cognitive perspectives, as well as the analysis and measurement of outcomes.
• Research methods and design-based research. This deals with the methods that can be used to research learning, with a special emphasis on design-based research.
• Learning and educational technologies. This focuses on the design and evaluation of digital learning environments, adaptive platforms, AI- and XR-based tools, etc.
• Learning analytics and assessment. Enhances the understanding and improvement of learning strategies through data analysis using summative and formative assessments.
• Equity and culturally responsive education. Research into how factors such as race, class, gender, language, and other identity dimensions condition or affect learning opportunities. Perspectives such as critical pedagogy and culturally responsive teaching are often introduced.
• Design of learning environments. Proposes the creation of formal, informal, and digital learning environments to improve learning in all types of spaces, from classrooms to museums, online spaces, or any other context.

Another aspect to consider if you are looking for specific training is that many programs offer specializations in other areas such as learning design, learning analytics, educational technology, or critical pedagogy, among others.

Resources for further research on learning sciences

These resources will help you learn more about the impact of LS on students and society in general:

• The International Society of the Learning Sciences (ISLS). Professional organization that offers all kinds of specialized content and annual conferences.
• Journal of the Learning Sciences. Academic journal of the ISLS that publishes rigorous scientific research with a focus on evidence-based instructional design.
• Teaching + Learning Lab. Platform that provides resources and workshops on evidence-based pedagogy, especially useful in STEM education.