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Learning Theory

At the completion of this section, you should be able to:

Begin by viewing the class presentation in Vimeo. Then, read each of the sections of this page.

Explore each of the following topics on this page:

The Big Picture

An understanding of students and how they learn is essential in developing instruction. This involves an understanding of psychology and learning theory. In addition, instructional developers need to understand the difference between novice and expert learners and how students mature as information users.

brainLearning is the process of acquiring new knowledge, skills, attitudes, and values. Intellectual processes are used to help individuals store and access information.

The roots of learning theory originate in the field of psychology. During the 19th century psychology emerged as a science. Three movements have shaped current thinking about how people learn: behaviorism, cognitive, and constructionist.

Behaviorism

Rooted in psychology, behaviorist theory focuses on objective observation of human behavior. Tasks are analyzed and procedures are developed to teach sub-tasks. Feedback and reinforcement is provided to assist in learning and motivation. Tests check for mastery at each stage. Students generally work independently. Many of the early studies were conducted in laboratories with careful controls.

In teaching, instructional designers create a series of short lessons based on specific tasks such as use of Boolean commands or creation of citations. Students are presented with information and given opportunities for hands-on practice. Praise is given for correct answers and useful feedback is provided for incorrect responses. Students work their way through exercises until they achieve mastery.

The roots of behaviorism began in the 19th century with people like Edward Thorndike.

Ivan PavlovIvan Pavlov (shown left) is known for his theory of classical conditioning that he studied in dogs.

John B. Watson was a psychologist who focused on animal behavior and child studies coining the term "behaviorism" around 1913.

B.F. Skinner (below left) was a psychologist active in the 1960s and early 1970s who is known for inventing the philosophy of radical behaviorism. He believed that behaviors are causal factors influenced by consequences. Behaviors are strengthened by positive reinforcement. Negative reinforcement strengthens behavior by removal of some adverse event. Reinforcement increases behavior.

Skinner advocated the use of teaching machines to administer programmed instruction. Many of his ideas about reinforcement are incorporated into instructional software today where tasks are broken into small, manageable pieces. He advocated active learning in that he expected students to perform rather than passively watch a teacher. However the teacher is ultimately in control in a behaviorist classroom evaluating learners and prescribing instruction. Skinner introduced the Skinner Teaching Machine (see below center). His ideas are still used in computer-based tutorials today.

SkinnerBF Skinner teaching machinecomputer lab

Cognitive

The area of cognitive psychology emerged in the 1950s in response to behaviorism. Cognitivists argued that the way people think impacts behavior. They stress that humans generate knowledge and meaning through the sequential development of abilities. Learners need scaffolding to develop schema.

In teaching, instructional designers stress motivation and active learning in problem solving. Lessons should be designed around conceptual frameworks such as research process models. Organize materials into meaningful chunks. Provide learners with thinking tools such as advanced organizers (Davis Ausubel), concept mapping (Joseph Novak) mnemonics, and note-taking guides. Involve students in reflection and other metacognitive activities that involve students in monitoring and directing their own learning.

Mnemonics are used to remember whether the moon is beginning or descending.

moon

Jean Piaget was a developmental psychologist known for his work with children. Through observation of children, he identified different stages of intellectual development in children. In learning, he stressed the importance of maturation.

Albert Bandura is a psychologist known for making the transition from behaviorism to cognitive psychology. He is responsible for social learning theory which states that people learn within a social context. He proposed that observational learning occurs through watching live models, verbal instruction, and symbolic modeling through media such as video. People react to the environment and interactions with people.

Jerome Bruner is a psychologist is known for his work in developmental psychology. He coined the term scaffolding to describe how learners build on existing knowledge. He believed that students could learn any materials that was organized appropriately.

Edgar Dale was an educator who is known for his Cone of Experience. Introduced in 1946, the Cone of Experience is a visual device that classifies types of mediated learning experiences into ten categories: direct, purposeful experiences, contrived experiences, dramatic participation, demonstrations, field trips, exhibits, motion pictures, radio/recordings/still pictures, visual symbols, and verbal symbols. The cone moves from concrete experiences at the bottom to abstract representations at the top of the cone.

cone

Constructivism

groupConstructivism is a learning theory focusing on the way people create meaning through a series of individual constructs or experiences. It places emphasis on providing a learning environment where students can explore, test, and acquire new knowledge on their own. Each person creates their own mental models to deal with new information and experiences.

Constructivism involves the process of questioning, exploring, and reflecting. This theory says that learners should construct their own understanding and knowledge of the world through varied experiences. By reflecting on these experiences, students assimilate useful information and create personal knowledge.

According to Barbara Stripling in Curriculum Connections through the Library (2003, p. 4), in a constructivist learning environment "students are expected to ask questions and seek new understandings; teachers are expected to change their roles from providers of information to provokers and guides of student learning".

Social constructivism stresses the importance of the dynamic interaction between the learner, teacher, and the task. It also stresses collaboration among learners.

science classIn teaching, instructional designers provide authentic, meaningful tasks that allow students to explore and analyze information. By providing varied examples, real-world information, and alternative perspectives, students are able to join new information with prior knowledge to build new connections.

For instance, Benjes-Small and others (2013) applied constructivist principles to develop a series of web evaluation lessons that involved students in creating and applying their own evaluation criteria.

Students are encouraged to participate in social interactions, discussions, and information exchanges. Through collaboration, students are able to solve problems under the guidance of a facilitator. Synergy is created when students, classmates, and teacher work together.

Many active teaching and learning techniques reflect the constructivist approach. These include problem-based learning, real-world simulations, case study approaches, and scientific experiments. Metacognition, or thinking about thinking is an important activity in the constructivist classroom. Students are encouraged to constantly raise questions and explore ideas.

Callison (2006, 334-336) identified key characteristics of a constructivist approach to learning:

John Dewey (shown below left) was a psychologist and educational reformer who argued that learning is an interactive and social process. He believed that students thrive in environments where they are active learners. Experiential learning involves students in exploring, thinking, and reflecting through real-world experiences.

Lev Vgotsky was a psychologist who described a Zone of Proximal Development (ZPD). He theorized that a low level of skill can be reached by a child working independently. A high level of skill is possible when working with a skilled instructor. In other words, a child can reach beyond their maturational level with assistance from others.

Maria Montessori (shown below right) advocated learning environments where students are independent learners who learning through discovering concepts rather than direct instruction.

deweymaria

try itTry It!

Complete Constructivism as a Paradigm for Teaching and Learning the free, online workshop from Educational Broadcasting Corporation.

readRead!
Read Riehle, Catherine Fraser (2012). Inciting curiosity and creating meaning: teaching information evaluation through the lens of ‘bad science’. Public Services Quarterly, 8, 227-234.

Learning Theories

Our student population is diverse. It's important to design a learning environment to meet the individual differences of inquiring minds. What motivates one student might bore another. What is meaningful in one context, might be misunderstood in another. By understanding student thinking processes, intelligences, and learning styles, teachers can develop individual paths of learning.

studentstudentstudent

Learning styles and theories help instructional designers and educators understand the processes students use to gather, evaluate, and use information.

Claxton and Murrell (1987) described four categories:

Many theories associated with intelligence, learning styles, and related topics have been developed over the past couple decades.

Brain-based Learning

brainbasedBrain-based learning is based on the structure and function of the brain. Theories stress that learning occurs through the active processing of information.

In teaching, students are placed in immersive, real-world experiences that involve complex challenges. Students are given access to both the "big picture" and details needed to solve problems. Feedback comes from the results of authentic situations.

Brain-based learning has been called a combination of brain science and common sense. Hart (1983) called the brain "the organ of learning." He advocated learning more about the brain in order to design effective learning environments.

Caine and Caine (1991) developed twelve principles that apply what we know about the function of the brain to teaching and learning. These principles were derived from an exploration of many disciplines and are viewed as a framework for thinking about teaching methodology. Read Caine and Caine's (1994) Mind/Brain Learning Principles for the principles with brief descriptions. The principles are:

  1. The brain is a complex adaptive system.
  2. The brain is a social brain.
  3. The search for meaning is innate.
  4. The search for meaning occurs through patterning.
  5. Emotions are critical to patterning.
  6. Every brain simultaneously perceives and creates parts and wholes.
  7. Learning involves both focused attention and peripheral attention.
  8. Learning always involves conscious and unconscious processes.
  9. We have at least two ways of organizing memory.
  10. Learning is developmental.
  11. Complex learning is enhanced by challenge and inhibited by threat.
  12. Every brain is uniquely organized.

For complex learning to occur, Caine and Caine have identified three conditions:

  1. Relaxed alertness - a low threat, high challenge state of mind
  2. Orchestrated immersion - an multiple, complex, authentic experience
  3. Active processing - making meaning through experience processing

The nine brain-compatible elements identified in the ITI (Integrated Thematic Instruction) model designed by Susan Kovalik include: Absence of Threat, Meaningful Content, Choices, Movement to Enhance Learning, Enriched Environment, Adequate Time, Collaboration, Immediate Feedback, and Mastery (application level).

Cognitive Load Theory

John Sweller (1988) described the importance of understanding human cognitive architecture. His theory involves three types of memory that are interrelated and important for long-term memory.

Cognitive Theory of Multimedia Learning

The Cognitive Theory of Multimedia Learning focuses on how people store multimedia information.

Richard Mayer notes that humans can only process finite amounts of information in a channel (i.e., visual, auditory) as they create mental representations. Three memory stores including sensory (receives and stores information for a very short time), working (actively processes information to create schema) and long-term (permanent storage of information) are important in learning.

The model is based on three assumptions:

Mayer's research into multimedia culminated in a number of principles:

Think about how the image below fits into the principles above.

neuron LadyofHats wikimedia comons

Component Display Theory

David Merrill classified learning in two dimensions:

Merrill suggests that learning is more effective if all three levels of performance are present. Merrill's theory identified primary and secondary presentation forms:

Experiential Learning

David Kolb developed a four-stage cycle of learning to show how experience is translated into concept formation.

As a result of observing this learning cycle, Kolb identified four learning styles corresponding to these stages:

 

Gender Theory

In biology, gender refers to the sexual distinction between males and females. However in social sciences and specifically education, the term gender also focuses on the social, cultural, and psychological distinctions between boys and girls.

Over the past several decades, gender research has increased our understanding of the differences and similarities between the genders. Tilley and Callison (2006, 384) in their exploration of research on gender differences related to information inquiry found:

Habits of Mind

The idea of "habits of mind" matches perfectly with information fluency. According to Horace Mann, habit is a cable; we weave a thread of it each day, and at last we cannot break it. Theodore Sizer (1964) defines “habits of mind” as the willingness to use one’s mind well when no one is looking. We must develop habits of mind in our PK-12 students to provide a foundation for thoughtful inquiry. According to Lauren Resnick “the sum of one’s intelligence is the sum of the one’s habits of mind” (Habits of Mind, 2003).

In their series “Habits of Mind: A Developmental Series” Costa and Kallick (2000) define and describe 16 types of intelligent behavior that promote thoughtful learning communities. Focusing on dispositions that help people know how to behave intelligently when they don’t know an answer, their “habits of mind” approach focuses on performance under challenging condition. The guiding principles of this model can help teachers deal with data and develop strategies for making data-driven decisions.

The ideas behind the development of “habits of mind” can be found across content areas. For example, the science “habits of mind” focus on essential thinking skills serve as tools for formal and informal learning in science (Georgia Framework for Learning Mathematics and Science 2000). This idea is also prevalent in the mathematics literature. In Habits of Mind: An Organizing Principle for Mathematics Curriculum (Cuoco, et al, 1995), the importance of developing thinking strategies is emphasized. They stress that the thought processes used by mathematicians are mirrored in systems that influence every aspect of our daily lives. They state that “if we really want to empower our students for life after school, we need to prepare them to be able to use, understand, control, and modify a class of technology.” They stress the development of ways of thinking and mental habits. In Math, Science, Technology & Habits of Mind, Vuko (1998) stresses that developing ‘habits of mind’ involves dispelling past fears and changing old attitudes.

To see how this approach can be applied to teaching, go to NoodleTools - Habits of Mind. Explore the Racial Privacy example.

Intelligence and Learning

Human intelligence is associated with mental capabilities including the ability to think abstractly, reason, plan, and comprehend complex ideas. Each individual differs in their ability to think and understand.

Alfred Binet invented the first popular intelligence test in the early 1900s. The test was ultimately known as the Standford-Binet Intelligence Scale.

Over the decades, concerns have been raised about reliance on test scores. Issues include gender, cultural, racial, and class bias.

multiple intellgienceHoward Gardner concluded that individuals exhibit multiple intelligences rather than just one. He found that across school and workplace learning environments, an understanding of individual differences in intelligence can be helpful in designing effective instruction. His work began in the 1980s and continues today.

In his 1983 book called Frames of MindHoward Gardner of Harvard University identified seven intelligences we all possess. Because our understanding of the brain and human behavior is constantly changing, the number of intelligences is expanding. Two to three new intelligences have been added recently. Gardner stresses that we all have all the intelligences, but that no two people are exactly alike.

Originally, Gardner developed the multiple intelligences theoretical model about the psychology of the mind, rather than a practical way to address individual differences. However, by understanding a student's strengths and weaknesses in each intelligence, we can help learners become more successful. He also notes that integrating multiple intelligences into the classroom involves changing our idea about teaching and learning. It requires addressing individual differences and providing a range of activities and experiences to facilitate learning.

Let's explore an example of integrating these intelligences into your thinking about distance learning.

Verbal/Linguistic. Ask yourself: How can spoken or written word be used? The Digital Collection at the University of Washington is filled with interesting essays on Native American culture. These text-based resources might be of interest to students who are verbal/linguistic.

Logical/Mathematical. Ask yourself: How can numbers, calculation, reasoning, logic, classification, or problem solving be incorporated? Consider the Daily Math website that explores how math is used in daily life.

Visual/Spatial. Ask yourself: How can visual elements such as pictures, graphics, art, color, metaphor, maps, or visual organizers be integrated? If you're studying a historical time period, consider using photographs to generate discussion and understanding. Check out the Hooverville and Suffrage photos from the Library of Congress American Memories collection. If you're working with math, use visuals to show the concept. Consider assignments that use visual tools such as using Inspiration for animal classification.

Musical/Rhythmic. Ask yourself: How can sounds and music including tone, timbre, rhythm, or melody be used? Popular Songs in American History is a website where students can explore lyrics and listen to music from history. The Cool Math site combines music and math.

Bodily/Kinesthetic. Ask yourself: How can movement and hands-on experiences be incorporated? Consider hands-on activities across the curriculum. Check out a genetics activity that involves body characteristics and movement.

Intrapersonal. Ask yourself: How can personal feelings, thoughts, and reflections be used? Consider activities that ask students to reflect on their work using tools such as notestar. Get other journaling ideas from the 42explore on the topic of journaling.

Interpersonal. Ask yourself: How can sharing, cooperation, teaming, and collaboration be used? Look for projects with multiple perspectives that might be ripe for discussions and debates such as the topic of cloning. Check out a website containing student-produced projects.

Naturalist. Ask yourself: How can environmental elements be brought into the activity? Try a geocaching activity. Learn about how you can do geocaching with kids across content areas.

Existentialist. Ask yourself: How can "the big picture" be integrated? Get students involved with looking at big ideas and questions.

Learn more about Technology and Multiple Intelligences at Teacher Tap.

Daniel Goleman theorized that emotional intelligence should also be considered when designing learning experiences. The addition of intelligences was popularized during the 1990s.

Theories of multiple intelligences are applicable to those designing instruction related to information literacy. These skills require locating, retrieving, organizing, evaluating, and using information. Knowledge of multiple intelligence can help teachers better understand the individual differences of learners. While some students will best understand the information process through a lecture, others would benefit from a concept map or a small group discussion about the topic. Individual intelligences may also determine how learners approach the process of gathering and thinking about information.

try itTry It!

Complete Tapped into Multiple Intelligences, the free, online workshop from Educational Broadcasting Corporation.

Metacognition Theory

Metacognition involves awareness and knowledge of one's own thinking including knowledge of strategy, task, and person variables (Flavell, 1979). According to Pintrich (2002), metacognition involves both metacognitive knowledge and control.

Metacognitive knowledge includes understanding general strategies that might be used for different tasks, knowledge of the conditions under which these strategies might be used, knowledge of the extent to which the strategies are effective, and knowledge of self. Metacognitive control and self-regulation are cognitive processes that learners use to monitor, control, and regulate their cognition and learning.

Pintrich (2002) has identified three types of metacognitive knowledge:

jamalToday's information explorer faces the daunting task of selecting relevant, meaningful topics to investigate, identifying timely resources, maneuvering through data sources, evaluating the accuracy of sources, synthesizing information, and drawing conclusions with constantly changing information. Illustrating how to move from a question to relevant resources can be a powerful way to show how choices are made to accept, confirm or reject information. Annette Lamb, professor of online course development at Indiana University, shows how one teen’s information inquiry process can be illustrated (Click to enlarge the figure below). Like most teens, Jamal communicates with family members through email. When he receives an email "forward" from him grandmother in Florida, he generally puts it in the trash. She sends lots of "forwarded messages" including chain emails, prayers, political jokes, and urban legends. While she thinks of these messages as fact, Jamal is much more skeptical. He's also mature enough not to argue with grandma. However one email forward catches his eye. The headline is "The New Canine Influenza". The message indicates that a virus deadly to dogs was first found in greyhound race dogs and has been spreading in the canine population of the U.S. He wonders if this could be true. His grandmother is clearly concerned about Bailey, the family dog.

Jamal's story

Having recently read The Great Influenza: The Epic Story of the 1918 Pandemic by John M. Barry for a science class, Jamal considers whether this could be connected to other recent viruses such as the "bird flu." Like most teens, Jamal spends lots of time on the Internet. His first stop is Snopes (http://snopes.com) to look up dog flu. He quickly locates a copy of the ominous email and is shocked to find that Snopes indicates the email is True. After reading the background information found by Snopes, he decides to conduct his own investigation to confirm the information in the email.

The message refers to an article at Recombinomics.com, so he checks the reference. Wondering about the credibility of this website, he examines the Founder page and learns that the website is authored by a person with authority. To check his credentials, Jamal googles "Henry L Niman". He finds that Niman is being interviewed by many news and health organizations worldwide on this topic.

The article also mentions AVMA. Googling AVMA brings up the American Veterinary Medical Association. This website contains the JAVMA (Journal of Veterinary Medical Association) News which links to an article titled "Canine influenza virus emerges in Florida." It states "Known as canine influenza or canine flu, the disease is caused by a highly contagious virus that was recently identified by researchers at the University of Florida College of Veterinary Medicine." Jamal decides to read the press report from the Florida Agriculture and Consumer Services Commissioner titled Bronson Alerts Public to Newly Emerging Canine Flu. The article indicates that the actual report is in the journal Science (30 September 2005). Unfortunately he doesn't have access to the journal Science, so he logs into his school library to search for the article. He finds that the current issue isn't available online, but it is available in the physical library.

Jamal goes to the journal Science online and wonders about their credibility. The copyright notice indicates the magazine is published by the American Association for the Advancement of Science. The AAAS website confirms that this organization is actually associated with this magazine. He has confidence in this source. The email also mentions the APHIS. He googles APHIS and learns that it's the Animal and Plant Health Inspection Service of the USDA. The website isn't well organized, so he leaves. Finally, he checks the references provided at the Snopes website from the New York Times and Boston Herald. Satisfied that people are concerned about this topic, Jamal decides to see what government officials are doing to address this concern. Having gone to the CDC (Center for Disease Control) as part of his 1918 Pandemic report, he starts there.

Jamal reads a transcript from a news briefing held September 26, 2005. Now we're getting somewhere. The conference includes the author of the article, Dr. Crawford from the University of Florida along with people from the CDC and Cornell. The discussion conveys the idea that the flu is a concern, but that the illness has a low mortality rate. The lead researcher even indicates that she would continue to show her dogs at Kennel Club events and is confident that they'll be fine. This makes Jamal feel much better. Jamal emails his grandmother to assure her that Bailey will be fine.

To be effective in a digital world, teachers as well as students must become metacognitive explorers. The visual below represents Jamal's inquiry process. He is asked to not only create a visual journal of his experience, but also reflect on the skills and sources used during the inquiry process. When Jamal’s experience illustrated in the visual map (Figure 1 above) is matched to his key experiences and sources (Click to enlarge the figure below), it’s possible to trace Jamal’s thinking and use of resources. Notice that he begins with a meaningful question that is associated with prior knowledge and personal context. He begins his exploration with a “comfort source” that he has used successfully in the past. His experience with email-based urban legends leads him to the popular Snopes.com website. Once he has confirmed that the Canine influenza is based on fact, Jamal begins to look for linkages that will lead back to the original source. This involves backtracking to the original source of the email message and checking facts using credible sources such as a well-known organization, a government source, a peer-reviewed journal, and an authoritative agency. Finally, Jamal is able to answer his original question and create a fact-based communication back to his grandmother.

metacognitive map

Motivation Theory

novelMotivation is the willingness and desire to participate or do something.

Some students find school boring. Motivation is particularly important to young adolescents who are quick to question the importance of school assignments (Lipscomb, 2003).

Intrinsic motivation comes from within a person including personal, professional and academic desires; the need to conform or succeed; or the thrill of a challenge.

Intrinsic motivation is evident when people engage in activities without outside suggestion or pressure. This motivation may come from the desire for enjoyment or a feeling of obligation. For example, some students enjoy reading graphic novels for pleasure even though they may not be on the "Accelerated Reader" book list.

Online students are more likely to be intrinsically motivated if they:

Extrinsic motivation is driven by external forces and structures such as increases in pay for course credit and rewards for program completion.

Extrinsic motivation occurs when people take action based on tangible or intangible rewards or other outside influences. For example, teachers may entice children with stickers or promises of class parties.

Consider how you might incorporate the following elements to increase extrinsic motivation:

Although experts are intrinsically motivated, novice learners need guidance and encouragement. Motivation can be enhanced in novices if they use high-quality self-regulatory processes such as self-monitoring. The level of self-satisfaction increases as they see their progress (Schunk, 1983).

Motivate your online learners through ongoing encouragementcourse claritymeaningful materials, and learner engagement.

Motivate through Ongoing Encouragement

Motivate through Course Clarity

Motivate through Meaningful Materials

Motivate through Learner Engagement

Self-Regulation Theory

Whether taking a face-to-face or online course, students must be able to manage their own learning. The ability to self-regulate is critical for success.

Self-regulated learning involves:

boy and graphicA key element of the human personality, Bandura (1977) defined self-regulation as the ability to control our own behavior. Self-regulation involves three steps:

Self-regulated learning is the deliberate planning and monitoring of the cognitive and affective processes involved in completing academic tasks (Corno and Mandinach, 1983). According to Winne (1995), most effective learners are self-regulating.

Yang (1993) found that high regulatory students:

Much work has been done in the field of self-regulation by Barry J. Zimmerman a professor at the Center of the City University of New York. He states that self-regulation is the "self-directive process by which learners transform their mental abilities into academic skills." (Zimmerman, 2002)

Self-regulated learners are “metacognitively, motivationally, and behaviorally active participants in their own learning process” (Zimmerman, 1989, p. 329). To accomplish their goals, learners set personal goals, perform strategically, monitor their progress, and adapt their approach. These skills are essential for life-long learners. Whether managing a business or developing a work of art, people must be self-reliant. Zimmerman identified a number of strategies for self-regulation:

According to Schunk and Zimmerman (1998), self-regulation is not a specific mental ability, instead it involves a series of component skills including:

In Becoming A Self-Regulated Learner, Zimmerman (2002) identifies how a student's use of specific learning processes, level of self-awareness, and motivational beliefs combine to produce self-regulated learners.

By acquiring specific strategies, students can learn to take control over their thinking, behavior, and environment. As they become increasingly self-regulated, learners shift their focus from comparing themselves with others to judging their performance against their personal goals. They are also able to work independently on increasingly complex problems and projects. These characteristics are all associated with information fluency.

Students must be able to adapt to changing learning environments and self-regulate in the following areas:

As self-regulating students work their way through the information inquiry process, they are constantly asking themselves reflective questions such as:

Forethought

Performance

Self-Reflection

As librarians partner with teachers to develop learning experiences for children and young adults, guidance can be provided to support self-regulated learning:

Consider ways to facilitate self-regulation in your students by encouraging metacognitive awareness, promoting time management, encouraging social interaction, and providing effective, efficient, and appealing learning materials.

Encourage Metacognitive Awareness

Help learners use metacognitive strategies to become more self-aware. In other words, encourage students to think about themselves, their learning style, their motivation, their personality and their approach to online learning.

Ask students to consider the following suggestions:

Promote Time Management

Provide learners with tips for time management during online course.

Ask students to consider the following suggestions:

Encourage Social Interaction

To succeed in online discussions and other online course activities, participants must have basic social skills including the ability to:

Provide Effective, Efficient, and Appealing Learning Materials

Support learners through the design of quality course materials.

Situated Cognition and Learning Theory

skypeSituated cognition refers to how people use information in daily life. It connects what a person knows with what that person does.

Jean Lave and others developed the idea of situated learning. Lave stresses that learning is situated and is embedded within activities, contexts, and cultures. Learning is often unintentional and occurs best in authentic contexts that involves a need for knowledge.

Situated learning theory stresses social interactions and authentic learning with an emphasis on learning in the context where information will be applied in the future.

Technology can help provide virtual experiences when students such as interacting with people from different cultures.

Situated learning addresses this issue by focusing on the relationship between learning and a particular situation. Students are placed in a situation and work together to become part of the social structure. When possible, real contexts, roles, and activities are used. Examples include conducting science and social experiments in the local community. When students create products such as letters, reports, or presentation, they share these with a greater audience such as parents or peers.

Example. Many schools are requiring students to wear uniforms. What if our school board decided to vote on this important issue? Where would you stand? Your job is to identify three high-quality articles related to the topic and present these to the board to help them in decision-making. You need to defend why you chose these articles including specific evaluation criteria. Your project should also include a properly cited bibliography.

 

Social Learning Theory

role playSocial learning theory involves learning through observing and modeling others. Attention, memory, and motivation all contribute to learning. The theory stresses that seeing others receive rewards or punishment can have a powerful influence on their behaviors.

Albert Bandura is the originator of social learning theory and the theory of self-efficacy.

Blanchett, Powis, and Webb (2012) described the four elements that make social learning effective:

In teaching, apprenticeships, mentoring, and role-playing would be used. When learners see others expressing the desired behavior, they are more likely to learn that skill.


Expert vs Novice Learners

What's the difference between an information professional and a student? How does a learner evolve as an information scientist? How can librarians help students develop as information scientists?

What's an expert?

An expert has a high degree of proficiency, skill, and knowledge in a particular subject. Experts are able to effectively think about and solve information problems. They see patterns in information and are able to identify solutions. Moving from novice to expert involves much more than simply developing a set of generic skills and strategies. Experts develop extensive knowledge that impacts the way they identify problems, organize and interpret data, and formulate solutions. Their approach to reasoning and solving information problems is different than a novice.

In their report, How People Learning: Brain, Mind, Experience, and School, Bransford, Brown, and Cocking (1999) identified key principles of experts' knowledge and their potential implications for learning and instruction:

  1. Experts notice features and meaningful patterns of information that are not noticed by novices.
  2. Experts have acquired a great deal of content knowledge that is organized in ways that reflect a deep understanding of their subject matter.
  3. Experts' knowledge cannot be reduced to sets of isolated facts or propositions but, instead, reflects contexts of applicability: that is, the knowledge is "conditionalized" on a set of circumstances.
  4. Experts are able to flexibly retrieve important aspects of their knowledge with little attentional effort.
  5. Though experts know their disciplines thoroughly, this does not guarantee that they are able to teach others.
  6. Experts have varying levels of flexibility in their approach to new situations.

What are the characteristics of experts?

chessEarly research by DeGroot (1965) found that experts perceive and understand stimulus differently from novices. He asked chess masters and beginners to think aloud as they played chess games. DeGroot hypothesized that masters would think through all the possible moves (breadth of search) and countermoves (depth of search), while beginners would not. He found that both experts and novices explored the possibilities. However the chess masters considered moves that were higher quality than beginners.

DeGroot concluded that knowledge acquired through experience enabled the masters to recognize meaningful chess configurations and identify the strategic implications. In other words, experts were able to see patterns and connections not evident to novices.

Much research has focused on the characteristics of experts. A few results are highlighted below:

Based on the growing body of research, the following attributes of experts can be identified. Experts:

What are learner-centered teaching strategies?

Although we don't expect our students to become expert information scientists, they can begin developing and applying the strategies used by professionals. According to Thompson, Licklider, and Jungst (2003), "a learner-centered approach to developing expertise requires purposeful and specific instruction that builds student capacity in these arenas". They stress that learner-centered teaching strategies should:

Meaningful learning occurs when students are able to see the relevance of knowledge and skills and can apply these for successful problem solving. According to Mayer and Wittrock (1996) transfer is the ability to use what was learned to solve new problems, answer new questions, or facilitate learning new subject matter.

chef and childBased on our knowledge of the differences between novices and experts, how do we help student information scientists develop the necessary repertoire of knowledge and range of skills and strategies? Consider some of the following key areas:

Before working with student information scientists, it's helpful to explore your own personal growth as an inquirer. How did you mature as an information scientist?

try itTry It!
Examine Annie's Inquiry and Danny's Inquiry. Reflect on your personal and professional experiences as an information scientist. Identify specific examples of how you matured as an information scientist. Predict the future of tools and techniques of information scientists. How will they change? How will they remain the same?

supervisionHow do students mature as thinkers?

Like all areas of expertise, students develop knowledge, skills, and attitudes related to information science over time.

As students reflect on each experience, they gain insights that can be applied to future inquiry activities.

The key to evolving from novice to expert is building increasingly sophisticated personal tools and techniques.

According to Barbara Stripling in Curriculum Connections through the Library (2003, p. 7), "if students have not unlocked decoding skills, then specific instruction must be given to that end, but even the youngest readers can also be taught strategies to enhance their comprehension of what they are reading."

As students move through school, they develop skills in particular subject areas. For instance, Jeanne Chall identified six stages in the process of learning to read.

clipListen!
Listen to Stages of Reading to learn more about how children learn to read. Dr. Louisa Moats describe Dr. Jeanne Chall's Stages of Reading. To learn more, read the PDF.

try itTry It!
Click and explore each of the following topics to explore a specific information skill and trace how a student matures as he or she gains experience and expertise. Then, create your own for another information skill.
Audience Analysis
Authority
Classics
Experts
Future Applications
Journal Your Research Experience
Linking Evidence
Key Terms and Strategies
Original Data
Question Evolution
Rating Resources
Useful Patterns

Learning Theory and Instruction

Trying to incorporate all these theories can be overwhelming. No one theory is "best" or "correct". Instead, focus on a few key ideas that bridge the various approaches.

In Learning Theories and Information Literacy, Chivers provide suggestions for developing and delivering interesting information literacy sessions:

Rather focusing on one theory, think about a combination approaches that support quality instruction. Chickering and Gamson (1987) proposed Seven Principles based on a meta-analysis of research on undergraduate students:

  1. Encourages Contact Between Students and Faculty. Frequent student-faculty contact in and out of classes is the most important factor in student motivation and involvement. Faculty concern helps students get through rough times and keep on working. Knowing a few faculty members well enhances students' intellectual commitment and encourages them to think about their own values and future plans.
  2. Develops Reciprocity and Cooperation Among Students. Learning is enhanced when it is more like a team effort than a solo race. Good learning, like good work, is collaborative and social, not competitive and isolated. Working with others often increases involvement in learning. Sharing one's own ideas and responding to others' reactions sharpens thinking and deepens understanding.
  3. Encourages Active Learning. Learning is not a spectator sport. Students do not learn much just by sitting in classes listening to teachers, memorizing pre-packaged assignments, and spitting out answers. They must talk about what they are learning, write about it, relate it to past experiences and apply it to their daily lives. They must make what they learn part of themselves.
  4. Gives Prompt Feedback . Knowing what you know and don't know focuses learning. Students need appropriate feedback on performance to benefit from courses. When getting started, students need help in assessing existing knowledge and competence. In classes, students need frequent opportunities to perform and receive suggestions for improvement. At various points during college, and at the end, students need chances to reflect on what they have learned, what they still need to know, and how to assess themselves.
  5. Emphasizes Time on Task . Time plus energy equals learning. There is no substitute for time on task. Learning to use one's time well is critical for students and professionals alike. Students need help in learning effective time management. Allocating realistic amounts of time means effective learning for students and effective teaching for faculty. How an institution defines time expectations for students, faculty, administrators, and other professional staff can establish the basis of high performance for all.
  6. Communicates High Expectations . Expect more and you will get more. High expectations are important for everyone – for the poorly prepared, for those unwilling to exert themselves, and for the bright and well motivated. Expecting students to perform well becomes a self-fulfilling prophecy when teachers and institutions hold high expectations for themselves and make extra efforts.
  7. Respects Diverse Talents and Ways of Learning . There are many roads to learning. People bring different talents and styles of learning to college. Brilliant students in the seminar room may be all thumbs in the lab or art studio. Students rich in hands-on experience may not do so well with theory. Students need the opportunity to show their talents and learn in ways that work for them. Then they can be pushed to learn in new ways that do not come so easily.

 

Resources

Bandura, A. (1977). Social Learning Theory. Prentice Hall.

Benjes-Small, C., Archer, A., Tucker, K., Vassady, L., & Resor, Whicker, J. (2013). Teaching web evaluation: A cognitive development approach. Communications in Information Literacy, 7(1), 39–49.

Blanchett, Helen, Powis, Chris, & Webb, Jo (2012). A Guide to Teaching Information Literacy: 101 Practical Tips. Facet Publishing.

Brain Connection

Bransford John D., Brown, Ann L., and Cocking, Rodney (eds.). How People Learning: Brain, Mind, Experience, and School. Committee on Developments in the Science of Learning, National Research Council, 1999.

Brown, J.S., Collins, A. & Duguid, S. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32-42.

Bruner, J. (1960). The Process of Education. Harvard University Press.

Bruner, J. S. (1964). The Course of Cognitive Growth. American Psychologist, 19, 1-55.

Callison, Daniel and Lamb, Annette (2006). Authentic learning and assessment. In D. Callison & L. Preddy, The Blue Book. Libraries Unlimited.

Chickering, A.W. & Gamson, Z.F. (1987). Seven Principles for Good Practice in Undergraduate Education. AAHE Bulletin, 1987, 39 (7), 3-7.

Chivers, Barbara. Learning Theories and Information Literacy.

Claxton, Charles S. & Murrell, Patricia H. (1987). Learning Styles: Implications for Improving Educational Practices. Acorn.

Cleary, T., & Zimmerman, B.J. (2000). Self-regulation differences during athletic practice by experts, non-experts, and novices. Journal of Applied Sport Psychology, 13, 61–82.

Constructing Knowledge in the Classroom from Southwest Educational Development Laboratory (SEDL)

Corno, L., & Mandinach, E. B. (1983). The role of cognitive engagement in classroom learning and motivation. Educational Psychologist, 18(2), 1-8.

Cuoco, Al, Goldenberg, E. Paul. Mark, June (1995). Habits of mind: An organizing principle for mathematics curriculum.

Dale, Edgar (1946) Audio-visual methods in teaching. The Dryden Press.

deGroot, A. D. (1965). Thought and Choice in Chess. Mouton.

Dick, Walt, Carey, Lou, and Carey, James O. (2011). The Systematic Design of Instruction. Seventh Edition. Pearson.

Doolittle, Peter E. Multimedia Learning: Empirical Results and Practical Applications.

Ericsson, A.K., & Charness, N.. Expert performance: Its structure and acquisition. American Psychologist. 49. 1994. 725–747.

Flavell, J. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34, 906-911.

Gardner, Howard (1983) Frames of the Mind: The theory of multiple intelligences. Basic Books.

Gardner, H. (1991). The Unschooled Mind: How children think and how schools should teach. New York: Basic Books.

Gardner, Howard, Kornhaber, Mindy L., & Wake, Warren K. (1996). Intelligence: Multiple Perspectives. Harcourt Brace.

Gardner, Howard. (1999). Intelligence Reframed: Multiple Intelligences for the 21st Century. Basic Books.

Gardner, Howard. (2004). Changing Minds: The Art and Science of Changing Our Own and Other People’s Minds. Harvard Business School Press.

Gardner, Howard (2006) Multiple Intelligences: New Horizons. Basic Books.

Glaser, R. (1992). Expert knowledge and processes of thinking. In D. Halpern (Ed.), Enhancing thinking skills in the sciences and mathematics. Erlbaum. 63-75.

Goleman, Daniel (2007). Emotional Intelligence: Why It Can Matter More Than IQ. Bloomsbury.

Kolb, David A. (1984). Experiential Learning: Experience as the Source of Learning and Development. Prentice-Hall, Inc.

Kovalik, Susan. Integrated Thematic Instruction.

Lave, J. (1988). Cognition in Practice: Mind, mathematics, and culture in everyday life. Cambridge University Press.

Lave, J., & Wenger, E. (1990). Situated Learning: Legitimate Periperal Participation. Cambridge University Press.

Learning Styles from Mindtools

Learning Styles & Multiple Intelligence from Vancouver Island Invisible Disability Association

Mayer, Richard E. (2001). Multimedia learning. Cambridge University Press.

Merrill, M.D. (1994). Instructional Design Theory. Educational Technology Publications.

Mims, Clif (2003). Authentic Learning: A Practical Introduction & Guide for Implementation. Meridian. 6(1).

Multiple Intelligences

Novak, Joseph D. & Canas, Alberto J. (2008). The theory underlying concept maps and how to construct and use them. Institute for Human and Machine Cognition. Available: http://cmap.ihmc.us/Publications/ResearchPapers/TheoryCmaps/TheoryUnderlyingConceptMaps.htm

Pavlov, I. P.  (1927). Conditioned Reflexes: an Investigation of the Physiological activity of the Cerebral Cortex. Dover.

Piaget, J. (1973). The Child’s Conception of the World. Paladin.

Pintrich, Paul R. (Autumn 2002). The Role of Metacognitive Knowledge in Learning, Teaching, and Assessing. Theory Into Practice, 41(4), 220-227.

Riehle, Catherine Fraser (2012). Inciting curiosity and creating meaning: teaching information evaluation through the lens of ‘bad science’. Public Services Quarterly, 8, 227-234.

Schunk, D.H. (1983). Progress self-monitoring: Effects on children's self-efficacy and achievement.Journal of Experimental Education, 51, 89–93.

Schunk, D.H., & Zimmerman, B.J. (Eds.) (1998). Self-regulated Learning: From Teaching to Self-Reflective Practice. Guilford Press.

Skinner, B. F. (1938). The Behaviour of Organisms. Appleton-Century Crofts.

Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285.

Teacher Tap: Brain-based (Compatible) Learning

Teacher Tap: Multiple Intelligences.

The Theory of Multiple Intelligences (MI) from EdWeb

Thorndike, E. L. (1911). Animal Intelligence: Experimental Studies. Macmillan.

Tilley, Carol L. & Callison, Daniel (2006). Gender. In D. Callison & L. Preddy, The Blue Book. Libraries Unlimited.

Vuko, Evelyn Porrea (1998). Math, Science, Technology & Habits of Mind. AAAS.

Wineburg, S. (1998). Reading Abraham Lincoln: An expert-expert study in the interpretation of historical texts. Cognitive Science, 22(3), 319-346.

Winne, P. H. (1995). Inherent details in self-regulated learning. Educational Psychologist, 30, 173-187.

Yang, Y. C. (1993). The effects of self-regulatory skills and type of instructional control on learning from computer-based instruction. International Journal of Instructional Media, 20(3), 225-241.

Zimmerman, B. J. (Spring 2002). Becoming a Self-Regulated Learner: An Overview. Theory Into Practice, 41(2), 64-71.

Zimmerman, B.J., & Risemberg, R. (1997). Becoming a self-regulated writer: A social cognitive perspective. Contemporary. Educational Psychology, 2, 73–101.

Zimmerman, B.J., & Schunk, D.H. (Eds.). (2001). Self-regulated Learning and Academic Achievement: Theoretical Perspectives (2nd ed.). Erlbaum.




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