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Accommodating Diverse Learning Styles in an Online Environment

Lori Arp and Beth S. Woodard, Column Editors
Lori Mestre, Guest Columnist

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As librarians and instructors strive to provide optimal learning experiences in an online medium, they need to consider the different ways that students learn. Some of the questions that should be asked include: Does one’s learning style or preference for a face-to-face environment carry over into an online environment? What learning principles should be considered when designing instructional content for the Web? Are there clues that can be used from what is already known about learning styles for multicultural populations that should be considered as materials are put online? The purpose of this column is to provide some examples from the literature that discuss these questions as they relate to online learning styles, especially for diverse populations.

Overview of Learning Styles

The identification, classification, or definition of learning styles varies widely depending on the perspective of the researcher. Additionally, the term “learning styles” is sometimes used interchangeably with terms such as “thinking styles,” “cognitive styles,” and “learning modalities.” There are numerous theories and opinions on learning styles. While early researchers, such as Kolb, focused on experiential learning, more contemporary researchers have expanded their models to include both psychological and affective dimensions.1 James and Gardner suggest that individual learning styles are developed as an outcome of heredity, experience, and current environment, and that a core concept of learning styles is “how people react to their learning environment.”2 Dunn cites another commonly accepted definition: “Learning style is a biologically and developmentally determined set of personal characteristics that make the identical instruction effective for some students and ineffective for others.”3

Four of the common theories and models used to explain how students’ learning styles vary are:

  • the single learning-style continuum, which includes field dependence and field independence;
  • definite learning style, which includes serialist and holist classification;
  • situational learning style, which includes surface and deep processing; and
  • multidimensional learning style, which includes analytic and intuitive dichotomy.4

Other contemporary models, as well as inventories, have also been used to assess learners’ modes of thinking. Gardner, for example, asserts that humans have different forms of intelligences or intellectual strengths, each with its own developmental path.5 Research has also shown that many people possess secondary learning styles that can reinforce initial learning.6 For this column, Witken’s Model and Kolb’s Learning Style Inventory will be highlighted, as they provide applicable information regarding cultural distinctions in learning with carryovers to the online environment.7

What Do We Know About Learning Styles for Diverse Groups?

There is no one preferred learning style that works for all students or even for any one particular ethnic or cultural group. Not all students from any particular group learn in the same way. In fact, different measurement methods assess different dimensions of learning styles that address such factors as instructional practices, information processing, social-interaction tendencies, and the influence of personality. Librarians need to be aware of cultural differences that influence learning. Cognitive, learning, and motivational styles of many students may be different from those most often expected by teachers and librarians who represent the majority culture. Researchers also suggest that individuals tend to fall into distinct categories related to the manner in which they prefer to learn and, to a large degree, these preferences are culturally identified.8

Dunn reviewed dozens of studies of major cultural groups in the United States to assess preferred learning styles.9 Although she found that individuals in these groups reflect a diverse array of learning style preferences, she also concluded that certain learning preferences are characteristic of the majority of members of each group. For example, European Americans prefer learning alone, expecting to do things for themselves through self-reliance and competence, whereas Native Americans and Latinos enjoy learning with peers and emphasize cooperation and loyalty. Asian Americans prefer highly structured learning activities, whereas African Americans are more comfortable with minimal structure. African Americans prefer kinesthetic or experiential learning activities more than Asian Americans or European Americans do.

Field Dependence Versus Field Independence Learning Theory

Developed in the 1940s, Witkin’s theory of field dependence and field independence cognitive styles carries many implications for cross-cultural learning.1- It also significantly impacts users’ information processing, because the theory describes how well an individual is able to restructure information based on the use of salient cues and field arrangement.

Witkin designed an Embedded Figures Test to determine how well people can deal with a portion of a field separately from the field as a whole.11 Field independence and field dependence as defined by Witkin and others are related to those characteristics of individual functioning that surface in social, intellectual, and perceptual domains of human behavior. For example, field-independent individuals perceive objects as separate from the field; abstract figures from a field; impose personal structures on the environment; set self-defined goals; work alone; choose to deal with abstract subject matter; are socially detached and rely on their own values; and are self-reinforcing. Field independents tend to be more self-directed and better able to make sense of unstructured material. Due to their narrow focus and ability to screen, field independents can usually process information more efficiently, but may miss the social context that their field-dependent peers more readily perceive.

In contrast, field-dependent people tend to rely on the field for clues about an object; prefer a structure provided by the environment; experience the environment more globally; are interested in people; use externally defined goals; receive reinforcement from others; focus on socially oriented subject matter; and prefer to work with others. Field dependents tend to learn better in a social setting (for example, class discussion, group work) and where direction and structured material are provided for them. They tend to specialize in work and study requiring interaction with people.

Findings by Anderson and Adams concluded that white and Asian American men tend to be field-independent learners who are parts-specific, can isolate facts as needed, are rather linear in their thinking and problem solving, and tend to test well.12 On the other hand, white females, African Americans, Native Americans, and Latinos of both sexes tend to be field-dependent learners; must see the big picture; are able to see details only in relation to the whole; seek to find personal relevance in the task at hand; and require that some sort of personal relationship be established between the instructor and the student. Field-independent learners may work well in a teacher-centered classroom that encourages competition and that allows them to develop their own strategies in nonsocial problem-solving domains, whereas field-dependent learners may prefer a cooperative learning environment that encourages peer interaction and support and that pays more attention to the social context in which tasks are framed.13 Field-dependent learners may also prefer to interact with the teacher, and tend to learn better when some structure, mediation plans, or strategy is provided.

Kerka stated that field-independent learners are more efficient in search-and-navigation tasks, whereas field-dependent learners are more likely to feel lost and disoriented in computer-mediated or hypermedia environments.14 Ogle compared field dependents’ and independents’ performance on a task of recall.15 The content was presented through two different treatments: a virtual environment and static images. A significant interaction was found between field dependence and treatment type favoring field independents in the virtual-environment treatment. DeTure found that students who are more field independent not only have higher self-efficacy when using online technologies, but also have higher confidence levels with online technologies.16 The research using this model suggests that those who are field dependent (for example, large proportions of Latinos, African Americans, and Native Americans) may have a disadvantage in an online environment if geared to the dominant culture.

Kolb’s Learning Style Inventory

A number of studies have applied Kolb’s theory to investigate how learning styles affect e-learning and hypermedia learning (with specific considerations for diverse groups), and most of them indicate that learning styles play a key role in learning.17 Other studies on relationships between learning style and e-learning have been done on college- and graduate-level students, and citations to them can be found in the references.18

Kolb’s model conceptualizes the learning process as a four-stage cycle including:

  • reflective observation or “learning by watching and listening, carefully observing before making judgments, viewing issues from different perspectives, looking for meaning of things”;
  • abstract conceptualization, or focusing on using logic, ideas, and concepts;
  • active experimentation or “learning by doing, ability to get things done, risk-taking, influencing people and events through action”; and
  • concrete experience, or using experiences and real situations that are personally and immediately relevant to the individual. It emphasizes feeling, as opposed to thinking.

By pairing preferences for how experiences are perceived (theoretical or pragmatic) and how these experiences are transferred into knowledge (doing or reflective), Kolb identifies four different learning styles:

  • Assimilator = Reflective/Theoretical–(Asian Americans tend to fit into this category.) This category includes individuals who are best at understanding a wide range of information and putting it into concise, logical form. They are less focused on social aspects of learning and more interested in abstract conceptualization and reflective observations.
  • Converger = Doer/Theoretical–This category includes individuals who can take ideas and turn them into concrete situations. They use abstract conceptualization and active experimentation to learn.
  • Diverger = Processor/Reflector–This category includes individuals who are strong on imagination and can view a concrete situation from a variety of perspectives. They use reflective observation and processing to learn.
  • Accomodator = Processor/Doer–(Latinos, white females, African Americans, and Native Americans tend to fit in this category.) This category includes individuals who use concrete experiences, or attempt to make any situation concrete. They are good adaptors.

Online Success Characteristics

Of the four learning styles described by Kolb, Accommodators seem to be the most at risk in online-learning environments. Researchers are finding that Accommodators are the least likely to succeed in an online-learning environment that is abstract and reflective.19 Rourke commented that:

The Accommodators have an intuitive, active approach to perceiving and processing information. They perform best in environments in which concrete, practical information is presented through interaction with peers and instructors. They process information best when they can actively apply this information to authentic situations.20

Moeller also found that “the most dominant learning style in the nontraditional learning environment was the accommodator style.”21 In other studies, students with assimilating and accommodating learning styles demonstrated significantly more agreeable attitudes toward varied aspects of network-based instruction than students with converging and diverging learning styles.22 When creating online-learning environments, it is critical that the needs of Accommodators be met via personalized learning with hands-on experiences. Kolb’s study remains one of the most significant for those working with learning styles. As others research learning in the online environment, they have used Kolb’s work as a starting point for their online research. Honey and Mumford’s work is one example of this.

Honey and Mumford developed a modified version of Kolb’s learning style inventory, which turns the Doer, Reflector, Theoretical, and Processor preferences into learning styles called Activists, Reflectors, Theorists, and Pragmatists.23 Of the four types, Reflectors and Theorists tend to do best in online environments, partly because an online environment might provide them more time to think about their tasks. The remaining groups, Activists and Pragmatists, also have various characteristics that benefit from online instruction, but do well in face-to-face instruction as well. Activists like to be involved in new experiences and problem solving. They enjoy doing things and tend to act first and consider the implications afterwards. They like working with others, but prefer being leaders where they can direct the course. Pragmatists are keen to try things out. They want concepts that can be applied to their job or life. They tend to be impatient with lengthy discussions and are practical and down to earth. They learn best when they have the chance to try out techniques with feedback (for example, role playing), are shown techniques with obvious advantages (for example, saving time), and are shown a model they can copy.

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