Fundamental changes occurring in the nature of work have led some authors to contest that established approaches to delivering career services may no longer be efficacious. This article challenges such notions and examines the idea of changing occupations and how these changes may influence the delivery of career services. While important changes have occurred, occupations remain a viable unit of analysis for the assessment and information resources used in delivering career services. The article concludes with clinical implications for career counselors and service providers.
Keywords: career services, occupations, assessment, career theory, technological innovations, clinical implications
While the efficacy of various educational and vocational guidance interventions has always been a matter of debate, concerns have been raised about the continued use of interventions developed in the past and based on possibly outdated concepts (e.g., occupation). An example of such a concern was raised most recently by Savickas et al. (2009).
We reviewed the literature on this topic and constructed a generalized assertion compiled from various sources:
The transition from the industrial age to the information age has been accompanied by
unprecedented change. Virtually every aspect of modern life has been impacted by
technology. Occupations have changed in fundamental ways as technology and globalization
have reshaped the workplace. Occupations have become fluid and organizations are evolving
rapidly, adapting their workforce to respond to a rapidly evolving marketplace.
Although the wording of this concern changes from one talk or publication to another, the essential elements are often repeated in the media and mentioned in presentations at professional meetings. This assertion has been repeated so often that it has attained the status of fact. The only problem is that it is not true. An analysis of current labor market information indicates that the extent of change in occupations, while real and important, is not as pervasive as common knowledge would have us believe.
A second assertion follows from the one above:
Much of the current practice in educational and vocational guidance is the product of the
industrial age. Old models of practice, based on ideas about occupations and work that have
changed dramatically, need to change to reflect the demands of the information age.
These assertions, although popular, are flawed for two reasons. First, the extent of change in occupations is not as great as commonly assumed. Second, even if substantive changes have occurred, we have no data showing that well designed and implemented career interventions created in the past are no longer effective (Brown et al., 2003).
This paper examines the idea of changing occupations and how these changes may have affected the delivery of career services. For the purposes of this paper, occupations are defined as “a group of similar positions found in different industries or professions” (Reardon, Lenz, Sampson, & Peterson, 2009, p. 7).
Misperceptions of the Extent of Change in Occupations
The perception that unprecedented change has occurred in occupations is the result of a variety of factors, including: (a) the idea that the magnitude of change between the agricultural and the industrial age was less than the change between the industrial age to the information age, (b) inaccurate information in the public media about change in occupations, and (c) the failure to use career theory in analyzing occupational change.
Change Across the Agricultural, Industrial, and Information Ages
Technology changes over time have profoundly influenced the lives of individuals, organizations and governments. For example, the steam engine and electricity changed the nature of work from the agricultural age to the industrial age, and the computer has led to the current information age. Some consider the extent of change between the agricultural age and the industrial age as less than or equivalent to the extent of change between the industrial age and the information age. In a discussion of the information age, Watts (1999, p.1) noted, “Robert Reich has called it the ‘second great crossing,’ comparable to the move from the land to the factory.”
While this assertion may be true in some respects, the magnitude of these changes is not equivalent in our opinion. First, there was a massive geographic displacement from rural to urban areas in the transition from the agricultural to the industrial age. While relocation of workers still occurs at the present time, it is not on the scale that it was a century ago. Individuals moving from manufacturing to service occupations are often able to obtain employment without physically relocating. Moreover, in many instances it is factories that are moving to locations where labor is cheap. Second, 100 years ago success as a farmer was dependent on having a wide variety of skills. For example, the farmer did the work because it was too expensive to hire someone else to repair machinery. When farmers moved to urban areas and began working in factories, the range of job skills needed declined substantially. Work was simplified and made routine in order to improve efficiency in the factory. While this was not true for all workers, it did create a clear demarcation in the nature of working between the agricultural age and the industrial age.
More recently, Friedman (2005) suggested that technology innovations and the global economy now make it possible for individuals to work more independently in a flattened world. The work is accomplished in real time without regard to distance or worker location. While new forms of business organizations and ways of working will lead to occupational changes in the information age, the most important difference today from the past may be simply the rate of change.
As aforementioned, we do not see the changes in occupations and work occurring between the industrial age and the information age as having been as dramatic as the changes between the agricultural age and the industrial age. While information technology has increased the speed of change and the increasing complexity of work tasks has required more collaboration among workers, we believe the amount of change in occupations in our contemporary world has been oversold.
In all three eras, there were and have been changes in gender roles and relationships, family life, lifestyles, financial income, the kinds of jobs available, ways of working, job training and the diverse characteristics of workers (e.g., ethnicity, disability, and the nature of occupational choices). But, there are still jobs in construction, business and social services, food production, manufacturing, transportation, education, and a host of other industries, and these jobs comprise the occupations that persist in the new age.
Public Media Information about Change in Occupations
The perception that occupations are undergoing substantive change has been exacerbated by inaccurate information about occupations presented in mass media. The fact that the demand for home health aids, accountants, receptionists and food service workers is growing at 5% is not particularly newsworthy. However, the fact that the demand for robotic technicians is increasing at 50% per year is newsworthy, especially when the story is accompanied by video of a robot performing simple household tasks while the homeowner watches from a corner of the room and comments on how nice it is to have a robot. A brief interview with the robotic technician, stating how exciting and rewarding their job is, reinforces the notion that robotics work is a good option for the future. However, reality presents a different picture.
The concept of big growth and fast growth occupations (Reardon et al., 2009) is relevant here. For example, projected employment growth for environmental engineers and accountants/auditors from 2002 to 2012 shows 18,000 for the former and 205,000 for the latter. But, when the percent of employment growth is examined for these two occupations, the rate for environmental engineers is 38% (fast growth) and accountants/auditors are 19% (big growth with 205,000 jobs projected). The distinction between big growth occupations and fast growth occupations is rarely mentioned in the media. The public, as well as educational and vocational guidance practitioners who have limited knowledge of labor market information, easily conclude that substantive changes in occupations are occurring when only percent change is examined. Indeed, occupations with the most openings are not new, different, or unique but familiar and common (Reardon et al., 2009).
Pikulinski (2004), an economist with the U.S. Department of Labor, reported that most new and emerging occupations are in firms with fewer than 100 employees. Even many of the fast growth occupations in the U.S. are in familiar areas of work. For example, 11 of the 20 fastest-growing occupations are in the fields of health services or the provision of social, personal, or mental health services (Reardon et al., 2009).
Using Career Theory to Understand Occupational Change
Occupational change can be examined from the standpoint of Holland’s (1997) career theory and provides a familiar schema for counselors in examining occupational change. U.S. census data from 1960 to 2000 provides evidence about the extent of change in occupations relative to Holland codes. First, occupational titles included in the census have remained quite constant over time, which is an indication of stability in occupational schema. Second, the pattern of employment for men and women by Holland code (realistic, investigative, artistic, social, enterprising and conventional) has been relatively stable (Reardon, Bullock, & Meyer, 2007). Third, realistic jobs have held constant from 1960 to 2000 and employed the most people; however, the percentage of people working in the realistic area has been declining. Very few people work in the Artistic area (about 1–2%) and this has remained constant over five decades, but occupational employment in the enterprising area has been increasing slightly over the same period.
The application of a career theory developed over the past 40-plus years adds to our understanding of occupations and occupational change, and it should be a basic tool for career counselors. However, this is not often noted in much contemporary career literature forecasting the demise of work as we have known and understood it. We believe that Holland’s (1997) matching model is supported by data and experience related to occupational employment and can inform career services.
Actual Changes in Occupations
It is obvious that some change has occurred in occupations. For example, we would suggest that most occupations have been impacted by information technology ranging from bar codes, cell phones, computers, the Internet, social media and more. However, other aspects of work have not changed. Essential work behaviors such as problem-solving, written and oral communication, interpersonal relationship skills, manual dexterity, and creativity have remained constant despite rapid changes in technology. Moreover, job vacancy notices are still posted announcing the availability of work, and job titles are used as a quick way to communicate information about the nature of the work. Internet job boards such as CareerBuilder and Monster list millions of positions daily, and these positions have job titles for specific employing organizations that can be generalized to occupational titles across fields of work.
Consider the following examples: In dentistry, technology has led to improved instruments, electronic databases are used to store patient records, and X-rays are now viewed and stored digitally. However, other aspects of work have not changed. Essential work behaviors such as assessment, diagnosis, treatment planning, communication with patients, manual dexterity, and selecting and managing staff remain essential to the success of a dentist. The essential work behaviors of a dentist have not changed in 100 years.
Carpenters are another example. Despite advances in materials and methods of home construction, carpenters are still employed in large numbers. Although the use of prefabricated building materials has reduced the need for some specialized craft skills, such as making crown molding, the essential work behaviors of problem-solving, eye-hand coordination, teamwork and planning have remained constant.
The number of individuals employed in various occupations increases and decreases with changes in the economy. This dynamic was as much a feature of the industrial age as it is in the information age. The loss of positions for the coopers who shaped wooden staves and assembled barrels occurred in the industrial age long before computers became commonplace. Web designers are often given as an example of the substantive change currently occurring in occupations. Forklift drivers were unknown in 1870, but were commonplace by 1950 during the industrial age. The pace of change in the information age is undoubtedly faster, but it is a mistake to confuse the rate of change in occupations with the extent of change. A relatively small number of occupations appear and disappear in the labor market each decade, but the characteristics of most occupations change only incrementally and these changes are often peripheral (as is the case with dentists).
Occupational credentialing provides additional evidence of the relative stability of occupations. Despite changes in work tasks, numerous occupations still require a license or certification to work independently. There is no evidence that the number of occupations requiring a credential has decreased. Certainly the knowledge and skills required for credentialed workers evolves over time. These changes are reflected in content modifications in licensure and certification exams, as well as changes in experience requirements required for credentialing. However, the core elements of credentialed occupations are stable enough to warrant continued certification.
The process of identifying and describing an occupation is the work of occupational analysts who use a variety of specialized tools and classification systems in their work. For example, analysts working with census data examine hundreds of thousands of jobs and employment situations reported by citizens in each census period. Researchers then categorize the detailed job information into occupational groups using the census occupational codes and more recently the Standard Occupation Code (SOC; U.S. Dept. of Labor, 2000) to classify occupations. SOC is the system now used with O*NET, the online, comprehensive listing of the most common occupations in the U.S. that employ the most persons.
Implications for Practice in Career Services
We believe the magnitude of change in occupations has been oversold in professional counseling literature and in the popular media. The transition to the information age has not had the substantive impact on occupations that is generally believed. Thomas Gutteridge and Raymond Palmer, a researcher and career counselor, respectively, suggested that it is jobs that are changing, not occupations (as cited in Patterson & Allen, 1996). They noted that it is a mistake to consider the occupational world as unstable or unpredictable because the vast majority of occupations change very little. The findings of Reardon, Bullock, and Meyer (2007) support their assertion. The career assessments and career information used in the provision of educational and vocational guidance services are based on occupations and not jobs, and practitioners should have confidence that this is a useful schema for career services.
While a few occupations will change more, most will change less. Labor market analysts have the expertise to maintain the validity of occupational data. We also have the technology required to maintain and quickly disseminate these data. However, without a public policy to provide adequate and stable funding for analysis and dissemination of occupational information, the opportunity to provide individuals with potentially helpful career information will be negatively impacted.
While important changes in work have occurred, occupations remain a viable unit of analysis for the assessment and information resources used in delivering career services. It is inappropriate to assume that current changes occurring in the nature of work are a sufficient justification for substantive change in the delivery of career services. Career interventions that are old are not out of date unless there is evidence that some other intervention is more effective. Changes in the delivery of career services should be based on evidence that changes are warranted and that other interventions are likely to be more effective. New ideas are not necessarily better and old ones are not necessarily worse. As Savickas et al. (2009, p. 240) stated, “…we must not lose sight of those valuable contributions of 20th century theories and techniques that remain relevant in this new era. As we go forward, we should manage the great inheritance of the last decades of the 20th century, while increasing its richness.”
Brown, S. D., Krane, N. E. R., Brecheisen, J. Castelino, P. Budisin, I., Miller, M., & Edens, L. (2003). Critical ingredients of career choice interventions: More analyses and new hypotheses. Journal of Vocational Behavior, 62, 411–428.
Friedman, T. L. (2005). The world is flat. New York, NY: Farrar, Straus, & Giroux.
Holland, J. L. (1997). Making vocational choices. Odessa, FL: Psychological Assessment Resources.
Patterson, V., & Allen, C. (1996). Occupational outlook overview: Where will the jobs be in 2005? Journal of Career Planning & Employment, 56(3), 32–35, 61–64.
Pikulinski, J. (2004). New and emerging occupations. Monthly Labor Review, 127(12), 39–42.
Reardon, R. C., Bullock, E. E., & Myer, K. E. (2007). A Holland perspective on the U.S. workforce from 1960 to 2000. The Career Development Quarterly, 55, 262–274.
Reardon, R., Lenz, J., Sampson, J., & Peterson, G. (2009). Career development and planning: A comprehensive approach (3rd. ed.). Mason, OH: Cengage Learning.
Savickas, M. L., Nota, L., Rossier, J., Dauwalder, J. P., Duarte, M. E., Guichard, J., Soresi, S., Van Esbroek, R., & van Vianin, A. M. E. (2009). Life designing: A paradigm for career construction in the 21st century. The Journal of Vocational Behavior, 75, 239–250.
U.S. Department of Labor. (2000). Standard occupational classification (SOC) system manual. Washington, DC: U.S. Government Printing Office.
Watts, A.G. (1999). Reshaping Career Development for the 21st Century. Inaugural Professorial Lecture. Derby: Centre for Guidance Studies, University of Derby.
James P. Sampson, Jr., NCC, is the Mode L. Stone Distinguished Professor of Counseling and Career Development, Associate Dean of the College of Education, and Co-Director of the Center for the Study of Technology in Counseling and Career Development, while Robert C. Reardon, NCC, is Professor Emeritus and Senior Research Associate in the Center for the Study of Technology in Counseling and Career Development, both at Florida State University. This article was originally presented at a symposium in Padova, Italy, sponsored by the International Association of Educational and Vocational Guidance, the Society for Vocational Psychology, and the National Career Development Association, September 3, 2007. Appreciation is expressed to Ashley Chason, Casey Dozier, and Stephanie Rodriguez for their assistance with the literature review. Correspondence should be directed to James P. Sampson, Jr., Florida State University, 307 Stone Building, Tallahassee, FL 32306-4453, email@example.com.
Educational counseling has declined as a counseling specialization in the United States, although the need for this intervention persists and is being met by other providers. This article illustrates how career theories such as Holland’s RIASEC theory can inform a revitalized educational counseling practice in secondary and postsecondary settings. The theory suggests that six personality types—Realistic, Investigative, Artistic, Social, Enterprising, and Conventional—have varying relationships with one another and that they can be associated to the same six environmental areas to assess educational and vocational adjustment. Although educational counseling can be viewed as distinctive from mental health counseling and/or career counseling, modern career theories can inform the practice of educational counseling for the benefit of students and schools.
Keywords: educational counseling, career theory, Holland, secondary education, postsecondary education
In searching for a formal definition of educational counseling, we found only one in the APA Dictionary of Psychology (VandenBos, 2007):
The counseling specialty concerned with providing advice and assistance to students in the development of their educational plans, choice of appropriate courses, and choice of college or technical school. Counseling may also be applied to improve study skills or provide assistance with school-related problems that interfere with performance, for example, learning disabilities. Educational counseling is closely associated with vocational counseling because of the relationship between educational training and occupational choice. (p. 314)
The Counseling Dictionary (Gladding, 2006) does not mention the term “educational counseling” in the following definition of counseling.
The application of mental health, psychological or human development principles, through cognitive, affective, behavioral or systemic interventions, strategies that address wellness, personal growth, or career development, as well as pathology. (Gladding, 2006, p. 37)
A renewed focus on educational counseling may be underway. The American Counseling Association meeting in Pittsburgh in 2010 brought together delegates from 29 major counseling organizations who agreed for the first time on a common definition of counseling. Educational goals were explicitly included in this definition: “Counseling is a professional relationship that empowers diverse individuals, families and groups to accomplish mental health, wellness, education, and career goals” (Breaking News, May 7, 2010).
The purpose of this article is to describe five functions essential for educational counseling (Hutson, 1958) and to use them to illustrate how Holland’s RIASEC theory might inform this counseling practice: (a) choosing a college or school for postsecondary training, (b) selecting an academic program or major, (c) adjusting to the college or academic program, (d) assessing academic performance, and (e) connecting education, career, and life decisions.
In tracing what has happened to educational counseling, a brief historical review can be helpful. In the early days of the vocational guidance movement, Brewer (1932) shifted the focus of guidance from vocation and occupation to education and instruction. He went so far as to institutionalize guidance as a professional field by linking the terms education and guidance and even using them synonymously. This could have elevated educational counseling to a more prominent position in the profession, but that did not happen. Brewer and others viewed guidance as limited by the descriptive adjective “vocational” with an emphasis on occupational choice (Shertzer & Stone, 1976), and this resulted in an estrangement between vocational and educational counseling.
Shertzer and Stone (1976) reported that the term “educational guidance” was first used in a doctoral dissertation by Truman L. Kelley at Teachers College, Columbia University, in 1914, and that he used it to describe the help given to students who had questions about choice of studies and school adjustment. Stephens (1970) pointed out that the shift from vocational choice to “guidance as education” ruptured the basic nature of the vocational guidance movement, separating the focus on “vocation” to “education.” Thus, vocational theory became associated with occupational choice and only tangentially related to educational choice, and we view this as leading to the separation of educational guidance and counseling from career theory.
In a comprehensive review of educational guidance literature published from 1933–1956, Hutson (1958) saw the counseling element of the educational guidance program as its most important function. He devoted a chapter to “Counseling for Some Common Problems” in which he identified 10 discrete but overlapping counseling situations. Several elements focused on educational counseling, including choice of subjects and curriculums, college-going (choice of going to college or working; choice of a particular college), and length of stay in school. Each of these problem areas involved counseling related to student psychological and educational characteristics, goals, and decision-making skills. Of relevance to this article, Hutson identified no theory related to educational counseling and cited only the vocational theory of Eli Ginzberg (Ginzberg, Ginsburg, Axelrad, & Herma, 1946) as informing vocational counseling. Theory-based educational counseling had not yet arrived.
The practice of educational counseling has faded from view in contemporary guidance and counseling literature. We conducted a search of journal titles and abstracts within the social sciences area using the term “educational counseling” and our university’s online library database system using Cambridge Scientific Abstracts (CSA) and PsychInfo. We were interested in how many “hits” for the past 10 years we would find in the following journals: Career Development Quarterly, Journal of Career Assessment, Journal of College Counseling, Journal of College Student Development, Journal of Counseling & Development, and Journal of Counseling Psychology. The search provided a total of seven results with only four falling into one of these six journals.
Advising, Coaching, Brokering
While the field of educational counseling seems to have been in decline for the past 50 years, other specialties have emerged to take its place, including academic advising, academic coaching, and educational brokering.
The field of academic advising has been very active in the past 30 years. Ender, Winston, and Miller (1984) defined developmental academic advising as “a systematic process based on a close student-advisor relationship intended to aid students in achieving educational, career, and personal goals through the utilization of the full range of institutional and community resources” (p. 19). Later, Creamer (2000) defined it as “an educational activity that depends on valid explanations of complex student behaviors and institutional conditions to assist college students in making and executing educational and life plans” (p. 18). While generally careful to distinguish between the terms advising and counseling, the National Academic Advising Association (NACADA; http://www.nacada.ksu.edu/index.htm) has fully embraced most of the educational planning and adjustment issues faced by postsecondary students that heretofore might have been included in the domain of educational counseling.
It is beyond the scope of this article to fully explore the notion of academic coaching, so we will limit our comments to the general field of life and career coaching (Chung & Gfroerer, 2003; Patterson, 2008). In general, proponents view coaching as a service focused on a student’s future goals and the creation of a new life path based on less formal collegial mentoring relationships and a positive, preventive wellness model. Opponents view coaching as practicing counseling without proper training or certification because there are limited professional standards or requirements in the coaching field.
Finally, the educational brokering movement in the 1970s was focused on helping adult learners navigate their way through postsecondary educational experiences (Heffernan, 1981). The educational broker independently assisted learners in the process of exploring, researching, and deciding on educational alternatives available. Some educational brokering proponents (Heffernan, 1981) held the view that an educational counselor employed by a specific institution would be biased and “guide” prospective students into the academic programs offered by the employing organization. Brokers were seen as neutral guides to the full range of educational options available to postsecondary learners.
Modern Career Theories
In this article, we examine the topic of educational counseling and suggest that modern career theories could contribute to a revitalization of this function. These theories, identified and described by Brown (2002), include career contextualist theory (Young, Valach, & Collin, 2002); Gottfredson’s theory of circumscription, compromise, and self-creation (L. Gottfredson, (2002); cognitive information processing theory (Sampson, Reardon, Peterson & Lenz, 2004); life stage/life space theory (Super, Savickas, & Super, 1996); narrative construction theory (Savickas, 2002); person-environment correspondence theory (Dawis, 2002); RIASEC theory (Holland, 1997); and social cognitive career theory (Lent, Brown, & Hackett, 2002). We illustrate our idea of how career theory might be useful in educational guidance and counseling programs using Holland’s (1997) RIASEC theory, emphasizing the environmental aspect of the theory.
Thus far, we have identified the function of educational counseling as an early component of the developing field of guidance and counseling, and we have outlined trends that have negated that function more recently. The irony is that the need for educational counseling services remains strong today, but it needs revitalization. We believe that the application of new theory, especially career theory, would be useful in that process and inform practice and research in the field. In this article, we focus on Holland’s RIASEC theory as one theory for accomplishing this revitalization. At the same time, we draw upon some of the basic functions of educational counseling drawn from the literature (Hutson, 1958; VandenBos, 2007).
Holland’s RIASEC Theory
Holland’s theory and the related tools such as the Self-Directed Search (SDS; Holland, 1994) have become familiar icons in the career counseling field. Since the introduction of the SDS in 1972 and its use with over 29 million people worldwide (Psychological Assessment Resources, 2009), its incorporation into the Strong Interest Inventory (Harmon, Hansen, Borgen, & Hammer, 1994) and many other tools, we believe that most counselors feel comfortable and knowledgeable about this system. However, we also believe that the widespread familiarity with the hexagon and SDS is based on incomplete and outdated understandings of Holland’s contributions. For many, the theory is viewed as a simple matching model of three personality types, e.g., the three-letter SDS summary code, and the codes of occupations taken from some source, e.g., O*Net (http://online.onetcenter.org/), Occupations Finder (Holland, 2000).
One reason for the partial understanding of Holland’s theory and applications may be the result of the massive volume of research and literature that has been produced since 1957. Authors (2008) reported 1,609 reference citations from 1953–2007 in 197 different journals which make it extremely difficult to fully understand and utilize this body of work. Moreover, many articles have appeared in education journals not often read by counselors, e.g., Journal of Higher Education, Research in Higher Education, Higher Education, and the Review of Higher Education. It is no small irony that Holland’s early work was undertaken in educational settings examining students undecided about their major, adjustment to college, the nature of academic environments, and the work of the faculty within disciplines. Smart, Feldman, and Ethington (2000) recognized this gap in applying Holland’s work to higher education, and their research collaborators have published over 20 articles seeking to address it.
This article focuses on how college students struggle with varied educational decisions, e.g., undecided about their college major, and then examines the ways in which Holland’s RIASEC theory might be used in educational interventions. We begin with a review of Holland’s theory with respect to personality and environment, and then describe several practical tools based on the theory that might be used in educational counseling.
Holland’s typological theory (Holland, 1997) specifies a theoretical connection between personality and environment that makes it possible to use the same RIASEC classification system for both. Many inventories and career assessment tools use the typology to enable individuals to categorize their interests and personal characteristics in terms of combinations of the six types: Realistic (R), Investigative (I), Artistic (A), Social (S), Enterprising (E), or Conventional (C). These six types are briefly defined in relation to educational options in Table 1.
According to RIASEC theory, if a person and an environment have the same or similar codes, e.g., an Investigative person in an Investigative environment, then the person will likely be satisfied and persist in that environment (Holland, 1997). This satisfaction will result from individuals being able to express their personality in an environment that is supportive and includes other persons who have the same or similar personality traits. It should be noted that neither people nor environments are exclusively one type, but rather combinations of all six types. Their dominant type is an approximation of an ideal, modal type.
The profile of the six types can be described in terms of a number of secondary constructs, e.g., the degree of differentiation (flat or uneven profile), consistency (level of similarity of interests or characteristics on the RIASEC hexagon for the first two letters of a three-letter Holland code), or identity (stability characteristics of the type). Each of these factors moderates predictions about the behavior related to the congruence level between a person and an environment. These secondary constructs provide an in-depth schema for understanding a person’s SDS results with diagnostic implications regarding the amount of counselor involvement and skill that may be needed for an intervention (Reardon & Lenz, 1999). Given extended discussion of these ideas in other literature (Reardon & Lenz, 1998), we will not focus on them here but concentrate our attention on the environmental aspects of RIASEC theory in education.
While the personality aspects of Holland’s theory are widely known, the environmental aspects—especially of college campuses, fields of study, and work positions—are less well understood and appreciated (Gottfredson & Holland, 1996). Holland’s early efforts with the National Merit Scholarship Corporation (NMSC) and the American College Testing Program enabled him to look at colleges and academic disciplines as environments. It is important to note that RIASEC theory had its roots in higher education and later focused on occupations.
Gottfredson and Richards (1999) traced the history of Holland’s efforts to classify educational and occupational environments. Holland initially studied the numbers of incumbents in a particular environment to classify occupations or colleges in terms of RIASEC categories, but he later moved to study the characteristics of the environment independent of the persons in it. College catalogs and descriptions of academic disciplines were among the public records used to study institutional environments. Astin and Holland (1961) developed the Environmental Assessment Technique (EAT) while at the NMSC as a method for measuring college RIASEC environments.
Smart et al. (2000) presented evidence concerning the way academic departments socialize students. They reported that “faculty members in different clusters of academic disciplines create distinctly different academic environments as a consequence of their preference for alternative goals for undergraduate education, their emphasis on alternative teaching goals and student competencies in their respective classes, and their reliance on different approaches to classroom instruction and ways of interacting with students inside and outside their classes” (p. 238). Furthermore, these environments “have a strong socializing influence on change and the stability of students’ abilities and interests—that is, what students do and do not learn or acquire as a consequence of their collegiate experiences” (p. 238). Smart et al. noted that faculty in Investigative, Artistic, Social, and Enterprising disciplines create academic environments in a manner consistent with Holland’s theory, and “the degree to which academic environments are ‘successful’ in their efforts to socialize students to their respective patterns of abilities and interests thus appears to differ considerably, with Artistic and Investigative environments being the most ‘successful’ and the Social and Enterprising environments being less ‘successful’” (p. 146).
These findings suggest that students might best view academic programs in terms of the IASE schema and focus on the kinds of abilities and interests they wish to develop while in college. Such understandings and goal setting could be explored in educational counseling.
Finally, Tracey and Darcy (2002) reported that college students without an intuitive RIASEC schema for organizing information about interests and occupations experience greater career indecision. This finding suggests that the RIASEC hexagon may have a normative benefit regarding the classification of occupations and fields of study. There is increasing evidence that a RIASEC cognitive structure is associated with positive career decision variables (Tracey, 2008). Persons adhering to this structure had stronger career certainty, interest-occupation congruence, and career decision-making self-efficacy at the beginning of a career course than those not using the RIASEC structure. Moreover, teaching this structure in a career course led to increased certainty, congruence, and self-efficacy at the end of the course for those adhering to the model.
Using RIASEC Theory in Educational Counseling
In this section, we discuss the five basic educational counseling functions identified by Hutson (1958), and how Holland’s RIASEC theory might inform this practice. To address these five problems in educational counseling from a RIASEC perspective, it would be important for the counselor to have a basic understanding of Holland’s theory (Holland, 1997). The client might complete the Self-Directed Search (Holland, 1994) and review the Occupations Finder (Holland, 2000), Educational Opportunities Finder (Rosen, Holmberg, & Holland, 1997), and You and Your Career (Holland, 1994) booklets. These materials operationalize and explain the theory in client terms. Armed with this basic information and these tools, the counselor and client can enter into a collaborative relationship to resolve educational problems and make educational decisions.
Choosing a College or School
The number of options for education and training is very large. Choices Planner (Bridges, 2009) was examined for one state and 196 postsecondary schools offering associate, bachelors, and professional (postgraduate) degrees were found. The Choices system makes it possible to use varied criteria for selecting among these options, including five school types, (e.g., public, private), specific miles from a designated ZIP postal code, six regions of the state, five campus or town settings of the school, eight tuition ranges, five affiliations (e.g., women, religious), on-campus housing, and over 30 sports options for men or women. If the student wanted to explore options in additional states the number of options would grow exponentially.
The array of postsecondary schools has very limited options for Realistic and Conventional types, which led Smart et al. (2000) to exclude these areas from their study of baccalaureate level colleges and universities. College level occupations are least frequently associated with the Conventional and Realistic categories, while Investigative and Artistic work are most likely associated with college level employment or the highest level of cognitive ability. Smart et al. found few college majors, faculty, or students in their samples categorized as Realistic or Conventional.
Taking this a step further, the number of associate, bachelors, and professional academic programs listed in the Educational Opportunities Finder (EOF; Rosen et al., 1997) were tabulated in relation to RIASEC categories. Of the 750 postsecondary programs of study listed in the EOF, there were 296 offered at the associate level, 492 at the bachelor’s level, and 645 at the professional level. Because some programs are offered at more than one degree level, the resulting total degree programs listed in the EOF number 1,517. Inspection of Figure 1 shows proportionally more Realistic and Conventional programs are available at the associate degree level in comparison to the other two degrees. Conversely, more professional degrees are offered in the IAS categories. This suggests that vocational technical schools and community colleges would be the types of schools most likely offering programs in these two areas. In this way, RIASEC theory could be used to guide selection of a school.
Authors (1996) documented this phenomenon in their research and reported that the student body at their postsecondary institution was composed predominately of S, E, and I types, creating an SEI-type school. They reported 153 fields of study at the university enrolled 10,439 students with declared majors in the following categories: R, 5%; I, 19%; A, 13%; S, 34%; E, 19%; and C, 10%. This suggests a student body with a profile of SEIACR. Such a student population would find C and R types in a minority.
RIASEC theory can inform the process of choosing a college by providing a conceptual schema of six environments and judging the priority and influence of each in socializing enrolled students. Students with E-type personalities (e.g., interests and skills) might have the best fit in a school that reinforced and prized those traits, and the same would be true for the remaining RIASC environments. In the following sections we will explain more how the environmental aspect of RIASEC theory may be used in educational counseling.
Selecting an Academic Program or Major
The Choices Planner (Bridges, 2009) lists over 780 specific academic programs or fields of study (majors) for students for the selected state. Large universities may have several hundred undergraduate majors and this can be overwhelming to students required to pick one field. Holland’s RIASEC schema can help to make the process of exploring and selecting options less daunting. This section describes some ways this might happen.
First, when students understand the basic elements of RIASEC theory they are armed with a schema for categorizing a great amount of academic information. Table 1 illustrates the operation of this schema in practical terms. Students intent on pursuing a bachelor’s degree can be informed that most college fields of study or disciplines are concentrated in Holland’s Investigative, Artistic, Social, and Enterprising areas (Smart et al., 2000), which reduces hundreds of options to four areas.
Second, the research by Smart et al. (2000) of bachelor’s programs was based on the idea that “faculty create academic environments inclined to require, reinforce, and reward the distinctive patterns of abilities and interests of students in a manner consistent with Holland’s theory” (p. 96). Moreover, “students are not passive participants in the search for academic majors and careers; rather, they actively search for and select academic environments that encourage them to develop further their characteristic interests and abilities and to enter (and be successful in) their chosen career fields” (p. 52). This is an important idea because it puts the power of informed choice in the hands of students as they explore educational options. They can actively select the type of environment in which they desire to spend their time and in which they wish to learn while in college.
Third, Smart et al. (2000) described primary and secondary recruits entering bachelor’s level academic programs. Primary recruits were freshmen entering disciplines directly from secondary school (discussed in this section) and secondary recruits (discussed in the next section) were those who changed their minds after entering college. Based on their research, Smart et al. found that two-thirds of freshmen (primary recruits) initially selected majors in the Social area and remained in that area over four years, while only slightly more than half of the students in the Enterprising area persisted in that area over four years. Students in the Artistic and Investigative areas both persisted over four years at 64%. Overall, about two-thirds of freshmen (primary recruits) persisted in one of the four disciplines initially selected and about 30% changed to another area.
The information gleaned from research by Smart and his colleagues of bachelor’s level programs can help inoculate students for relief of some of the anxiety regarding the selection of an academic program. Rather than simply focusing on the occupations related to a major in making a choice, students can focus on the nature and characteristics of the IASE environments and prioritize them according to their goals, interests, values, and skills. These understandings would also help students search for information about academic programs that provide details about whether or not the way life in the program is consistent or inconsistent with the theoretical RIASEC environment characteristics, e.g., student relationships with professors, classroom activities, nature of learning projects, leadership styles favored.
Adjusting to the College or Academic Program
Faculty in IASE disciplines create specialized academic environments that are shared by the students selecting these majors. The variability in the socialization styles and the effects of the environments on student behaviors and thinking were described by Smart et al. (2000) and are summarized below. Increased understanding of these environmental characteristics is important in educational counseling and for student decisions about preferred fields of study.
Faculty in Investigative environments place primary attention on developing analytical, mathematical, and scientific competencies, with little attention given to character and career development. They rely more than other faculty on formal and structured teaching and learning, they are subject-matter centered, and they have specific course requirements. They focus on examinations and grades. This environment has the highest percentage of primary recruits (e.g., students select it as freshmen).
Faculty in Artistic environments focus on aesthetics and with an emphasis on emotions, sensations, and the mind. The curriculum stresses learning about literature and the arts, as well as becoming a creative thinker. Faculty also emphasize character development, along with student freedom and independence in learning.
Varied instructional strategies are used in these disciplines.
Faculty in Social environments have a strong community orientation characterized by friendliness and warmth. Like the Artistic environment, faculty place value on developing a historical perspective of the field and an emphasis on student values and character development. Unlike the Artistic environment, faculty also place value on humanitarian, teaching, and interpersonal competencies. Colleagueship and student independence and freedom are supported, and informal small group teaching is employed.
The Enterprising environment has a strong orientation to career preparation and status acquisition. Faculty focus on leadership development, the development and use of social power to attain career goals, and striving for common indicators of organizational and career success. Teaching strategies in this environment are very balanced, but faculty like most to work with career-oriented students regarding specialized issues related to organizational and individual achievement.
Once an academic program is selected as a major field of study and the student begins to interact with other students and faculty in the program, more information of a personal nature is acquired which can lead to adjustments that the student will need to make to excel in that environment. For example, when Smart et al. (2000) examined college environments (the percentage of seniors in each of the IASE areas), they found that from 30–50% of the four environments were composed of primary recruits and about half were secondary recruits, e.g., the seniors who had changed their majors. This means that almost half the seniors ended up in an IASE discipline that was different from their initial choice.
Students migrated to and from the four environments in different ways. For example, two-thirds of the seniors in the Artistic environment were secondary recruits from one of the other areas; they did not intend to major in the Artistic area in their freshman year. In addition, about one third of the students migrating into the Social area came from Investigative, Enterprising, or undecided areas. Stated another way, the Social environments appear to be the most accepting and least demanding of the four environments studied by Smart et al. (2000) and Social disciplines seem to have the least impact and the least gains in related interests and abilities. Students moving into the Investigative area were most likely to come from the Enterprising area, and vice versa.
These findings (Smart et al., 2000) reveal the fluid nature of students’ major selections and the heterogeneous nature of the four environments with respect to the students’ initial major preferences. They also provide information regarding the migration of students among the IASE disciplines, and this can inform educational planning for students and counselors about the way in which these four disciplines interact with different types of students.
In summary, Smart et al. (2000) found that congruent students in Investigative, Artistic, and Enterprising environments increased their pattern of self-reported interests and abilities over four years by further developing what was already present in their personality. These three environments also increased the related traits for incongruent students, but the gap between the congruent and incongruent students did not decrease over time. In other words, students in both congruent and incongruent environments made equivalent or parallel changes in self-reported abilities and interests over four years, but students in congruent environments had higher levels of interests and abilities at the end of four years. Investigative and Enterprising environments had the most impact on student characteristics. These findings, if communicated to students in educational counseling, could affect the nature of discussions about students’ educational goals in college.
Assessing Academic Performance
Early in his career, Holland (1957) began to discuss the impact of college on students and how varied personality traits and beliefs other than aptitude were associated with success. Gottfredson (1999) noted that Holland’s early research demonstrated that much of the output from the college experience was related to what students brought into that experience. According to Gottfredson, Holland promoted the idea that college selection practices relying heavily on measures of academic potential resulted in much lost talent, e.g., selection of the top 10% of high school students based only on grades would exclude about 86% of high school class presidents (Enterprising types). The idea that noncognitive traits (e.g., RIASEC personality types) would be important in assessing academic performance is a noteworthy contribution of Holland’s theorizing and research.
Academic success is sometimes measured in terms of persistence on the part of the student or retention on the part of the institution. Other immediate outcome measures might include the grade point average, student satisfaction, awards received, or engagement in program activities, while longer term outcomes might include professional accomplishments, contributions, and recognitions. It should be noted that while all academic programs require cognitive skill and ability, some programs further emphasize interests and abilities related to the RIASEC areas identified in Table 1. These could include creativity, leadership, community service, and the like.
According to RIASEC theory, students in an environment that is highly congruent or matches with their personality will persist in that environment and achieve awards and recognition from the environment. In the process of educational counseling, students should have opportunities to clarify what it means to be in, or move to or out of, an environment that either matches their type or provides an opportunity to develop desired skills and interests. Their achievements and satisfaction would theoretically be related to the quality of the match between their personality and the environmental characteristics.
Connecting Education to Career and Life
Holland’s RIASEC theory provides a relatively simple, effective scheme for thinking about people (e.g., personalities, traits, interests, values, behaviors, attitudes) and their options (e.g., educational programs, occupations, work organizations, leisure activities). Conceptualizing people and options in these six areas can improve personal and career decision making.
Several examples of this strategy are apparent. For example, when students conduct information interviews they might structure questions and make observations about the degree to which the various RIASEC codes are prevalent in the life of the interviewee or characterize the organizational setting. In considering job offers, students might use the RIASEC schema to assess the quality of the fit between their personality and the culture of the organization, or more particularly, the personality of their immediate supervisor.
The UMaps project at the University of Maryland is a good example of applying RIASEC theory to life/career options (Jacoby, Rue, & Allen, 1984). The UMaps program operated out of the Office of Commuter Affairs in the Division of Student Affairs and was designed to help students become aware of diverse campus opportunities, options, and resources related to RIASEC types. Using both large posters displayed on bulletin boards and brochures distributed by advisors, each of the six RIASEC UMaps had a standard layout including areas of study (with office locations and phone numbers), sample career possibilities, internship and volunteer options, and student organizations and activities related to each type. Each map also had a brief description of the RIASEC type and a brief self-assessment related to interests and skills.
As reported earlier, Reardon, Lenz, and Strausberger (1996) used an earlier version of the Educational Opportunities Finder (Rosen et al., 1997) to classify all of the majors at a large university, and then used these data to assess the types of students seeking services in the career center and to design appropriate interventions. For example, it was judged that Realistic and Investigative students might prefer independent career planning using a computer-assisted guidance system, e.g., Choices Planner, rather than an individual counseling session.
Descriptive information about college majors could include the kinds of information summarized by Smart et al. (2000) about course structures, learning style expectations, faculty interests and activities, and program objectives. Other student information materials could list volunteer experiences related to the discipline (if any), introductory classes, sample employment opportunities, and profiles of graduates. Brochures and other descriptive information used in academic advising and educational counseling could be indexed or include information about Holland codes. These examples illustrate the ways in which RIASEC theory applied in educational counseling might be extended to broader life and career decisions.
Summary and Implications
This article illustrates how the educational counseling function has become estranged or lost in traditional counseling practice in secondary and postsecondary settings. While educational counseling can be viewed as distinctive from mental health counseling and/or career counseling, modern career theories can inform the practice of educational counseling for the benefit of students and schools. Holland’s RIASEC career theory, especially the extensive research on educational environments conducted by Smart and his associates (2000) and reported in more than six different journals, was used to illustrate this idea.
Educational counselors using RIASEC theory need to be fully informed about the theory, the research that supports it, the instruments that are based upon it, and the counseling techniques that could be derived from it. Such theory-driven practice might represent a new paradigm in educational counseling. Holland’s (1997) theory, like other career theories, has the most power when the extremes of wealth, social class, genetic traits, and health are not in effect. In other words, career theory probably works best in educational counseling for students in general rather than those at the extremes of any personal trait or situation.
RIASEC theory can be useful in educational counseling by specifying the kinds of conditions and traits associated with difficulties in educational decision making. Authors (1998, 1999) and Holland, Gottfredson, and Nafziger (1975) indicated that persons with poor diagnostic signs on the Self-Directed Search, e.g., lack of congruence between expressed and assessed summary codes, low differentiation, low consistency, low coherence among aspirations, low profile elevation, and a high point code in the Realistic or Conventional area, were likely candidates for more intensive counseling interventions. This is a special province of educational counselors because of their professional counselor training as opposed to the standard training for academic advisors or coaches. Students with high Artistic codes also may be problematic because of their preference for a non-rational approach to decision making (Holland et al., 1975). Persons with such diagnostic signs will likely need more time and professional, individualized counselor assistance in career problem solving and decision making.
Smart et al.’s (2000) research reveals some of the variations in academic departments and suggests implications for college and university organizational systems. It is important for counselors and other staff to inform students about the impact of majors and academic disciplines on the development of student interests and skills. At present, advisors make students aware of many aspects of a major, e.g., required courses, prerequisites, entrance requirements, and the occupations most closely aligned with the major. Providing additional information based on the research findings by Smart et al. regarding the way academic environments socialize or affect students pursuing that major will make students better “consumers” of majors or “shoppers” of academic programs.
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Robert C. Reardon, NCC, is Professor Emeritus and Sara C. Bertoch, NCC, is a career advisor, both at the Career Center at Florida State University. Correspondence can be addressed to Robert C. Reardon, Florida State University Career Center,
PO Box 3064162, Tallahassee, FL, 32306, firstname.lastname@example.org.