Building Leadership Capacity Through Cognitive Learning Theory

Introduction to Cognitive Resource Theory

Fiedler developed Cognitive Resource Theory (CRT) and wrote about it in a series of articles, two of which are reviewed here. The theory assumes that intelligence, experience, and other cognitive resources create leadership success. When cognitive capabilities alone are insufficient to predict leadership success, other abilities must be brought into play. Stress also impacts decision-making abilities (Fiedler, 1986, p. 1).

Cognitive Resource Theory proposes four key principles:

Key Principles of CRT and Leadership Behavior

1. A leader's cognitive ability contributes to team performance only when the leader's approach is directive. Leaders need the knowledge and skills that other team members do not have. When they know more, they need to be able to direct people rather than simply ask team members and hope they agree. When they know less than others on the team, they need to be non-directive, facilitating an open forum where others may contribute and the best ideas are implemented (Fiedler, 1986, p. 1).

2. Stress affects the relationship between intelligence and decision quality. Low stress allows intelligence to be fully functional and contribute optimally. However, in high-stress situations, natural intelligence can have a negative effect: an intelligent person looks for rational solutions when what is needed are "instinct" or "gut reactions" to make decisions—an unfamiliar approach for those who habitually seek reasoned solutions. Another reason intelligence is not helpful under high stress is that the leader often wants to deliberate, which leaves the group to make instantaneous decisions (Fiedler, 1986, p. 2).

3. Experience is positively related to decision quality under high stress. In high-stress situations, when intelligence is impaired, experience with similar circumstances may help a leader react appropriately without extensive deliberation. Experience with decisions made under stress contributes to better decision-making overall (Fiedler, 1986, p. 3).

4. For simple tasks, a leader's intelligence and experience are largely irrelevant. Assigning subordinates simple tasks without direction or support is itself an indicator of leadership quality, since such decisions are straightforward for subordinates to make without further support (Fiedler, 1986, p. 4).

Cognitive Resource Theory arose out of dissatisfaction with Trait Theory. Fiedler linked CRT with his Least Preferred Co-worker (LPC) Theory and suggested that high LPC scores drive directive behavior. One important finding from CRT research is that intelligence aids the group in low-stress situations, while experience matters most during high-stress periods (Fiedler, 1987).

Professional Development and Adult Learning

Dr. Paul Gade's presentation to the Department of the Navy Human Capital Strategy, entitled "Cognitive and Neural Sciences Basic Research: Harnessing Talent for Complex Environments Workshop," draws heavily on cognitive resource theories. He emphasizes recognizing aptitude and abilities and encourages developing creativity-based measures of adaptability and flexibility. Leadership development in teams requires flexibility, he argues, stating that leaders are a product of an organization or unit's norms, routines, and role definitions, and that learning and orientation are key for leaders. He proposes learning through adaptive simulation training, since virtual simulations are easily modified with new tools, models, and methods—and because experience is critical for leaders (Gade, pp. 2–6).

In line with cognitive training principles, Speck's best practices for professional development designed for educators were outlined in his 1996 article in ERS Spectrum. He states that "adults will commit to learning when the goals and objectives are considered realistic and important to them. Application in the real world is important and relevant to the adult learner's personal and professional needs." He further notes that adults resist learning things they perceive as an attack on their competence; they need to control how, where, when, and what they learn, understand its relevance to their needs, and know how to apply it to their work. Peer support and learning teams reduce the "judgmental" aspect of acquiring new knowledge. Adults also need feedback on their progress and opportunities to practice what they are learning, so that understanding can move into application. This process is difficult for adults, and follow-up on the application of new learning may be necessary (Speck, pp. 36–37).

Ann Lieberman (1996) offers an informative perspective on what professional development truly means. As she points out, almost all teachers are required to rethink their roles, opportunities, or responsibilities regularly. Because a school's success depends on the quality of its teachers, their advancing knowledge and skills lead to higher standards. As technology, practices, and approaches change and improve, professional development strategies within the school must also support them and provide time for teachers to learn.

Creating an ongoing learning culture is the goal of any school that wishes to improve and advance. Teachers feel that they are improving individually while working within a flexible, inspirational group that fosters new ideas and accepts change. While education may also be obtained from outside classes and brought into the culture, new and challenging requirements demand the development of knowledge and skills within the group itself.

Lieberman mentions networks of specific teacher groups that carry their own agendas: these networks unite teachers around shared causes and provide opportunities that individual schools cannot offer. Partnerships between schools are also promoted, allowing institutions to share ideas, expertise, and resources. Lieberman additionally encourages teachers and schools to engage with national, state, and local reforms in education. The article concludes with the concept that "success hinges on the extent to which teachers change their roles, responsibilities and practices to be more effective" and the degree to which they are supported by their leaders and programs (Lieberman, p. 7).

Marcia Conner, in a white paper presented by WAVE Technologies, argues that lifelong learning is the critical tool for the information age. Adults cannot stop learning at a certain point and expect to keep pace with information, whether they are leaders or instructors. While the information age was expected to bring more leisure, adults have instead found that they must use any spare time to keep up with the constant flow of new knowledge. Learning how to learn is the central challenge adults face. In order to enter the knowledge age, one must learn how to strengthen the brain so as to find new ways to gain information. "Adults spend more time making new arrangements than forming new sequences," says Conner (Conner, p. 7).

Conclusion and References

This review of cognitive resource theory and adult learning literature highlights that intelligence, experience, stress, and psychological orientation all interact to shape effective leadership and learning outcomes. From Fiedler's foundational propositions to Mezirow's transformational learning and Brookfield's ideological critique, the scholarship collectively affirms that building leadership capacity requires ongoing, reflective, and contextually sensitive learning strategies.