As everyone knows, true creativity comes from simple formulas and the memorization of data. This chapter focuses on divergent thinking tests, which are still the most common way that creativity is measured. Guilford derived the core ideas behind divergent thinking as well as many popular measures. The people who score the Torrance Tests are specifically trained to distinguish responses that are truly original from those that are just bizarre. There are other tests that measure creativity, but most are either a variation on divergent thinking or use some type of raters. For example, the Evaluation of Potential Creativity (EPOC) has begun to be used in some studies and may be promising, but is still largely rooted in a mix of divergent thinking scoring and raters. Another test is the Finke Creative Invention Task, which is clever but also requires raters for scoring.

The Big Five, which this chapter discusses in more detail, are extraversion, neuroticism, agreeableness, conscientiousness, and openness to experience. Each of these five factors represents a continuum of behavior, traits, and inclinations. There are some popular personality measures that use different theories, such as Eysenck’s Personality Questionnaire, which looks at extraversion and neuroticism as well as psychoticism. The personality factor most associated with creativity is openness to experience. Indeed, one way that researchers study creativity is by giving creative personality tests. Being open to new experiences may also help creative people be more productive. King found that people who were creative and high on openness to experience were more likely to report creative accomplishments. DeYoung and S. B. Kaufman, of course, are not the only people to blend or split different factors of personality to present new models. Fürst, Ghisletta, and Lubart suggest three factors: plasticity, divergence, and convergence.

This chapter explores three ’classic’ studies of creativity and mental illness. The first is Jamison whose focus is on the connection between bipolar disorder and creativity. The second is Andreasen, who used structured interviews to analyze 30 creative writers, 30 matched controls, and first-degree relatives of each group. The writers had a higher rate of mental illness, with a particular tendency toward bipolar and other affective disorders. The third major work is Ludwig, who utilized the historiometric technique. All three studies have come under serious criticism. Many of the studies of Big-C creators are historiometric, akin to Ludwig’s work. Some such studies claim that eminent creators show higher rates of mental illness. A much more common approach is to look at everyday people and give them measures of creativity and mental health. Typically, researchers look at what are called subclinical disorders—in other words, they’re not clinically significant.

One school admissions area that already uses creativity is gifted admissions—which students are chosen to enter gifted classes, programs, or after-school activities. Both education and business play great lip service to creativity. Puccio and Cabra review the literature on creativity and organizations and do a nice job of highlighting how every couple of years, a new report from industry emphasizes the importance of creativity. It is important to note that there is a large inconsistency between gender differences on creativity tests and actual creative accomplishment. Although gender differences on creativity tests are minor or nonexistent, differences in real-world creative accomplishment are large and significant. This chapter shows how creativity can play a role in admissions and hiring. Hiring measures tend to have better validity, even the general mental ability (GMA) measures; even if minorities score lower, the accuracy of prediction is consistent by ethnicity.

Creative people are also often seen as being outsiders and eccentric. Sen and Sharma’s examination of creativity beliefs in India tested beliefs about the Four P’s and found that creativity was more likely to be described as a holistic essence of an individual, and less likely to be focused on the product or process. Romo and Alfonso studied Spanish painters and found that one of the implicit theories that the painters held about creativity involved the role of psychological disorders. Plucker and Dana found that past histories of alcohol, marijuana, and tobacco usage were not correlated with creative achievements; familial drug and alcohol use also was not significantly associated with creative accomplishments or creative personality attributes. Humphrey, McKay, Primi, and Kaufman did find that illegal drug use predicted self-reported creative behaviors even when openness to experience was controlled.

The learning landscape continues to evolve as new technological tools enable teachers to deliver robust learning experiences. It is important to help teachers, administrators, and students know where to begin so that the transition to virtual learning is smooth, without educational loss. This chapter consists of two sections: current trends and issues in technology integration and technological pedagogical content knowledge. The first section briefly reviews the trends in instructional or educational technologies that are causing administrators, teachers, and students to reflect on and modify their thinking about learning and educational content delivery. The second section explores constructivism, the scientific underpinnings of nursing informatics, and ethics. Nurse educators must also address the ethical challenges brought about by this evolving learning landscape. After reading this chapter, one can understand current trends and issues, as well as the influence of nursing informatics and ways to approach new ethical dilemmas.

Healthcare is in a state of rapid change. Although practice environments have become more complex, educational delivery methods have remained stagnant. Innovative technologies provide opportunities to enhance nursing student learning and help nursing programs become more responsive to changes in the practice environment; however, obstacles may hinder successful implementation. With the increasing complexity of today’s health care environment, innovations in nursing curricula are necessary. This chapter explores some of the general challenges associated with the integration of innovative educational technologies, as well as some challenges unique to virtual simulation. It helps the reader to analyze the challenges of integrating educational technologies into nursing education associated with faculty, administrators, and students. It also helps the reader to examine practical and philosophical barriers related to technology integration and explores challenges unique to the adoption of virtual simulation.

Simulation has many advantages for nursing education, some of which include creating safe learning environments for students and reinforcing information learned in the classroom; it also has the advantage of being available in inclement weather as well as 24 hours a day for student access. Simulation in nursing is one of many methods used for teaching students. Teaching and learning in a virtual learning environment has many advantages for administrators, faculty, and students. One of the advantages includes the use of other disciplines to help create or participate in a virtual world learning experience. The virtual learning environment can be created to look similar to real communities, disaster areas, or homes, with avatars populating that environment. The advantage to using virtual reality, rather than a real-life experience, is that in real life, students could be immersed in an environment that could cause them harm.

One of the best known psychologists of the 20th century was Jean Piaget. The memory he described was from when he was about 2 years old, a kidnapping attempt in which his nurse tried to protect him. According to the storehouse metaphor, memory is kind of a warehouse. When one remembers an event from one’s life, one looks through this warehouse. Remembering a past event is also a kind of simulation, a simulation of what happened in the past, rather than a veridical reproduction of the past. In fact, our best understanding is that brains are massively parallel simulation devices. Constructive theories deal with filling in gaps at encoding as the event transpires, whereas reconstructive theories deal with filling in gaps at retrieval as one tries to remember the event. When thinking about memory illusions it is important to make a similar distinction.