Why I-O Psychology should be included in Introductory Psychology
Industrial-Organizational Psychology has become the fastest growing field in psychology. Yet, chances are your Introductory Psychology course doesn’t cover it. While there are a multitude of reasons I-O isn’t typically covered in Introductory Psychology courses (not in textbook/curriculum, lack of time, etc.), one big reason is that instructors don’t necessarily consider it a “foundational component” of general psychology.
Extra-Credit Question, Skills Employers Seek and more in the News Roundup
A Case for Data Science in Psychology
Much like a crock pot used to cook large meals with minimal effort, data science can be used to improve efficiency, quality, and edibility of your products. Automation, simple algorithms, and machine learning (i.e. using data to create predictive models) are all tools that can be utilized to increase efficiency and accuracy and reduce costs, while visualization techniques help to communicate your analyses clearly and in an easy to digest way.
Applying the Science of Learning, Surviving School Shootings, and more in the News Roundup
Defending the major: Exploiting the workforce advantage of the psychology degree
Although the vast majority of students who declare majors in psychology claim that they aspire to continue their education in graduate school, the reality is that most psychology graduates will instead enter the workforce. The Center for Workforce Studies of the American Psychological Association estimates that approximately 73 percent of psychology majors will end up using the knowledge and skills they acquired in some kind of workforce job after graduation (Lin & Stamm, 2018).
Trigger Warnings, Stigma in the Classroom and more in the News Roundup
What Goes Into the Development of Greatness?
What makes someone with early potential develop that talent in a way that results in high performance or greatness?
A new volume, The Psychology of High Performance: Developing Human Potential into Domain-Specific Talent, edited by Rena F. Subotnik, Paula Olszewski-Kubilius, and Frank C. Worrell, addresses that question by examining outstanding performance across five different domains: academic disciplines (mathematics and psychology), arts production (culinary arts and drawing/painting), arts performance (dance and acting), professions (medicine, software engineering, and professional teams), and sport (golf and team sports).
Student Mental Health Concerns, Growth Mindset, and more in the News Roundup
Thinking scientifically in a changing world
Shifting people’s judgments toward the scientific involves teaching them to purposefully evaluate connections between evidence and alternative explanations.
Contemporary challenges — such as climate change, and food, energy and water security — demand that people think scientifically. These challenges are often complex and interrelated; for example, society’s increasing demand for energy contributes to human-induced climate change, which in turn, limits freshwater and food supplies (Wheeler & Von Braun, 2013). While many socio-scientific challenges are seriously impacting local, regional and global communities, an increasing availability of information has contributed to what many call a “Post-Truth Era,” where emotions and personal beliefs override scientifically valid evidence and explanations. Combating mythological and unproductive thinking in the face of current change requires increased scientific literacy, which involves knowing both what scientists know and how scientists come to know what they know.