New chapter published which focusses on problem solving research and current requirements in psychology curricula: data science, Internet of things, network analyses, and artificial intelligence.
Gibson, D. C., Ifenthaler, D., & Greiff, S. (2022). Teaching of general psychology: Problem solving. In J. Zumbach, D. Bernstein, S. Narciss, & G. Marsico (Eds.), International handbook of psychology learning and teaching (pp. 1–19). Springer. https://doi.org/10.1007/978-3-030-26248-8_8-1
This chapter defines problem solving and its research history. In addition to this, it introduces data science approaches to research on problem solving for psychology students, educators, and researchers. The chapter describes four new core content and topical areas on the immediate horizon: data science, Internet of things, network analyses, and artificial intelligence. The chapter elucidates implications for data science education in general psychology, focusing on research in problem solving and on how problem solving can be taught in higher education.