- MICHAEL BETT
- Managing Director, PSLC
- METALS Program Director
Professional Masters in Educational Technology and Applied Learning Science (METALS)
Come learn more about Carnegie Mellon's Professional Masters in Educational Technology and Applied Learning Science (METALS). This one-year interdisciplinary masters jointly taught by the Human Computer Interaction Institute and the Psychology Department is designed for individuals with backgrounds in psychology, education, computer science, design, information technology, and business. It trains students to design, develop and evaluate evidenced-based programs for learning in settings that range from schools to homes, workplaces to museums, and online to offline learning environments.
Students who complete the program will challenge the future of learning by re-examining the goals of education and assessment and making innovative change. Through case studies and confronting real world problems, students will learn to engineer and implement effective educational solutions. Student will employ "in vivo" experiments and educational data mining techniques and be trained in how to develop continuous improvement programs that reliably identify both best practices and opportunities for change. Students will gain expertise in psychometric and educational data mining methods, interaction design, cognitive and social psychology principles, design, implementation, and evaluation of educational interventions.
Graduates of the program are expected to become leaders in the educational technology revolution. They will be prepared to take key positions in corporations, universities and schools as designers, developers, and evaluators of educational technologies as well as learning engineers, curriculum developers, learning technology policy-makers, and even chief learning officers. Students with backgrounds in psychology, education, computer science, design, information technology, or business are encouraged to apply.
The application and more information about this exciting program can be found at http://www.metals.cs.cmu.edu.