Highlights of the METALS Program
- 11 courses, 12 month program.
- Culminates in a seven-month team-based capstone project for an external client.
- Emerge as an educational technology designer, developer, consultant, entrepreneur, policy maker or evaluator
- Interdisciplinary program jointly taught by the Human-Computer Interaction Institute in the School of Computer Science and the Psychology Department in the Dietrich College of Humanities and Social Sciences.
- Diverse faculty members with backgrounds in learning sciences, human-computer interaction, psychology, design and computer science.
About the Program
The professional Masters of Educational Technology and Applied Learning Science (METALS) offers students with experience or interest in psychology, education, computer science, information technology, business or design the opportunity to improve their training with advanced study in educational technology and applied learning science. METALS students gain the knowledge, skills and techniques necessary to develop and evaluate programs in learning settings that range from schools to workplaces, museums to computer-based environments — as well as other formal, informal and non-traditional educational settings. The program integrates fundamental skills with project-based studio classes, culminating in a final seven month capstone project with an external client. Learn about an example capstone project:
- METALS Prime explores the value of educator communities and designed a tool or environment that facilitates collaborative, transformative learning among teachers.
Program graduates take key positions in corporations and private and public universities and schools. They become designers, developers and evaluators of educational technologies and learning environments, as well as domain experts, learning technology policy-makers and even chief learning officers. See where our alumni are now.
Upon completion of the METALS program, graduates will:
- Design, develop and implement advanced educational solutions that make use of state-of-the-art technologies and methods such as artificial intelligence, machine learning, language technologies, intelligent tutoring systems, educational data mining and tangible interfaces.
- Understand how these technologies can be applied to engineer and implement innovative and effective educational solutions.
- Understand cognitive and social psychology principles relevant to research-informed instructional design.
- Possess the instructional and interaction design skills needed to create solutions that not only enhance learning, but are also desirable.
- Understand the role of and have skills in using psychometric and educational data mining methods in evaluating and improving educational solutions.
- Develop continual improvement programs that employ in vivo experiments and educational data mining to reliably identify best practices and opportunities for change.
METALS is an interdisciplinary program taught jointly by the Human-Computer Interaction Institute in the School of Computer Science and the Psychology Department in the Dietrich College of Humanities and Social Sciences. It is also part of the recently announced Simon Initiative at Carnegie Mellon University. The curriculum is an outgrowth of the extensive research conducted by the National Science Foundation’s Science of Learning Center, LearnLab, in which:
Carnegie Mellon is known by the software and technical industries for its interdisciplinary nature, rigor and deep knowledge in learning science, human-computer interaction, psychology, design and computer science. This is a two-year masters degree set into a 12-month duration. During the first and second semesters, students learn core knowledge and skills through courses in learning principles, technology design and implementation, as well as courses chosen from a range of electives. During their second and third semesters, students participate in a substantial industry capstone project with an external client.
This program is distinct from the Learning Science track in the HCII PhD program and is not designed as a feeder to that program.