December 18, 2012
The inaugural class of students in the Learning Science and Engineering program will begin in fall 2013. Applications are due Jan. 31, 2013.
Graduates of the LSE master's program will be ready to assume key positions in schools, universities and corporations. These positions include designers, developers and evaluators of educational technologies and learning environments, as well as domain experts, learning technology policy-makers and Chief Learning Officers.
The interdisciplinary program is designed for individuals with a background in psychology, education, computer science, design, information technology or business. Through case studies and real-world applications, students will learn to engineer and implement innovative educational solutions employing "in vivo" experiments and educational data mining techniques. They will learn how to develop continual improvement programs that identify best practices as well as opportunities for change. Students will gain depth in psychometric and educational data mining methods, interaction design, cognitive and social psychology principles, design, implementation, and evaluation of educational interventions.
News Brief: HCII Launches Master's Program in Learning Science
A new one-year professional master's program in the Human-Computer Interaction Institute will train graduates to apply evidence-based learning science research in re-examining the goals of education and in designing educational technology.The inaugural class of students in the Learning Science and Engineering program will begin in fall 2013. Applications are due Jan. 31, 2013.
Graduates of the LSE master's program will be ready to assume key positions in schools, universities and corporations. These positions include designers, developers and evaluators of educational technologies and learning environments, as well as domain experts, learning technology policy-makers and Chief Learning Officers.
The interdisciplinary program is designed for individuals with a background in psychology, education, computer science, design, information technology or business. Through case studies and real-world applications, students will learn to engineer and implement innovative educational solutions employing "in vivo" experiments and educational data mining techniques. They will learn how to develop continual improvement programs that identify best practices as well as opportunities for change. Students will gain depth in psychometric and educational data mining methods, interaction design, cognitive and social psychology principles, design, implementation, and evaluation of educational interventions.