Educational Research Scientist

2 weeks ago


Cambridge, Massachusetts, United States Society for Learning Analytics Research Full time

Position Overview:
The Society for Learning Analytics Research is seeking a dedicated Educational Research Scientist to join our innovative team. This role focuses on exploring effective learning methodologies and enhancing educational experiences through technology integration.

Key Responsibilities:
As a vital member of our collaborative research team, you will:

  • Engage in both the design and evaluation of educational environments and experiences.
  • Collaborate with a diverse group of professionals, including designers, developers, and fellow researchers, on pioneering projects aimed at improving K-12 education.
  • Lead the development and refinement of AI-driven educational tools and curricula.
  • Contribute to NSF-funded projects focused on AI education, including preparing educators to implement AI concepts in middle school settings.
  • Measure the impact of professional development on teacher practices and student learning outcomes.

Essential Functions:
The role encompasses a dual focus on AI education design and educational research, including:

  • Co-leading studies utilizing qualitative, quantitative, and design-based research methodologies.
  • Coordinating project activities in collaboration with principal investigators and project managers.
  • Planning and executing educational initiatives with partner organizations and school districts.
  • Creating and adapting curricula, professional development programs, and research instruments.
  • Teaching AI concepts to both educators and students.
  • Defining and capturing relevant data from learning activities.
  • Collecting, organizing, and analyzing data from various sources, including interviews and observations.
  • Publishing findings in scholarly and practitioner communities.

Qualifications:
Required:
Applicants must possess an earned doctorate in learning sciences, education, social science, or a related discipline. Candidates should demonstrate broad expertise in qualitative, quantitative, and design-based research methods, with a strong emphasis on at least one methodological approach. A proven track record of impactful publications and a commitment to advancing equity in education through enhanced professional learning experiences are essential. Familiarity with AI and machine learning is also required.

Preferred:
Three to five years of research experience, particularly in computer science education and computational thinking, is preferred. Experience in designing interventions for AI education and developing assessments for student learning in K-12 settings is advantageous. Technical skills in AI, data science, and programming are also beneficial.


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