Working at MIT offers opportunities, an environment, a culture - and benefits - that just aren't found together anywhere else. If you're curious, motivated, want to be part of a unique community, and help shape the future - then take a look at this opportunity.
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DIGITAL LEARNING SPECIALIST , Center for Transportation & Logistics- MicroMasters Program in Supply Chain Management (2 openings), to lead the running of one or more of the five massive open online courses (MOOCs) that comprise the MicroMasters program. Responsibilities include contributing to course revamping and management; managing course materials; using Python, design, build, and optimize learner assessment tools; overseeing and managing live courses, including learner communication, performance tracking, and online exam administration; leading teaching assistants to facilitate discussions in live course forums; organizing and running online webinars and planning and managing live exams using online proctoring technology; and conducting data analysis, proposing course improvements, and supporting other educational/research activities.
Job Requirements REQUIRED : bachelor's degree in supply chain management, engineering, computer science, or related field; three years' relevant experience in supply chain management and/or higher education; excellent organizational, and communication skills; attention to detail; ability to manage multiple priorities and meet deadlines while delivering high-quality results, conduct live webinars, work independently, and build strong working relationships with teammates/faculty/staff in a rapidly changing platform/environment; and proficiency with MS Office Word, Excel, Tableau, and Outlook. PREFERRED : master's in supply chain management, industrial engineering, or related discipline that includes domain-specific knowledge of digital learning, learning analytics, and educational data mining; SCM MicroMasters holders; STEM teaching experience in higher education and proficiency evaluating the effectiveness of learning materials and academic assessment; strong problem-solving/debugging skills; working knowledge of/familiarity with statistical software and analytics tools to analyze big data sets; working knowledge of Python; proficiency with BigQuery and web-based tools; experience with HTML and LaTeX; and interest in educational technology, digital teaching/learning in higher education, producing educational content, academic assessment methodologies, and delivering online educational programs. Job #19941-8
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