We are looking for a postdoctoral fellow to work on a new research project aimed at creating a comprehensive platform for authoring and running adaptive online courses. The goal of the authoring environment is to personalize instruction (e.g., with recommendations or other forms of guidance) according to learners' prior knowledge, knowledge growth, interests, and other factors. Our initial strategy will be to integrate CMU's Open Learning Initiative (OLI, an online course platform) and CMU's Cognitive Tutor Authoring Tools (CTAT, a set of authoring tools for creating adaptive tutoring systems). Course authors will have a variety of ways to personalize instruction in online courses: we envision a student model and adaptivity in all of the system's regulative loops. An additional goal is to support AB testing to enable routine tests of the benefits to learners of different forms of adaptivity.
This work will be a step toward a broad framework for adaptive services for technology-enhanced learning. To enable integration and interoperability with other platforms and tools, the system will adhere to emerging IEEE Adaptive Instructional System Standards and other applicable standards (e.g., xAPI and/or LTI, possibly to include Caliper). Results will be open-source.
The postdoc will be involved in all aspects of the research. Specific responsibilities will be to create a fully browser-based version of CTAT and to achieve, in stages, a progressively more complete technical integration of CTAT and OLI. We plan to integrate both for student run time, where CTAT tutors are embedded in OLI courses, and for course authoring time, to permit changes to CTAT tutors from OLI's authoring environment. The integration will entail information exchange between the systems' student models and dashboards and will permit authors to plug in alternative adaptive algorithms. We want to extend current conceptualizations of adaptivity typically found in intelligent tutoring systems, like adaptive problem selection, in order to apply them to the content of online courses, where the system can make adaptive choices from a wider selection of materials. We aim to create realistic demonstrations of these new kinds of adaptivity by transforming existing (currently not-so-adaptive) online courses. We expect that the postdoc would then want to explore any of a whole host of research questions that this kind of system presents. For example, what sort of algorithms are needed to choose properly among disparate types of online materials? Does the system increase authoring ease and efficiency? Are the resulting courses easy enough to maintain, share and customize as to facilitate adoption in the real world?
* PhD in learning technologies, human-computer interaction, or a related field
* Experience with web development
* Skill in interaction design and usability testing
* Experience with complex software engineering projects
* Experience with e-learning architecture design or development
* Experience designing and developing authoring tools, for learning technologies or other technologies
* Experience design and running controlled experiments (AB tests) that involve evaluations of learning
* Experience with Vue.js or a similar front-end framework
Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.
Internal Number: 79635
About Carnegie Mellon University
Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.