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edX’s case illustrates one mechanism through which this happens: the construction of organizational roles. Consider the separation of software and pedagogy within the edX ecosystem. As edX expanded its slate of partners, its first clients and patrons, MIT and Harvard, saw a decline in their own ability to set the agenda and control the direction of the software. These “users” argue that the software has an implicit theory of pedagogy embedded in it, and that, as experts on pedagogy, they should have more of a say in shaping the software. While acknowledging this, edX’s architects counter that they—and not the Harvard-MIT folks—should have the final say on prioritizing which features to build, not only because they understand the software the best, but also because they see themselves as best placed to understand which features might benefit the whole eco-system rather than just particular players. The standard template in the education technology industry is that the technology experts are only supposed to “implement” what the pedagogy experts ask. What is arguably new about the edX platform framework is that the software is prior to, and thereby more constitutive of, the pedagogy.

Here are a few specific examples you can apply to your instructional design process to help learners with metacognition: Model the metacognitive process during instruction (or in one-on-one consultations) to ask and reflect on big picture questions such as: “What questions can you answer with this tool?” “What can you not do with this tool?” Keep in mind some answers may be simple (e.g., this tool can only work with data in this way, so it is excluded automatically). Also, “Did I get the results I expected? What could I have done differently?” Start with inquiry and build conversations based on the learner’s answers. “Is it the data that does not work? Or is the research question fundamentally wrong to begin with?” Collaborate with faculty to teach together, modelling your practices while demonstrating a specific tool. This could include thinking aloud as you make decisions so learners can self-correct assumptions. Also, be aware of your own expert bias so you can demonstrate how to clear obstacles. Ask learners to specifically define what is difficult for them during the process of instruction. Digital humanities tools are complex and are based on complex methodologies and research questions. By constructing opportunities for learners to self-question as they move from one task to another, they learn to self-assess their progress and adjust accordingly. There are several instructional design activities that promote metacognition: think-pair-share, one minute paper (“share a key concept learned” or “what comes next?”), and case studies.

There are specific strategies we can implement to help learners escape the recursive spiral of the liminal state they experience while managing complex digital projects: One of the most challenging aspects of teaching digital tools is forgetting what it is like to be a novice learner. Sometimes being a near-novice oneself helps you better prepare for the basic problems and frustrations learners are facing. But recognizing liminality is a reminder to you as a teacher that the learning process is not smooth, and it requires anticipating common difficulties and regularly checking in with learners to make sure you are not leaving them behind. When meeting with learners one-on-one, make sure to use your in-depth reference interview skills to engage in methods discussions. When a learner is in the liminal state, they are not always able to “see the forest for the trees.” Your directed questions will illuminate the problems they are having and the solutions they had not seen. Pay close attention to the digital humanities work and discussions happening on your own campus, as well as across the academic community. Working through the liminal space may require helping learners make connections to others facing similar problems. Also follow online discussions in order to point your learners to a wide variety of group learning opportunities, such as the active digital humanities community on Slack.9 When designing instructional opportunities, such as workshops and hackathons, pay particular attention to outreach strategies that may bring like-minded learners together, as well as diverse voices. For example, invite the scholar whose project was completed last year to add a more experienced voice to the conversation. By encouraging the formation of learning communities on your campus, you are creating safe spaces to help learners navigate the liminal state with others who may be on the other side of struggling with specific digital project issues. In designing instructional activities, guide learners through visualization exercises that help to identify “stuck” places. Making graphic representations of one’s thoughts (e.g., concept maps) can highlight areas that require clarification.

The typical university is in constant tension between autonomous academic departments, which control curriculum and faculty hiring and promotion, and a strong president, who controls funding and is responsible only to the lay board of directors who own the place. Also thrown into the mix are a jumble of independent institutes, research centers and academic programs that have emerged in response to a variety of funding opportunities and faculty initiatives. The resulting institution is a hustler’s paradise, driven by a wide array of entrepreneurial actors: faculty trying to pursue intellectual interests and forge a career; administrators trying to protect and enrich the larger enterprise; and donors and students who want to draw on the university’s rich resources and capitalize on association with its stellar brand. These actors are feverishly pursuing their own interests within the framework of the university, which lures them with incentives, draws strength from their complex interactions and then passes these benefits on to society.

The biggest problem facing the American system of higher education today is how to deal with its own success. In the 19th century, very few people attended college, so the system was not much in the public spotlight. Burgeoning enrollments in the 20th century put the system center stage, especially when it became the expectation that most people should graduate from some sort of college. As higher education moved from being an option to becoming a necessity, it increasingly found itself under the kind of intense scrutiny that has long been directed at American schools.

The danger posed by this accountability pressure is that colleges, like the K-12 schools before them, will come under pressure to narrow their mission to a small number of easily measurable outcomes. Most often the purpose boils down to the efficient delivery of instructional services to students, which will provide them with good jobs and provide society with an expanding economy. This ignores the wide array of social functions that the university serves. It’s a laboratory for working on pressing social problems; a playpen for intellectuals to pursue whatever questions seem interesting; a repository for the knowledge needed to address problems that haven’t yet emerged; a zone of creativity and exploration partially buffered from the realm of necessity; and, yes, a classroom for training future workers. The system’s organizational messiness is central to its social value.