Failure to Disrupt, Justin Reich Flashcards
1997, Ken Koedinger and colleagues published “Intelligent Tutoring Goes to the Big City” - the blended model
Students learned in traditional settings for most of their class time and then spent about one day a week using math tutoring software
new technologies will not reinvent existing school systems
- new technologies are not wholly new; they build on a long history of education innovations.
- there are certain basic obstacles that time and time again have tripped up the introduction of large-scale learning systems.
Large-scale learning environments can be classified into three genres based on who creates the activity sequence for learners
instructor-guided
algorithm-guided
peer-guided
four kinds of obstacles that large- scale learning systems have encountered repeatedly over recent decades
- the curse of the familiar
- the edtech Matthew effect
- the trap of routine assessment
- the toxic power of data and experiments
INSTRUCTOR-GUIDED LEARNING AT SCALE
Massive Open Online Courses (MOOCs)
Higher education researchers sometimes describe the challenges of improving postsecondary education by referring to the “iron triangle”
cost, access, and quality
New Technologies, Old Pedagogies
one of the most useful dispositions in evaluating edtech is to regularly ask the question, “What’s really new here?”
John Dewey
Dewey famously argued, “I believe that education, therefore, is a process of living and not a preparation for future living,” and he advocated for an approach to education that emphasized apprenticeship, interdisciplinary learning, and connections to the world beyond schools. Social constructivism—the idea that individuals construct new understandings from prior understandings in the context of learning communities—is one term used by education researchers to capture this family of pedagogies
Edward Thorndike
Thorndike believed that learning could be precisely measured, and he was an early developer and advocate of standardized tests and intelligence testing. With these measures of learning, best practices in the direct transfer from experts to novices could be standardized and scientifically evaluated. Instructionism is a useful label for these ideas. MOOC developers have been overwhelmingly instructionists
The Key Components of MOOCs
Learning Management Systems (LMS)
Storefronts
Autograders
essential purpose of a Learning Management Systems (LMS)
organize instructional content online:
1. provide a set of authoring tools that allow faculty with no programming experience to create course sites
2. feature convergence, where every innovative feature that a company develops is rapidly copied by competitors
3. online components of courses within an institution are usually extremely similar to one another
4. moves every student along a linear, instructor-guided pathway by default
storefront
a business operations innovation that allowed the public to sign up for a course
Automated assessment/Autograders
- quantitative disciplines, including cs, physics and math (and early reading), have developed automated assessments when the steps to solve a problem are well defined
- computers cannot validly assess complex human performance. Under most conditions, computers cannot effectively evaluate unstructured text in essays or short- answer assignments
- Since teaching how to reason from evidence is one of the main purposes of higher education, and since the main way of demonstrating this reasoning is through essays and
similar written performances, the inability to autograde this kind of work is a critical limitation for instructor- guided online learning - MOOCs are better suited to credential learning in those domains where knowledge is more amenable to computational assessment
Two problems with taking single courses through MOOC providers and earning a credential
- relatively few students who signed up for courses actually completed them
- the value of non-degree credentials remained ambiguous; bypassing the bureaucracy of admissions also meant giving up on the legitimacy associated with formal relationships with an academic institution
MOOC providers pivoted away from individual courses and toward more comprehensive programs
attracted primarily working professionals who were not applying to residential degree programs
edX created a new program called the MicroMasters
allows students to earn an online credential by completing a series of MOOCs and sometimes passing a proctored exam.
Students can then apply those credentials as course credit toward an on-campus or online degree
MicroMasters appear to be an extension for the already educated
equality issue, educational gap
MOOC providers also make their courses available for companies
provide through their internal professional development offerings;
codevelop new programs for use within companies.
what these MOOC-based degrees, MicroMasters, and corporate training programs have in common
they recognize the value of a formal, bureaucratic connection between a learner and a university or employer
MOOC providers have come to look less like a disruptive force
more like a well- established player in higher education called online program managers (OPMs)
people who succeed in this kind of instructor-guided, self-paced online learning are
typically already- educated, affluent learners with strong self-regulated learning skills;
MOOC created new opportunities for the already educated more than they have created new pathways into higher education;
they are most likely to effectively serve the already educated pursuing advanced postsecondary learning
Autograded courses allow people to proceed at their own time and pace
but the scale of the enterprise means that students need to press on alone or find their own sources of academic support
Two very strong predictors of registering for and succeeding in a MOOC
- socioeconomic status (measures of access to social and financial capital)
- proficiency with self-regulated learning strategies
People develop self-regulated learning strategies through direct instruction and practice
often through a long apprenticeship in formal educational systems
a recent study comparing learners in the Arab world taking HarvardX and MITx courses to learners enrolled with the Jordanian MOOC provider Edraak shows that learners in Edraak courses have better gender balance, include more people with lower levels of education, and have higher completion rates
A few specific features of Edraak may explain this success:
their courses have instructors from Arab universities,
are targeted to regional needs,
and support the right-to-left writing of the Arabic language
Terabytes of Data, Little New Insight
information is largely limited to descriptive evidence of MOOC learners,
not how they learn
Rather than building lots of MOOC courses and never make changes, and hoping that data-driven insights appear downstream
a far more promising approach is to invest in online courses that are designed from the beginning not just for student learning but also for conducting research about learning;
refine the instructional materials and assessments to continuously improve those outcomes
K–12 institutions have mostly avoided instructor-guided, large-scale learning environments
K–12 educators (and parents and school boards) recognize:
1. the inherently social nature of learning
2. the limits of young people’s self-regulated learning skills