data driven education

The Downside of Data-Driven Education

A dozen years ago, Richard Rothstein wrote an excellent paper called “Holding Accountability to Account,” showing how incentives can perversely affect and undermine the goal that are sought (it is free on the internet).

In 1990k Andrea A. Gabor wrote a book about W. Edwards Deming called The Man Who Discovered Quality, in which she explained Deming’s contempt for merit pay and bonuses, which cause employees to think about themselves and not about the organization and its larger purposes.

Muller wrote a recent article about “metric fixation” in which he reviewed the flaws of data-driven work

“When reward is tied to measured performance, metric fixation invites just this sort of gaming. But metric fixation also leads to a variety of more subtle unintended negative consequences. These include goal displacement, which comes in many varieties: when performance is judged by a few measures, and the stakes are high (keeping one’s job, getting a pay rise or raising the stock price at the time that stock options are vested), people focus on satisfying those measures – often at the expense of other, more important organizational goals that are not measured. The best-known example is ‘teaching to the test’, a widespread phenomenon that has distorted primary and secondary education in the United States since the adoption of the No Child Left Behind Act of 2001.”

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more on data driven education in this IMS blog
https://blog.stcloudstate.edu/ims?s=data+driven+education

AI use in education

EDUCAUSE QuickPoll Results: Artificial Intelligence Use in Higher Education

D. Christopher Brooks” Friday, June 11, 2021

https://er.educause.edu/articles/2021/6/educause-quickpoll-results-artificial-intelligence-use-in-higher-education

AI is being used to monitor students and their work. The most prominent uses of AI in higher education are attached to applications designed to protect or preserve academic integrity through the use of plagiarism-detection software (60%) and proctoring applications (42%) (see figure 1).

The chatbots are coming! A sizable percentage (36%) of respondents reported that chatbots and digital assistants are in use at least somewhat on their campuses, with another 17% reporting that their institutions are in the planning, piloting, and initial stages of use (see figure 2). The use of chatbots in higher education by admissions, student affairs, career services, and other student success and support units is not entirely new, but the pandemic has likely contributed to an increase in their use as they help students get efficient, relevant, and correct answers to their questions without long waits.Footnote10 Chatbots may also liberate staff from repeatedly responding to the same questions and reduce errors by deploying updates immediately and universally.

AI is being used for student success tools such as identifying students who are at-risk academically (22%) and sending early academic warnings (16%); another 14% reported that their institutions are in the stage of planning, piloting, and initial usage of AI for these tasks.

Nearly three-quarters of respondents said that ineffective data management and integration (72%) and insufficient technical expertise (71%) present at least a moderate challenge to AI implementation. Financial concerns (67%) and immature data governance (66%) also pose challenges. Insufficient leadership support (56%) is a foundational challenge that is related to each of the previous listed challenges in this group.

Current use of AI

  • Chatbots for informational and technical support, HR benefits questions, parking questions, service desk questions, and student tutoring
  • Research applications, conducting systematic reviews and meta-analyses, and data science research (my italics)
  • Library services (my italics)
  • Recruitment of prospective students
  • Providing individual instructional material pathways, assessment feedback, and adaptive learning software
  • Proctoring and plagiarism detection
  • Student engagement support and nudging, monitoring well-being, and predicting likelihood of disengaging the institution
  • Detection of network attacks
  • Recommender systems

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more on AI in education in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence+education

robocolleges

https://higheredinquirer.blogspot.com/2021/07/the-growth-of-robot-colleges.html

some frightening full-time faculty numbers at some large online universities.

Robot colleges have de-skilled instruction by paying teams of workers, some qualified and some not, to write content, while computer programs perform instructional and management tasks. Learning management systems with automated instruction programs

The assumption is that managing work this way significantly reduces costs, and it does, at least in the short and medium terms.  However, instructional costs are frequently replaced by marketing and advertising expenses to pitch the schools to prospective students and their families.
The business model in higher education for reducing labor power and faculty costs is not reserved to for-profit colleges.  Community colleges also rely on a small number of full-time faculty and armies of low-wage contingent labor.
In some cases, colleges and universities, including many brand name schools, utilize outside companies, online program managers (OPMs), to run their online programs, with OPMs like 2U taking up as much as 60 percent of the revenues.

Glue VR collaboration platform

New release of Glue VR collaboration platform supports third-party apps including Office 365 and Google Workspace

https://www.auganix.org/new-release-of-glue-vr-collaboration-platform-supports-third-party-apps-including-office-365-and-google-workspace/

he new release integrates several popular enterprise tools, allowing users to bring their existing digital workflows into VR during virtual meetings on Glue. The full list of third-party apps that are supported includes:

  • Gmail
  • Google Sheets
  • Google Docs
  • Google Drive
  • Google Slides
  • Google Calendar
  • Jira
  • Miro
  • MURAL
  • Office 365 (Word, Excel, Powerpoint, OneDrive, OneNote, Sharepoint and Teams)
  • Salesforce
  • Slack
  • Trello

Another feature of the new release includes an improved avatar configurator.

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more on virtual worlds in this IMS blog
https://blog.stcloudstate.edu/ims?s=virtual+worlds

H5P Live engagement tools

Live engagement tools June 2021 Release

https://h5p.org/live-engagement-tools-released

  • Live reports.
  • Reports stored in each student profile.
  • Report exports (csv).
  • Background music (several included options, and you may upload your own).
  • Fully customizable color themes as well as several ready made WCAG compliant themes to choose from.
  • Extra polish with animated backgrounds and a captivating student experience.

Multipoll allows you to combine Emoji Clouds, Word Clouds, Image Hotspot questions, Multiple Choice questions as well as texts, videos and images into a larger experience with multiple pages. Multipoll may be used to conduct larger surveys or as an intro to a larger discussion for instance.

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more on H5P in this iMS blog
https://blog.stcloudstate.edu/ims?s=h5p

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