Archive of ‘learning’ category

Ed Tech Adoption during pandemic

How the Pandemic Boosted Ed Tech Adoption

https://campustechnology.com/articles/2021/06/08/how-the-pandemic-boosted-ed-tech-adoption.aspx

CHLOE is an annual survey of chief online officers about the structure and organization of online learning in United States higher education, conducted by Quality Matters and Eduventures Research. The 2021 survey polled representatives from 422 U.S. colleges and universities, drilling down into the impact of the pandemic on the future of online learning.

Full report: https://www.qualitymatters.org/qa-resources/resource-center/articles-resources/CHLOE-6-report-2021

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more on ed tech in this IMS blog
https://blog.stcloudstate.edu/ims?s=educational+technology

BEST COLLEGES FOR FIRST-GENERATION COLLEGE STUDENTS

THE BEST COLLEGES FOR FIRST-GENERATION COLLEGE STUDENTS

https://www.thebestcolleges.org/the-best-colleges-for-first-generation-college-students/

CORNELL UNIVERSITY

TRINITY UNIVERSITY

YALE UNIVERSITY

TEXAS TECH UNIVERSITY

COLORADO STATE UNIVERSITY

CALIFORNIA STATE UNIVERSITY SAN MARCOS

WHAT TO LOOK FOR IN PROSPECTIVE COLLEGES

Students should seek out schools that offer outreach or counseling programs to help freshmen matriculate into collegiate life. It’s more than just an enrollments numbers game.

“Students should ask themselves, ‘Do these schools care about my success?’ and ‘Is it more important for me to be admitted than to graduate?'” said Ontiveros. “Colleges should really be upfront and share information about their efforts because many students don’t know to ask these questions.”

gender gap among college students

The Missing Men

The gender gap among college students only worsened during the pandemic. Is it a problem colleges are willing to tackle?

https://www.chronicle.com/article/the-missing-men

n the late 1970s, men and women attended college in almost equal numbers. Today, women account for 57 percent of enrollment and an even greater share of degrees, especially at the level of master’s and above. The explanations for this growing gender imbalance vary from the academic to the social to the economic.

In 2018, the female-male gap in enrollment among 18- to 24-year-olds stood at eight percentage points for Black and Hispanic students, and six percentage points for white students. Over all, nearly three million fewer men than women enrolled in college that year.

Though well-paying jobs are still available for men without a four-year degree — jobs in the skilled trades, and advanced manufacturing, for example — most require at least a certificate or associate degree.

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more on male students decline in this iMS blog
https://blog.stcloudstate.edu/ims?s=male+students

The future of customer experience CX

Prediction: The future of CX

https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/prediction-the-future-of-cx#

The CX programs of the future will be holistic, predictive, precise, and clearly tied to business outcomes

Why use a survey to ask customers about their experiences when data about customer interactions can be used to predict both satisfaction and the likelihood that a customer will remain loyal, bolt, or even increase business?

 

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.

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