The Internet of Things’ Persistent Security Problem
The threat of ransomware
IoT’s special vulnerabilities
Potential solutions
In what is currently a fragmented regulatory and standards landscape internationally, the EU has taken strongest interest in IoT, but from a competition perspective. The EU Commission is investigating competition questions related especially to the three dominant voice-assistants (Alexa, Google Assistant, Siri), a node for issues of data privacy and interoperability. Its recently released report hardly mentions security.
Through storytelling and narrative case studies, this book proposes to provide evidence-based practices, practical strategies, administrative considerations, and management tools for K12 and post-secondary school leaders charged with implementing technology at scale. It intentionally takes a broad view across all education levels to tell stories about how large-scale technology implementations might inspire systemic changes and new collaborations. In order to do so, this book proposes to include diverse voices and perspectives representing K12 and post-secondary institutions with the goal of facilitating equitable, sustainable technology access for learner success.
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More on ED Leadership and Technology in this IMS blog https://blog.stcloudstate.edu/ims?s=edad+technology
What is happening with virtual and augmented reality in higher education?
This week the Forum will explore that question with two authors of a new report, iLRN‘s State of XR 2021. Maya Georgieva and Emory Craig, founders and principals of Digital Bodies, are world experts in Extended Reality. They have also been brilliant and in-demand Forum guests in 2020, 2019, and 2018.
According to the author of the report, one of the participants in the AI education market will be IBM, AWS, Microsoft, Google, Nuance, Century Tech, Blackboard, Pearson, Cognii, Volley.com, Blippar, Knewton, Jenzabar, Content Technologies, PLEIQ, Luilishuo, Pixatel System, Cerevrum Inc., CheckiO, and Quantum Adaptive Learning.
Europe is expected to hold a significant market share with supportive government initiatives.
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 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
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.