artificial intelligence

Boosting Online Learning Through Technology

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This post is provided by guest blogger, Samerah Saad, graduate student University of St. Francis, MS Talent Development program. 

Barbetta (2022) summarizes how active learning by digital tools can enhance learner outcomes by promoting collaboration and engagement. One focus includes the concept of Education 5.0 to discuss the learner-centric outcomes and focus on student well-being adapted to be more inclusive on a holistic level. The utilization of artificial intelligence to amplify learning experiences supports increased rates of engagement. The author supports their theory by data found in gamification approaches without losing sight of ethical concerns on data privacy. They also provide a framework for implementation to include cross-disciplinary collaboration with artificial intelligence. 

I enjoyed the inclusive mentions to emphasis accessibility and a holistic approach for learning. Barbetta focused on lower-cost options such as presentations adaptations and peer learning sessions. However, I am concerned about the sufficiency these tools will provide since it will take from the direct approach from traditional means. Active listening or proper absorption on niche topics from the peer-turned-teacher doesn’t guarantee adequate results. I would have enjoyed specific examples, with their effectiveness, of how technology can boost current programs with relative ease to provide the reader with an actionable insight to more realistically integrate.  

Reference: 

Barbetta, P. M. (2022). Technologies as tools to increase active learning during online higher-education instruction. Journal of Educational Technology Systems, 51(3), 317–339. https://doi.org/10.1177/00472395221143969 

Is Tech Friend or Foe in Healthcare?

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This post is provided by guest blogger, Michelle Edwards, graduate student University of St. Francis, MS Training and Development program.

Current and future technologies are impacting healthcare. In particular, this article focused on the computerized patient order entry (CPOE) programs. This process is used by clinicians to enter and send treatment instructions electronically through a CPOE application; previously this was done by paper. These applications were created in hopes to improve patient safety to help alleviate wrong- dosing, wrong medication, wrong route and wrong delivery.

The article explains how there remains many flaws with these applications from many programs not having the ability to recognize an incorrect entry by a clinician. (E.g.) An error in the keystroke such as future dating for a year away, there should flag that alerts the clinician requiring them to verify for things like this. The article mentioned a pharmacist set a medication start date for a year away instead of the next morning these things could not only cause a delay a care but could lead up to and include an untimely death. Alarm and alert fatigue, currently clinicians override the system alerts and although only about 10% were incorrectly overridden, when we speak in term of patient lives even 1% is too many. These errors can impact patient outcomes tremendously. 

The author mentioned AI being introduced into healthcare and how this will present challenges; AI tends to learn behaviors this could lead to the AI making decisions without the clinician being involved, as a clinician in healthcare myself this sounds so scary. I will say from the overall tone of the article technology has brought us so far but truly we have so far to go and still face many challenges that we need to explore with current technologies and the future technologies on the rise and to stay on top of these things. I will personally say that within the next 3 years there will be new jobs in healthcare that will deal with these exact issues. 

Reference

 Holmgren, J., McBride, S., Gale, B, & Mossburg, S. (2023, March 29). Technology as a tool for improving patient safety. Patient Safety Network. Retrieved from: https://psnet.ahrq.gov/perspective/technology-tool-improving-patient-safety#:~:text=Introduction,cost%20across%20all%20healthcare%20settings. 

Emerging Technologies and eLearning-Raising the Bar

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This post is provided by guest blogger, Danielle Victoriano, graduate student University of St. Francis, MS Training and Development program.

E-Learning is evolving to create the ultimate self-driven and self-paced yet interactive design. It is emerging into an interactive model that is intuitive for the learners’ needs. Is this what learners need and want? Will this aid them in achieving their goals? Mangalvedhe examines this in this 2023 article. The author examines how emerging technologies can influence and transform learning and development moving forward. In the article, the author examines how artificial intelligence, augmented and virtual reality, gamification, mobile learning and microlearning will change how we interact and respond within the learning model to a more profound level than we have in eLearning.

This is an excellent article for content creators and instructional designers that are seeking ways to provide interaction and take learning to an application level. The author examines in detail how each technology can be integrated into instructional design. Mangalvedhe (2023) also discusses how each technology can fulfill and appeal to the various needs of learners. Examples are provided to suggest how these technologies can be executed successfully in the created content. These examples will be a starting point to consider using these advanced technologies that workplaces are already utilizing to raise the bar of flexible and efficient learning while expediting the upskilling process.  

References

Mangalvedhe, A. (2023, January 12). The emerging technologies in Elearning. eLearning Industry. https://elearningindustry.com/the-emerging-technologies-in-elearning

ChatGPT: What’s it doing for/to me?

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This post is brought to you by your genial novice blogger, Daniel Liestman, a graduate student in the University of St. Francis’ (Joliet, IL) MS in Training and Development program.

Last November, Open AI released an advanced chatbot like no other.  ChatGPT (generative pre-trained transformer) draws on Internet information.  It’s RLHF, or Reinforcement Learning from Human Feedback component, however, provides the human-like quality.  While ChatGPT may stir anxiety in some, it can be used as an effective learning tool.  For example, how might learners construct an AI generated argument and then analyze and critique it?  Further, how might learners hone their own questioning skills to spark discovery? Such AI can also foster individualized learning as well as doing administrative work for instructors while also doing instructional planning.

Stephens, an educational consultant with degrees from Harvard and Stanford, has no idea what ChatGPT bodes. But neither do we.  AI, for her, has a place in learning, but also in reducing instructors’ grunt work. I recall the story of a professor who audio taped a lecture for a day he was out.  While the reel-to-reel played atop the lectern, a cassette recorder on each student’s desk taped the lecture. While the technology has changed,  AI may well imitate this cautionary tale at the moment expense of learning.

Stephens, D. (2023, May 16). ChatGPT examples to use artificial intelligence in education. Nearpod Blog.  https://nearpod.com/blog/chatgpt-ai-artificial-intelligence/

AI: It’s learning from us, so we better learn it!

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This post is provided by guest blogger, George Skerritt, graduate student of the University of St. Francis, MS Training and Development program.

In very much the same way market research is conducted and improved through the evaluation of search engine behavior and demographics, educators can harness the power of AI as part of the learning and development process.  Continue reading →

Learning theory drives learner personalization

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This post is provided by guest blogger, Katie Sachs, graduate student at the University of St. Francis in Joliet, IL, MS in Training and Development program.

Artificial intelligence (AI) technology is making today’s corporate learning management systems (LMS) into adaptive learning platforms that can help training and development professionals better serve their diverse learner populations – which include Continue reading →