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Tag: ChatGPT

The Future of Education: Expert Panel Weighs in on the Metaverse, AI, and Blockchain in Higher Learning

Through the power of ChatGPT, we summon our facilitator, Percy, once again to moderate a round-table conversation amongst thought leaders in the field of higher education and technology. Previously, Percy moderated the topic around The Future of Higher Education: A Roundtable of Higher Education Leaders: Discussing the Future of Higher Education – ChatGPT Style.

The topic for today is “imagine a future where a higher education institutions operate in a time and space in the metaverse, artificial intelligence, and blockchain.” The first question is “How imminent will this happen and what are the implications to higher education?” The second question is “what is the worst case scenario?” and the last question is “what’s the best case scenario?”

Percy: Thank you all for joining this round table discussion. Today, we’ll be exploring a future where higher education institutions operate in the metaverse, leveraging artificial intelligence and blockchain technologies. Our first question is, “How imminent will this happen and what are the implications for higher education?” Let’s hear from Ray Kurzweil first.

Ray Kurzweil: In my view, the integration of these technologies into higher education is not only imminent, but it’s already happening. Within the next decade, we’ll see a significant shift towards virtual, AI-assisted learning environments. The implications include increased accessibility, personalization, and collaboration in education, but also the risk of exacerbating existing inequalities.

Percy: Thank you, Ray. Don Tapscott, would you like to weigh in on this question?

Don Tapscott: I agree with Ray on the timeline. However, I’d like to emphasize the potential of blockchain technology in this context. It can revolutionize higher education by providing secure, decentralized systems for credentials and academic records. This will create more trust and transparency in the sector, ultimately benefiting students and institutions alike.

Percy: Cathy N. Davidson, your perspective would be invaluable here.

Cathy N. Davidson: Building on Ray’s and Don’s points, I see this transformation as an opportunity to rethink our traditional educational models. By embracing the metaverse and AI, we can break free from the constraints of time, space, and bureaucracy. This has the potential to create more inclusive, engaging, and learner-centric experiences, but it also demands a shift in how we prepare educators for this new reality.

Percy: Now, let’s hear from Joi Ito on this topic.

Joi Ito: I agree that this future is imminent, and I’d like to highlight the implications for creativity and innovation. AI and the metaverse will enable new forms of collaboration, fostering a global community of learners and researchers. However, we must be cautious not to let technology dictate the educational experience, but rather use it as a tool to support and enhance human connection and discovery.

Percy: Finally, Cathy O’Neil, what are your thoughts?

Cathy O’Neil: I think my colleagues have covered the potential benefits well, but I’d like to emphasize the potential risks. As AI and blockchain become more prevalent, we need to ensure that privacy, security, and ethical considerations are addressed. Furthermore, we must work to prevent a digital divide in education, where access to these technologies becomes a new source of inequality.

Percy: Let’s dive into the second question: “What is the worst-case scenario for a future where higher education institutions operate in a time and space in the metaverse, artificial intelligence, and blockchain?” I’d like to invite Don Tapscott to share his thoughts first. Don, as a leading expert on the intersection of technology and education, what concerns do you have about this future?

Don Tapscott: The worst-case scenario in my view would involve the exacerbation of existing inequalities in higher education. Institutions that can afford cutting-edge technologies will gain a massive advantage, while others will be left behind. Additionally, there’s a risk of personal data being mishandled on these platforms, putting student privacy at stake.

Percy: Cathy N. Davidson, as a scholar who has focused on the future of learning and digital literacy, how do you see the potential pitfalls in this scenario?

Cathy N. Davidson: I share Don’s concerns about inequality. We need to ensure that access to quality education in the metaverse is not restricted to a privileged few. Moreover, the overemphasis on technology may lead to a devaluation of human interaction, which is essential for critical thinking and creativity.

Percy: Joi Ito, as an entrepreneur and technologist who has been involved with the development of the internet and its impact on society, do you have any thoughts on this worst-case scenario?

Joi Ito: I think there’s a danger of monopolistic behavior by large corporations that could stifle innovation and limit access to these new educational opportunities. Also, we must be cautious of surveillance capitalism, where student data is used to manipulate and control, instead of empowering learners.

Percy: Cathy O’Neil, as a mathematician and author who has written about the dark side of algorithms, what do you think could go wrong in this future?

Cathy O’Neil: The use of AI in higher education could lead to biased decision-making and further marginalize underrepresented groups. We need to make sure algorithms are transparent and accountable to prevent this.

Percy: Ray Kurzweil, as a futurist and inventor who has extensively written about AI and its future impact, what are your thoughts on the potential negative consequences?

Ray Kurzweil: While I’m generally optimistic about technology, I recognize the potential for AI to become an oppressive force if misused. In the worst-case scenario, AI could be used to control students’ thoughts and actions, leading to a dystopian educational environment.

Percy: Thank you all for your insights. It seems that the main concerns in the worst-case scenario involve inequality, surveillance, loss of human interaction, and the misuse of AI. Let’s continue the conversation and explore potential solutions and best-case scenarios.

Percy: That’s a compelling vision, Don. Cathy N. Davidson, you have long advocated for the importance of rethinking traditional education structures. What do you think about the best-case scenario?

Cathy N. Davidson: Building on Don’s ideas, I believe the best-case scenario would also involve a shift from the traditional one-size-fits-all approach to a more diverse and flexible education system. The metaverse and AI can help create an environment where students can explore their passions, and collaborate with people from different backgrounds and disciplines. Blockchain could facilitate a more modular and customizable credentialing system, allowing students to build their own unique learning paths. It’s a future where education becomes a lifelong, adaptable journey.

Percy: Thank you, Cathy. Joi Ito, as someone with a background in both technology and education, what are your thoughts on the best-case scenario for higher education in this new era?

Joi Ito: I agree with Don and Cathy, but I’d like to emphasize the importance of maintaining a strong human component in this new educational landscape. While AI and the metaverse can empower students and educators, we must ensure that these technologies are designed ethically and with empathy. In the best-case scenario, we strike a balance between harnessing technology and fostering human connections. It’s crucial that we create spaces within the metaverse where diverse perspectives can come together, fostering creativity and innovation.

Percy: That’s an important point, Joi. Cathy O’Neil, you have been critical of the potential pitfalls of AI and big data. In your view, what would be the best-case scenario for higher education institutions utilizing these technologies?

Cathy O’Neil: I believe the best-case scenario would be one where AI and blockchain are used responsibly and transparently. Education institutions should ensure that the algorithms they use are fair, unbiased, and do not perpetuate existing inequalities. In addition, they must be transparent about the data collected and used to make decisions about students’ learning experiences. By being accountable and transparent, we can harness these technologies to create an equitable and just educational system for all.

Percy: Thank you all for sharing your perspectives on the best-case scenario for higher education institutions in the age of the metaverse, AI, and blockchain. It’s clear that while there are many potential benefits, it’s crucial to ensure that these technologies are used ethically and responsibly to create a more inclusive, accessible, and innovative education system.


ChatGPT 101: An Introduction to the Revolutionary AI Technology for Higher Education IT Professionals

The content of this training is generated by ChatGPT in response to a prompt provided by Joe Sabado.

Learning Outcomes:

By the end of this 55-minute training, participants will be able to:

  • Understand the concept of ChatGPT and its relevance to higher education IT professionals.
  • Identify potential use cases for ChatGPT in their respective areas of IT operations and management.
  • Explain the benefits of using ChatGPT for internal and external communication, knowledge management, automation, and leadership/management.
  • Evaluate the potential risks and challenges associated with ChatGPT in cybersecurity and HR.
  • Develop strategies for responding to cybersecurity, HR, and other IT-related concerns involving ChatGPT.

Outline:

I. Introduction (5 minutes)

  • Welcome and introductions
  • Overview of the training objectives and agenda
  • Explanation of ChatGPT and its relevance to higher education IT professionals

II. Understanding ChatGPT (10 minutes)

  • Explanation of the concept of ChatGPT
  • Overview of how ChatGPT works
  • Potential use cases for ChatGPT in higher education IT operations and management

III. Benefits of ChatGPT (15 minutes)

  • Improved internal and external communication
  • Streamlined knowledge management
  • Increased automation
  • Enhanced leadership and management

IV. Risks and Challenges of ChatGPT (10 minutes)

  • Potential cybersecurity risks
  • HR concerns
  • Other IT-related challenges

V. Case Study Activities (10 minutes)

  • Small group discussions on potential use cases for ChatGPT
  • Group presentations and feedback

VI. Responding to Concerns (5 minutes)

  • Strategies for addressing cybersecurity risks
  • Approaches to HR concerns
  • Other IT-related responses

VII. Q&A and Next Steps (5 minutes)

  • Recap of key takeaways
  • Questions and answers
  • Next steps for implementing ChatGPT in higher education IT operations and management

Case Study Activities:

Case Study 1: ChatGPT for Internal Communication (3 minutes)

  • Small group discussion on how ChatGPT can improve internal communication in a higher education IT department (5 minutes)
  • Group presentation and feedback (2 minutes)

Case Study 2: ChatGPT for External Communication (3 minutes)

  • Small group discussion on how ChatGPT can improve external communication with students, faculty, and other stakeholders in higher education (5 minutes)
  • Group presentation and feedback (2 minutes)

Case Study 3: ChatGPT for Knowledge Management (3 minutes)

  • Small group discussion on how ChatGPT can be used to manage institutional knowledge in higher education (5 minutes)
  • Group presentation and feedback (2 minutes)

Responding to Concerns:

  • Cybersecurity risks: Ensure proper authentication and access control measures, regularly monitor ChatGPT for suspicious activity, and implement regular security audits. (1 minute)
  • HR concerns: Develop guidelines for appropriate use of ChatGPT, including the avoidance of sensitive or discriminatory language, and provide training on best practices for ChatGPT usage. (2 minutes)
  • Other IT-related concerns: Develop a comprehensive risk management plan that addresses potential challenges and risks associated with ChatGPT, including data privacy and ethical considerations. (2 minutes)

Time Allocation:

  • Introduction – 5 minutes
  • Understanding ChatGPT – 10 minutes
  • Benefits of ChatGPT – 15 minutes
  • Risks and Challenges of ChatGPT – 10 minutes
  • Case Study Activities – 10 minutes
  • Responding to Concerns – 5 minutes

Q&A and Next Steps – 5 minutes

========================================================

Email me at joepsabado@gmail.com for a facilitator’s guide for this training which includes scenarios for the case study section and details for each section.


ChatGPT 101 for Student Health Services: An Introductory Training

The content of this training is generated by ChatGPT in response to a prompt provided by Joe Sabado.

Training Purpose: To provide administrative and medical staff at the student health center with an introduction to ChatGPT, a large language model trained by OpenAI, and how it can be used to support student health service-related concerns. The training will also address privacy, appropriate use, and other FERPA/HIPAA concerns related to ChatGPT usage, and offer approaches to responding to student health service-related concerns involving ChatGPT while ensuring confidentiality, privacy, and appropriate use of the tool.

Learning Outcomes:

  • Understand what ChatGPT is and how it can be used to support student health service-related concerns.
  • Identify potential privacy, appropriate use, and other FERPA/HIPAA concerns related to ChatGPT.
  • Develop approaches to responding to student health service-related concerns involving ChatGPT while ensuring confidentiality, privacy, and appropriate use of the tool.

Introduction (5 minutes):

  • Greet the participants and introduce yourself as the facilitator.
  • Explain the purpose of the training, which is to introduce them to ChatGPT and provide an overview of the training agenda.

ChatGPT Overview (10 minutes):

  • Explain what ChatGPT is and how it works.
  • Discuss the potential benefits of using ChatGPT for student health service-related concerns.
  • Provide examples of how other organizations have successfully integrated ChatGPT into their operations.

Case Studies (30 minutes):

  • Divide participants into groups and distribute case studies related to ChatGPT usage in student health service.
  • Each group will analyze the case study and identify potential privacy, appropriate use, and other FERPA/HIPAA concerns.
  • After analyzing the case study, each group will report its findings to the larger group and engage in a discussion about the best ways to address those concerns.

Approaches to Responding to Concerns (10 minutes):

  • Provide some approaches to responding to student health service-related concerns involving ChatGPT.
  • Highlight the importance of confidentiality, privacy, and appropriate use of the tool.
  • Encourage participants to share their experiences and suggestions for dealing with these types of concerns.

Wrap-up (5 minutes):

  • Summarize the key takeaways from the training.
  • Encourage participants to ask questions or provide feedback.
  • Provide any additional resources, if available.

=============================================================

Email me at joepsabado@gmail.com for a facilitator’s guide for this training which includes scenarios for the case study section and details for each section.


Student Conduct Officers: Are You Prepared to Deal with ChatGPT?

I have yet to read many articles on how higher education student conduct officers should respond to ChatGPT-related academic and behavioral misconduct incidents. So, to get some general ideas on the topic, I prompted ChatGPT with ideas on what a 1-hour training to introduce ChatGPT, the relevance to their jobs, and potential approaches they may have when such incidents arise.

This blog post aims to:

  1. Share a 1-hour training session plan that can be used as a baseline for others to adapt.
  2. Illustrate the utility of ChatGPT as a learning tool.
  3. Use ChatGPT to develop training activities.

One important note: The value of a knowledgeable instructor/practical facilitator who can lead inclusive, diverse, and productive discussions cannot be understated. For this interactive training, the approach of “guide by the side,” whereby the teacher acts as a facilitator or guide for the learning process, is more effective than “sage on the stage,” whereby the teacher lectures, and the students listen and take notes.

Learning Outcomes/Objectives:

  • Define what ChatGPT is and how it works
  • Understand the potential impact of ChatGPT on academic and behavioral misconducts
  • Analyze case studies involving ChatGPT and academic or behavioral misconducts, and recommend appropriate responses
  • Develop a plan of action to respond to academic and behavioral misconducts involving ChatGPT

By the end of this training, student conduct officers should be able to:

  • Define what ChatGPT is and explain how it works, and recognize its potential applications in various fields
  • Understand the potential impact of ChatGPT on academic and behavioral misconducts, and recognize its relevance to student conduct officers’ work
  • Analyze case studies involving ChatGPT and academic or behavioral misconducts, and recommend appropriate responses, taking into account ethical considerations and best practices
  • Develop a plan of action to respond to academic and behavioral misconducts involving ChatGPT, using guidelines and best practices, and involving AI experts and stakeholders as necessary

Time Allocation:

I. Introduction (5 mins)

  • Welcome and introductions
  • Brief explanation of the purpose of the training session
  • Overview of what ChatGPT is and how it works

II. Importance and Relevance (10 mins)

  • Discuss why it is important for student conduct officers to be aware of ChatGPT
  • Explain how ChatGPT can be relevant to academic and behavioral misconducts
  • Provide examples of how ChatGPT can impact academic and behavioral misconducts

III. Case Study Activities (30 mins)

  • Divide the group into small groups
  • Provide each group with a case study activity involving ChatGPT and academic or behavioral misconduct
  • Allow each group time to analyze the case study and discuss potential responses to the situation
  • Reconvene the group and allow each group to present their analysis and recommended response

IV. Responding to Misconduct (10 mins)

  • Discuss potential approaches to responding to academic and behavioral misconducts involving ChatGPT
  • Provide guidelines for investigating and addressing potential misconduct involving ChatGPT
  • Discuss the importance of involving AI experts and developing policies to prevent future misconduct

V. Conclusion and Learning Outcomes (5 mins)

  • Recap the main points covered in the training
  • Reiterate the importance of being aware of ChatGPT and its potential impact on academic and behavioral misconducts
  • Provide learning outcomes for the training

==========================================================

It is imperative that student service practitioners, including student conduct officers, engage in learning about ChatGPT to gain competencies to better serve and prevent harm to students and other campus constituents. Ill-informed policies and practices implemented do have social justice implications.

While a significant portion of the conversations related to ChatGPT center around academic integrity and teaching/learning, higher education institutions consist of many areas/capabilities in the learning and teaching, research, and enabling capabilities that warrant explorations on the implications and utilities of this technology. 

Email me at joepsabado@gmail.com for a facilitator’s guide for this training which includes scenarios for the case study section and details for each section.


Exploring the Social Justice Implications of ChatGPT and Higher Education’s Responses

What are the social justice implications of ChatGPT and institutions’ responses to the tool?

I wrote in this blog post about information technology (and technology in general) and social justice that these concepts are not discussed enough. In that blog post and for this one, I use the concept offered by Tyler and Smith (1998) of social justice, which involves distributive and procedural. The authors defined distributive justice as the “distribution of limited goods and resources based on principles of equity, need, or equality” and procedural justice as the “influence during the decision-making process.”

The varied responses of learning institutions to ChatGPT, including outright banning the tool, such as New York City schools, Fairfax County Public Schools, Fairfax County Public Schools, and Los Angeles Unified School District some exploring the potential benefits by incorporating it into their classroom curriculum like Prof Ethan Mollick got me thinking to the idea of the impact of ChatGPT itself as well as the responses and their implications to social justice in higher education. In an almost inevitable future world where digital competencies involve AI, and when some high schools/universities ban these tools, does the digital divide become an issue?

Coincidentally, a colleague asked me, “could you point me toward articles or resources where universities are considering the DEI implications of OpenAI?” I may need to do more research across institutions to examine faculty guidance offered by higher education institutions. Still, at a glance, the available guidance provided by institutions I have reviewed focuses on the ethical use of AI, specifically academic dishonesty and plagiarism. Still, I did not read mentions of the implications of DEI.

Regarding equity and equality, folks with disabilities and advocates have expressed concerns about banning ChatGPT and AI. This article provides an example, “AI has tremendous potential, especially when it comes to making learning materials more accessible … it makes more sense for universities to embrace the technology,” she said, adding that returning to pen and paper “seems a bit backward.”

Another article highlighted the disproportionate impact of banning ChatGPT on folks with disabilities,

“Taking the hasty stance of rigid gatekeeping in response to AI proceeds down a path of universal dismantlement, the opposite of universal design. In universal dismantlement, imposed restrictions on technology, which may have a marginal impact on the population in general, would have a graver effect on those with disabilities.”

Suppose higher education institutions are to incorporate ChatGPT into student learning and teaching, research, and administrative functions. In that case, those tasked with designing and implementing the technology must ensure it does not inhibit specific populations’ ability to fulfill their “jobs to be done.”

Given the impact of ChatGPT and the responses to the tool, it is imperative for higher education decision-makers, faculty, and staff that provide service not only to our students but other stakeholders to understand the benefits and drawbacks of this disruptive tool. They also need to meaningfully involve those impacted by their decisions to participate and have input in proposed policies and practices. Introducing policies to combat unethical use of the technology may inadvertently introduce more harm to some populations they serve.

Reference:

Taylor, S.H. “The Impact of College on the Development of Tolerance.” NASPA Journal, 1998, 34, 281-295.


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