This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence. The course will also explore practical applications of learning analytics and artificial intelligence in learning management systems and other educational tools and critically interrogate the applications of AI in education.
Welcome to the Machine Learning and Human Learning course!
To help you get started and become familiar with our resources, we recommend the following onboarding and orientation materials:
CGMap Tutorial 1. This video explains you how to create peer reviews using the CGMap tool.
CGMap Tutorial 2. This video shows you how to access reviews and feedback you receive from your peers. Additionally, it demonstrates how you can provide feedback on the feedback you have received
CG Map Login. Use this link to access the CGMap tool. CGMap is a concept mapping and peer review tool that is connected with CGScholar.
Artificial Intelligence (AI) Reviews. This video explains how to generate an AI review using the CGMap tool and save it in the appropriate format. Alternatively, you can check the Step-by-Step AI Instructions and all details about both human/AI review process in our website.
Assessment: Analytics Explained. This video talks about the assessment through the Analytics tool.
Course Requirements:
Infographic for Participation Requirements Checklist
We encourage you to explore these resources at your own pace. Welcome once again, and best of luck with your studies!
Read the following paper that discusses the nature of machine intelligence, its limits and potentials in education. First, we present some concepts, followed by a practical overview of the results of a number of experimental implementations documented in greater detail elsewhere.
Our key finding is that artificial intelligence—in the context of the practices of electronic computing developing over the past three quarters of a century—will never in any sense “take over” the role of teacher, because how it works and what it does are so profoundly different from human intelligence. However, within the limits that we describe in this paper, it offers the potential to transform education in ways that—counterintuitively perhaps—make education more human, not less.
Make a comment: In what ways can AI support human learning? What are its challenges and benefits? You can also respond to other people's comments by starting a comment, @Name.
Now read the following papers:
Cope, Bill and Mary Kalantzis, "On Cyber-Social Learning: A Critique of Artificial Intelligence in Education,” in Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines, edited by Theodora Kourkoulou, Anastasia O. Tzirides, Bill Cope and Mary Kalantzis, Cham CH: Springer, 2023.
Cope, Bill and Mary Kalantzis, "On Cyber-Social Meaning: The Clause, Revised,” International Journal of Communication and Linguistic Studies, 21(2):1-18, 2023, doi: https://doi.org/10.18848/2327-7882/CGP/v21i02/1-18.
Make a comment: As discussed, AI is becoming a defining technology of our time. The term was popularized by John McCarthy in 1956, and since then, various definitions of AI have emerged. It's not necessary for everyone to agree on a single definition, but it's important for those who use it to have an understanding to faciliate effective communication around AI. Please share your own perspective on AI and how it influences your life. Comment on others' comments.
Make a comment: Find and describe an example of an application of Generative AI in education. OR How can generative AI impact the nature of learning? How can it influence the relationship between teaching and learning? Comment on others' comments.
Following are some (mostly recent or upcoming) scholarly publications on Genereative AI. We'd like you to read some of them to get a broader sense of our thinking on AI in education.
Other complementary readings:
Make a comment: Read at least two of these articles. Analyze the selected readings and write at least 200 words that focuses on a theme addressed in them. What are the main takeaways? Comment on others' comments.
Read the following chapters:
Make a comment: How can technology be leveraged to assist educators in applying the Zone of Proximal Development? OR Provide and describe an example of an educational theory or framework that complement or intersect with the Zone of Proximal Development. Comment on others' comments.
Now, read the following chapter:
Complementary journalistic readings:
Make a comment: Connect any aspect raised above with a contemporary issue or example in society or education. Comment on others' comments.
Essential readings:
Make a comment: In what ways the ideas surrounding Cyber-Social Intelligence can change the nature of learning? How does the role of the teacher change? Comment on others' comments.
Social media video: Transpositional grammar
Further readings:
Revise the following text to gain a deeper understanding of binary computing, the Turing Test, and the transpositional grammar:
Make a comment: Find and analyse an example of a digital technology that can complement human meaning more effectively than they can imitate it. Optionally, you can explain how this example is related to 'transpositional grammar.' Comment on others' comments.
Read the following text: Agency
Make a comment: Find and describe a platform, area of study, or example that intersects with any aspect discussed above. OR Connect an aspect raised on the videos with a contemporary issue in society or education. Comment on others' comments.
Further readings exploring aspects of transpositional grammar:
Make a comment: As we have seen, in transpositional grammar every meaning expresses five meaning-functions: reference, agency, structure, context, and interest. Choose one or more of these functions and relate to the work that you do or your field of study.
Make a comment: Reflecting on the concept of interaction log data, choose an online educational tool or specialized software that you have used for learning. Describe how the interactions you have had with the environment have influenced your learning experience. Comment on others' comments.
Make a comment: To what extent do you believe it is important to identify patterns in students' engagement and behaviors in online learning environments? Based on your experience, what specific types of student behavior do you consider relevant to understand in these learning settings?
Make a comment: Choose any aspect from the videos about knowledge, human skill acquisition, and cognitive structures. Explain it and share the main takeaways. Comment on others' comments.
Make a comment: Find and describe an example of an application of AI in education. OR Identify and describe a platform, field of study, or instance that intersects with any of the topics discussed above.
Make a comment: Find an example of an educational practice that involves the use of mobile devices. Describe the dynamics of this practice, identify learning outcomes, and note any limitations. OR Find and describe a framework for the effective use of mobile devices in education. Comment on others' comments.
Essential readings:
Make a comment: The learning resources above mention various contemporary terms related to education today. Select any of these topics and explore its connection to the interaction between machine learning and human intelligence.