learning goals

Check out HUIT Generative Artificial Intelligence for guidelines and resources for the use of AI.

Generative AI is a type of artificial intelligence that can learn from and mimic large amounts of data to create content such as text, images, music, videos, code, and more, based on inputs or prompts. The University supports responsible experimentation with Generative AI tools, but there are... Read more about Check out HUIT Generative Artificial Intelligence for guidelines and resources for the use of AI.

Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence

The advent of generative artificial intelligence (AI) offers transformative potential in the field of education. The study explores three main areas: (1) How did ChatGPT answer questions related to science education? (2) What are some ways educators could utilise ChatGPT in their science pedagogy?... Read more about Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence

Reimagining STEM Learning Objectives in Response to Generative AI


image of Vijay Janapa ReddiVijay Janapa Reddi, Associate Professor (SEAS) and director of the Edge Computing Lab, is an applied machine learning computer architect. As a scholar with deep knowledge of how artificial intelligence (AI) works, Janapa Reddi offers a unique perspective on both the challenges and opportunities generative AI presents. Generative AI platforms, such as ChatGPT, are changing how students interact with course material and setting new standards for the skills necessary for future professional fields. While Janapa Reddi is cautious about implementing exercises that leverage such platforms in his COMPSCI 141: Computing Hardware course, he suggests that faculty seize this moment to reevaluate their teaching objectives and consider how they can support students to develop the skills they will need to navigate and use these new technologies in their careers. Imagine a future where every engineer is supported by a personalized AI assistant, offering guidance throughout their processes, enabling them to design optimal, robust, secure, and highly efficient systems.

Using a student cohort to test and innovate new training materials


Tyler GianniniSusan FarbsteinTyler Giannini and Susan Farbstein, Clinical Professors of Law, pull back the curtain on pedagogy for students in the seminar Advanced Skills Training in Strategic Human Rights Advocacy by making them part of a learning community and giving them ownership over the learning process. For example, each year students work to improve simulations in which they originally were participants, in an earlier prerequisite seminar attached to the International Human Rights Clinic

What are Outcomes? (Canvas)

Canvas, Harvard’s learning management system, enables instructors to track students’ progress as measured by pedagogical goals or desired outcomes. 

Defining learning objectives: Pre-semester, and all semester


Tony Gomez-IbanezJosé A. (Tony) Gómez-Ibáñez, Derek C. Bok Professor of Urban Planning and Public Policy, who holds appointments at the GSD and HKS, defines the learning objectives of his course prior to the start of the semester and references them to frame each individual class session: “I use the first five minutes to place each class in the course – ‘The last class we talked about X and today we want to see how those ideas might apply to Y.’”

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