Future of Writing in the Disciplines and Professions (White Paper)

This paper addresses the challenges faced in writing instruction and propose a solution using generative AI technology.  The main takeaways from the paper are as follows:

Comparing the quality of human and ChatGPT feedback of students’ writing (Paper)

The paper titled “Comparing the quality of human and ChatGPT feedback of students’ writing” delves into the realm of automated writing evaluation (AWE) and examines the effectiveness of generative AI, such as ChatGPT, in providing formative feedback to students. The study compares the quality of feedback provided by human evaluators and ChatGPT on secondary student

#AI academic literature search tool- comparison table

Kimberley Pace Becker and her team published a helpful comparison table that explains which tool might work better in certain situations. (Source) 1.Consensus 2.Litmaps 3.Scite 4.Research Rabbit 5.Elicit 6.SciSpace

The Three Layers of AI-Augmentation by James A.Presbitero Jr.

Yesterday I came across an interesting text about the appropriate use of AI in writing and a framework called “The Three Layers of AI-Augmentation.” The author, James A.Presbitero Jr., explores different levels of AI integration in writing and identifies three layers: Core, Mantle, and Crust. The framework suggests that the appropriateness of AI usage depends

Exploring AI Pedagogy: A Community Collection of Teaching Reflections

“The MLA-CCCC Joint Task Force on Writing and AI was established to address pedagogical needs related to generative AI. Since being formed, the task force has sent out a survey to its constituents, published a resource guide, released a working paper on the risks and benefits of generative AI, and hosted a number of public information forums for educators