Interesting claims in this presentation about teacher strengths relative to AI: https://sway.cloud.microsoft/CqKZjoSsoTvWoTMB?ref=Link I’m assessing each one by one below. “Teacher Strengths in Relation to language model ChatGPT:” “Artificial intelligence is an efficient tool that can support teachers in many ways, but it cannot replace many of the important tasks and roles of teachers.” >> ok […]
Thoughts on integrating GenAI in education at bachelor’s level
Sharing some thoughts, based on a discussion with colleagues, on how generative AI should (and should not) be intergrated into teaching at bachelor’s degree level. First, in my opinion, teachers should have the final authority to decide if and how AI will be used in their courses. University can (and should) give guidelines, but it […]
Rediscovering Digital Divide with GenAI
With digital tools, we keep rediscovering the same truth, which is that they increase the productivity differences (performance) between people. Prolific people become more prolific and non-prolific become relatively worse off. Consider a simple example from the previous generation: ad platforms. Compare Copywriter A (mediocre) and Copywriter B (skilled). The skilled copywriter can draw huge […]
Different personas representing AI attitudes
Different personas representing AI attitudes: All these types have their own reasons and backgrounds for touting the message that they toute. I personally prefer the silent doers who are less vocal and therefore harder to find. I prefer them because learning from them helps me apply lessons to my job.
How to make PhD students graduate on time
Wrote down some of my thoughts on this matter. This is a guide to educators (PDF, 6 pages): How to make PhD students graduate on time (UPDATE: V2 now behind the link)
Lecture notes on artificial intelligence and machine learning in marketing
Wrote lecture notes based on the course with the same name in the University of Vaasa. Download the lecture notes on AI and ML in marketing.
How to write up machine learning experiments? Here’s a process to follow
It’s sometimes difficult, especially for newcomers, to understand all the steps of a machine learning (ML) analysis. Here’s a practical list of the items I’m myself considering when leading an ML research project. Our use of ML is applied; we do research related to social computing (also known as computational social sciences), marketing, analytics, and […]
The Triangulated Attribution Model
This is a practical, conceptually sound attribution framework we have been developing with Mr. Tommi Salenius who is the Head of E-commerce in a fast-growing international e-commerce company. The point is this: >90% of e-commerce companies (just an educated guess based on our experience) solely rely on analytics to attribute sales to channels and campaigns. […]
All Forms of Analytics with Their Definitions
DISCLAIMER: This post was produced in collaboration with AI (ChatGPT-4, September 2023 version). The content has been verified by a human subject matter expert for veracity and relevance and modified where appropriate. There are many forms of ‘analytics’, like ‘web analytics’, ‘digital analytics’, and ‘marketing analytics’. Are these different forms of analytics all the same […]
The Definitive List of Quantitative Persona Research (Read these to get a foundational understanding of persona research)
Here’s the reading list I recommend to “newcomers” in quantitative persona research (e.g., Master’s students, PhD candidates): More persona research can be found at the persona research page. PDF version are available from the researchers upon request: Dr. Joni Salminen, email: [email protected].