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The Behavioral Sciences In the Age of AI (I) AI世代的人類行為干預

behavioral biases, nudge theory, 輕推理論
Free tutorial
Rating: 4.5 out of 5 (2 ratings)
314 students
1hr 52min of on-demand video
English
English [Auto]

Understand what behavioral economics is
Understand the factors that influence human behavior.
Develop more effective intervention plans for your own predictions.
Learn how to create ethical intervention actions for your target audience.

Requirements

  • Without any prerequisite, you will have the opportunity to enhance your essential knowledge of effectively intervening human behavior after taking this course.

Description

This course is conducted in English (with Chinese subtitles 英語發音,中文字幕).

This course introduces you to the science of human behavior, especially the behavioral biases and nudge theory that are essential for precision marketing in business. The course features English pronunciation and Chinese subtitles, and each unit includes a set of multiple-choice questions.

The goal of the course is to cultivate learners who have acquired data-driven decision-making, AI, predictive modeling, and data science skills to combine with behavioral science across disciplines. Through the planning of effective proactive intervention programs, such as "behavioral change technology" and "self-regulation methods," learners can fully demonstrate the behavior science of AI-driven precision decision-making in the digital transformation wave of AI applications (such as precision education and marketing).Unit 1: Introduction to Human Behavioral Science

  • Unit 1: Introduction to Human Behavioral Science

  • Unit 2: Obstacles to Human Behavior

  • Unit3: Nudge Theory

The course is designed for teachers to lead students in understanding and evaluating real-world cases.

Students will be able to design effective and ethical AI precision decision-making intervention plans.

The overall goal of the course:

  1. Students will be able to explain how AI-driven behavior change through precise decision-making can add value to various industries.

  2. Students will be able to design effective and ethical AI precision decision-making intervention plans based on behavioral science.

Who this course is for:

  • This course is suitable for all data scientists and business professionals in management roles who are interested in integrating predictive analytics of artificial intelligence with behavioral economics.

Instructor

Yung-Hsiang Hu
  • 3.7 Instructor Rating
  • 7 Reviews
  • 510 Students
  • 2 Courses

I am currently an associate professor at the General Education Center of National Yunlin University of Science and Technology in Taiwan. I have previously served as the Executive Director of the Office of Institutional Research, and have extensive experience in analyzing education big data.

Online Teaching Experience

I have created a MOOCs course titled "Design Thinking of Big Data," which has been recognized for cross-campus general education credits by multiple universities in recent years.

The course has been recommended by the Taiwan Asia Silicon Valley Office and the Ministry of Education's Big Data and Artificial Intelligence Program.

It has also been recommended as an online learning course by the Hsinchu Science Park in Taiwan.

I have taught the course on both the Sharecourse platform of National Tsing Hua University and the Ewant platform of National Chiao Tung University.


Industry-Academia Collaboration with Listed Companies

I have collaborated with listed companies to apply artificial intelligence (AI) and digital transformation to human resources (HR) in talent cultivation.

I have also developed e-learning courses for these companies.

In addition, I have utilized learning analytics and predictive analytics to enhance the learning experience.

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