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Word of the Day: saturnine

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This word has appeared in five articles on NYTimes.com in the past year. Can you use it in a sentence?

2024 Black Friday Sale | 40% Off | Limited Time Offer!

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What Green, Yellow and Red Flags Do You Look For When It Comes to Dating?

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What behaviors or actions from a potential partner tell you to go ahead, slow down or hit the brakes?

A Surprise

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Tell us a story, real or made up, that is inspired by this image.

Word of the Day: provost

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This word has appeared in 87 articles on NYTimes.com in the past year. Can you use it in a sentence?

What’s Going On in This Graph? | Dec. 4, 2024

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What do you notice and wonder about the severity of drought in the U.S.?

What’s Going On in This Picture? | Dec. 2, 2024

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Look closely at this image, stripped of its caption, and join the moderated conversation about what you and other students see.

Coursera Partners with Saudi Arabia’s MCIT to Launch Programs Supporting Vision 2030 and Developing Future-Ready Digital Talent

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Coursera Partners with Saudi Arabia’s MCIT to Launch Programs Supporting Vision 2030 and Developing Future-Ready Digital Talent

By Jeff Maggioncalda, CEO Coursera 

Today, we are excited to announce the launch of the Saudi Generative AI and Tech Freelancers programs, a collaboration between Saudi Arabia’s Ministry of Communications and Information Technology (MCIT), Coursera, and the National eLearning Center. 

These programs aim to equip Saudi citizens with the in-demand skills needed to thrive in today’s dynamic economy. Through practical, job-relevant training, they directly support Vision 2030’s goals of driving digital transformation and positioning Saudi Arabia as a regional leader in technology and innovation.

The Saudi Generative AI Program focuses on developing hands-on expertise in artificial intelligence, with an emphasis on empowering technical professionals and innovators. Participants will gain practical experience with cutting-edge AI tools, enabling them to create innovative solutions and contribute to Saudi Arabia’s rapidly growing technology sector. 

Complementing the AI program, the Saudi Tech Freelancers Program prepares citizens for opportunities in the fast-growing digital freelance economy. By offering courses from top universities and industry experts, the program combines technical skills-building with business fundamentals to empower specialists, job seekers, and entrepreneurs. This comprehensive approach helps participants tap into global freelancing markets while strengthening Saudi Arabia’s role in the international digital services market. 

Key features of the Saudi Generative AI and Tech Freelancers programs:

  • Practical, hands-on training in AI and freelancing to develop future-ready digital skills.
  • Courses from world-class universities and industry experts covering both technical expertise and business fundamentals.
  • Targeted learning pathways for technical professionals, job seekers, entrepreneurs, and freelancers. 
  • Opportunities to work with cutting-edge AI tools, create innovative solutions, and access global freelancing markets.
  • Aligned with Saudi Vision 2030 to foster a digitally skilled workforce and drive innovation across Saudi Arabia’s economy. 

As AI reshapes industries and transforms the nature of work, digital skills have become essential for success in tomorrow’s economy. Our partnership with MCIT is a key contribution to Saudi Arabia’s Vision 2030, supporting both human capital development and economic diversification. By providing citizens with access to in-demand skills through Coursera, we are not just building a talent pool—we are cultivating a workforce ready to drive innovation, fuel economic growth, and solidify Saudi Arabia’s leadership in the global digital economy.To register for the Saudi Tech Freelancers and Generative AI programs, visit Saudi Generative AI and Saudi Tech Freelancers. To learn more about Coursera for Government, visit coursera.org/government.

Improving College Student Outcomes with Course Policies that Support Autonomy (Part 2)

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Improving College Student Outcomes with Course Policies that Support Autonomy (Part 2)

Cover image by Kei from Pixabay

By Megan Sumeracki

Last week, my blog post covered a paper by Simon Cullen and Daniel Oppenheimer. Their paper is titled Choosing to Learn: The Importance of Student Autonomy in Higher Education (1). In their paper, they present two studies.

The first study, covered in Part 1, was a randomized controlled field study examining the effects of allowing students to choose whether their attendance was mandatory. Let’s review: In study one, the researchers randomly assigned sections of a college course to have one of two different course policies. Under one policy, the students’ attendance was required, and affected their grade (positively if they missed no more than 3 classes, and negatively if they missed more). Under the other policy, students got to choose. They opted in to the same attendance policy as the other sections, or they opted out and attendance wasn’t tracked nor did it affect their grade. The main takeaways were: 1) most students opted into the attendance policy (about 90%); and, 2) attendance was a bit better, and significantly more consistent throughout the semester, in the sections that made the policy optional relative to the sections that made the policy mandatory.

In the second study, the authors conducted a cohort study examining the effects of allowing students to opt out of challenging, high-effort assessments. This study is the topic of today’s post.

Study 2: Opting out of Challenging, High-Effort Assessments

The authors motivated this study, in particular, by noting that regular assessments and feedback are important for students. However, if students have assignments that are worth very little to their grade, they may not spend as much time and effort. And, forcing students to complete so many assessments can reduce autonomy and have negative effects (e.g., spending less time and effort, procrastinating, or skipping assignments). If instructors weigh assignments more heavily in the final grade, that could push students to spend more time and effort, but then the stress of these assignments could end up hurting student learning and student well-being. Thus, the authors are trying to find a way to encourage students to put forth a lot of effort without such high-stakes assessments.

The Method

The authors tested a course policy in which students were given assessment options and were allowed to choose, compared to mandatory policies. The study was conducted with college students taking an introductory philosophy course across two semesters (i.e., there were two cohorts of students*).

*Note: Students were not randomly assigned to conditions, but rather were in one condition or the other based on when they took the course (their cohort). This makes determining cause-and-effect relationships more difficult. You can see this blog post on research methods to read about these issues. The authors did look at a number of variables, such as seniority, major, etc. and found no statistical differences between the two cohorts. Still, without random assignment, even at the section level like in the first study, the authors cannot rule out alternate causes (or “confounds”). The authors rightly acknowledge this.

One cohort of students had a mandatory assignment policy. The students were required to complete 20 “argument analysis” problem sets.

The second cohort of students had a free-to-switch assignment policy. These students could choose between the problem sets and an alternative essay-based assignment. The essay assignments required less work than the problem sets, and included answering weekly reading questions and writing 5-page midterm and final essays. All students were told about the relative difficulty of the two assignment tracks, and students could switch into the lower-effort (essay) track at any point before the midterm.

When students completed assignments, they self-reported how much time they spent. The professor graded the assignments for the class. Students earned 0, 1, or 2 points on each of the problem sets. To earn at least 1 point, students needed to submit a “meaningful attempt” before the deadline.

Let’s Discuss: ‘Our Rodent Selfies, Ourselves’

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What can two rats teach us about our addiction to social media? Read the article and post your comments and questions for Emily Anthes by Dec. 5.