The aim of this study is clustering students according to their gamification user types and learning styles with the purpose of providing instructors with a new perspective of grouping students in case of clustering which cannot be done by hand when there are multiple scales in data. The data used consists of 251 students who were enrolled at a Turkish state university. When grouping students, K-means algorithm has been utilized as clustering algorithm. As for determining the gamification user types and learning styles of students, Gamification User Type Hexad Scale and Grasha-Riechmann Student Learning Style Scale have been used respectively. Silhouette coefficient is utilized as clustering quality measure. After fitting the algorithm in several ways, highest Silhouette coefficient obtained was 0.12 meaning that results are neutral but not satisfactory. All the statistical operations and data visualizations were made using Python programming language.

A few years ago, at the Princeton Club in Manhattan, I chanced on a memorable chat with the Harvard psychologist Steven Pinker. His spouse, the philosopher Rebecca Goldstein, with whom he was tagging along, had been invited onto a panel to discuss the conflict between religion and science and Einstein's so-called "God letter," which was being auctioned at Christie's. Pinker had recently published Enlightenment Now: The Case for Reason, Science, Humanism, and Progress. I was eager to pepper him with questions, mainly on religion, rationality, and evolutionary psychology. I remember I wanted Pinker's take on something Harvey Whitehouse, one of the founders of the cognitive science of religion, told me in an interview--that my own little enlightenment, of becoming an atheist in college, was probably mostly a product of merely changing my social milieu. I wasn't so much moved by rational arguments against the ethics and existence of God but by being distanced from my old life and meeting new, non-religious friends. I recall Pinker almost pouncing on that argument, defending reason's power to change our minds. He noted that people especially high in "intellectance," a personality trait now more commonly called "openness to experience," tend to be more curious, intelligent, and willing to entertain new ideas. I still think that Pinker's way of seeing things made more sense of my experience in those heady days. I really was, for the first time, trying my best to think things through, and it was exhilarating. We talked until the event staff shelved the wine, and parted ways at a chilly midtown intersection.

Not all tech billionaires are advocates of artificial intelligence (AI). Some are so worried about the effects AI is having on society that they are spending their billions trying to monitor it. This, in turn, has created a new frontier in philanthropy. For Pierre Omidyar, the founder of eBay, AI is such a concern that last year he set up Luminate, a London-based organization that advocates for civic empowerment, data and digital rights, financial transparency, and independent media. Pierre Omidyar, the founder of eBay, has supported monitoring artificial intelligence.

The list of existential threats to mankind on which wealthy philanthropists have focused their attention -- catastrophic climate change, pandemics and the like -- has a new addition: artificially intelligent machines that turn against their human creators. Artificial intelligence (AI) could pose a threat "greater than the danger of nuclear warheads, by a lot", according to Elon Musk, the entrepreneur behind electric car maker Tesla. As the author James Barrat put it, a superhuman intelligence, equipped with the ability to learn but without the ability to empathise, might well be Our Final Invention. Even if the machines are not going to kill us, there are plenty of reasons to worry AI will be used for ill as well as for good, and that advances in the field are coming faster than our ability to think through the consequences. Between facial recognition and autonomous drones, AI's potential impact on warfare is already obvious, stirring employee concern at Google and other pioneers in the field.

If you've ever used Skype or shared files on Kazaa back in the early '00s, you've encountered the work of Jaan Tallinn. And if humans wind up creating machines that surpass our own intelligence, and we live to tell about it -- we might have Tallinn's philanthropy, in small part, to thank. Tallinn, whose innovations earned him tens of millions of dollars, was one of the first donors to take seriously arguments that advanced artificial intelligence poses a threat to human existence. He has come to believe we might be entering the first era in human history where we are not the dominant force on the planet, and that as we hand off our future to advanced AI, we should be damned sure its morality is aligned with our own. He has donated more than $600,000 to the Machine Intelligence Research Institute, a prominent organization working on "AI alignment" (that is, aligning the interests of an AI with the interests of human society) and more than $310,000 to the Future of Humanity Institute at Oxford, which works on similar subjects.

Not all tech billionaires are advocates of artificial intelligence (AI). Some are so worried about the effects AI is having on society that they are spending their billions trying to monitor it. This, in turn, has created a new frontier in philanthropy. For Pierre Omidyar, the founder of eBay, AI is such a concern that last year he set up Luminate, a London-based organization that advocates for civic empowerment, data and digital rights, financial transparency, and independent media. Pierre Omidyar, the founder of eBay, has supported monitoring artificial intelligence.

Jeff Bezos, the world's richest man and one frequently tagged a cheapskate when it comes to giving away money, has emerged as a leading philanthropist. According to the latest Philanthropy 50 list, a ranking of America's top 50 donors compiled by the Chronicle of Philanthropy, Bezos actually made more charitable donations than anyone else in the US last year, including philanthropists with comparable fortunes such as former New York mayor Michael Bloomberg and Microsoft's Bill Gates. Bezos, who holds Amazon stock valued at about $137bn, contributed a total of $2bn to good causes in 2018 through his Bezos Day One Fund, a philanthropic vehicle founded by his soon-to-be ex-wife MacKenzie Bezos. According to the foundation's website, the Bezos fund was established to support existing not-for-profits addressing homelessness and poverty, in addition to funding preschool education in low-income communities. While the Bezos gifts may still be far behind Gates' lifetime donations of about $45bn to global poverty alleviation and education, or Bloomberg's current $6bn in gifts, his surprise entry into the top 50 comes as overall giving among the group declined by half last year compared to 2017.

Billionaire Paul Allen, who founded US software giant Microsoft with Bill Gates in the 1970s, died on Monday at the age of 65 after his latest battle with cancer, his family said. Allen said earlier this month he was being treated for non-Hodgkin's lymphoma, the same kind of cancer he battled and overcame nearly a decade ago. He was first diagnosed when he was CEO of Microsoft. Allen was the man who persuaded school-friend Bill Gates to drop out of Harvard to start what became the world's biggest software company. Allen left Microsoft in 1983 - before the company became a corporate juggernaut - following a dispute with Gates, but his share of their original partnership allowed him to spend the rest of his life and billions of dollars on yachts, art, rock music, sports teams, brain research and real estate.

Research on interference has provided evidence that the formation of dependencies between non-adjacent words relies on a cue-based retrieval mechanism. Two different models can account for one of the main predictions of interference, i.e., a slowdown at a retrieval site, when several items share a feature associated with a retrieval cue: Lewis and Vasishth's (2005) activation-based model and McElree's (2000) direct access model. Even though these two models have been used almost interchangeably, they are based on different assumptions and predict differences in the relationship between reading times and response accuracy. The activation-based model follows the assumptions of ACT-R, and its retrieval process behaves as a lognormal race between accumulators of evidence with a single variance. Under this model, accuracy of the retrieval is determined by the winner of the race and retrieval time by its rate of accumulation. In contrast, the direct access model assumes a model of memory where only the probability of retrieval varies between items; in this model, differences in latencies are a by-product of the possibility and repairing incorrect retrievals. We implemented both models in a Bayesian hierarchical framework in order to evaluate them and compare them. We show that some aspects of the data are better fit under the direct access model than under the activation-based model. We suggest that this finding does not rule out the possibility that retrieval may be behaving as a race model with assumptions that follow less closely the ones from the ACT-R framework. We show that by introducing a modification of the activation model, i.e, by assuming that the accumulation of evidence for retrieval of incorrect items is not only slower but noisier (i.e., different variances for the correct and incorrect items), the model can provide a fit as good as the one of the direct access model.

Paul G. Allen was an investor and philanthropist. He created and advanced world-class projects and high-impact initiatives that changed and improved the way people live, learn, work, and experience the world through arts, education, entertainment, sports, business, and technology. He cofounded Microsoft with Bill Gates in 1975 and remained the company's chief technologist until he left Microsoft in 1983. Allen founded Vulcan Inc. in 1986 and the Experience Music Project, now the Museum of Pop Culture, in 2000. With lifetime giving of about $1 billion, Allen was named one of the top philanthropists in America.