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Self-efficacy

Self-efficacy
Self-efficacy is the extent or strength of one's belief in one's own ability to complete tasks and reach goals.[1] Psychologists have studied self-efficacy from several perspectives, noting various paths in the development of self-efficacy; the dynamics of self-efficacy, and lack thereof, in many different settings; interactions between self-efficacy and self-concept; and habits of attribution that contribute to, or detract from, self-efficacy. This can be seen as the ability to persist and a person's ability to succeed with a task. As an example, self-efficacy directly relates to how long someone will stick to a workout regimen or a diet. High and low self-efficacy determine whether or not someone will choose to take on a challenging task or "write it off" as impossible. Self-efficacy affects every area of human endeavor. Theoretical approaches[edit] Social cognitive theory[edit] Social learning theory[edit] Self-concept theory[edit] Main article: Self-concept Attribution theory[edit] 1. 2.

Locus of control In personality psychology, locus of control refers to the extent to which individuals believe that they can control events that affect them. Understanding of the concept was developed by Julian B. Rotter in 1954, and has since become an aspect of personality studies. A person's "locus" (Latin for "place" or "location") is conceptualized as either internal (the person believes they can control their life) or external (meaning they believe that their decisions and life are controlled by environmental factors which they cannot influence, or by chance or fate).[1] Individuals with a high internal locus of control believe that events in their life derive primarily from their own actions: for example, when receiving test results, people with an internal locus of control would tend to praise or blame themselves and their abilities, whereas people with an external locus of control would tend to praise or blame an external factor such as the teacher or the test.[2] History[edit] Applications[edit]

הבעיה של גוגל: צירוף של מספרים לא בהכרח מניב מסקנות נכונות - גלובל - אתר חדשות כלכלה ונתוני בורסה מישראל ומהעולם TheMarker דה מרקר ניק בילטון מ"ניו יורק טיימס": "אנחנו ממהרים להשתמש בנתונים של גוגל ושוכחים כי מדובר באסופת מספרים שמתעלמת מההקשר" לפני מספר שנים גוגל יצרה משוואה מפוארת שיכולה לפענח כמה אנשים חולים ברגע מסוים בשפעת. החשבון עבד כך: מיקום האדם יחד עם חיפוש הקשור לשפעת במנוע גוגל בתוספת אלגוריתמים חכמים במיוחד: מספר האנשים בארה"ב החולים בשפעת. ניק בילטון מספר בבלוג ב"ניו יורק טיימס" כי בעוד לפי נתוני גוגל, בחורף הנוכחי 11% מאוכלוסית ארה"ב היתה חולה בשפעת, ולפי מאמר שפורסם במגזין המדעי Nature, האלגוריתמים של גוגל שגויים והתוצאות כפולות לעומת הנתונים של המרכז האמריקאי לפיקוח על מחלות שמדווח על 6% מהאמריקאים חלו בשפעת. לפי בילטון, ייתכן שהבעיה באלגוריתם של גוגל היא כי הוא מסתכל על מספרים, ולא על תוכן. "בעולם של היום, המידע נמצא בכל מקום. בילטון מוסיף חוויה דומה שהתרחשה כאשר לימד באוניברסיטת ניו יורק ב-2010. לפי תוצאות הניסוי, סטודנטים השתמשו במעליות בשעות הבוקר, כנראה כי עוד היו עייפים מהלילה, ובלילות עברו לשימוש במדרגות.

Depressive realism Evidence for[edit] Evidence against[edit] When asked to rate both their performance and the performance of another, non-depressed individuals demonstrated positive bias when rating themselves but no bias when rating others. Criticism of the evidence[edit] Some have argued that the evidence is not more conclusive because there is no standard for "reality," the diagnoses are dubious, and the results may not apply to the real world.[33] Because many studies rely on self-report of depressive symptoms, the diagnosis of depression in these studies may not be valid as self-reports are known to often be biased, necessitating the use of other objective measures. See also[edit] References[edit] Jump up ^ Alloy,L.B., Abramson,L.Y. (1988). Further reading[edit] Rachel Adelson (April 2005).

<FM modulated doppler radar for human gesture sensing> a measurement device by Godfried-Willlem Raes a doppler radar based gesture measurement system capable of delivering positional information by dr.Godfried-Willem Raes postdoctoral researcher Ghent University College & Logos Foundation This technical note is a continuation of reports on many earlier designs for gesture sensing apparatus using both sonar and radar technologies. Doppler based microwave devices can be used to make pretty good movement sensors with a range from very nearby to about 20 meters. For the project we are reporting here, the following devices are examined: MDU1100 (Microwave Solutions Ltd.): X-band, operating microwave frequency is specified at 10.587 GHz. MDU2400 (Microwave Solutions Ltd).: K-band, operating microwave frequency 24.2 GHz. RSM1700 (Conrad), IPM170 (Microsense), Amiwima DRM-24 (Allsat Gmbh) devices operating around 24.125 GHz. Doppler formula: fd = 2 v fo / c fo = operational frequency c = speed of light fd = Doppler frequency v = movement speed in line with the antenna expressed in m/s Software Dr.

Metacognition Metacognition is defined as "cognition about cognition", or "knowing about knowing". It comes from the root word "meta", meaning beyond.[1] It can take many forms; it includes knowledge about when and how to use particular strategies for learning or for problem solving.[1] There are generally two components of metacognition: knowledge about cognition, and regulation of cognition.[2] Metamemory, defined as knowing about memory and mnemonic strategies, is an especially important form of metacognition.[3] Differences in metacognitive processing across cultures have not been widely studied, but could provide better outcomes in cross-cultural learning between teachers and students.[4] Some evolutionary psychologists hypothesize that metacognition is used as a survival tool, which would make metacognition the same across cultures.[4] Writings on metacognition can be traced back at least as far as De Anima and the Parva Naturalia of the Greek philosopher Aristotle.[5] Definitions[edit] [edit]

Big-Bang Disruption By now any well-read executive knows the basic playbook for saving a business from disruptive innovation. Nearly two decades of management research, beginning with Joseph L. Bower and Clayton M. Christensen’s 1995 HBR article, “Disruptive Technologies: Catching the Wave,” have taught businesses to be on the lookout for upstarts that offer cheap substitutes to their products, capture new, low-end customers, and then gradually move upmarket to pick off higher-end customers, too. When these disrupters appear, we’ve learned, it’s time to act quickly—either acquiring them or incubating a competing business that embraces their new technology. But the strategic model of disruptive innovation we’ve all become comfortable with has a blind spot. That advice hasn’t been much help to navigation-product makers like TomTom, Garmin, and Magellan. The disruption here hasn’t come from competitors in the same industry or even from companies with a remotely similar business model. A Difference in Kind

1-800-GOOG-411: Find and connect with local businesses for free Speak instead of type, using your voice to control your phone or tablet. Search the web and your phone, call your contacts, send emails, get directions and listen to music, all without worrying about having to type. Only on Android Eight UX Design Trends for 2013 One of the best things about user experience design is that the consumer products and services it helps to crystallize are always evolving. With that level of change comes all sorts of speculation about the future. Speculating is fun. Downsampling The Onion hit it spot-on when they joked that 90% of our waking lives are spent staring at glowing rectangles. Little Printer skims headlines from your online feeds and spits them out as low-fi ticker tape for your bedside. Foodism Food has replaced art as high culture. This year, specialized products, processes, and mobile applications will catalyze new levels of culinary geekiness. Quantifed Ambition “How to win friends and influence people” has been the core ambition of go-getters since Dale Carnegie’s influential 1936 book of the same name hit shelves. Augmented Dialogue Mobile tech has already stepped in to help us search and discover, navigate, and buy stuff. Sensory Bandwidth Agile Economies Faceted Video Key indicators? RetroFuturism

Dunning–Kruger effect Cognitive bias about one's own skill The Dunning–Kruger effect is a cognitive bias in which people with limited competence in a particular domain overestimate their abilities. Some researchers also include the opposite effect for high performers: their tendency to underestimate their skills. In popular culture, the Dunning–Kruger effect is often misunderstood as a claim about general overconfidence of people with low intelligence instead of specific overconfidence of people unskilled at a particular task. The Dunning–Kruger effect is usually measured by comparing self-assessment with objective performance. For example, participants may take a quiz and estimate their performance afterward, which is then compared to their actual results. There are disagreements about what causes the Dunning–Kruger effect. There are disagreements about the Dunning–Kruger effect's magnitude and practical consequences. Definition[edit] David Dunning Measurement, analysis, and investigated tasks[edit] [edit]

InSight team's wearable glass system identifies people by clothes (Phys.org) —Researchers from the University of South Carolina and Duke are proposing a "visual fingerprint" app that can be used with smartphones and wearable camera displays such as Google Glass. Their paper, "Recognizing Humans without Face Recognition," explored techniques that can jointly leverage camera-enabled glasses, an offering that is still in the wings, and phones, to pick out any individual based on what the person is wearing. The team behind the InSight project developed and tested a prototype system that can pick out people by their clothes and other accessories. The system was developed by Srihari Nelakuditi, associate professor of computer science and engineering at the University of South Carolina, along with three colleagues at Duke University, He Wang, Xuan Bao, and Romit Roy Choudhury. How InSight works: A smartphone app creates a person's "fingerprint" by taking a series of pictures of the person. What's the point of the app? What's the limitation?

Hacker challenge sites, A list of hacker challenge sites Hackthi Hackthissite - A nice site (even though it has been having problems recently) including basic web challenges, "realistic" missions, basic cracking and encryption challenges. ngsec - A great website, with some tough final challenges. Including SQL Injection and some Buffer overflow challenges. Try2Hack - - One of the most well known hacking challenge sites, its levels are basic and ideal for those new to security. Hackerslab - A great site with levels based around unix security, you'll either want to use linux or have a copy of putty to complete any of these challenges. SlyFX - A great challenge site, starts off with some basic maths and moves onto solving application problems (starts with some basic debugging and moves onto solving stuff) Mod-X - Never completed this site, got a little bored with it. I will be posting the others as i will get..

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