This lesson will serve as an overview of the motivation, values, and principles necessary to enhance character and leadership development. This represents a portion of the Introduction to Agriculture, Food, and Natural Resources (AFNR) series in Nebraska middle and high school agricultural education.

8 Character traits are a part of this unit. Each lesson is 30 minutes. There is a Google document on each trait that can be delivered directly to students. The student document contains items to read and videos to watch. The student document could be shown to an entire class or it could be viewed individually. Each character trait also has a teacher document titled as Discussion/Activity for use the following day in class.

This course will emphasize basic security concepts (authentication, confidentiality, accounting and integrity), apply these concepts to computer networks, and amplify the theory with hands-on aspects of configuring and using secure networks. Topics include: review of networking concepts, general security concepts, user authentication and authorization, encryption, network attacks (including hacking, viruses, worms and denial of service) and network protection. Defense tools including firewalls, Virtual Private Networks (VPNs), and filters will be discussed in depth, as they relate to effective and safe e-commerce and other applications in the real world. Case studies along with projects will be assigned and performed.

This course provides an exciting, eye-opening, and thoroughly useful inquiry into what it takes to live an extraordinary life, on your own terms. The instructors address what it takes to succeed, to be proud of your life, and to be happy in it. Participants tackle career satisfaction, money, body, vices, and relationship to themselves. They learn how to confront issues in their lives, how to live life, and how to learn from it.
A short version of this course meets during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. Then this semester-long extension of the IAP course is taught to interested members of the MIT community. This not-for-credit course is sponsored by the Department of Science, Technology, and Society. A similar, semester-long version of this course is taught in the Sloan Fellows Program.
Acknowledgment
The instructors would like to thank Prof. David Mindell for his sponsorship of this course, his hopes for its continued expansion, and his commitment to the well-being of MIT students.

Numerous biases are believed to affect the scientific literature, but their actual prevalence across disciplines is unknown. To gain a comprehensive picture of the potential imprint of bias in science, we probed for the most commonly postulated bias-related patterns and risk factors, in a large random sample of meta-analyses taken from all disciplines. The magnitude of these biases varied widely across fields and was overall relatively small. However, we consistently observed a significant risk of small, early, and highly cited studies to overestimate effects and of studies not published in peer-reviewed journals to underestimate them. We also found at least partial confirmation of previous evidence suggesting that US studies and early studies might report more extreme effects, although these effects were smaller and more heterogeneously distributed across meta-analyses and disciplines. Authors publishing at high rates and receiving many citations were, overall, not at greater risk of bias. However, effect sizes were likely to be overestimated by early-career researchers, those working in small or long-distance collaborations, and those responsible for scientific misconduct, supporting hypotheses that connect bias to situational factors, lack of mutual control, and individual integrity. Some of these patterns and risk factors might have modestly increased in intensity over time, particularly in the social sciences. Our findings suggest that, besides one being routinely cautious that published small, highly-cited, and earlier studies may yield inflated results, the feasibility and costs of interventions to attenuate biases in the literature might need to be discussed on a discipline-specific and topic-specific basis.

Learn how you can set and meet effective goals!

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Welcome to Personal Responsibility! In this course you will learn about integrity and other personal motivators.
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