Month: March 2020

Inspiring Your Students to Write, Cite, and Avoid Plagiarism

There may be no more serious issue for a student than facing an academic conduct hearing because of plagiarism. This certainly is not part of the expected college experience for students or parents. Faculty, however, often struggle with creating approaches that focus on why and how academic writing and the associated documenting guidelines enhance a student’s ability to communicate their thoughts and ideas.

Rather than focusing first on the negative impacts of not implementing citation guidelines, Moore (2019) confirms students with limited experiences in research writing at the college level will often make mistakes in documentation and attribution. She suggests four strategies to detect writing issues, avoid academic conduct issues, and help improve the student’s ability to avoid recurring mistakes by using “plagiarize-proof” assignments that: 1) evaluate your expectations for student research literacy, 2) include unique or individualized elements into assignments, 3) require an annotated bibliography before the assignment due

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The New Friends Bingo Icebreaker Activity

If your goal is to help students learn about one another and connect with students they may not usually talk to, then the New Friends Bingo icebreaker may be a good choice for you!

New Friends Bingo allows students to interact with one another while playing a modified version of Bingo. Using a Bingo table, details about potential student characteristics are recorded in each square. You might choose to record simple information about students like “has brown hair” or “owns a cat”; or you might have some fun and create more unique details that might help make some meaningful connections like “loves comics” or “speaks a language other than English or Spanish .”Students are then asked to roam around the classroom, introduce themselves to each other, and then attempt to find a detail that matches the person they are speaking to. If a student finds a friend with a detail

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1703.07950 Failures Of Gradient

Figure 7 from Failures of Deep Learning | Semantic Scholar

Deep learning is a type of machine learning that permits computer systems to be taught from experience and perceive the world by way of a hierarchy of concepts. Because the pc gathers data from expertise, there isn’t any want for a human laptop operator to formally specify all the knowledge that the pc wants. The hierarchy of ideas permits the computer to learn difficult concepts by building them out of easier ones; a graph of these hierarchies would be many layers deep. This ebook introduces a broad vary of topics in deep studying.

Jeff Dean is a Wizard and Google Senior Fellow in the Systems and Infrastructure Group at Google and has been involved and perhaps partially accountable for the scaling and adoption of deep studying within Google. Jeff was involved within the Google Brain challenge and the event of huge-scale deep learning software program DistBelief and later TensorFlow.

An …

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