Chat GPT Has Colleges in Emergency Mode to Shield Academic Integrity

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Colleges around the country have been holding emergency meetings of their honor code councils or other committees that govern student cheating.

The reason: a whole new kind of cheating that is suddenly possible, thanks to a new AI tool called Chat GPT. The technology, which emerged just a couple of months ago, can answer just about any question you type into it, and can adapt those answers into a different style or tone on command.

At Texas State University, for instance, professors across the campus began emailing the honor code council with cries for help.

“So many professors right now are struggling with burnout and disengagement and so many

 other things already, that even those that embrace paradigm shifts are at minimum sighing—ugh, this is another thing for me to pay attention to,” says Rachel Davenport, a senior lecturer in biology at the university who serves as vice chair of the honor code council.

He was telling me about how he’s starting to use AI tools with his students that can turn code written in one programming language into code in another language. It’s called GitHub Copilot, and it’s kind of like Chat GPT but for computing.

4th Edition of International Academic Meet on 24-25 February 2023, Netherland.

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WhatsApp Chat GPT Integration via GitHub Project Lets Users Add AI to Conversations: Details

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WhatsApp Chat GPT Integration via GitHub Project Lets Users Add AI to Conversations: Details

WhatsApp is arguably the world’s most popular messaging service, and the Meta-owned messaging service also offers a version of the app for businesses that supports basic automated responses. On the other hand, Chat GPT, the wildly popular chatbot from San Francisco startup Open AI has seen users cross the 100 million mark in record time.

Developer Daniel Gross has developed an open source integration called WhatsApp-GPT, which is hosted on GitHub. Written in Python and the Go programming language (Golang), the service must be run via the terminal (command line) and requires a WhatsApp account registered with a phone number. The chatbot will be run in a separate browser window in order to respond to chats, according to the developer. 

The readme file for the project states that users must run two scripts, one in Golang and a sever script in Python. They will also be able to test a “multichat” script to “watch to Chat GPTs talk to each other”, according to the project’s developer. 

4th Edition of International Academic Meet on 24-25 February 2023, Netherland.

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NASA and ESA Exploring New Joint Satellite Mission Concepts

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About the NASA

     NASA and ESA (European Space Agency) have worked together on multiple missions to advance our understanding of the Sun and its effect on Earth. To continue this collaboration, the two agencies formed the ESA/NASA Lower Thermosphere-Ionosphere Science, or ENLoTIS, working group in May 2022.

     In this working group, the agencies are exploring future lower thermosphere-ionosphere (LTI) satellite mission concepts. The aim is to improve our understanding of ion-neutral interactions in the “transition region” between Earth’s atmosphere and space, at altitudes from approximately 60 to 125 miles (or from about 100 to 200 km) altitude, while complementing other missions in development, including the Geospace Dynamics Constellation (GDC) and the Dynamical Neutral Atmosphere-Ionosphere Coupling (DYNAMIC) mission.

   

      The working group enables cooperation between NASA and ESA by reviewing and consolidating consensus science questions or goals, mission objectives, and high-level mission requirements that would inform the eventual definition and design of one or more future LTI mission concepts.

   

  

ENLoTIS leverages knowledge from past and current mission studies while using input and feedback from the research community. The group will also identify scientific and technical challenges and constraints, and balance science and feasibility when considering the definition of mission concepts.

4th Edition of International Academic Meet on 24-25 February 2023, Netherland.

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Smart Phone/Ecological Momentary Assessment of Sleep and Daytime Symptoms Among Older Adults With Insomnia

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Objectives:

To employ smart phone/ecological momentary assessment (EMA) methods to evaluate the impact of insomnia on daytime symptoms among older adults.


Design:

Prospective cohort study SETTING: Academic medical center PARTICIPANTS: Twenty-nine older adults with insomnia (M age = 67.5 ± 6.6 years, 69% women) and 34 healthy sleepers (M age = 70.4 ± 5.6 years, 65% women).


Measurements:

Participants wore an actigraph, completed daily sleep diaries, and completed the Daytime Insomnia Symptoms Scale (DISS) via smart phone 4x/day for 2 weeks (i.e., 56 survey administrations across 14 days).


Results:

Relative to healthy sleepers, older adults with insomnia demonstrated more severe insomnia symptoms in all DISS domains (alert cognition, positive mood, negative mood, and fatigue/sleepiness). A series of mixed model analyses were performed using the Benjamini-Hochberg procedure for correcting false discovery rate (BH-FDR) and an adjusted p-value <0.05. Among older adults with insomnia, all five prior-night sleep diary variables (sleep onset latency, wake after sleep onset, sleep efficiency, total sleep time, and sleep quality) were significantly associated with next-day insomnia symptoms (i.e., all four DISS domains). The median, first and third quintiles of the effect sizes (R2) of the association analyses were 0.031 (95% confidence interval (CI: [0.011,0.432]), 0.042(CI: [0.014,0.270]), 0.091 (CI:[0.014,0.324]).


Conclusion:

Results support the utility of smart phone/EMA assessment among older adults with insomnia. Clinical trials incorporating smart phone/EMA methods, including EMA as an outcome measure, are warranted.


Keywords:

Sleep; ecological momentary assessment; insomnia; mobile health; older adults.



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