witherspoon
Reese Witherspoon felt like a 'robot' that 'broke' after difficult year with divorce
Mickey Guyton said she was nervous meeting Reese Witherspoon because she did not want to be "disappointed." As a widely successful actress and producer, Reese Witherspoon consistently presents herself as a formidable force in Hollywood. Now, "The Morning Show" star is revealing she recently reached her breaking point, admitting she "cried and cried." "I've been trying really hard to find balance outside of work," Witherspoon told attendees of her Hello Sunshine's Shine Away event, per E! Online. "I'm a person who fills my schedule with busyness, so that I feel less alone or less nervous or less unsettled."
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7 TV shows you need to watch in April 2023
April promises to be an exciting month for streaming TV. Popular shows are returning this month for second seasons, including Apple TV's Schmigadoon! Then there's HBO's Somebody Somewhere, which is back for season 2 on April 23. But there are exciting new shows premiering this month as well that are worth checking out. Amazon Prime Video, for example, has an interesting gender-reversed version of David Cronenberg's 1988 movie Dead Ringers, starring Rachel Weisz in the role previously portrayed by Jeremy Irons.
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Is AI the Next CRM Battleground? - Enterprise Apps Today
Is AI the Next CRM Battleground? Posted December 8, 2016 By Artificial intelligence is helping sales and marketing professionals do a better job of getting the right messages to the right prospects. Artificial Intelligence (AI) is getting a lot of attention of late. Salesforce unleashed a torrent of hype about Einstein, Microsoft is countering with AI features built into Dynamics 365, and of course IBM continues to hit prime time with Watson ads featuring the likes of Bob Dylan and Stephen Hawking. EnterpriseAppsToday.com recently delved into this area in Where is AI Headed in the Enterprise.
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Issues in the Measurement of Cognitive and Metacognitive Regulatory Processes Used During Hypermedia Learning
Azevedo, Roger (University of Memphis) | Moos, Daniel C. (University of Memphis) | Witherspoon, Amy M. (University of Memphis) | Chauncey, Amber D. (University of Memphis)
The goal of this paper is to present four key assumptions regarding the measurement of cognitive and metacognitive regulatory processes used during learning with hypermedia. First, we assume it is possible to detect, trace, model, and foster SRL processes during learning with hypermedia. Second, understanding the complex nature of the regulatory processes during learning with hypermedia is critical in determining why certain processes are used throughout a learning task. Third, it is assumed that the use of SRL processes can dynamically change over time and that they are cyclical in nature (influenced by internal and external conditions and feedback mechanisms). Fourth, capturing, identifying, and classifying SRL processes used during learning with hypermedia is a rather challenging task.
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