Reasons for Student Engagement in Extra-Class Communication     

Stacy L. Young  Manuel D. Pulido  Catherine F. Brooks 《Communication Research Reports》2018,35(2):172-177

This study extends instructional communication research on extra-class communication (ECC) by presenting an integrative analysis comparing the explanatory utility of student- and instructor-oriented reasons for student engagement in frequent ECC. Results from 495 college students suggested that student-oriented reasons, specifically the relational and functional student motives, were the only significant, positive predictors of students’ perceptions of frequent ECC engagement. Other student motives (excuse making, participation, sycophancy) and perceptions of instructor approachability did not significantly predict perceived frequency of ECC engagement.  相似文献   

It’s More Than Self-Presentation: MUM Effects Can Reflect Private Discomfort and Concern for the Recipient     

Jayson L. Dibble 《Communication Research Reports》2018,35(2):112-120

Is the reluctance to share bad news (i.e., the MUM effect) motivated more by a public display or private concern, and does it benefit mainly the messenger or the recipient? An experiment (N = 309) that crossed good/bad news with three communication channels (face-to-face, text messaging, e-mail) revealed that messenger reluctance was greatest under conditions of bad news and did not vary based on the channel through which the recipient contacted the messenger. In contrast with earlier work, this MUM effect was more consistent with a private fear of distressing the recipient. Theoretical implications and limitations are discussed.  相似文献   

Alexa,Siri, Cortana,and More: An Introduction to Voice Assistants     

Matthew B. Hoy 《Medical reference services quarterly》2018,37(1):81-88

Voice assistants are software agents that can interpret human speech and respond via synthesized voices. Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana, and Google’s Assistant are the most popular voice assistants and are embedded in smartphones or dedicated home speakers. Users can ask their assistants questions, control home automation devices and media playback via voice, and manage other basic tasks such as email, to-do lists, and calendars with verbal commands. This column will explore the basic workings and common features of today’s voice assistants. It will also discuss some of the privacy and security issues inherent to voice assistants and some potential future uses for these devices. As voice assistants become more widely used, librarians will want to be familiar with their operation and perhaps consider them as a means to deliver library services and materials.  相似文献   

Concerns of some semiprofessionals working in professionally directed programs     

M J Fitch  R V Cadol  G Martinez  B Montgomery  L Lottie  B Smith 《Exceptional children》1971,37(8):587-591

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Developing Pre-service Elementary Teachers’ Pedagogical Practices While Planning Using the Learning Cycle     

Danielle K. Ross  Jennifer L. Cartier 《Journal of Science Teacher Education》2015,26(6):573-591

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Evening electronic device use and sleep patterns in athletes     

Maddison J. Jones  Brian Dawson  Daniel F. Gucciardi  Peter R. Eastwood  Joanna Miller  Shona L. Halson 《Journal of sports sciences》2019,37(8):864-870

The present study aimed to investigate pre-sleep behaviours (including evening electronic device use) and sleep quantity in well-trained athletes. Seventy well-trained athletes (44 females, 26 males) aged 21 ± 4 y from a range of team and individual sports were asked to complete an online sleep diary for 7 days. The sleep diary included questions about pre-sleep behaviours (e.g. napping, caffeine intake), electronic device use in the 2 h prior to bedtime (e.g. type of device and duration of use) and sleep (e.g. time in bed, sleep onset latency). On average, athletes spent 8:20 ± 1:21 h in bed each night. Associations between age, time in bed and sleepiness suggested that younger athletes spent more time in bed (B = -0.05, p = 0.001) but felt sleepier (r = -0.32, p < 0.01) than older athletes. On average, athletes mostly used electronic devices for 0–30 min prior to sleep. The use of multiple devices in the evening was associated with more perceived difficulty in falling asleep (B = 0.22, p = 0.03), but no associations existed with other sleep variables. In summary, younger athletes may require later start times or improved sleep quality to resolve excessive sleepiness.  相似文献   

The End of an Era     

Matthew C. Woessner 《Academic Questions》2015,28(4):464-471

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American Women's Wartime Dress: Sociocultural Ambiguity Regarding Women's Roles During World War II          下载免费PDF全文

Martha L. Hall  Belinda T. Orzada  Dilia Lopez‐Gydosh 《Journal of American culture (Malden, Mass. : 2003)》2015,38(3):232-242

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William A. Fischel. Making the Grade: The Economic Evolution of American School Districts. Chicago: University of Chicago Press, 2009. 304 pp. Cloth $55.00.     

Ethan L. Hutt 《History of education quarterly》2011,51(4):562-565

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The Death and Life of the Great American School System: How Testing and Choice Are Undermining Education by Diane Ravitch     

ARNOLD L. MITCHEM 《History of education quarterly》2011,51(3):424-426

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