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Reference Mode Preferences of Community College (Two-Year) and Four-Year College Students: A Comparison Study

机译:社区大学(两年制)和四年制学生参考模式偏好:比较研究

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Abstract Objective – The purpose of this study was to examine the reference service mode preferences of community college (two-year) and four-year college students. Methods – The researchers administered a paper-based, face-to-face questionnaire at two institutions within the City University of New York system: Hunter College, a senior college, and Queensborough Community College, a two-year institution. During the summer of 2015, the researchers surveyed 79 participants, asking them to identify their most and least preferred mediums for accessing library reference services. Results – Nearly 75% of respondents expressed a preference for face-to-face reference, while only about 18% preferred remote reference services (online chat, e-mail, text message, and telephone). Close to 84% of the participants cited remote reference services as their least preferred modes and slightly more than 10% said this of face-to-face. The data reveal a widespread popularity of face-to-face reference service among all types of participants regardless of institutional affiliation, age, gender, academic level, field of study, and race or ethnicity. Conclusion – This study suggests that given the opportunity academic library users will utilize face-to-face reference service for assistance with research assignments. Academic libraries at both two-year and four-year institutions might consider assessing user views on reference modes and targeting support toward services that align with patron preferences.
机译:摘要目的–本研究的目的是研究社区大学(两年制)和四年制大学生的参考服务模式偏好。方法–研究人员在纽约市大学系统内的两个机构(一个高级学院的Hunter学院和一个两年制的Queensborough社区学院)管理了一份纸面的,面对面的问卷。在2015年夏季,研究人员对79位参与者进行了调查,要求他们确定他们最喜欢和最不喜欢的媒介来访问图书馆参考服务。结果–将近75%的受访者表示倾向于面对面参考,而只有约18%的受访者偏爱远程参考服务(在线聊天,电子邮件,短信和电话)。接近84%的参与者认为远程参考服务是他们最不喜欢的方式,略多于10%的参与者表示是面对面的。数据显示,面对面参考服务在所有类型的参与者中都得到了广泛的普及,而与机构的归属,年龄,性别,学历,研究领域,种族或民族无关。结论–该研究表明,大学图书馆用户将有机会利用面对面参考服务来协助研究任务。两年制和四年制机构的大学图书馆可能会考虑评估用户对参考模式的看法,并针对与顾客偏爱相匹配的服务提供支持。

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