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Author

Yevdokiya Yermolayeva

Other affiliations: Georgetown University
Bio: Yevdokiya Yermolayeva is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Computer-mediated communication & Causal reasoning. The author has an hindex of 3, co-authored 6 publications receiving 1941 citations. Previous affiliations of Yevdokiya Yermolayeva include Georgetown University.

Papers
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Journal ArticleDOI
TL;DR: For instance, this article found that 92 undergraduates completed a diary-like measure each day for a week, reporting daily time use and responding to an activities checklist to assess their use of the popular social networking site, Facebook.

1,997 citations

Journal ArticleDOI
TL;DR: The authors argue that the U-and N-shaped curves found in a number of studies across a range of developmental areas are a product of domain-general learning and propose that developmental scientists' knowledge of the meaning of this pattern can aid the theoretical interpretation of data as well as experimental design to incorporate a sufficiently inclusive range of ages.
Abstract: A longstanding and fundamental debate in developmental science is whether knowledge is acquired through domain-specific or domain-general mechanisms. To date, there exists no tool to determine whether experimental data support one theoretical approach or the other. In this article, we argue that the U- and N-shaped curves found in a number of studies across a range of developmental areas are a product of domain-general learning. This pattern arises through a combination of improving cognitive capacities, which allow for different levels of processing, and emergent constraints on learning. We propose that developmental scientists' knowledge of the meaning of this pattern can aid the theoretical interpretation of data as well as experimental design to incorporate a sufficiently inclusive range of ages.

18 citations

Journal ArticleDOI
TL;DR: It is proposed that connectionist networks stand to make a powerful contribution to the generation and revision of theories of early child development, and insights from connectionist models of early development can improve the understanding of developmental changes throughout the life span.
Abstract: Connectionist models have been applied to many phenomena in infant development including perseveration, language learning, categorization, and causal perception. In this article, we discuss the benefits of connectionist networks for the advancement of theories of early development. In particular, connectionist models contribute novel testable predictions, instantiate the theorized mechanism of change, and create a unifying framework for understanding infant learning and development. We relate these benefits to the 2 primary approaches used in connectionist models of infant development. The first approach employs changes in neural processing as the basis for developmental changes, and the second employs changes in infants� experiences. The review sheds light on the unique hurdles faced by each approach as well as the challenges and solutions related to both, particularly with respect to the identification of critical model components, parameter specification, availability of empirical data, and model comparison. Finally, we discuss the future of modeling work as it relates to the study of development. We propose that connectionist networks stand to make a powerful contribution to the generation and revision of theories of early child development. Furthermore, insights from connectionist models of early development can improve the understanding of developmental changes throughout the life span. (PsycINFO Database Record (c) 2013 APA, all rights reserved)

15 citations

Journal ArticleDOI
TL;DR: It is suggested that the ability to learn second-order correlations represents a powerful but as yet largely unexplored process for generalization in the first years of life.

9 citations

01 Jan 2013
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2 citations


Cited by
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Journal ArticleDOI
TL;DR: The theme of the volume is that it is human to have a long childhood which will leave a lifelong residue of emotional immaturity in man.
Abstract: Erik Eriksen is a remarkable individual. He has no college degrees yet is Professor of Human Development at Harvard University. He came to psychology via art, which explains why the reader will find him painting contexts and backgrounds rather than stating dull facts and concepts. He has been a training psychoanalyst for many years as well as a perceptive observer of cultural and social settings and their effect on growing up. This is not just a book on childhood. It is a panorama of our society. Anxiety in young children, apathy in American Indians, confusion in veterans of war, and arrogance in young Nazis are scrutinized under the psychoanalytic magnifying glass. The material is well written and devoid of technical jargon. The theme of the volume is that it is human to have a long childhood which will leave a lifelong residue of emotional immaturity in man. Primitive groups and

4,595 citations

Journal ArticleDOI
TL;DR: It is shown that enjoyment is the most influential factor in people's continued use of SNS, followed by number of peers, and usefulness, and the findings suggest that gender difference also produces different influences.

1,472 citations

Journal ArticleDOI
TL;DR: The findings indicate that SNSs are predominantly used for social purposes, mostly related to the maintenance of established offline networks, and extraverts appear to use social networking sites for social enhancement, whereas introverts use it for social compensation.
Abstract: Social Networking Sites (SNSs) are virtual communities where users can create individual public profiles, interact with real-life friends, and meet other people based on shared interests. They are seen as a 'global consumer phenomenon' with an exponential rise in usage within the last few years. Anecdotal case study evidence suggests that 'addiction' to social networks on the Internet may be a potential mental health problem for some users. However, the contemporary scientific literature addressing the addictive qualities of social networks on the Internet is scarce. Therefore, this literature review is intended to provide empirical and conceptual insight into the emerging phenomenon of addiction to SNSs by: (1) outlining SNS usage patterns, (2) examining motivations for SNS usage, (3) examining personalities of SNS users, (4) examining negative consequences of SNS usage, (5) exploring potential SNS addiction, and (6) exploring SNS addiction specificity and comorbidity. The findings indicate that SNSs are predominantly used for social purposes, mostly related to the maintenance of established offline networks. Moreover, extraverts appear to use social networking sites for social enhancement, whereas introverts use it for social compensation, each of which appears to be related to greater usage, as does low conscientiousness and high narcissism. Negative correlates of SNS usage include the decrease in real life social community participation and academic achievement, as well as relationship problems, each of which may be indicative of potential addiction.

1,427 citations

Journal ArticleDOI
TL;DR: The authors conducted a comprehensive literature search, identifying 412 relevant articles, which were sorted into 5 categories: descriptive analysis of users, motivations for using Facebook, identity presentation, the role of Facebook in social interactions, and privacy and information disclosure.
Abstract: With over 800 million active users, Facebook is changing the way hundreds of millions of people relate to one another and share information. A rapidly growing body of research has accompanied the meteoric rise of Facebook as social scientists assess the impact of Facebook on social life. In addition, researchers have recognized the utility of Facebook as a novel tool to observe behavior in a naturalistic setting, test hypotheses, and recruit participants. However, research on Facebook emanates from a wide variety of disciplines, with results being published in a broad range of journals and conference proceedings, making it difficult to keep track of various findings. And because Facebook is a relatively recent phenomenon, uncertainty still exists about the most effective ways to do Facebook research. To address these issues, the authors conducted a comprehensive literature search, identifying 412 relevant articles, which were sorted into 5 categories: descriptive analysis of users, motivations for using Facebook, identity presentation, the role of Facebook in social interactions, and privacy and information disclosure. The literature review serves as the foundation from which to assess current findings and offer recommendations to the field for future research on Facebook and online social networks more broadly.

1,148 citations

Journal ArticleDOI
TL;DR: Results indicate that Facebook use was significantly negatively predictive of engagement scale score and positively predictive of time spent in co-curricular activities, and some Facebook activities were positively predicting of the dependent variables, while others were negatively predictive.
Abstract: Educators and others are interested in the effects of social media on college students, with a specific focus on the most popular social media website-Facebook. Two previous studies have examined the relationship between Facebook use and student engagement, a construct related to positive college outcomes. However, these studies were limited by their evaluation of Facebook usage and how they measured engagement. This paper fills a gap in the literature by using a large sample (N = 2368) of college students to examine the relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Student engagement was measured in three ways: a 19-item scale based on the National Survey of Student Engagement, time spent preparing for class, and time spent in co-curricular activities. Results indicate that Facebook use was significantly negatively predictive of engagement scale score and positively predictive of time spent in co-curricular activities. Additionally, some Facebook activities were positively predictive of the dependent variables, while others were negatively predictive.

1,069 citations