Self-efficacy for self-regulated learning, academic self-efficacy, and internet self-efficacy in web-based instruction

Effects of student motivation on performance in Web-based instruction (WBI) were examined. In particular, applicability of the self-efficacy theory to WBI contexts was tested. A total of 152 junior high school students in Seoul, Korea, participated in WBI during regular science classes. Participants completed motivational surveys before the onset of WBI and took the written and search tests at the end of WBI. Path analyses revealed that students' self-efficacy for self-regulated learning positively related to their academic self-efficacy, strategy use, and Internet self-efficacy. Academic self-efficacy predicted students' performance on the written test, which comprised problems on topics covered during the previous WBI sessions. Students' scores on the WBI search test were significantly and positively predicted by their self-efficacy in using the Internet. More interesting, students' academic self-efficacy beliefs were not able to predict their search test performance, whereas students' Internet self-efficacy beliefs were not able to predict their written test performance.This research is based on data collected as part of Ha-Jeen Choi's master's thesis completed at Ewha Womans University.The authors thank Steven Ross and three anonymous reviewers for their helpful comments on earlier versions of this article.     

Age Differences in Online Social Networking: Extending Socioemotional Selectivity Theory to Social Network Sites

This article extends socioemotional selectivity theory to online social networking by examining age differences in the size and composition of Facebook networks across a wide age range of Facebook users (18 to 93 years old) in a nationally representative sample. Findings suggest increasing selectivity of Facebook social partners with age. Compared to younger adults, friend networks of older adults are smaller but contain a greater proportion of individuals who are considered to be actual friends. Moreover, a higher proportion of actual to total Facebook friends is associated with lower levels of social isolation and loneliness across the life span.     

Jamming and unjamming transition of oil-in-water emulsions under continuous temperature change

To analyze the jamming and unjamming transition of oil-in-water emulsions under continuous temperature change, we simulated an emulsion system whose critical volume fraction was 0.3, which was validated with experimental results under oscillatory shear stress. In addition, we calculated the elastic modulus using the phase lag between strain and stress. Through heating and cooling, the emulsion experienced unjamming and jamming. A phenomenon—which is when the elastic modulus does not reach the expected value at the isothermal system—occurred when the emulsion system was cooled. We determined that this phenomenon was caused by the frequency being faster than the relaxation of the deformed droplets. We justified the relation between the frequency and relaxation by simulating the frequency dependency of the difference between the elastic modulus when cooled and the expected value at the same temperature.     

Estimation fusion of nonlinear cost functions with application to multisensory Kalman filtering

This paper focuses on four fusion algorithms for the estimation of nonlinear cost function (NCF) in a multisensory environment. In multisensory filtering and control problems, NCF represents a nonlinear multivariate functional of state variables, which can indicate useful information of the target systems for automatic control. To estimate the NCF using multisensory information, we propose one centralized and three decentralized estimation fusion algorithms. For multivariate polynomial NCFs, we propose a simple closed-form computation procedure. For general NCFs, the most popular procedure for the evaluation of their estimates is based on the unscented transformation. The effectiveness and estimation accuracy of the proposed fusion algorithms are demonstrated with theoretical and numerical examples.     

Designing a business model for financial products for cultural heritage in the Korean market

There are many contingent valuation (CV) studies to estimate the economic benefits of cultural heritage, but few provided advice on the design of financial products for cultural heritage assets. This paper conducted conjoint and willingness-to-pay (WTP) analyses for providing the design implication of these financial products. We calculated WTP for each attribute. The result of conjoint analysis shows that people prefer a short period of investment, high-expected rate of return and small amount of money invested. Only the amount invested and the rate of return on investment are significant to estimate WTP for these financial products.     

Can EFL Speakers Communicate in English-mediated Classes?: A Case of a Liberal Arts Class for Engineering Students in Korea

The purpose of this paper is twofold: (1) to explore what factors prevent English as a foreign language (EFL) students from participating in English-medium instruction classes; and (2) to examine how dialogic teaching techniques enhance students’ participation in classroom interaction. Utilizing the notions of “communicative competence” and “truncated repertoire,” we first investigated the barriers to communication in classrooms. We next examined how EFL speakers are able to communicate in English-medium instruction (EMI) classes. The findings suggest that when the instruction was designed to reduce cultural barriers and to facilitate authentic discussion, EFL students were able to participate in classroom interaction, and they perceived discussion as a way to learn an unfamiliar subject taught in English.     

The importance of morphological awareness in Korean–English biliteracy acquisition

This study examined the importance of morphological awareness in Korean–English biliteracy acquisition. English is an opaque orthographic system, in which letters and sounds have indirect correspondences. Korean Hangul, on the other hand, is a transparent orthographic system where there are direct letter-sound correspondences. Sixty-five children from Grades 2 to 4 were tested on a set of comparable Korean and English tasks tapping into oral vocabulary, phonemic awareness, morphological awareness, real word reading, and passage reading comprehension. Results showed that morphological awareness explained a significant amount of variance in word reading and reading comprehension within both Korean Hangul and English, suggesting that morphological awareness is important not only in an opaque orthography but also in a transparent orthography. Furthermore, morphological awareness in one language uniquely predicted a significant amount of variance in reading real words in the other language, suggesting that morphological awareness facilitates word reading across different orthographies.     

Incremental cue phrase learning and bootstrapping method for causality extraction using cue phrase and word pair probabilities

This work aims to extract possible causal relations that exist between noun phrases. Some causal relations are manifested by lexical patterns like causal verbs and their sub-categorization. We use lexical patterns as a filter to find causality candidates and we transfer the causality extraction problem to the binary classification. To solve the problem, we introduce probabilities for word pair and concept pair that could be part of causal noun phrase pairs. We also use the cue phrase probability that could be a causality pattern. These probabilities are learned from the raw corpus in an unsupervised manner. With this probabilistic model, we increase both precision and recall. Our causality extraction shows an F-score of 77.37%, which is an improvement of 21.14 percentage points over the baseline model. The long distance causal relation is extracted with the binary tree-styled cue phrase. We propose an incremental cue phrase learning method based on the cue phrase confidence score that was measured after each causal classifier learning step. A better recall of 15.37 percentage points is acquired after the cue phrase learning.     

Political Discussion,Political News,and Internet Use: Factors of Media Trust in South Korea

This study examines political and communicative factors predicting trust in mainstream newspapers and television by analyzing a set of survey data collected in South Korea. The results show that supporters of the opposition party are less likely to trust the mainstream news media than supporters of the ruling party. Daily Internet use negatively predicted trust in media only for nonpartisans. However, for supporters of the opposition party, daily Internet use moderated the interaction effect between political discussion and exposure to political news on trust in media.     

Adaptive relevance feedback method of extended Boolean model using hierarchical clustering techniques

The relevance feedback process uses information obtained from a user about a set of initially retrieved documents to improve subsequent search formulations and retrieval performance. In extended Boolean models, the relevance feedback implies not only that new query terms must be identified and re-weighted, but also that the terms must be connected with Boolean And/Or operators properly. Salton et al. proposed a relevance feedback method, called DNF (disjunctive normal form) method, for a well established extended Boolean model. However, this method mainly focuses on generating Boolean queries but does not concern about re-weighting query terms. Also, this method has some problems in generating reformulated Boolean queries. In this study, we investigate the problems of the DNF method and propose a relevance feedback method using hierarchical clustering techniques to solve those problems. We also propose a neural network model in which the term weights used in extended Boolean queries can be adjusted by the users’ relevance feedbacks.