The Effect of ePortfolio Satisfaction on Students’ Learning Motivation and Internet Self-efficacy

This study aims to investigate the effect of e-Portfolio satisfaction on students’ learn­ing motivation and Internet self-efficacy toward the use of e-Portfolio. The data collected for this study occurred over 3 months. Participants were 450 students taking the course of common at an university. The counting of 443 questionnaires was received. The findings revealed that there were positive correlations between learning motivation, Internet self-efficacy, and e-Portfolio satisfac­tion. For gender, the result showed that there were no significant Internet self-efficacy differences between gender. Besides, there were the significant differences in learning motivations and in Internet self-efficacy between the two groups. Furthermore, the multistep regression analysis in­dicated that the learning motivation was the significant predictor of Internet self-efficacy, and In­ternet self-efficacy was the significant predictor of e-Portfolio satisfaction. Based on the findings, educators and researchers needed to pay attention to these influences and take these factors into consideration in e-Portfolio. The study concludes by assessing the overall gains and shortcomings of the reform effort toward using the e-Portfolio to help student self-learning

Evaluating e-portfolio Using by Learning Stages: A Case Study in an Interdisciplinary Program

This study conducts an investigation of posts in the e-portfolio platform of the program: “The interdisciplinary training program for talented college students in science.” Participants in this program were supposed to show their learning portfolios on this platform. Among the 2150 registered students, we randomly selected 126 students who have made at least 3 posts to become the target sample. By identifying the learning stages and posting styles shown by their posts, we find that students are mostly in the surface learning stages and weak in completing their learning portfolios. The results suggest that more strategies should be learned in e-portfolio use. In addition, some related issues about learning performance are also discussed

The Polygenic and Monogenic Basis of Blood Traits and Diseases

Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation. Analysis of blood cell traits in the UK Biobank and other cohorts illuminates the full genetic architecture of hematopoietic phenotypes, with evidence supporting the omnigenic model for complex traits and linking polygenic burden with monogenic blood diseases

A snapshot of students’ blogging profiles in Taiwan: From the viewpoint of knowledge sharing

In this era of Web 2.0, many young people are keeping blogs sharing their ideas, their feelings or their hobbies as a way of showing themselves. Taiwan, as a leading area of information technology, is not an exception. To explore the characteristics of blogging profiles of student bloggers in Taiwan, this study conducted a content analysis on a popular blog website. 157 student bloggers of three educational levels were recruited as participants. The results showed that there were both significant gender and educational level differences in knowledge sharing levels among participants, while blogroll links, posting categories, and blogging purposes also showed some interesting facts. These findings provide some insights of students’ blogging and may give educators or sociologists some implications

Web content adaptation for mobile device: A fuzzy-based approach

While HTML will continue to be used to develop Web content, how to effectively and efficiently transform HTML-based content automatically into formats suitable for mobile devices remains a challenge. In this paper, we introduce a concept of coherence set and propose an algorithm to automatically identify and detect coherence sets based on quantified similarity between adjacent presentation groups. Experimental results demonstrate that our method enhances Web content analysis and adaptation on the mobile Internet

Editorial: Advanced learning technologies

Recent rapid development of advanced information technology brings high expectations of its potential to improvement and innovations in learning. This special issue is devoted to using some of the emerging technologies issues related to the topic of education and knowledge sharing, involving several cutting edge research outcomes from recent advancement of learning technologies. Advanced learning technologies are the composition of various related technologies and concepts such as mobile technologies and social media towards learner centered learning. This editorial note provides an overview of relevant issues discussed in this special issue

Building an e-portfolio learning model: Goal orientation and metacognitive strategies

Recent wide acceptance of e-Portfolios has occurred because researchers believe it helps promote students’ learning in higher education. This study uses goal orientation theory to investigate the relationship between goal orientations, metacognitive strategies, and enjoyment when students use e-Portfolio. This paper contributes to research by goal orientation, metacognitive strategies and enjoyment to explain student learning behavior when using e-Portfolio to providing further evidence. A sample of 219 university students took part in this research to verify the proposed model. The study employs structural equation modeling with the LISREL to explain the model. The results show that students’ mastery goals for using e-Portfolio have a positive effect on their metacognitive strategies and enjoyment. Performance-approach goals have a negative effect on metacognitive strategies and a positive effect on enjoyment. Performance-avoidance goals have a positive effect on metacognitive strategies. Students’ enjoyment has a positive effect on their metacognitive strategies, and mastery goals can predict metacognitive strategies through enjoyment. This paper also discusses study findings and implications for future research

Supporting CSCW and CSCL with Intelligent Social Grouping Services

Carnegie Mellon Silicon Valle

Using Description Logics for the Provision of Context-Driven Content Adaptation Services

Carnegie Mellon Silicon Valle