Chia- Chen

A smart assistant toward product-awareness shopping

This research employs sensor techniques (i.e., radio-frequency identification system) in developing a smart assistant for home furniture shopping. The implemented assistant provides friendly accessed interface that allows consumers to easily locate the product, confirm the detail information of it, and moreover, provide real-time recommendation(s) in accordance with interests of consumers. Unlike conventional online stores, the system offers the retailer extra spaces for varieties of merchandize, eliminated duplicated products display, etc. In addition, the assistant can avoid an unnecessary crashing of huge shopping carts in a crowded situation. This research discusses a new shopping pattern implemented by a smart assistant with the integration of consumer, retailer, and warehouse sides. In addition, an application is provided on smart phones in conjunction with the system to improve the competiveness in the market and increase the loyalty of their consumers. The experiment results demonstrate that collected data from end users (e.g., consumer, warehouse, and retailer itself) may provide essential information to revise business models.

Credit rating analysis with support vector machines and artificial bee colony algorithm

Recently, credit rating analysis for financial engineering has attracted many research attentions. In the previous, statistical and artificial intelligent methods for credit rating have been widely investigated. Most of them, they focus on the hybrid models by integrating many artificial intelligent methods have proven outstanding performances. This research proposes a newly hybrid evolution algorithm to integrate artificial bee colony (ABC) with the support vector machine (SVM) to predict the corporate credit rating problems. The experiment dataset are select from 2001 to 2008 of Compustat credit rating database in America. The empirical results show the ABC-SVM model has the highest classification accuracy. Hence, this research presents the ABC-SVM model could be better suited for predicting the credit rating.

How do we inspire children to learn with e-readers?

Purpose – Mobile handheld e-readers, such as the iPad and Kindle, have gained increased attention in schools and are becoming useful as a tool to attract students to learn and read. Although the benefits of mobile learning are clear, few studies have delved into the specific factors impacting the adoption and use of e-readers among elementary students. Moreover, the question of whether learning with e-readers can enhance reading comprehension remains unanswered. Given these facts, the study has a dual purpose. In order to explore the above-mentioned factors, the authors base the proposed research model on the task-technology fit (TTF) and self-efficacy theories, along with the technology acceptance model. Second, the authors examine the relationship between reading with e-readers and reading comprehension. The paper aims to discuss these issues. Design/methodology/approach – A sample of 60 third grade children participated in the study. The reading material used in this research was an e-book edition of t...

Comparing the determinants of non-MOOC and MOOC continuance intention in Taiwan: Effects of interactivity and openness

Purpose Massive open online courses (MOOCs) differ from non-MOOC e-learning platforms mainly in terms of degree of openness, with MOOCs designed to maximize learner access and interaction. The purpose of this paper is to propose a new research model to explore intention to continue to use MOOCs from the perspectives of openness and interactivity, based on related theories and dimensions from previous research. Design/methodology/approach In order to evaluate the effectiveness of the MOOC platform, two online survey questionnaires were developed and e-mailed to the all of the university students in Taichung, Taiwan. The first one and second one are the same except the construct openness. The first one was delivered in late 2015 while the second one was delivered in the middle 2016. After the authors eliminated incomplete responses and duplicates, 995 and 854 usable responses from platform users remained, respectively, and were used to test the relationships in the model. Findings The model can account for more than 75 percent of the variance in continuance intention. The research results affirm prior findings that satisfaction has a strong direct influence on intention. Among the three interaction factors, human-message interaction on the platform has the strongest effect on satisfaction. This study found that the effects of interactions and motivation on MOOC and non-MOOC platforms were consistent and similar. Moreover, perceived openness was found to influence usage intention but its effects were relative low. Originality/value The model demonstrated good explanatory power for continued intention in the context of MOOCs. This study provides a better understanding of the relationships among interactions, motivations, perceived openness, and continuance intention.

Learning the Chinese Sentence Representation with LSTM Autoencoder

This study retains the meanings of the original text using Autoencoder (AE) in this regard. This study uses the different loss (includes three types) to train the neural network model, hopes that after compressing sentence features, it can still decompress the original input sentences and classify the correct targets, such as positive or negative sentiment. In this way, it supposed to get the more relative features (compressing sentence features) in the sentences to classify the targets, rather than using the classification loss that may classify by the meaningless features (words). In the result, this study discovers that adding additional features for correction of errors does not interfere with the learning. Also, not all words are needed to be restored without distortion after applying the AE method.

Purchase intention in social commerce: An empirical examination of perceived value and social awareness

With the advent of the digital era, the internet has gradually become an essential factor in people’s lives. Its increasing popularity has also caused e-commerce to thrive, and has increased the power of online marketing. In recent years, social commerce has emerged as a new mode of operation which can be distinguished from traditional e-commerce. The paper aims to discuss these issues.,The main purpose of this study is to determine which factors influence a consumer’s behavioral intention in the context of social commerce websites, and to explore overall purchase intentions based on the consumer’s cognitive evaluation. The examination reveals that consumers’ multidimensional perceptions influence both their perceptions of value and their purchase intentions. Other related social awareness factors explored by this study are also shown to influence customers’ purchase intentions.,In summary, the results show that perceived value and social awareness factors influence customers’ purchasing decisions and behavioral intentions for different gender. These findings have significant theoretical and managerial implications.,Social commerce is a subset of e-commerce brought about by the development of social networking. Activities conducted on social networking websites can be considered as a form of social commerce. In Taiwan, social commerce is still in the early stages of development.

Design of a computational model for social learning support and analystics

Abstract Conventional online learning typically allows an instructor to deliver instruction to students via a predefined curriculum and within a fixed knowledge structure (i.e., explaining the instructional subject). With the dramatic growth of social media technology and correlated data aggregation, some sort of instant knowledge is obtained by daily users. An emerging type of knowledge (i.e., social knowledge) has been identified and may lead to self-paced learning from social networks, which is simply defined as social learning. This article points out three important issues for social learning, namely, knowledge retrieval via temporal social factors, and the connection between social network and the knowledge domain. Two significant automation mechanisms, lecture generation for self-regulated learning and influencing domain computation for opportunity finding, are suggested to facilitate the process of social learning. A prototype system based on Elgg was implemented, sourced by a federated repository that has stored and shared more than 1.5 millions transactions (e.g., content, interactions, etc.). We conclude that timely social knowledge (or crowdsourcing results) can be widely applied in the next era of online learning environment. Findings through the statistical analysis are prospective to support understanding of phenomenon of social learning and design of future learning platform for followup researchers.

Coding, the New Literacy: Thinking-Oriented Programing Learning e-Book

We learned in interviews of this study that schools education plays an important role in the coding education. Traditional teaching model of one to many conducted in a computer classroom resulted in many students giving up because lacking of personal assistance and guidance which makes it difficult for beginners to understand the abstract programming languages. Critical thinking skill emphasizes on logical training the most, therefore it is quite an ideal teaching technique for coding training. This study explores the key elements in studying coding based on interviews and literatures, and further develops an innovative web-based system called JACT that integrating critical thinking into coding. In particular, this study aims to use the web-based system to help beginners to start from thinking, understand programming languages, and enhance their motives and performance in studying coding.

Exploring the Factors that Influence the Intention to Play a Color Mixing Game

Color mixing is viewed as one of the most important stages with regard to learning colors, and digital games have been identified as a useful means for encouraging students in learning. However, little effort has been devoted to using digital games to assist students in learning color mixing. To remedy this deficiency, this study developed a color mixing game and further explored the subjects’ perspectives on the game. More specifically, the technology acceptance model was employed to develop a questionnaire to collect the subjects’ opinions about the game, through which the decisive factors behind the subjects’ intention to play the game can be analyzed. The questionnaire delivered two significant results. First, the subjects’ perceived ease of playing influenced their attitude toward playing through the mediation of perceived usefulness. Second, the subjects’ perceived usefulness influenced their intention to play through the mediation of attitude toward playing. The mediation of perceived usefulness and attitude toward playing implied that both ways of influence were indirect.

Work-in-progress: Implementing a context-awareness ubiquitous learning environment — A case study of 921 Earthquake Museum of Taiwan

In recent years, with great development in information technology (IT), more and more ITs have been applied to learning now to break through limitation of conventional teaching environment, and improve learning willingness and effectiveness of learners. Because of popular wireless network and mobile carriers, students are never constrained to time and location nowadays, such that more attention is paid on u-learning (ubiquitous learning). In order to improve learning diversity, excursion has become one of the approaches to facilitate conventional classroom teaching. Thus, an earthquake disaster prevention learning platform is developed by employing radio frequency identification technology in combination with APP and handheld mobile devices. It is applied in 921 Earthquake Museum of Taiwan. With the context-awareness technology and guiding of the system, learners may utilize the mobile device to receive the information of exhibits in the museum for them to learn in context. Moreover, earthquake and disaster prevention knowledge are created effectively by means of context link of knowledge learnt in the museum, course materials and life. Additionally, assessment mechanism is created based on school materials and reference books, based on which the learning processes of learners are also recorded in the research. On one hand, learners can review themselves in the system; on the other hand, the teacher can adjust teaching according to such learning process to improve teaching effectiveness. At last, the learning style proposed by Felder & Silverman (1991) is used in the research to study whether there are different performances and effects for learners of different learning styles in such context learning.