The Relationship Between Adult Self-Efficacy and Scientific Competencies: the Moderating Effect of Gender

This study investigated the relationship between adult self-efficacy in science and scientific competencies of Taiwanese citizens. Probability proportional to size sampling was used to select 1830 participants between the ages of 18 and 70. The research methods employed was survey research; analysis was conducted using hierarchical regression analysis. The results indicated that gender and self-efficacy have an explanatory power for scientific competencies. The predictive power of self-efficacy for scientific competencies was different for male and female groups. This study proposes several suggestions regarding science education policies in accordance with the research findings.     

Uncovering Malaysian Secondary School Students’ Academic Hardiness in Science,Conceptions of Learning Science,and Science Learning Self-Efficacy: a Structural Equation Modelling Analysis

The objective of this study was to explore the relationships between academic hardiness in science, conceptions of learning science, and science learning self-efficacy among Malaysian middle school students. The respondents were 320 eighth-grade students from two selected Malaysian middle schools. Three questionnaires were used for this survey: Academic Hardiness in Science (AHS) regarding “commitment,” Conceptions of Learning Science (COLS), including “memorizing,” “calculating and practicing,” and “understanding and seeing in a new way,” and Science Learning Self-Efficacy (SLSE), consisting of “cognition,” “practical work,” “everyday application,” and “science communication.” These three questionnaires were validated and found to be reliable for measuring students’ AHS, COLS, and SLSE. Pearson’s correlation findings indicated that AHS was significantly and positively correlated to all the factors in COLS and SLSE, and all the factors in COLS were significantly and positively correlated to all the factors in SLSE. The relationships among AHS, COLS, and SLSE were then identified by the structural equation model technique. Students with a high commitment to learning science, and who perceived learning science as understanding and seeing in a new way are prone to have confidence at all levels of science learning self-efficacy.

     

College students’ conceptions of context-aware ubiquitous learning: A phenomenographic analysis

The purpose of this study was to explore students’ conceptions of context-aware ubiquitous learning (u-learning). The students participated in a u-learning exercise using PDAs equipped with RFID readers. The data were collected from individual interviews with each of the students by a trained researcher, and the responses of the interviewees were further analyzed using the phenomenographic method. The analysis revealed five categories of conceptions of u-learning, including “u-learning as the application of technology,” “u-learning as a platform for attaining information,” “u-learning as a timely guide,” “u-learning as increase of knowledge” and “u-learning as active learning.” There conceptions are viewed as a hierarchy, from less advanced to more sophisticated. An in-depth analysis of the students’ conceptions of learning indicated that students held multiple conceptions of u-learning. This study further suggests that inquiry practices (such as allowing open-ended exploration for the learning topic) should be addressed in u-learning activities, as these practices may foster more sophisticated conceptions of u-learning.     

Content analysis of online discussion on a senior-high-school discussion forum of a virtual physics laboratory

In this study we content analyzed the online discussion of several senior-high-school groups on a forum of a virtual physics laboratory in Taiwan. The goal of our research was to investigate the nature of non-course-based online discussion and to find out some useful guidelines in developing such discussion forums for learning purposes. We adapted Henri’s framework and models (1992) for our analysis. The content analysis was conducted in terms of participation rate, social cues, interaction types, and cognitive and metacognitive skills. In this study, we compared the result patterns of two discussion conditions (‘required’ (R-) condition versus ‘non-required’ (NR-) condition) of a non-course-based discussion forum and investigated how the quality of message content changed in the processes of discussion. In the R-condition, participants were required to reply to the thread before they were allowed to read other messages on the forum, whereas participants in the NR-condition were not restricted to this demand. The results showed that for both conditions, the most frequently involved interaction type was ‘direct response’, and the most frequently used cognitive skill was ‘elementary clarification’. Fewer participants of the R-condition strayed from the subject under discussion in comparison to the NR-condition. However, larger percentage of message content containing metacognitive components was found in the NR-condition. When taking the sequences of postings into account, we found that for the R-condition, the percentage of metacognitive component in the message content tended to increase in the up-third postings, whereas for the up-third postings of the NR-condition the percentage of non-cognitive components substantially increased. Overall, the results of our study indicated that the way in which participants used cognitive and metacognitive skills during the discussions was related to the discussion conditions. The initial requirement of reply fostered the use of cognitive skills, but it did not necessarily induce the use of high-level cognitive or metacognitive skills. We concluded that beside the discussion conditions the moderators’ guidance would be influential in determining the quality of online discussion on a non-course-based discussion forum. in final form: 19 August 2005     

Identifying patterns of collaborative knowledge exploration in online asynchronous discussions

This study investigated 6 weeks of online asynchronous discussions in a graduate-level course involving eleven students. The research purposes of this study were to identify patterns of collaborative knowledge exploration (CKE) and to suggest new analytical dimensions for investigating online discussions. Based upon a unique theoretical framework integrating the concepts of transition community and discourse community, three major dimensions of online asynchronous learning were adopted in the analysis. The first dimension focuses on the various forms of social negotiation in the discourse. The second dimension regards references to various learning resources, while the third is related to the coherence of the resources utilized. Based upon these dimensions and the analysis of the participating students’ online asynchronous discussions, this study suggested ten different patterns of CKE representing the cognitive processes of Elaborating, Challenging, Correcting, and Debating. We argue that the proposed analytical framework allows us to interpret the sociocultural and cognitive aspects of students’ interactions for online problem-based learning. In addition, the results suggest that the more cognitively demanding the pattern is, the less frequently it occurs. Potential factors contributing to the observed findings are discussed in this study.     

Exploring the effects of web-mediated computational thinking on developing students’ computing skills in a ubiquitous learning environment

Much application software education in Taiwan can hardly be regarded as practical. The researchers in this study provided a flexible means of ubiquitous learning (u-learning) with a mobile app for students to access the learning material. In addition, the authors also adopted computational thinking (CT) to help students develop practical computing skills. Three classes of first-year students were chosen for the empirical study. They were divided into three groups: two experimental groups (CT&UL group and CT group) and one control group. According to the results in this study, students who received the treatment of u-learning could have significantly better computing skills in using PowerPoint and Word than those without. However, the treatment of web-mediated CT did not result in better development of students’ computing skills in this research. Finally, the researchers expect that this study provides a design and illustration of CT in a u-learning environment for schools and educators.     

Assessment of learning gains associated with independent exam analysis in introductory biology

This study evaluates the impact of an independent postmidterm question analysis exercise on the ability of students to answer subsequent exam questions on the same topics. It was conducted in three sections (～400 students/section) of introductory biology. Graded midterms were returned electronically, and each student was assigned a subset of questions answered incorrectly by more than 40% of the class to analyze as homework. The majority of questions were at Bloom's application/analysis level; this exercise therefore emphasized learning at these higher levels of cognition. Students in each section answered final exam questions matched by topic to all homework questions, providing a within-class control group for each question. The percentage of students who correctly answered the matched final exam question was significantly higher (p < 0.05) in the Topic Analysis versus Control Analysis group for seven of 19 questions. We identified two factors that influenced activity effectiveness: 1) similarity in topic emphasis of the midterm-final exam question pair and 2) quality of the completed analysis homework. Our data suggest that this easy-to-implement exercise will be useful in large-enrollment classes to help students develop self-regulated learning skills. Additional strategies to help introductory students gain a broader understanding of topic areas are discussed.     

Query-level loss functions for information retrieval

Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since originally the methods were not developed for this task, their loss functions do not directly link to the criteria used in the evaluation of ranking. Specifically, the loss functions are defined on the level of documents or document pairs, in contrast to the fact that the evaluation criteria are defined on the level of queries. Therefore, minimizing the loss functions does not necessarily imply enhancing ranking performances. To solve this problem, we propose using query-level loss functions in learning of ranking functions. We discuss the basic properties that a query-level loss function should have and propose a query-level loss function based on the cosine similarity between a ranking list and the corresponding ground truth. We further design a coordinate descent algorithm, referred to as RankCosine, which utilizes the proposed loss function to create a generalized additive ranking model. We also discuss whether the loss functions of existing ranking algorithms can be extended to query-level. Experimental results on the datasets of TREC web track, OHSUMED, and a commercial web search engine show that with the use of the proposed query-level loss function we can significantly improve ranking accuracies. Furthermore, we found that it is difficult to extend the document-level loss functions to query-level loss functions.     

An approximate analytic solution of the nonlinear Riccati differential equation

In this paper, a hybrid method which combines the Adomian decomposition method (ADM), the Laplace transform algorithm and the Padé approximant is introduced to solve the approximate analytic solutions of the nonlinear Riccati differential equations. This hybrid method demonstrates accurate and reliable results, and has a great improvement in the ADM truncated series solution which diverges rapidly as the applicable domain increases. Three examples herein are given to demonstrate good accuracy and fast convergence in comparison with the exact solution.