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Serious and Playful Inquiry 普通类
Scaffolding Creative Reasoning and Meaningful Learning
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Using a Wiki to Students’ Collaborative Writing 普通类
Scaffolding Creative Reasoning and Meaningful Learning
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Redesigning a Web-Conferencing Environment 普通类
Scaffolding Creative Reasoning and Meaningful Learning
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Exploring the Meaningful Learning 普通类
Scaffolding Creative Reasoning and Meaningful Learning
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Scaffolding Students’ Development 普通类
Scaffolding Creative Reasoning and Meaningful Learning
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Scaffolding Creative Reasoning and Learning 普通类
Scaffolding Creative Reasoning and Meaningful Learning
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Effects of multimedia on cognitive load 普通类
This study investigates effects of multimedia on cognitive load, self-efficacy and learners’ ability to solve multiple rule-based problems. Two hundred twentytwo college students were randomly assigned to interactive and noninteractive multimedia groups. Based on Engelkamp’s multimodal theory, the present study investigates the role of multimedia in multiple rule-based problem solving. The findings indicate that providing learners with manipulative function in multimedia would facilitate their problem solving through reduced cognitive load and improved self-efficacy. The study identifies a significant mediator effect for self-efficacy that mediates between multimedia and learners’ problem solving. Discussion focuses on the effects of multimedia and self-efficacy on learners’ performance in multiple rule-based problem solving. Suggestions are made with regard to the design of problem solving in future studies.
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Visualizing 普通类
Abstract This case study illustrates the sequential process of the joint and individual knowledge elaboration in a computer-supported collaborative learning (CSCL) environment. The case comprised an Internet-based physics problem-solving platform. Six Dutch secondary school students (three males, three females) participated in the three-week experiment. They were paired based on self-selection. Each dyad was asked to collaborate on eight moderately structured problems concerning Newtonian mechanics. Their online interactions, including their textual and pictorial messages, were categorized and sequentially plotted. The three dyads showed three different collaboration patterns in terms of joint and individual knowledge elaboration.
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A task–technology fit view of learning management 普通类
Learning management systems (LMSs) are very widely used in higher education. However, much of the research on LMSs has had a technology focus or has been limited to studies of adoption. In order to take advantage of the potential associated with LMSs, research that addresses the role of LMSs in learning success is needed. Task–technology fit is one factor that has been shown to influence both the use of information systems and their performance impacts. The study described in this paper used the technology-to-performance chain as a framework to address the question of how task–technology fit influences the performance impacts of LMSs. The results provide strong support for the importance of task–technology fit, which influenced perceived impact on learning both directly and indirectly via level of utilization. Whilst task–technology fit had a strong influence on perceived impact of the LMS on learning it only had a weak impact on outcomes in terms of student grades. Contrary to expectations, facilitating conditions and common social norms did not play a role in the performance impacts of LMSs. However, instructor norms had a significant effect on perceived impact on learning via LMS utilization.
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Discovering genres of online discussion 普通类
As course management systems (CMS) gain popularity in facilitating teaching. A forum is a key component to facilitate the interactions among students and teachers. Content analysis is the most popular way to study a discussion forum. But content analysis is a human labor intensity process; for example, the coding process relies heavily on manual interpretation; and it is time and energy consuming. In an asynchronous virtual learning environment, an instructor needs to keep monitoring the discussion forum from time to time in order to maintain the quality of a discussion forum. However, it is time consuming and difficult for instructors to fulfill this need especially for K12 teachers. This research proposes a genre classification system, called GCS, to facilitate the automatic coding process. We treat the coding process as a document classification task via modern data mining techniques. The genre of a posting can be perceived as an announcement, a question, clarification, interpretation, conflict, assertion, etc. This research examines the coding coherence between GCS and experts’ judgment in terms of recall and precision, and discusses how we adjust the parameters of the GCS to improve the coherence. Based on the empirical results, GCS adopts the cascade classification model to achieve the automatic coding process. The empirical evaluation of the classified genres from a repository of postings in an online course on earth science in a senior high school shows that GCS can effectively facilitate the coding process, and the proposed cascade model can deal with the imbalanced distribution nature of discussion postings. These results imply that GCS based on the cascade model can perform as an automatic posting coding system.