Search

Assuring e-learning quality is of interest worldwide. This paper introduces the methods of e-learning courseware quality assurance (a quality certification system) adopted by the eLQSC (e-Learning Quality Service Centre) in Taiwan. A sequential/explanatory design with a mixed methodology was used to gather research data and conduct data analyses. Sixty-seven e-learning courseware applications were evaluated using the e-Learning Courseware Quality Checklist (eLCQC). Analyses of item difficulty, item discrimination and generalizability indicated that the eLCQC provides high-quality evaluations. After participating in the certification process, the e-learning producers reported having more confidence in enhancing e-learning courseware quality. The certification experience also helped the producers to change their previous design concepts about e-learning courseware and to develop new concepts; further, their increased confidence about courseware design also enhanced their confidence in marketing courseware. (Contains 7 tables and 2 figures.)

This study attempts to implement a cooperative reading environment for EFL early reading using a mobile-device-supported computer-assisted reciprocal early English reading (CAREER) system, and to evaluate its effect on the early reading skills and learning behaviors of elementary EFL learners. The design rationale of CAREER is based on the three essential components of effective reading instructions: balanced reading structure, immediate and specific feedback, and reciprocal learning scenario. Analytical results indicate that the CAREER system reduces the problems experienced by students in a conventional cooperative learning environment and effectively helps elementary EFL learners orchestrate their learning while completing individual reading tasks and pursuing group goals. The results also demonstrate that CAREER appears to be able to benefit elementary EFL learners in developing reading skills. In sum, with the support of CAREER, the early reading skills of elementary students are benefited by cooperating with each other. (Contains 8 figures and 3 tables.)

This study aimed to design and evaluate multimedia games which were based on the theories of children's development of taxonomic concepts. Factors that might affect children's classification skills, such as use of single physical characteristics of objects, competition between thematic and taxonomic relationships, difficulty in forming hierarchical categories, were identified. Several strategies for overcoming the above disadvantages, such as verbal hints, linguistic labeling, exemplar comparison, and explicit statements were implemented in the Software for Rebuilding Taxonomy (SoRT) for improving children's taxonomic concept learning. Sixty children, aged 4 and 5, participated in the evaluation of SoRT. The results showed that the SoRT was helpful to improve children's distinction between thematic and taxonomic relationships and their learning of hierarchical taxonomic concepts.

Abstract: This paper describes the effects of learning support on simulation-based learning in three learning models: experiment prompting, a hypothesis menu, and step guidance. A simulation learning system was implemented based on these three models, and the differences between simulation-based learning and traditional laboratory learning were explored in the context of physics studies. The effects of the support type on learning performance were also quantified. In second-year junior high school students it was found that the outcome for learning about the basic characteristics of an optical lens was significantly better for simulation-based learning than for laboratory learning. We also investigated the influences of different learning models on the students’ abstract reasoning abilities, which showed that the different learning models do not have different effects on individuals with different abstract reasoning abilities. However, we found that students who are better at higher abstract reasoning benefit more from simulation-based learning, and also that the learning results are better for experiment prompting and a hypothesis menu than for step guidance. [Copyright &y& Elsevier]