Development and Evaluation of Prior-Inference Type Learning Contents for Science and Mathematics Teachers to Develop Their Resource Management Abilities

1.为了使先验推理型学习内容能够在研究生院的讲座中实际使用，我们开发了简单的LMS（学习管理系统）。该LMS具有异步通信功能。例如报告申请/评估、论坛等。先验推理型学习内容的开发与方法的形式化先验推理型学习内容是一种新型的远程学习资源，供研究生院远程学习者的学校教师进行在职培训。我们在WBL过程中设置了“推理任务”。期望这些推理任务能够有效地反映学习者在学习过程中的各种经验，并保持学习者的高动机学习。我们开发了3个基于实践的内容，5个基于协作研究的内容，4个视频内容。此外，我们将课前-课后的教学方法形式化为推理式教学方式。使用简单LMSTest课程进行先验推理式学习内容评价的校内教师为2年，实距和校外教师为1年。3 .通过对校内教师的测试，我们发现在呈现简单信息的情况下，推理活动比呈现复杂信息的情况下更有效。通过对实际远程学习者的尝试，开发了具有先验推理学习内容的异步学习教学方法。从访问数数据来看，BBS系统的线程管理策略是有效的

1.Development of simple LMSTo enable practical use of prior-inference type learning contents on graduate school lectures, we developed simple LMS (Learning Management System). This LMS have asynchronous communication facilities. For example report application/evaluation, BBS and so on.2.Development of prior inference type learning contents and formalize the methodologyPrior inference type learning contents is a new type of distance learning resources for school teachers who were distance learners of graduate school for in-service training. We set up "inference tasks" in process of WBL. Those inference tasks were expected to be effective in reflecting learners' various experience on learning process and in keeping learners' highly-motivated learning. We developed 3 practice-based contents, 5 collaborative research-based contents, and 4 video contents. Furthermore, we formalize pre lecture-post lecture teaching methodology as inference type lecture style.3.Prior inference type learning contents evaluation with simple LMSTest courses were used and evaluated as useful by on-campus school teachers 2 years, and real distance and off-campus school teachers 1 year. From the tryout of on-campus school teachers, it was suggested that an inference activity was more effective in the case of presenting simple information than that of complicated one.4.Management strategies of asynchronous learning for distance learningWe developed educational methodology for asynchronous learning with prior inference learning contents through tryout of real distance learners. From the access count data, thread management strategies for BBS system was effective