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    • 3. 发明申请
    • Internet educational system combining teaching, academic affairs, and its method
    • 互联网教学体系结合教学,学术事务及其方法
    • US20050214732A1
    • 2005-09-29
    • US10806224
    • 2004-03-23
    • Sayling WenZechary ChangPinky Ma
    • Sayling WenZechary ChangPinky Ma
    • G06Q10/00G06Q50/00G09B3/00G09B25/00
    • G06Q50/20G06Q10/109
    • An Internet educational system combining teaching and academic affairs and its method, used to achieve course management and the related academic affairs. First, the member managing module authenticates the online members, verifies identifies of faculty and student, and displays faculty member list and all course information for student to schedule courses. Course managing module verifies the student's course schedule, lecturing module coordinates online teaching activity according to the course schedule, and evaluates learning grade simultaneously. The calculated learning grade is send to the grade managing module. It is then displayed to the student, and the student is allowed to choose the learning content and lecturing faculty at anytime, anywhere, and queries learning grade easily.
    • 结合教学和学术事务的互联网教育体系及其方法,用于实现课程管理和相关学术事务。 首先,会员管理模块认证在线会员,验证教师和学生的身份,并显示教师成员名单和所有课程信息,供学生安排课程。 课程管理模块根据课程安排验证学生的课程安排,讲座模块协调在线教学活动,同时评估学习成绩。 计算的学习成绩将发送到成绩管理模块。 然后向学生展示,允许学生随时随地选择学习内容和讲授教师,并轻松查询学习成绩。
    • 4. 发明申请
    • Language online learning system and method integrating local learning and remote companion oral practice
    • 语言在线学习系统和方法融合了本地学习和远程同伴口语练习
    • US20050214722A1
    • 2005-09-29
    • US10806091
    • 2004-03-23
    • Sayling WenZechary ChangPinky Ma
    • Sayling WenZechary ChangPinky Ma
    • G09B5/06G09B19/00G09B19/06
    • G09B19/06G09B5/065
    • A learning system and method applies computer network and achieves an online language learning through integration of local learning and remote companion oral practice. The local user selects a curriculum topic from a database for learning. A user-mating module establishes network connections according to the online user status. A curriculum-coding module encodes the characteristics of the curriculum contents and transfers the characteristic codes to the remote user site. A curriculum-decoding module at the remote user site receives and decodes the characteristic codes to generate correspondent curriculum pages. A page synchronization module returns and updates the curriculum pages for the users. Therefore, the local and remote users take oral practices on the curriculum pages through audio/video communication.
    • 学习系统和方法应用计算机网络,通过整合当地学习和远程同伴口头练习实现在线语言学习。 本地用户从数据库中选择课程主题以进行学习。 用户交配模块根据在线用户状态建立网络连接。 课程编码模块对课程内容的特征进行编码,并将特征代码传送到远程用户站点。 远程用户站点的课程解码模块接收并解码特征代码以生成相应的课程页面。 页面同步模块返回并更新用户的课程页面。 因此,本地和远程用户通过音频/视频通信在课程页面上进行口头练习。
    • 9. 发明授权
    • Language learning system and method with a visualized pronunciation suggestion
    • 语言学习系统和方法与可视化发音建议
    • US07153139B2
    • 2006-12-26
    • US10372828
    • 2003-02-26
    • Sayling WenZechary ChangPinky Ma
    • Sayling WenZechary ChangPinky Ma
    • G09B19/00
    • G09B19/06G09B5/06
    • A language learning system and method with a visualized pronunciation suggestion is disclosed. A sound wave corresponding to a sample voice output is used to suggest the user to make corrections with respect to tones and stresses. Through sectional evaluations and corrections, the invention can effectively improve the speaking ability of the user. The disclosed system includes a language database, a follow-reading module, a display control module, a sectional evaluation module, a correction module, and a suggestion-editing module. The disclosed method includes the steps of: extracting a full-sentence sample, outputting a full-sentence voice message and an associated message, prompting the user to imitate and recording the voice data, comparing the voice data with the full-sentence voice message and outputting the similarity, and evaluating the voice data.
    • 公开了一种具有可视化发音建议的语言学习系统和方法。 使用与样本语音输出相对应的声波来建议用户对音调和应力进行校正。 通过剖面评估和校正,本发明可以有效地提高用户的说话能力。 所公开的系统包括语言数据库,跟踪阅读模块,显示控制模块,分区评估模块,校正模块和建议编辑模块。 所公开的方法包括以下步骤:提取全句样本,输出全句话音消息和相关消息,提示用户模拟和记录语音数据,将语音数据与全句话音消息进行比较,以及 输出相似度,并评估语音数据。