scorm标准课程打包
当你所做的课程需要打包成SCORM标准的时候,可以应用以下的方法进行打包
和学习平台互动的SCO，可分较简单的（entry）SCO与进阶的SCO。简单的SCO只要将API加入JAVA数据就可，进阶SCO必须加入Data Model，以便和学习管理平台沟通。
简单的（entry）SCO制作
（1）先在教学目录下放 APIWrapper.js与 SCOFunctions.js两个档案
（2）在学习网页的 <head>与</head> 放入这两行
<head>
<!---------------SCORM include file---------------------->
<SCRIPT LANGUAGE="JAVASCRIPT" SRC="APIWrapper.js"></SCRIPT>
<SCRIPT LANGUAGE="JAVASCRIPT" SRC="SCOFunctions.js"></SCRIPT>
<!---------------SCORM include file---------------------->
</head>
（3）把 <body> 修改成下面
<body onLoad="loadPage()" onunload="unloadPage()">
这个加载的时候调用发触发sco的函数,和退出触发sco的函数,
（4）课件整体打包,可以用reload工具进行整合.
根据以上步骤,制作的课件基本附合SCORM1.2的标准课程测试.
二.进阶SCORM
以下是Data Model SCORM1.2列表,根据课程的教学设计对课程构架进行参数配置.
____________________________
cmi.core._children
cmi.core.student_id
cmi.core.student_name
cmi.core.lesson_location
cmi.core.credit
cmi.core.lesson_status
cmi.core.entry
cmi.core.score._children
cmi.core.score.raw
cmi.core.score.min
cmi.core.score.max
cmi.core.total_time
cmi.core.lesson_mode
cmi.core.exit
cmi.core.session_time
cmi.suspend_data
cmi.launch_data
cmi.comments
cmi.comments_from_lms
cmi.student_preference._children
cmi.student_preference.audio
cmi.student_preference.language
cmi.student_preference.speed
cmi.student_preference.text
cmi.student_data.mastery_score
cmi.student_data.max_time_allowed
cmi.student_data.time_limit_action
cmi.comments_from_lms
cmi.comments
Data Model SCORM2004
No replacement*
cmi.learner_id
cmi.learner_name
cmi.location
cmi.credit
cmi.completion_status or cmi.success_status*
cmi.entry
cmi.score._children
cmi.score.raw
cmi.score.min
cmi.score.max
cmi.total_time
cmi.mode
cmi.exit
cmi.session_time
cmi.suspend_data
cmi.launch_data
cmi.comments_from_learner.0.comment
cmi.comments_from_learner.0.comment
cmi.learner_preference._children
cmi.learner_preference.audio_level
cmi.learner_preference.language
cmi.learner_preference.delivery_speed
cmi.learner_preference.audio_captioning
cmi.scaled_passing_score
cmi.max_time_allowed
cmi.time_limit_action
cmi.comments_from_lms.0.comment
cmi.comments_from_learner.0.comment
