测试
知识数据主要指用户和平台提供各类课程和实训项目的辅助信息,如用户、课程、实训基本信息,知识点、标签、测试集基本评估信息等,作业、测验等基本教学信息。可用于辅助推荐,提高准确率并缓解冷启动问题。
行为指用户在平台内进行学习活动及系统反馈结果所产生的数据。如参与讨论,完成实训任务,观看课程视频、代码行数、代码质量指数、代码运行时间/空间复杂度、获得的技能标签、通关的实训数、实验评测次数、实训总时长、学习持续性(每次学习时长)、学习积极性(学习)等,详细的交互行为数据有助于精细刻画用户的学习过程,从而挖掘用户学习习惯和知识水平,以此进行个性化推荐。
如社区贡献度、自定义实验数量/质量、实验创新新突破指数、评测机制创新性指数等。
#
S
V
M
UISheetPresentationController
sycamore-rs.netlify.app
EFIconFontCaseIterableProtocol
unable to find utility "xctest"
Date
SerializationTools
hed -s "TCAGACT" -t "TAGGCTT" -a -b
JSONDecoder
JSONEncoder
Data
JSON
CommandKit
TweakLibraryType
Tweak
C
.gir
--use-hetnet
--hetero-mode
--hetero-device-types
--hetero-pipeline-stages
--overlapped-distributed-optimizer
ValidationRuleSet
ButtonClickStyleView
ButtonClickStyleDesignView
ButtonClick.State
@Dependency
ComposableEnvironment
GlobalEnvironment
@DerivedEnvironment
subscript(safe index: Index) -> Element?
versionNumber
buildNumber
x
y
top
bottom
left
right
center
init?(_:_:_:hour:minute:second:timeZone)
DateDecodingStrategy.iso8601withFractionalSeconds
DateEncodingStrategy.iso8601withFractionalSeconds
capitalizedFirst
red
green
blue
alpha
init?(hex:)
createHex(alpha:hashSymbol:)
modelIdentifier
kubernetes
gpass
efk
monitor
专有云组件
ansible
expect(...).to
nil
objects.inv
optional
setup-node
.vue
Model
x-repeat
<for>
x-recur
enter
leave
@app.route('/releasebot', methods=['GET', 'POST'])
@app.route('/issuebot', methods=['GET', 'POST'])
@app.route('/prbot', methods=['GET', 'POST'])
rust-analyzer
zsh-syntax-highlighting.zsh
.zshrc
[ { "id": 1, "username": "john_smith", "email": "john@example.com", "name": "John Smith", "state": "active", "created_at": "2012-05-23T08:00:58Z", "bio": null, "skype": "", "linkedin": "", "twitter": "", "website_url": "", "extern_uid": "john.smith", "provider": "provider_name", "theme_id": 1, "color_scheme_id": 2, "is_admin": false, "avatar_url": "http://localhost:3000/uploads/user/avatar/1/cd8.jpeg", "can_create_group": true, "current_sign_in_at": "2014-03-19T13:12:15Z", "two_factor_enabled": true }, { "id": 2, "username": "jack_smith", "email": "jack@example.com", "name": "Jack Smith", "state": "blocked", "created_at": "2012-05-23T08:01:01Z", "bio": null, "skype": "", "linkedin": "", "twitter": "", "website_url": "", "extern_uid": "jack.smith", "provider": "provider_name", "theme_id": 1, "color_scheme_id": 3, "is_admin": false, "avatar_url": "http://localhost:3000/uploads/user/avatar/1/cd8.jpeg", "can_create_group": true, "can_create_project": true, "projects_limit": 100, "current_sign_in_at": "2014-03-19T17:54:13Z", "two_factor_enabled": false } ]
智能导教系统提供数据接口
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数据类型
知识数据
知识数据主要指用户和平台提供各类课程和实训项目的辅助信息,如用户、课程、实训基本信息,知识点、标签、测试集基本评估信息等,作业、测验等基本教学信息。可用于辅助推荐,提高准确率并缓解冷启动问题。
行为数据
行为指用户在平台内进行学习活动及系统反馈结果所产生的数据。如参与讨论,完成实训任务,观看课程视频、代码行数、代码质量指数、代码运行时间/空间复杂度、获得的技能标签、通关的实训数、实验评测次数、实训总时长、学习持续性(每次学习时长)、学习积极性(学习)等,详细的交互行为数据有助于精细刻画用户的学习过程,从而挖掘用户学习习惯和知识水平,以此进行个性化推荐。
其它
如社区贡献度、自定义实验数量/质量、实验创新新突破指数、评测机制创新性指数等。
数据接口
知识数据
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