作为一家致力于改善语言学习和教学的使命型组织,Avant与我们的客户保持着值得信赖的关系。在这种关系中,我们的核心责任是确保我们在收集和使用我们支持的考生的个人信息时,坚守一定的关怀标准。
安全性
SOC2 类型 II 合规性
Avant已经达到SOC2类型II的合规性,确认了我们对强大安全性和我们控制的持续有效性的承诺。这个证明反映了我们信息安全实践的严格独立评估,并增强了与依赖我们保护的数据的保密性、完整性和可用性的客户和合作伙伴的信任。
客户可以通过书面请求和保密协议,要求提供SOC2报告的副本。
Higher Education Community Vendor Assessment Toolkit™ (HECVAT)
The HECVAT is a tool created by leaders in higher education in collaboration with EDUCAUSE, Internet2, and REN-ISAC to support security assessments and vendor risk evaluation. We make our completed HECVAT questionnaire available to institutions, which demonstrates our commitment to safeguarding data and maintaining trusted security practices.
CISA安全设计承诺
这是一个专注于企业软件产品和服务的自愿承诺,包括现场软件,云服务和软件即服务(SaaS)。通过参与这个承诺,软件制造商承诺将以诚意努力实现特定的程序目标。在彻底透明的精神下,鼓励制造商公开记录他们的方法,以便他人学习。
TX-RAMP – Level 2
这是一个云计算服务框架,确保处理德克萨斯州居民个人身份信息(PII)的公司遵守严格的网络安全标准和风险管理。Avant已经获得了这个认证,以展示我们对与德克萨斯教育机构持续合作的承诺。
数据隐私
我们维护一项产品隐私政策,解释我们的个人信息收集、使用和披露实践,以及您对个人信息的权利。我们还在下面包括了一些针对我们的教育机构客户的隐私实践的精选和一目了然的信息:
- 地区所有权:我们并不拥有我们保管的学生个人信息。关于我们如何使用和维护学生个人信息,我们仍然直接受教育机构的控制。
- 我们对学生个人信息的使用:我们在支持我们客户的教育目的时使用我们手头的学生个人信息。我们不会将学生个人信息用于任何广告目的,包括针对性广告目的。
- 数据保留:我们在合同到期或终止后的90天内删除学生的个人信息。教育机构的客户可以随时要求访问、修改或删除他们学生的个人信息,我们将及时遵守这些要求。
- 13岁以下的学生:我们遵守儿童在线隐私保护法案(COPPA)的义务。当我们的教育机构客户选择允许13岁以下的学生使用我们的产品时,我们要求教育机构确认他们有权同意我们收集13岁以下学生必要的个人信息。
- 数据保护:我们实施并维护一个安全程序,该程序包括行业标准的行政、技术和物理保护措施,以帮助保护我们所照看的学生数据的机密性、完整性和可用性。
有关我们的隐私实践的更多信息,请查看我们的产品隐私政策。
负责任的A.I.使用
How Does Avant Use A.I.?
- From its founding in 2001, Avant’s philosophy has always been to combine the power of technology with human wisdom. We apply that same philosophy to the use of artificial intelligence (A.I.) in our products and services. We are committed to maintaining the highest standards of quality, fairness, and integrity. As part of that commitment, we have recently begun incorporating A.I. tools in select areas of our work — primarily within Mira, our subsidiary company’s language learning and formative assessment platform, within AvantProctor, to assist our human proctors by flagging potential test violations, and within our STAMP tests.
Is A.I. used in STAMP Scoring? Are all STAMP languages scored using A.I.? Is AI used in STAMP test development?
- In Avant STAMP, A.I. is currently only utilized in specific areas of test development and response scoring. These include assisting in the creation of some Reading and Listening passages, generating certain images, and scoring select responses. Currently, the automated scoring system is used only for rating a percentage of written responses in Avant STAMP 4S and 4Se Spanish, 4S French, 4S Mandarin Chinese, and 4S English. For spoken responses, 4S Spanish is currently the only language partially scored by the automated system.
- Importantly, the performance of all A.I.-based tools used in STAMP is closely monitored by our Content Development and Research teams. In the case of the scoring of select responses, sophisticated statistical analyses are conducted to assess the performance of both our human raters and the A.I. tools. These A.I. tools are only deployed when they have been rigorously validated to ensure that they uphold the same standards of quality, consistency, and accuracy as human processes. In fact, for A.I.-scored responses, our in-house machine-learning models have been shown to match – and in some cases exceed – the already high accuracy and reliability of our human raters.
Do all writing and speaking responses for those languages get rated by A.I.?
- Our system only rates responses whose proficiency level it can easily and confidently identify. Responses whose level is more difficult to determine or that may be outliers are passed to a human rater to rate.
What do you mean by “A.I.” when referring to the scoring system?
- Our system is not powered by, connected to, or integrated with third-party generative AI platforms such as ChatGPT™ or Gemini™. Avant’s automated scoring system is a machine-learning model that was developed in-house and deployed for automated scoring on Avant’s cloud-based servers. Our automated scoring system goes through rigorous testing to ensure the accuracy of its outputs. It is not connected to or influenced by unknown or unreviewed data on the internet.
Is there a chance at Avant, that an entire STAMP test can be solely rated by AI with no human rater involved?
- Because AI is not used in the scoring of Reading and Listening, there is a 0% chance of an entire STAMP test being scored by AI.
- While it is technically possible for the productive skills to both be rated by our automated system, it is highly unlikely due to the way our rating system works. For the languages for which Avant currently makes use of its proprietary, automated scoring system for writing (listed above), at least 90% – and often a considerably higher percentage –of all individual Writing sections involve rating by human raters.
How does Avant mark/identify which responses have been rated by AI?
- Our system tracks every response rated by every rater–human or automated. Our system is proprietary, and we are not at liberty to reveal whether a response was rated by a human or the automated system.
Are the scores given by A.I. checked by a human rater? If so, do the raters see the A.I. score beforehand?
- We have always ensured that at least 20% of all individual responses, whether human-scored or auto-scored, are double-scored by human raters, as is standard among testing organizations. This means that 20% of the individual responses that the automated system rates are automatically also rated by a human. If there is a disagreement between the scores assigned by the human rater and the auto-scoring tool, then a human Rater Manager determines the final score.
- Additionally, our rating quality assurance verification processes have always included regular monitoring by our research team. Should any rater, whether a human rater or the auto-scoring tool, demonstrate their rating to be any less accurate than our high standards require, they are retrained until they demonstrate the necessary improvements in accuracy.
- No rater is allowed to view another rater’s scores unless they are a Rater Manager, which ensures that ratings are independent from one another and that no one rater’s assigned proficiency level is influenced by that of another rater. This includes the automated system. If there is a discrepancy between scores given by two different raters, it automatically goes to a human Rater Manager to review and make the final rating decision.
Can you provide some data on how often a human rater may alter an A.I.-given score?
- As described above, no rater other than a Rater Manager is allowed to alter another’s score–whether human or not. See my answer above to what happens if there is a discrepancy.
- Avant prides itself on maintaining the highest rating and accuracy standards, as evidenced by our published research. Those standards continue to guide our processes, and we stand by the accuracy of both our human and automated raters.
我们将人工智能视为不是对人类专业知识的替代,而是增强和支持它的工具。通过将人类的洞察力与精心控制的人工智能相结合,我们确保我们的评估对所有的考生和依赖我们数据的组织保持有效,可靠和值得信赖。
互操作性
项目独角兽
项目独角兽是由EdTech社区推动的K-12年级的数据互操作性倡议。Avant获得了这个认证,以展示我们对于数据可搬移性的承诺,以帮助学校和地区培养更加连贯的学习体验。
Accessibility
Web Content Accessibility Guidelines
We follow the Web Content Accessibility Guidelines (WCAG) to support accessible, inclusive experiences for all users. Our commitment to accessibility helps ensure our digital content remains usable and compliant with recognized best practices. Accessibility is an ongoing priority as we continue improving usability and inclusive access.
值得信赖的合作者
全球双语能力认证印章
全球双语能力认证是一种统一标准的语言熟练度认证。获得全球双语能力认证使得获奖者能够向任何学校或雇主展示他们的语言技能,无论是在州界还是国界之外,都有一个独特的序列编号的文件。合格的测试是通过由国际专家组成的独立顾问委员会进行严格评估过程批准的,这些专家在多语教育,第二语言习得,教育研究和评估等领域具有专业知识。
Classlink 认证合作伙伴
ClassLink是全球教育提供商,提供身份和分析产品,创造更多的学习时间,帮助学校更好地理解数字参与。作为开放数据标准的领先倡导者,我们提供对应用程序和文件的即时访问,简化课程排名,自动化帐户配置,并提供可操作的分析。ClassLink赋予了超过2600个学校系统中的2100万学生和员工权力。
奖项
2025
NABE:年度资源提供商
自1975年以来,全国双语教育协会(NABE)一直是一个非营利会员组织,致力于在全球社会中为双语/多语学生争取教育公平和学术卓越。
NABE的使命是在全球社会中,为双语/多语学生的教育公平和卓越进行倡导。
全国双语教育协会是唯一一个致力于代表双语/多语学生和双语及双语教育专业人士的全国专业组织。
2024
作为教育伙伴的认可,圣贝纳迪诺县学校监察官
NADSFL特别表彰杰出合作与支持 (2003-2024)
2023
CEO被任命为F43.04 ASTM语言测试小组委员会主席
2019
全球公民奖,快乐世界基金会
2018
职业之友奖,德克萨斯外语协会
2017
首席执行官当选为联合国家语言委员会董事会成员
CEO被任命为美国代表团成员,参与国际标准组织委员会,该委员会负责制定语言评估和学习的全球标准
2009
创新奖,尤金地区商会
CISA安全设计承诺
这是一项自愿承诺,专注于企业软件产品和服务,包括现场软件,云服务和软件即服务(SaaS)。通过参与这个承诺,软件制造商承诺将以诚信为本的努力,朝着下面列出的特定计划目标努力,持续一年。在彻底透明的精神下,鼓励制造商公开记录他们的方法,以便他人学习。
承诺以七个目标为结构。每个目标都有制造商承诺努力达成的核心标准,除此之外,还有实现目标和展示可衡量进展的上下文和示例方法。在制造商的产品中展示可衡量的进展可以采取多种形式 - 例如,对所有制造商的产品采取行动,或者选择首先解决的一组产品,并为其他产品发布路线图。
如有关于Avant的安全政策的问题,请联系security@avantassessment.com
子处理器和分包商
Avant Assessment使用以下第三方子处理器和分包商来协助为我们的客户提供服务:
| 子处理器 | 目的 | 数据元素 |
|---|---|---|
| AWS | 云存储和托管提供商 | 所有的个人身份信息 |
| Proctor 360 | 考试监考 | 考试者名字,姓氏,电子邮件 |
| Google Drive | 用于与客户共享报告的云存储 | 所有的个人身份信息 |
| Credly | 数字化徽章 | 考试者名字,姓氏,电子邮件,分数 |
| Ellevation | 英语学习者累积报告 | 所有的个人身份信息 |
| Salesforce | 客户沟通 | 教师名字,姓氏,电子邮件 |
| OwnBackup | Salesforce备份解决方案 | 教师名字,姓氏,电子邮件 |
| Slack | 客户支持 | 考试者名字,姓氏,电子邮件 |
| Atlassian Jira | 应用程序支持 | 考试者名字,姓氏,电子邮件 |
| SentinelOne | 安全性 | 考试者的IP地址 |
- Google Workspace
- Slack
- AWS
- 聪明
- GitHub
- SalesForce
- Jira