制度效能与研究

在过去的两年里, reorganizational efforts have redistributed planning and grant responsibilities to the Office of the President and the Advancement and Communications unit, 分别. 随着这些变化，并与该领域的最佳实践相一致, we are excited to formally announce a new name and vision for what was previously institutional research – the Office of Institutional Effectiveness (IE).

The complex challenges and opportunities our community faces demand data to fuel creative minds in discovering, 连接, 解释, 告知突发问题. IE’s alignment with IT allows our researchers to creatively explore the universe of questions that inform our work. It enables us to identify and connect siloed data from across campus to create stories that provide a broader context and deeper understanding of topics important to our community.

优先考虑伙伴关系, 数据民主化, 并将IE与IT结合起来, IE的人员配备计划包括一名主任, 高级研究员, 和一个共同的行政助理的支持.

Below you will find more background on how and why these changes are being implemented and examples of what the department has accomplished.

Institutional effectiveness moves beyond mandatory reporting to using data to make informed decisions in higher education. A partnership between the Office of Institutional Effectiveness (IE) and 信息rmation Technology (IT) provides opportunities for digital transformations (Dx) that improve the student experience and aid operational agility as an institution. 而IE办公室支持学院的评估文化, AEI部门继续在该领域发挥领导作用.

在过去的三年里, 收集的数据的价值和数量, 存储, 担保, 高等院校的学生人数呈指数级增长. Where once a Minnesota State college IE/IR office could satisfy their college’s data needs by querying ISRS and reporting on what happened last year, 上个月, 上周, SPC社区需要更多.

我们的社区认识到 predictive and prescriptive analytics and innovative research that connects disparate quantitative and qualitative data to create a three-dimensional view of our students and institution. By augmenting the research and analytical skills of the IE department with the advanced technical skills of data management, 安全, 矿业, 在IT的数据服务部分中找到的架构, IE办公室可以更快、更可持续地将研究和数据创新带到校园. 这一战略的主要组成部分包括:

• Automating routine tasks to provide faculty and staff time to prioritize and personalize student interactions and experiences;
• 现在投入时间来提高未来的效率;
• 在整个机构内建立数据用户的联合网络;
• 培养机器学习方面的人才. 人工智能，以及预测性和规范性技术.

以下是一些近期项目的样本.

D2L:支持侵入性干预
The goal of the D2L data sets/data-informed intrusive interventions project is to increase student course success and retention. 在一次试航中, Title III advisors used dashboards to identify and advise students who would benefit from additional support. 这个项目正在向其他顾问提供, 我们正在与其他明尼苏达州立学院和大学合作提供, 构建, 并在校园内共享仪表板.

过程改进
目前, colleges are required to unenroll students who have not 担保 a tuition payment method before classes begin. 与多个部门和IT部门合作, the IE department moved from reporting what students were dropped to predicting which students were likely to be impacted. 这一变化使工作人员能够主动联系学生, 确保所需的信息，以防止丢失, 并显著减少受影响的学生人数.

数据民主化
来自学院14个领域的反复请求, IE以前经常重复提供的是什么, 是否已通过自助服务门户转换为按需报告. 这个入口网站, 哪个会继续发展, provides just-in-time access to near- real-time data for decision-making at all levels of the organization. 当发现循环任务时, IE和IT人员投入时间来自动化这个过程, 提高效率，让IE员工有时间发挥他们先进的研究技能.

工业工程学院正在与其他两年制学院建立关系，共享资源, 数据检索码, 自动化技术, 报告生成技能. This resource sharing reduces duplication of efforts across similar campuses and provides rich data sets for research.

Architectural efforts are underway to join data points from siloed data repositories across campus and within proprietary software. This continuing effort eases access to data and standardized SQL coding and retrieval methods to conform to industry best practices in data design and structure. 这项工作为更复杂的自动化提供了健壮的基础结构, 简化流程, 并且可以创建自助服务数据门户.