Aligning postsecondary institutions to external standards with relational databases

Ben Mayfield
{"title":"Aligning postsecondary institutions to external standards with relational databases","authors":"Ben Mayfield","doi":"10.1002/cbe2.1221","DOIUrl":null,"url":null,"abstract":"<p>Administrators of higher education are all too familiar with aligning their institutions to a high volume of standards, regulations, and other external criteria. Managing the alignment of those standards to curricula and policies may be perceived as an insurmountable task, often leading to haphazard and inconsistent documentation methods from department to department. Alignments of standards to one aspect of the university may be out of sync with a similar alignment produced in another area. The development of a relational database of standards can greatly improve an institution’s effectiveness in demonstrating alignment. Such an approach is not limited to institutions that utilize a competency-based model, but it does provide a logical method to demonstrate their alignment; competency statements are poised to demonstrate how external elements are addressed in a program.</p><p>These categories of entities are certainly not exhaustive, but they demonstrate the need for institutions to catalog and organize their approach methodically when aligning programs and policies to external elements.</p><p>Whether searching for a standard, regulation, rule, or any other external element, there is no single source of data that contain all elements in one repository. Usually, elements are published in a variety of official sources across the Internet. When an institution is ready to audit its compliance with external elements, it must first identify and retrieve the official publication, review it, and begin the painstaking process of mapping out the alignment of programs and policies. Then, this process is repeated for each individual entity with which the institution must align.</p><p>A carefully designed relational database can play a critical role in an institution’s approach to aligning with external entities. This author’s institution has developed a <i>Standards and Regulatory Tracking</i> database, referred to using the acronym STaRT. While the design and function of the STaRT database is customized to the institution’s unique model and program offerings, the general description of standards database applications is applicable to all institutions of higher learning.</p><p>An entity relationship diagram is illustrated in Figure 1. This diagram does not contain every field for every table, but provides a general conception of the structure and relationship of the database. The Standards Objects described above are located in the left column of the database. The Curriculum Objects are in the right column, and the Alignment Objects in the center column.</p><p>The objects are linked together with a hierarchical (parent/child) model, using tables for entities, collections, parent elements, and child elements. For example, Figure 1 shows tables for Body, Collection, Parent Element, and Child Element. The Body represents an external entity as a whole. A Body is a parent to the Collections of the Body, as one body may have one or more Collections of standards. A Collection is a parent to Parent Elements, which are usually the names of standards themselves such as. Finally, a Parent Element is a parent to Child Elements, which are usually the individual indicators of a standard.</p><p>An example of this hierarchical relationship in Figure 1 is the following: The Northwest Commission on Colleges and Universities is a Body. The 2020 NWCCU Standards is a Collection and a child of this parent Body. “Standard One – Institutional Mission” is a child of the collection and referred to as a general Parent Element. Indicators 1.A.1, 1.B.1, 1.B.2, and so forth, are child elements. They are each a child of the parent element, “Standard One – Institutional Mission.”</p><p>Using a series of primary and foreign keys (labeled as “PK” and “FK” in Figure 1), each of these objects is linked in the relational database to each other. Each stand-alone table has at least one attribute in common with another object. This set of relationships enables customized reports to show all relevant data about an alignment: including the name of the entity and URL source of the standards, the course title, version, number of credits, and related programs. Compiling these data in a single report is invaluable, and further elaboration is provided in the section on functionality below.</p><p>When accounting for multiple programs and all 50 states, it is not surprising to consider how many total child elements are included.</p><p>The alignments in our institution’s database are primarily designed to show a link between external elements and internal curricula elements. Depending on the scope of the external element, it may be appropriate to link the element to a competency, course, or assessment item. For example, one state standard may require prospective teacher candidates to complete a “3 semester hour course on reading comprehension for elementary students.” The verbiage in this standard is most appropriate for alignment to a course as a whole, as the standard specifically calls out an entire course. Another entity may have a standard that says: “[Candidates] implement systematic instruction in teaching reading comprehension and monitoring strategies.” This standard is a strong candidate for alignment to one or more competency statements.</p><p>A competency-based education model provides an especially rich opportunity to demonstrate how programs are aligned to standards, especially when a competency is found in multiple courses. In this case, the database only contains a single link of the individual competency to a standard. However, an alignment report can show how that standard is addressed at multiple points throughout the program.</p><p>While the focus of our database is on curricula alignments, not all external elements are applicable to curriculum alignments. Many elements address university policy and procedure. There may be great value in creating additional objects for university policies and linking them in the database as well. In addition, a university may wish to collect elements for states where they do not yet operate or have program approval; the collection of these elements may help the university consider its readiness for expansion to new areas. The ability to quickly query and compare standards is an invaluable feature of a relational database.</p><p>These records are growing as we work on a continuous basis to document and record all new and existing alignments to external elements.</p><p>The following is a sample list of use cases of the database:</p><p>If resources were not a limit, the ideal environment for tracking standards and their alignments to curricula would include a uniquely developed application with a clean user interface. The institution should designate internal subject matter experts who are qualified and authorized to align internal elements to external elements.</p><p>In reality, resources are indeed limited. If no resources exist to develop a software application, consider appointing a compliance database manager (the title of this author). Depending on the scope of your database, one or more appointed staff can design the relational database, load all external data, and oversee the maintenance of these data. A database manager must continuously update the data as external entities update their elements. Any industry standard database software is appropriate for this task, including Oracle, MySQL, Microsoft Access (for single users), and many others.</p><p>The author’s institution employs a compliance database manager to oversee the collection and maintenance of standards and officially record the alignments of those standards to curriculum elements. The database manager works closely with program development faculty, including managers of compliance and program chairs, to take inventory of all alignment documentation as it is created and to add alignment records to the database. All documentation that supports the alignments is saved the file locations of these assets are recorded in the alignment tables. Upon request, the database manager runs queries, reports, and dashboards for faculty to utilize as they monitor how their programs are aligned (or pending alignment) to specific collections of standards. Finally, a team of compliance specialists tracks changes to external elements and informs the database manager when updates are required.</p><p>A centralized repository of external elements and alignment data provides high value for postsecondary institutions. Any faculty or staff who are responsible to demonstrate how the university aligns to external standards should have a designated, maintained, and backed-up source of data. In addition, a centralized source of these data prevents inconsistent alignment documentation; one faculty member may prepare an alignment of standards only to have a different faculty member prepare a different version several months later, especially if there is no awareness of an alignment that has already been created. The database prevents this duplication by having a single source for all alignment activities. In addition, utilizing the university’s formal database application ensures that all data are supported with backup, restoration, and other maintenance functions to protect the data from loss.</p><p>The use cases provided above further demonstrate the value of maintaining standards in a relational database. It eliminates the need to scour the Internet in search of standards and enables users to draw comparisons immediately and search for key phrases with the simple execution of a script.</p><p>The importance of accreditation, approval, and authorization cannot be emphasized enough. Students seek out accredited programs for assurance that their education is high quality. Employers and community stakeholders seek out graduates from programs that have some form of external review and validation. Therefore, the work of aligning external standards to internal elements is crucial for the success of the university. Managing the relationship of these elements in a central database can provide powerful benefits for postsecondary institutions.</p><p>The research, review, and maintenance of over 100,000 data elements are substantial. External entities frequently update their elements. In addition to the regular review and auditing of collections to ensure no changes have occurred, there is significant work to maintain alignment records. The database manager must query expiring elements against the alignment tables. If alignments exist and a new version of the external element has launched, the database manager must coordinate with subject matter experts to ensure new versions of the alignment are recorded.</p><p>In addition to managing updates to external elements, the database manager must carefully monitor all curriculum updates. If a new course or program version is under development, the database manager must be involved early in the process to determine what alignments exist for the previous curriculum version. Reports should be prepared for curriculum developers that show all alignments for existing curriculum versions, followed by reports of new course versions with missing alignments.</p><p>An additional challenge to consider is the technology and support required for an effective relational database. Institutions must consider whether this is a role within the IT department, compliance department, faculty, or some combination of multiple areas. University administration must carefully coordinate these efforts across multiple departments to ensure that the data being recorded are complete and accurate. Alignment reports are only as reliable as the data within them, and this reliability requires cooperation from all areas of the institution that play a role in creating the alignment documentation. Institutions with decentralized administration may find this coordination more challenging.</p><p>There may be other innovative and effective approaches to implementing a standards database. A literature review conducted by this author suggests that the topic has not received substantial contributions from the academic community.</p><p>The management of external elements and their alignment to curriculum standards is crucial for an institution’s ability to demonstrate compliance for accreditation, approval, and authorization. While some institutions may be tempted to decentralize this process and allow for individual departments to create and save their own documentation, a centralized relational database will promote consistency, accuracy, and efficiency. Designing the right queries and reports will support an institution as it navigates compliance with hundreds of external collections. Institutions who use a competency-based model have a particularly strong opportunity to map alignments to standards in a relational database.</p>","PeriodicalId":101234,"journal":{"name":"The Journal of Competency-Based Education","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cbe2.1221","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Competency-Based Education","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cbe2.1221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Administrators of higher education are all too familiar with aligning their institutions to a high volume of standards, regulations, and other external criteria. Managing the alignment of those standards to curricula and policies may be perceived as an insurmountable task, often leading to haphazard and inconsistent documentation methods from department to department. Alignments of standards to one aspect of the university may be out of sync with a similar alignment produced in another area. The development of a relational database of standards can greatly improve an institution’s effectiveness in demonstrating alignment. Such an approach is not limited to institutions that utilize a competency-based model, but it does provide a logical method to demonstrate their alignment; competency statements are poised to demonstrate how external elements are addressed in a program.

These categories of entities are certainly not exhaustive, but they demonstrate the need for institutions to catalog and organize their approach methodically when aligning programs and policies to external elements.

Whether searching for a standard, regulation, rule, or any other external element, there is no single source of data that contain all elements in one repository. Usually, elements are published in a variety of official sources across the Internet. When an institution is ready to audit its compliance with external elements, it must first identify and retrieve the official publication, review it, and begin the painstaking process of mapping out the alignment of programs and policies. Then, this process is repeated for each individual entity with which the institution must align.

A carefully designed relational database can play a critical role in an institution’s approach to aligning with external entities. This author’s institution has developed a Standards and Regulatory Tracking database, referred to using the acronym STaRT. While the design and function of the STaRT database is customized to the institution’s unique model and program offerings, the general description of standards database applications is applicable to all institutions of higher learning.

An entity relationship diagram is illustrated in Figure 1. This diagram does not contain every field for every table, but provides a general conception of the structure and relationship of the database. The Standards Objects described above are located in the left column of the database. The Curriculum Objects are in the right column, and the Alignment Objects in the center column.

The objects are linked together with a hierarchical (parent/child) model, using tables for entities, collections, parent elements, and child elements. For example, Figure 1 shows tables for Body, Collection, Parent Element, and Child Element. The Body represents an external entity as a whole. A Body is a parent to the Collections of the Body, as one body may have one or more Collections of standards. A Collection is a parent to Parent Elements, which are usually the names of standards themselves such as. Finally, a Parent Element is a parent to Child Elements, which are usually the individual indicators of a standard.

An example of this hierarchical relationship in Figure 1 is the following: The Northwest Commission on Colleges and Universities is a Body. The 2020 NWCCU Standards is a Collection and a child of this parent Body. “Standard One – Institutional Mission” is a child of the collection and referred to as a general Parent Element. Indicators 1.A.1, 1.B.1, 1.B.2, and so forth, are child elements. They are each a child of the parent element, “Standard One – Institutional Mission.”

Using a series of primary and foreign keys (labeled as “PK” and “FK” in Figure 1), each of these objects is linked in the relational database to each other. Each stand-alone table has at least one attribute in common with another object. This set of relationships enables customized reports to show all relevant data about an alignment: including the name of the entity and URL source of the standards, the course title, version, number of credits, and related programs. Compiling these data in a single report is invaluable, and further elaboration is provided in the section on functionality below.

When accounting for multiple programs and all 50 states, it is not surprising to consider how many total child elements are included.

The alignments in our institution’s database are primarily designed to show a link between external elements and internal curricula elements. Depending on the scope of the external element, it may be appropriate to link the element to a competency, course, or assessment item. For example, one state standard may require prospective teacher candidates to complete a “3 semester hour course on reading comprehension for elementary students.” The verbiage in this standard is most appropriate for alignment to a course as a whole, as the standard specifically calls out an entire course. Another entity may have a standard that says: “[Candidates] implement systematic instruction in teaching reading comprehension and monitoring strategies.” This standard is a strong candidate for alignment to one or more competency statements.

A competency-based education model provides an especially rich opportunity to demonstrate how programs are aligned to standards, especially when a competency is found in multiple courses. In this case, the database only contains a single link of the individual competency to a standard. However, an alignment report can show how that standard is addressed at multiple points throughout the program.

While the focus of our database is on curricula alignments, not all external elements are applicable to curriculum alignments. Many elements address university policy and procedure. There may be great value in creating additional objects for university policies and linking them in the database as well. In addition, a university may wish to collect elements for states where they do not yet operate or have program approval; the collection of these elements may help the university consider its readiness for expansion to new areas. The ability to quickly query and compare standards is an invaluable feature of a relational database.

These records are growing as we work on a continuous basis to document and record all new and existing alignments to external elements.

The following is a sample list of use cases of the database:

If resources were not a limit, the ideal environment for tracking standards and their alignments to curricula would include a uniquely developed application with a clean user interface. The institution should designate internal subject matter experts who are qualified and authorized to align internal elements to external elements.

In reality, resources are indeed limited. If no resources exist to develop a software application, consider appointing a compliance database manager (the title of this author). Depending on the scope of your database, one or more appointed staff can design the relational database, load all external data, and oversee the maintenance of these data. A database manager must continuously update the data as external entities update their elements. Any industry standard database software is appropriate for this task, including Oracle, MySQL, Microsoft Access (for single users), and many others.

The author’s institution employs a compliance database manager to oversee the collection and maintenance of standards and officially record the alignments of those standards to curriculum elements. The database manager works closely with program development faculty, including managers of compliance and program chairs, to take inventory of all alignment documentation as it is created and to add alignment records to the database. All documentation that supports the alignments is saved the file locations of these assets are recorded in the alignment tables. Upon request, the database manager runs queries, reports, and dashboards for faculty to utilize as they monitor how their programs are aligned (or pending alignment) to specific collections of standards. Finally, a team of compliance specialists tracks changes to external elements and informs the database manager when updates are required.

A centralized repository of external elements and alignment data provides high value for postsecondary institutions. Any faculty or staff who are responsible to demonstrate how the university aligns to external standards should have a designated, maintained, and backed-up source of data. In addition, a centralized source of these data prevents inconsistent alignment documentation; one faculty member may prepare an alignment of standards only to have a different faculty member prepare a different version several months later, especially if there is no awareness of an alignment that has already been created. The database prevents this duplication by having a single source for all alignment activities. In addition, utilizing the university’s formal database application ensures that all data are supported with backup, restoration, and other maintenance functions to protect the data from loss.

The use cases provided above further demonstrate the value of maintaining standards in a relational database. It eliminates the need to scour the Internet in search of standards and enables users to draw comparisons immediately and search for key phrases with the simple execution of a script.

The importance of accreditation, approval, and authorization cannot be emphasized enough. Students seek out accredited programs for assurance that their education is high quality. Employers and community stakeholders seek out graduates from programs that have some form of external review and validation. Therefore, the work of aligning external standards to internal elements is crucial for the success of the university. Managing the relationship of these elements in a central database can provide powerful benefits for postsecondary institutions.

The research, review, and maintenance of over 100,000 data elements are substantial. External entities frequently update their elements. In addition to the regular review and auditing of collections to ensure no changes have occurred, there is significant work to maintain alignment records. The database manager must query expiring elements against the alignment tables. If alignments exist and a new version of the external element has launched, the database manager must coordinate with subject matter experts to ensure new versions of the alignment are recorded.

In addition to managing updates to external elements, the database manager must carefully monitor all curriculum updates. If a new course or program version is under development, the database manager must be involved early in the process to determine what alignments exist for the previous curriculum version. Reports should be prepared for curriculum developers that show all alignments for existing curriculum versions, followed by reports of new course versions with missing alignments.

An additional challenge to consider is the technology and support required for an effective relational database. Institutions must consider whether this is a role within the IT department, compliance department, faculty, or some combination of multiple areas. University administration must carefully coordinate these efforts across multiple departments to ensure that the data being recorded are complete and accurate. Alignment reports are only as reliable as the data within them, and this reliability requires cooperation from all areas of the institution that play a role in creating the alignment documentation. Institutions with decentralized administration may find this coordination more challenging.

There may be other innovative and effective approaches to implementing a standards database. A literature review conducted by this author suggests that the topic has not received substantial contributions from the academic community.

The management of external elements and their alignment to curriculum standards is crucial for an institution’s ability to demonstrate compliance for accreditation, approval, and authorization. While some institutions may be tempted to decentralize this process and allow for individual departments to create and save their own documentation, a centralized relational database will promote consistency, accuracy, and efficiency. Designing the right queries and reports will support an institution as it navigates compliance with hundreds of external collections. Institutions who use a competency-based model have a particularly strong opportunity to map alignments to standards in a relational database.

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通过关系数据库使高等教育机构与外部标准保持一致
高等教育的管理者们都非常熟悉使他们的机构与大量的标准、法规和其他外部标准保持一致。管理这些标准与课程和政策的一致性可能被认为是一项不可逾越的任务,经常导致各部门之间的文件方法随意和不一致。大学某方面的标准可能与另一领域产生的类似标准不同步。标准关系数据库的开发可以极大地提高机构在展示一致性方面的有效性。这种方法并不局限于利用基于能力的模型的机构,但它确实提供了一种逻辑方法来证明它们的一致性;能力陈述是用来演示如何在程序中处理外部元素的。这些实体的类别当然不是详尽无遗的,但是它们证明了机构在将程序和政策与外部元素对齐时需要对其方法进行系统的编目和组织。无论是搜索标准、规则、规则还是任何其他外部元素,都不存在一个存储库中包含所有元素的单一数据源。通常,元素在互联网上的各种官方来源中发布。当一个机构准备审计其对外部因素的遵从性时,它必须首先识别和检索官方出版物,对其进行审查,并开始制定计划和政策一致性的艰苦过程。然后,对机构必须与之保持一致的每个个体重复此过程。精心设计的关系数据库可以在机构与外部实体保持一致的方法中发挥关键作用。本文作者所在的机构开发了一个标准和监管跟踪数据库,简称为STaRT。虽然STaRT数据库的设计和功能是根据机构的独特模式和项目而定制的,但标准数据库应用程序的一般描述适用于所有高等院校。实体关系图如图1所示。此图不包含每个表的每个字段,但提供了数据库结构和关系的一般概念。上面描述的标准对象位于数据库的左列。课程对象位于右列,对齐对象位于中心列。对象通过层次(父/子)模型链接在一起,使用实体、集合、父元素和子元素的表。例如,图1显示了Body、Collection、Parent Element和Child Element的表。身体作为一个整体代表一个外部实体。一个Body是Body集合的父类,因为一个Body可以有一个或多个标准集合。集合是父元素的父元素,父元素通常是标准本身的名称,例如。最后,父元素是子元素的父元素,子元素通常是标准的单个指示符。图1中这种层级关系的一个例子如下:西北学院和大学委员会是一个机构。2020年NWCCU标准是一个集合,也是这个母体的孩子。“标准一-机构使命”是集合的子元素,被称为一般父元素。指标1.。1、1. b。1、1. b。2等等,都是子元素。它们都是父元素“标准一-机构使命”的子元素。使用一系列主键和外键(在图1中标记为“PK”和“FK”),这些对象中的每一个都在关系数据库中相互链接。每个独立表至少有一个与另一个对象相同的属性。这组关系使自定义报告能够显示有关校准的所有相关数据:包括标准的实体名称和URL源、课程名称、版本、学分数量和相关程序。将这些数据汇编在一份报告中是非常宝贵的,下面关于功能的部分将提供进一步的阐述。当考虑到多个程序和所有50个州时,考虑总共包含多少个子元素并不奇怪。我们机构数据库中的对齐主要是为了显示外部元素和内部课程元素之间的联系。根据外部元素的范围,将元素与能力、课程或评估项目联系起来可能是合适的。例如,一个州的标准可能要求未来的教师候选人完成“3个学期的小学生阅读理解课程”。该标准中的措辞最适合与整个课程保持一致,因为该标准特别指出了整个课程。 在中央数据库中管理这些元素的关系可以为高等教育机构提供强大的好处。对超过100,000个数据元素的研究、审查和维护是非常重要的。外部实体经常更新它们的元素。除了定期检查和审计集合以确保没有发生更改之外,还有维护对齐记录的重要工作。数据库管理器必须根据对齐表查询即将过期的元素。如果存在对齐,并且启动了外部元素的新版本,则数据库管理器必须与主题专家协调,以确保记录对齐的新版本。除了管理外部元素的更新之外,数据库管理器还必须仔细监视所有课程的更新。如果正在开发新的课程或程序版本,则数据库管理器必须尽早参与该过程,以确定与以前的课程版本有哪些一致之处。应该为课程开发人员准备报告,显示现有课程版本的所有一致性,然后是缺少一致性的新课程版本的报告。需要考虑的另一个挑战是有效的关系数据库所需的技术和支持。机构必须考虑这个角色是属于IT部门、法规遵从部门、教员,还是多个领域的组合。大学管理部门必须仔细协调多个部门的工作,以确保记录的数据完整和准确。校准报告只有和其中的数据一样可靠,并且这种可靠性需要来自机构中所有在创建校准文档中扮演角色的领域的合作。行政权力下放的机构可能会发现这种协调更具挑战性。可能还有其他创新和有效的方法来实现标准数据库。作者进行的文献综述表明,该主题尚未得到学术界的实质性贡献。外部元素的管理及其与课程标准的一致性对于机构证明符合认证、批准和授权的能力至关重要。虽然一些机构可能会试图分散这一过程,并允许各个部门创建和保存自己的文档,但集中的关系数据库将促进一致性、准确性和效率。设计正确的查询和报告将支持机构遵循数百个外部集合。使用基于能力的模型的机构有特别强的机会将一致性映射到关系数据库中的标准。
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