External Sources of Dataexternal Sources Of Dataname Of ✓ Solved

In an attempt to establish the viability of a perceived opportunity in a particular field, external sources such as employer expectations and occupational statistics are relevant sources of data. The evaluation using external data sources is typically done to establish if the opportunity exists and to determine whether to introduce the institution to the chance. Academic program developers utilize these types of data to enhance programs and increase their effectiveness in the marketplace.

Employer Expectations

When students apply for a course, their main concern is usually the job market. This observation is significant as it reflects how academic programs operate within the marketplace. Educational program developers depend on data collected from employers through advisory boards to ensure that the curriculum is meaningful and that students are likely to secure employment after graduation. Relevant data obtained from employers includes the effectiveness of programs in providing career opportunities.

Alumni provide vital information about how well the program prepared them for their careers, which is crucial for program evaluations. Based on program overviews, students are expected to acquire skills like problem-solving, critical thinking, creativity, and effective communication. These skills align with what employers look for in their hiring processes.

Occupational Statistics

Occupational statistics cover the duties and responsibilities associated with jobs and are typically outlined in job descriptions. This information is essential for applicants to self-evaluate their qualifications. Academic program developers can use this data to compare it with student performance and determine program effectiveness, leading to decisions on program enhancements or expansions.

Data that can be collected from these sources includes job market opportunities and trends. While research can provide insights, it may not accurately predict future job market trends due to changes in business needs and program offerings. Understanding the skills required for specific opportunities can lead to the introduction of specialized subfields that enhance competitive advantages for students.

Use of the Data

As students seek the relevance of courses to the job market, analyzing enrollment trends can indicate the program’s significance and effectiveness. For example, a case study on enrollment in certain programs might reveal a declining trend, suggesting students find it irrelevant. Feedback from students and alumni can highlight areas needing improvement, such as assignment guidelines or content delivery.

Comments from alumni could reflect on how well the program equips students with necessary skills in the job market, such as creativity and problem-solving abilities. References are crucial in evaluating employer expectations and occupational statistics, as they provide a comprehensive view of the job landscape.

Conclusion

In conclusion, external sources of data, including employer expectations and occupational statistics, are invaluable in assessing and enhancing academic programs. By aligning institutional offerings with labor market demands, colleges can prepare students for successful careers, ensuring the relevance and effectiveness of their educational programs. The continuous evaluation of these data sources will allow institutions to adapt and thrive in an ever-changing job market.

References

  • Freeman, Chambers, C. R., & King, B. R. (2016). The Important Role of Institutional Data in the Development of Academic Programming in Higher Education: New Directions for Institutional Research, Number 168.

  • Bureau of Labor Statistics. (2019). Mathematicians and statisticians.

  • Case Study Program Overview, Jamestown College. (2017).

  • Anderson, R. (2015). Why college grads aren’t meeting employer expectations.

  • Zansler, S. (n.d.). Career in mathematics.

  • O*Net Online. (n.d.). Summary Report for: .00 - Mathematicians.

  • Mathematics Administration and Faculty, Jamestown College. (2017).

  • Southern New Hampshire University, HEA 540 Case Study, Program Evaluation Course.

  • Freeman et al., (2016). The role of external data in program development.

  • Career growth in mathematics as per Bureau of Labor Statistics (2019).