Enhancing Development of Competencies by Means of Continuous Improvement Processes

Frank, Brian; Simper, Natalie; Cai, B.; Salem, Deena; Kaupp, Jake; Lindley-Peart, Max

doi:10.3138/cpp.2017-041

Cited by 2 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, it is worth examining the training needs assessment process, as research shows it is absent in every third company. As indicated in the relevant literature, the effectiveness of the improvement process can be ensured through a more systematic approach to this issue (Hamadamin, Atan, 2019;Frank et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Untitled

2023

SPSUTOM

View full text Add to dashboard Cite

Artificial intelligence (AI) can be applied in various areas of crisis management. It can provide numerous benefits concerning speed, effectiveness and precision of actions. AI accelerates the process of massive amounts of data processing, such as sensor data, satellite images, social data streams and much more. This enables to make quick analysis of a situation and make quick decisions in order to monitor various sources of information in real-time and detect early signals of a crisis. Advanced algorithms can identify patterns and anomalies enabling a quick response. AI can be used to model various crisis scenarios based on available historical and current data. This way it is possible to predict the probable effects of a given crisis and prepare for various situations. AI can analyze social media data to monitor community sentiments, identify potential threats and manage crisis communication. Automatic sentiment analysis systems can help understand society's response to a crisis. Advanced AI systems can be used to predict human behavior in various crisis scenarios. This allows to understand better how people may react and what their needs are in a given time. AI can help detect and combat cyber attacks, which constitute a serious threat, especially when it is necessary to maintain critical infrastructures. Integrating AI into crisis management requires caution because decisions made by AI systems should be consistent with ethical standards and they must consider the human supervision and assessment of the crisis situation. Design/methodology/approach: The paper analyzes the AI methods applied during crises. The results of interviews conducted with students, teachers and authors' personal experiences are provided. Findings: AI is a new way of solving problems, especially during crises. The new technologies determine the way and the speed of problems solving. Originality/value: Originality based on the interviews and post-crisis (COVID) points of view are the value.

show abstract

Section: Discussionmentioning

confidence: 99%

Untitled

2023

SPSUTOM

View full text Add to dashboard Cite

show abstract

“…Most curriculum CI models are an extension or variation of Deming's PDCA with an adapted set of acronyms such as Data Collection-Analysis-Review-Action [21], 5-Step-Assessment [27], Gather-Read-Analyze-Make (GRAM) [28], Plan-Deploy-Measure-Improve [29], and LEAN/EDU-FOCUS-PDCA [20]. Frank et al presented a heuristics model that is less formal in its curriculum CI approach [30]. A more practical approach of Audit-and-Fix is also presented, where objectives of a curriculum are consolidated with course outcomes.…”

Section: Curriculum and Programmentioning

confidence: 99%

“…One way to overcome this challenge is to provide faculty with just-in-time training on accreditation tasks and tools [24], [34]. Embedding a pedagogical expert with the faculty is another approach to help ease the time scarcity problem [30]. Another challenge to faculty CI is how they handle the pressure to improve their teaching and the assessments used for that process (student evaluation scores vs. learning outcome achievements) [19].…”

Section: Curriculum and Programmentioning

confidence: 99%

Continuous Improvement in Academic Computing Programs is Rarely Comprehensive

Azzouni¹,

Parham-Mocello²

2021 ASEE Virtual Annual Conference Content Access Proceedings

View full text Add to dashboard Cite

Enhancing Development of Competencies by Means of Continuous Improvement Processes

Cited by 2 publications

References 30 publications

Untitled

Untitled

Continuous Improvement in Academic Computing Programs is Rarely Comprehensive

Contact Info

Product

Resources

About