Bloom's taxonomy revisited

Starr, Christopher W.; Manaris, Bill; Stalvey, RoxAnn

doi:10.1145/1352135.1352227

Cited by 41 publications

(7 citation statements)

References 4 publications

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“…In addition to providing details regarding the module, student assessment, and practical labs, this paper has provided practitioner perspectives on what worked well (or not). This is significant considering the importance of bridging the gap between learning outcomes, teaching content and assessment [2], especially for computing lecturers [21].…”

Section: Context Of Practicementioning

confidence: 99%

Simulation-Based Learning via Cisco Packet Tracer to Enhance the Teaching of Computer Networks

Allison

2022

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1

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Teaching and learning computer networks is a crucial part of a computing undergraduates' education. However, it is an abstract topic with theory that can be challenging for students to comprehend. Simulation-based learning can be used as a teaching tool to enhance networking-based lecture topics and help students more easily understand and visualise how it really works in a safe, user-friendly environment. One such simulation tool, Cisco Packet Tracer, can be used to good effect, and this paper reports on the practical implementation of the tool as identified in existing literature. Additionally, this paper discusses how Packet Tracer was utilised as part of a UK based first year undergraduate module 'Computers and Security', and details the content of nine practical sessions, whilst also identifying the main benefits and challenges of their implementation from a practitioner's perspective. It was found that while Packet Tracer can be an additional benefit to augment the teaching of networking concepts, there are limitations and challenges which educators must be aware of if implementing the tool. The paper therefore concludes with providing recommendations which should help educators and curriculum designers in creating and delivering more effective and interactive networking sessions. CCS CONCEPTS• Social and professional topics → Computing education programs; • Networks → Network simulations.

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Section: Context Of Practicementioning

confidence: 99%

Simulation-Based Learning via Cisco Packet Tracer to Enhance the Teaching of Computer Networks

Allison

2022

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1

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“…A key problem faced by computing lecturers is bridging the gap between learning outcomes, what to teach, and how to assess what students have learned [24]. This paper has discussed the approach taken to address this issue and discussed the implementation of a flipped classroom approach in the context of a 'Mathematics for Technology' module delivered during the COVID-19 pandemic.…”

Section: Conclusion and Recommendations For Practitionersmentioning

confidence: 99%

Flipped Classroom Teaching in a Mathematics for Technology Course: Recommendations for Success

Allison

2021

Proceedings of the 21st Koli Calling International Conference on Computing Education Research

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“…In this research work, criterion-referenced grading scheme based on Bloom taxonomy is used to differentiate among weak, modest and good students academically instead of traditional normreferenced grading schemes. Other related work by [22], [23], [24], [25] serve as testament to the significance of Bloom Taxonomy in assessments. A Web based Educational System (WEAS) was developed with the integration of Bloom taxonomy which will provide immediate feedback to learners on their level of understanding on a particular subject matter in contrast to paper based system where immediate feedback may not be forthcoming [22].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In another case, the study [24] signifies the importance of Bloom taxonomy by integrating it into CRESST cognitive demands analysis to determine the necessary student skills required for software risk management. Also benefited from Bloom taxonomy is the work by [25] where the taxonomy has been used for specifying learning outcomes in computer science prior to assessment. In summary, the taxonomy is deeply rooted in assessments in HEI till present.…”

Section: Literature Reviewmentioning

confidence: 99%

A review in feature extraction approach in question classification using Support Vector Machine

Sangodiah

Ahmad²,

Ahmad³

2014

2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014)

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Text classification which is an integral part of text mining has caught much attention in various industries and fields recently. The ability is in assigning text documents to one or more pre-defined categories based on content similarity. While most of application of text classification focuses on document level, question classification works at much granular level such as sentence and phrase. There have been numerous studies on question classification in accordance to Bloom taxonomy in assessments to measure cognitive level of learners in higher learning institutions. But it has not been effective yet to resolve overlapping issue of Bloom taxonomy verb keywords being assigned to more than one category of Bloom taxonomy. The presence of this poses a problem in respect of classifying a particular question into a right category of Bloom taxonomy. And feature extraction plays an important role in improving the accuracy of classifier such as Support Vector Machine in question classification. Much of the past related research work focus on feature extraction methods such as bag of word (BOW) and syntactic analysis to classify questions and to address the issue, an improvement in feature extraction is needed. In view of this, this study proposes an integrated approach in feature extraction involving semantic aspect in classifying questions in accordance to Bloom taxonomy. Support Vector Machine classifier is used as it is well known for its high accuracy in text classification. With all this in place, an improved accuracy in classifying questions in accordance to Bloom taxonomy can be expected.

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Bloom's taxonomy revisited

Cited by 41 publications

References 4 publications

Simulation-Based Learning via Cisco Packet Tracer to Enhance the Teaching of Computer Networks

Simulation-Based Learning via Cisco Packet Tracer to Enhance the Teaching of Computer Networks

Flipped Classroom Teaching in a Mathematics for Technology Course: Recommendations for Success

A review in feature extraction approach in question classification using Support Vector Machine

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