Effects of computer-based mind mapping on students' reflection, cognitive presence, and learning outcomes in an online course

Liu, Zhi; Kong, Xi; Liu, Sanya; Zhi‐Jian, Yang

doi:10.1080/01587919.2023.2226615

Cited by 21 publications

(2 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This paper envisages novel method named Blockchain based Federated Learning based Cybersecurity Solution (BFL-CS) methodology to handle cyberbullying in social media space and its prevention ( 14 ). In the approach defined in this study, a Federated Learning methodology is employed with methods such as a modified LSTM in tandem traditional DBN to improve on the statistical parameters of the model and the privacy security of the model.…”

Section: Proposed Design Methodologymentioning

confidence: 99%

A novel approach toward cyberbullying with intelligent recommendations using deep learning based blockchain solution

Alabdali,

Mashat

2024

Front. Med.

View full text Add to dashboard Cite

Integrating healthcare into traffic accident prevention through predictive modeling holds immense potential. Decentralized Defense presents a transformative vision for combating cyberbullying, prioritizing user privacy, fostering a safer online environment, and offering valuable insights for both healthcare and predictive modeling applications. As cyberbullying proliferates in social media, a pressing need exists for a robust and innovative solution that ensures user safety in the cyberspace. This paper aims toward introducing the approach of merging Blockchain and Federated Learning (FL), to create a decentralized AI solutions for cyberbullying. It has also used Alloy Language for formal modeling of social connections using specific declarations that are defined by the novel algorithm in the paper on two different datasets on Cyberbullying and are available online. The proposed novel method uses DBN to run established relation tests amongst the features in two phases, the first is LSTM to run tests to develop established features for the DBN layer and second is that these are run on various blocks of information of the blockchain. The performance of our proposed research is compared with the previous research and are evaluated using several metrics on creating the standard benchmarks for real world applications.

show abstract

Section: Proposed Design Methodologymentioning

confidence: 99%

A novel approach toward cyberbullying with intelligent recommendations using deep learning based blockchain solution

Alabdali,

Mashat

2024

Front. Med.

View full text Add to dashboard Cite

show abstract

“…Additionally, Ref. [ [27] , [28] , [29] ] examined the impact of cognitive and psychological factors on the academic performance of secondary school pupils using a feed-forward neural network. The authors concluded that utilizing ANN to group students into different groups based on their performance is an effective technique that enables curriculum designers and planners to deliver better educational services.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of student failure in higher education by an innovative strategy of fuzzy system combined optimization algorithms and AI

Nie,

Ahmadi Dehrashid

2024

Heliyon

View full text Add to dashboard Cite

A novel learning framework for vocal music education: an exploration of convolutional neural networks and pluralistic learning approaches

Cui,

Chen

2024

Soft Comput

View full text Add to dashboard Cite

Effects of computer-based mind mapping on students' reflection, cognitive presence, and learning outcomes in an online course

Cited by 21 publications

References 54 publications

A novel approach toward cyberbullying with intelligent recommendations using deep learning based blockchain solution

A novel approach toward cyberbullying with intelligent recommendations using deep learning based blockchain solution

Evaluation of student failure in higher education by an innovative strategy of fuzzy system combined optimization algorithms and AI

A novel learning framework for vocal music education: an exploration of convolutional neural networks and pluralistic learning approaches

Contact Info

Product

Resources

About