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What are the most effective evaluation criteria for assessing the quality of a presentation in academic settings? 

Fuzzy number
Artificial neural network
Convolutional neural network
Defuzzification
Presentation
Best insight from top research papers

The most effective evaluation criteria for assessing the quality of a presentation in academic settings involve various methodologies. One approach is the utilization of machine learning and neural networks to measure audience attention and lecture quality. Another effective method is the development of a formal model using aggregation operators like the weighted averaging operator and fuzzy Choquet integral to evaluate presentations based on expert preferences and interdependencies between quality criteria. Additionally, the use of a Fuzzy Inference System (FIS) model has shown success in overcoming the challenges of subjective judgment in poster presentation evaluation, providing flexibility, reliability, and aligning with human reasoning. Incorporating prosodic and gestural features, such as pitch variation, loudness, and natural hand gestures, can also significantly influence the audience's perception of a good presenter, aiding in categorizing presentation quality accurately.

Answers from top 5 papers

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Papers (5)Insight
Proceedings Article•DOI
Presentation quality assessment using acoustic information and hand movements
Fasih Haider, Loredana Cerrato, Nick Campbell, Saturnino Luz 
20 Mar 2016
23 Citations
Prosodic characteristics like pitch variation and perceived loudness, along with natural hand gestures, are effective criteria for assessing presentation quality in academic settings.
Open access•Journal Article•DOI
Powerpoint Presentation Evaluation Based on Aggregation of Quality Criteria.
Sergey Sakulin, Alexander Alfimtsev, Dmitry Sokolov 
01 Jan 2021-International Journal of Information and Communication Technology Education
2 Citations
The most effective evaluation criteria for assessing presentation quality in academic settings are based on the Choquet integral, incorporating interdependencies between criteria to formalize expert preferences.
Book Chapter•DOI
Academic Poster Evaluation by Mamdani-Type Fuzzy Inference System
Siti Rosiah Mohamed, Fairuz Shohaimay, Nazirah Ramli, Nazihah Ismail, Syafiza Saila Samsudin 
01 Jan 2018
1 Citations
The most effective evaluation criteria for assessing academic poster presentations involve a Mamdani-type Fuzzy Inference System with inputs, rules, and trapezoidal fuzzy numbers for decision-making.
Book•DOI
Academic & Scientific Poster Presentation
Nicholas Rowe
01 Jan 2017
16 Citations
The most effective evaluation criteria for assessing presentation quality include conformity to structure, relevance to theme, novelty, clarity, significance, and methodology, graded on a 0-5 scale.
Open access•Journal Article•DOI
Lecture quality assessment based on the audience reactions using machine learning and neural networks
Elahe Mohammadreza, Reza Safabakhsh 
01 Jan 2021
3 Citations
The most effective evaluation criteria for assessing lecture quality in academic settings involve utilizing machine learning and neural networks to measure audience reactions, attention, and overall engagement levels.

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