Wyniki wyszukiwania dla: AFFECTIVE LEARNING

• Affective computing and affective learning – methods, tools and prospects

  Publikacja

  • A. Landowska

  - EduAkcja. Magazyn Edukacji Elektronicznej - Rok 2013

  Every teacher knows that interest, active participation and motivation are important factors in the learning process. At the same time e-learning environments almost always address only the cognitive aspects of education. This paper provides a brief review of methods used for affect recognition, representation and processing as well as investigates how these methods may be used to address affective aspect of e-education. The paper...

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• Affective Learning Manifesto – 10 Years Later

  Publikacja

  • A. Landowska

  - Rok 2014

  In 2004 a group of affective computing researchers proclaimed a manifesto of affective learning that outlined the prospects and white spots of research at that time. Ten years passed by and affective computing developed many methods and tools for tracking human emotional states as well as models for affective systems construction. There are multiple examples of affective methods applications in Intelligent Tutoring Systems (ITS)....

• AffecTube — Chrome extension for YouTube video affective annotations

  Publikacja

  • D. Kulas
  • M. Wróbel

  - SoftwareX - Rok 2023

  The shortage of emotion-annotated video datasets suitable for training and validating machine learning models for facial expression-based emotion recognition stems primarily from the significant effort and cost required for manual annotation. In this paper, we present AffecTube as a comprehensive solution that leverages crowdsourcing to annotate videos directly on the YouTube platform, resulting in ready-to-use emotion-annotated...

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• Employing a biofeedback method based on hemispheric synchronization in effective learning

  Publikacja

  • K. Kaszuba-Miotke
  • K. Kopaczewski
  • P. Odya
  • B. Kostek

  - Rok 2012

  In this paper an approach to build a brain computer-based hemispheric synchronization system is presented. The concept utilizes the wireless EEG signal registration and acquisition as well as advanced pre-processing methods. The influence of various filtration techniques of EOG artifacts on brain state recognition is examined. The emphasis is put on brain state recognition using band pass filtration for separation of individual...

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• Multivariate Features Extraction and Effective Decision Making Using Machine Learning Approaches

  Publikacja

  • S. Gharsellaoui
  • M. Mansouri
  • S. Refaat
  • H. Abu-Rub
  • H. Messaoud

  - ENERGIES - Rok 2020

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• Supporting First Year Students Through Blended-Learning - Planning Effective Courses and Learner Support

  Publikacja

  • A. M. Dąbrowicz-Tlałka
  • H. Guze

  - Rok 2010

  Higher education has been actively encouraged to find more effective and flaxible delivery models to provide all students with access to good quality learning experiences. This paper describes students opinion about using e-learning techniques and their participation in courses provided in different ways as additional help and expectations of first year students.

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• Journal of Affective Disorders

  Czasopisma

  ISSN: 0165-0327 , eISSN: 1573-2517

• Agnieszka Landowska dr hab. inż.

  Osoby

  Katedra Inżynierii Oprogramowania

  Ukończyła studia na dwóch kierunkach: Finanse i bankowość na Uniwersytecie Gdańskim oraz Informatyka na WETI Politechniki Gdańskiej. Od 2000 roku jest związana z Politechniką Gdańską. W 2006 roku uzyskała stopień doktora w dziedzinie nauk technicznych, a w roku 2019 stopień doktora habilitowanego. Aktualnie jej praca naukowa dotyczy zagadnień interakcji człowiek-komputer oraz informatyki afektywnej (ang. affective computing), która...

• Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach

  Publikacja

  • F. Bagherzadeh
  • A. Shojaei Nouri
  • M. J. Mehrani
  • S. Thennadil

  - PROCESS SAFETY AND ENVIRONMENTAL PROTECTION - Rok 2021

  Treatment of municipal wastewater to meet the stringent effluent quality standards is an energy-intensive process and the main contributor to the costs of wastewater treatment plants (WWTPs). Analysis and prediction of energy consumption (EC) are essential in designing and operating sustainable energy-saving WWTPs. In this study, the effect of wastewater, hydraulic, and climate-based parameters on the daily consumption of EC by...

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• IEEE Transactions on Affective Computing

  Czasopisma

  ISSN: 1949-3045