Author name: Nasim Gazerani

Nasim Gazerani was born in 1983 in Arak. She holds a Master's degree in Software Engineering from UM University of Malaysia.

A Smart Mobile Learning Conceptual Framework for Professional Development of UAE In-Service Teachers

A Smart Mobile Learning Conceptual Framework for Professional Development of UAE In-Service Teachers

Abstract Increasingly, mobile learning has been considered as a part of professional development due to its unique attributes: ubiquitous, flexible, highly personalized, and easily accessible. It represents a paradigm shift

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Instructors' Acceptance of Learning Management Systems: A Theoretical Framework

Instructors’ Acceptance of Learning Management Systems: A Theoretical Framework

Abstract In the knowledge age, the use of information technology (IT) tools including learning management systems (LMS) has become imperative. The adoption rate of LMS in academic and training institutions

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A systematic literature review on Enterprise Architecture Implementation Methodologies

A systematic literature review on Enterprise Architecture Implementation Methodologies

Abstract Context: Enterprise Architecture (EA) is a strategy to align business and Information Technology (IT) within an enterprise. EA is managed, developed, and maintained throughout the EA Implementation Methodology (EAIM).

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Multimodal Human Computer Interaction with MIDAS Intelligent Infokiosk

Multimodal Human Computer Interaction with MIDAS Intelligent Infokiosk

Abstract In this paper, we present an intelligent information kiosk called MIDAS (Multimodal Interactive-Dialogue Automaton for Self-service), including its hardware and software architecture, stages of deployment of speech recognition and

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M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues

M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues

Abstract We present M3ER, a learning-based method for emotion recognition from multiple input modalities. Our approach combines cues from multiple co-occurring modalities (such as face, text, and speech) and also

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