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Computational Thinking And Coding For Young Children: A Hybrid Approach To Link Unplugged And Plugged Activities, Daisuke Akiba Nov 2022

Computational Thinking And Coding For Young Children: A Hybrid Approach To Link Unplugged And Plugged Activities, Daisuke Akiba

Publications and Research

In our increasingly technology-dependent society, the importance of promoting digital literacy (e.g., computational thinking, coding, and programming) has become a critical focus in the field of childhood education. While young children these days are routinely and extensively exposed to digital devices and tools, the efficacy of the methods for fostering digital skills in the early childhood classroom has not always been closely considered. This is particularly true in settings where early childhood educators are not digital experts. Currently, most of the efforts in standard early childhood settings, taught by teachers who are not digital experts, appear to revolve around “unplugged” …


Emotion Recognition With Audio, Video, Eeg, And Emg: A Dataset And Baseline Approaches, Jin Chen, Tony Ro, Zhigang Zhu Jan 2022

Emotion Recognition With Audio, Video, Eeg, And Emg: A Dataset And Baseline Approaches, Jin Chen, Tony Ro, Zhigang Zhu

Publications and Research

This paper describes a new posed multimodal emotional dataset and compares human emotion classification based on four different modalities - audio, video, electromyography (EMG), and electroencephalography (EEG). The results are reported with several baseline approaches using various feature extraction techniques and machine-learning algorithms. First, we collected a dataset from 11 human subjects expressing six basic emotions and one neutral emotion. We then extracted features from each modality using principal component analysis, autoencoder, convolution network, and mel-frequency cepstral coefficient (MFCC), some unique to individual modalities. A number of baseline models have been applied to compare the classification performance in emotion recognition, …