Harold Cohen is a renowned painter who has developed a computer program, AARON, to create art. While AARON has been hailed as one of the most creative AI programs, Cohen consistently rejects the claims of machine creativity. Questioning the possibility for AI to model human creativity, Cohen suggests in so many words that the human mind takes a…

Sequence classification is an important problem in many real-world applications. Unlike other machine learning data, there are no "explicit" features or signals in sequence data that can help traditional machine learning algorithms learn and predict from the data. Sequence data exhibits inter-relationships in the elements that are…

We address the issue of consumer privacy against the backdrop of the national priority of maintaining global leadership in artificial intelligence, the ongoing research in Artificial Cognitive Assistants, and the explosive growth in the development and application of Voice Activated Personal Assistants (VAPAs) such as Alexa and Siri, spurred on by…

High school students nationwide spent the whole academic year fully online or in and out of a cobbled together hybrid format. While these students are digital naturals, they were asked to do even more online and lost opportunities to engage traditional in-person milestones like prom, graduation, and college visits. After a year of "Zooming it…

The COVID-19 pandemic has shed light on how much humans rely, more than ever before in our history, on technology. While technology in its simplest definition is the use of a tool for a practical purpose, in the last three decades, educators can confidently say it has revolutionized how information is communicated and accessed. Most importantly,…

Research strategies over the last decade have predominantly focused on situated English learning in a conventional classroom setting. The students' use of strategy to enhance writing skills in online learning has received little attention. This study explores how the Situated Learning (SL) approach affects EFL Saudi student writing tasks in which…

Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student's grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence…

This study investigates the effectiveness of an Artificial Intelligence (AI) speaker as a device used for interactions in a foreign language (L2), and a tracking eye installed on the speaker to reduce L2 anxiety. L2 anxiety is an urgent issue since the anxiety derived from a fear of being judged, being negatively evaluated, or being rejected by…

Phonotactics--constraints on the position and combination of speech sounds within syllables--are subject to statistical differences that gradiently affect speaker and listener behavior (e.g., Vitevitch & Luce, 1999). What statistical properties drive the acquisition of such constraints? Because they are naturally highly correlated, previous…

The pace of retail evolution has increased dramatically, with the spread of the Internet and as consumers have become more empowered by mobile phones and smart devices. This article outlines significant retail innovations that reveal how retailers and retailing have evolved in the past several decades. In the same spirit, the authors discuss how…

The thesis explores efficient learning algorithms in settings which are more restrictive than the PAC model of learning (Valiant) in one of the following two senses: (i) The learning algorithm has a very weak access to the unknown function, as in, it does not get labeled samples for the unknown function (ii) The error guarantee required from the…

The objective of this study is twofold: (1) to investigate the factors that affect the success of university students by employing two artificial neural network methods (i.e., multilayer perceptron [MLP] and radial basis function [RBF]); and (2) to compare the effects of these methods on educational data in terms of predictive ability. The…

Background: Problem posing, the generation of questions by learners, has been shown to be an effective instructional strategy for teaching-learning of complex materials in domains such as mathematics. In this paper, we demonstrate the potential of problem posing in two dimensions. Firstly, we present how problem posing can result in unfolding of…

Many problems related to synthesis with intelligent tutoring may be phrased as program synthesis problems using AI-style search and formal reasoning techniques. The _x000C_first two results in this dissertation focus on problem synthesis as an aspect of intelligent tutoring systems applied to STEM-based education frameworks, specifically high…

In recent years, artificial intelligence applications for understanding the human thinking process and transferring it to virtual environments come into prominence. The fuzzy logic which paves the way for modeling human behaviors and expressing even vague concepts mathematically, and is also regarded as an artificial intelligence technique has…