This book presents 28 practical case studies in detail and 49 case studies in brief. The collection of these case studies focuses on one or more aspects of exploration and practice on the following topics: smart campus and smart classroom, resource construction and sharing, new teaching mode, comprehensive quality evaluation of students, teacher…

The recent advancement of large language models presents numerous opportunities for teaching and learning. Despite widespread public debate regarding the use of large language models, empirical research on their opportunities and risks in education remains limited. In this work, we demonstrate the qualities and shortcomings of using ChatGPT 3.5…

The objectives of this research on Cognitive Technology for Academic Counselling in the New Normal were (1) to design an architecture of cognitive technology for academic counselling in the new normal, (2) to develop a system of cognitive technology for academic counselling in the new normal, (3) to assess the academic performance of students…

Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…

In this article, we examine the sociopolitical implications of AI technologies as they are integrated into writing instruction and assessment. Drawing from new materialist and Black feminist thought, we consider how learning analytics platforms for writing are animated by and through entanglements of algorithmic reasoning, state standards and…

Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…

New Jersey consistently ranks as one of the top-performing states in the country when it comes to education. Most recently, it was ranked third in the nation. A look at the state's standards in any subject shows the state works diligently to vertically align standards while also challenging students in order to better prepare them for the future…

Educational chatbots promise many benefits for teaching and learning. Although chatbot use cases in this research field are rapidly growing, most studies focus on individual users rather than on collaborative group settings. To address this issue, this paper investigates how chatbot-mediated learning can be designed to foster middle school…

The purpose of this study was to build a Random Forest supervised machine learning model in order to predict musical rater-type classifications based upon a Rasch analysis of raters' differential severity/leniency related to item use. Raw scores (N = 1,704) from 142 raters across nine high school solo and ensemble festivals (grades 9-12) were…

COVID-19 presented a challenge to the traditional methods of teaching programming and robotics in a secondary school environment. When campuses were closed around the world in the spring of 2020, it was not possible for students to access the computer labs nor the robotics equipment that was traditionally used to facilitate the instruction of…

Background: We examine the development of youth sociopolitical consciousness and agency in an eighth-grade science classroom as students of color engage in critical speculative design activities, exploring the multi-scalar, racial realities and possibilities of the science and engineering of pervasive digital technologies--specifically involving…

Correct pronunciation significantly increases the intelligibility of communication. However, it is uncertain whether acquiring the pronunciation of the words enhances word retention capability. Therefore, the major purpose of this research is to evaluate whether vocabulary acquisition with the aid of pronouncing with artificial intelligence leads…

Non-cognitive factors are considered critical aspects in shaping students' academic achievement. This study aims to analyze and explore the mechanisms of the influence of noncognitive factors on 15-year-old students' abilities in China and the United States. Based on the Programme for International Student Assessment (PISA) 2018 education dataset,…

Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…

This study investigates the transformative potential of integrating Artificial Intelligence (AI), animation, and personalized learning in contemporary education. Employing a mixed-methods approach involving interviews and experimental manipulations, the research examines the interconnectedness of these three domains and their collective impact on…