We introduce DeepPerfEmb, or DPE, a new deep-learning model that captures dense representations of students' online behaviour and meta-data about students and educational content. The model uses these representations to predict student performance. We evaluate DPE on standard datasets from the literature, showing superior performance to the…

Effectively estimating student enrollment and recruiting students is critical to the success of any university. However, despite having an abundance of data and researchers at the forefront of data science, traditional universities are not fully leveraging machine learning and data mining approaches to improve their enrollment management…

Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…

This study examines the effectiveness of implementing a chatbot solution to supplement existing student support or service models on campus, specifically for transfer students. Chatbots, an artificial intelligence solution meant to mimic human conversation and personality, have been viewed as a viable option for supporting transfer students…

Quality induction programming for novice principals should promote experiences that build self-efficacy (Tschannen-Moran & Gareis, 2007). Critical induction experiences are necessary to prepare school leaders for the increasing demands of the role. In the ever-changing world of public education, the importance of high-impact experiences for…

This book provides strategies, tools, and best practices for incorporating microlearning in English language teaching. It aims to help teachers create and deliver microlearning mechanisms that are optimized for mobile learning. This book also draws on relevant literature and the author's first-hand experience designing microlearning activities for…

In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design and which is based on the explainable k-nearest neighbor algorithm,…

There were two projects at the National Defence University of Finland (NDU), which both ended by the end of 2022. One of them tried to find the answers to the main question: How artificial intelligence (AI) could be used to improve learning, teaching, and planning? The other tried to find the answer to the main question: What new skills do…

With the approach of constant changes and quality assurance in education, we have reached an optimum that no longer justifies all further investments in such changes, as the results of these investments are (and will be) minimal and insufficient. We have reached a stage where we must shift from evolution to revolution, from constant changes in…

Here, we describe the development and validation of an automatic assessment system that examines students' hand-drawn visual representations in free-response items. The data were collected from 1,028 students in the second through 11th grades in South Korea using two items from the Test About Particles in a Gas questionnaire (Novick &…

Artificial Intelligence (AI) is revolutionizing many industries and becoming increasingly ubiquitous in everyday life. To empower children growing up with AI to navigate society's evolving sociotechnical context, we developed three middle school AI literacy curricula: "Creative AI,| "Dancing with AI," and "How to Train Your…

Home BAME students are under-represented on postgraduate courses in England, especially at elite universities, however, there has been little research on why this should be. This research starts to fill this gap, arguing that gatekeepers to postgraduate courses at some of the most elite universities contribute to maintaining white supremacy.…

The Fourth Industrial Revolution (4IR) has been the subject of discussion, and in most cases, it has been seen as a threat to jobs and conventional methods of performing certain activities. As a result, concerns over the preparation of the South African educational systems for the 4IR have been raised. Many industries still lack an advanced…

Our aspirations for gifted learners in talent development programs need to go beyond the development of expertise, creative productivity, and eminence. It is argued that wisdom development should be the ultimate goal of educating gifted learners. It is not merely what talents gifted learners develop, but how they use these talents, which will…

Purpose: We aim to identify the most accurate model for predicting adolescent (Grade 9) reading difficulties (RD) in reading fluency and reading comprehension using 17 kindergarten-age variables. Three models (neural networks, linear, and mixture) were compared based on their accuracy in predicting RD. We also examined whether the same or a…