Artificial intelligence (AI) will be in the future lives of children at school today. Voice-activated intelligent personal assistant devices are used in the home and could be useful in the classroom. This article explores how two groups of New Zealand children aged 7-12 engaged with Google Home devices in their classroom. Interactions recorded…

This research suggests a methodology to examine the effectiveness Artificial Intelligence (AI) on the cognitive abilities of college students so that future researchers can utilize this experimental project to focus on how AI-powered Intelligent Tutoring Systems (ITSs) affect learning outcomes. As AI continues to revolutionize all walks of life,…

The purpose of this randomized control trial (RCT) was to examine the impact of one-to-one high-dosage tutoring on reading achievement of kindergarten and first grade students, many at risk of reading failure. This nearly two-year study collected reading assessment data from 185 students, from across 13 classrooms, randomly assigned to either the…

As a major shift in education technologies, Adaptive Learning Systems (ALS) use artificial intelligence and similar technologies, adapting the lessons to the needs of individual students. Emphasizing transformative pedagogy and teaching strategies that transform the learners' cognitive and interactive patterns, this study presents a comprehensive…

The Expert-based Collective Advising Mechanism (ECAM) was embedded in the open online tutoring project to provide free tutoring for rural students and to help them improve their academic performance, and thus, to solve education inequity. Taking urban and rural students in Tongzhou District of Beijing as the objects, this study gathered data on…

This brief presents the results of a fiscal analysis of the Iowa Education Savings Account Program. The Iowa Education Savings Account Program offers eligible parents the opportunity to receive their children's per-pupil state funding directly into a parent-controlled education savings account (ESA), a fund earmarked for educational expenses. This…

This dissertation comprises work developing and leveraging technology as a means to aid student learning as well as to provide access to course-specific information. As technology continues to advance, tools are being developed and adopted by instructors to help fill gaps in previous systems and further extend their usefulness in the classroom.…

This quantitative study intended to assess the overall effectiveness of online student services at Northern Kentucky University as perceived by students in the online accelerated RN-BSN program. The awareness, ease of access, utilization, and perceived value of academic advising, tutoring, and technological (IT) services were specifically…

Students in the 3rd and 4th grade often encounter what has been called a reading "slump" when their class curriculums increasingly ask them to comprehend and learn from texts. Students are more likely to struggle if they have not been offered sufficient opportunities to build world and domain knowledge and engage in challenging…

Dayra Fallad Mendoza and Elizabeth Kerl's article, "Student Perceived Benefits of Embedded Online Peer Tutors," (EJ1317160) from the Spring 2021 issue, presents findings from a two-semester study of an embedded tutor program that took place during the COVID-19 crisis as the world went remote. The study aimed to determine whether students…

This study explores the discursive practices the researcher utilizes during recurring asynchronous writing consultations to engender mutually adjusted and context-driven interactions meaningful to writers' development during virtual tutoring. While earlier studies have critiqued asynchronous tutoring for its inability to efficiently promote the…

Budget constraints and limited supplies of local tutors have caused many K-12 school districts to pivot from individual tutoring in-person toward small-group tutoring online to expand access to personalized instruction. We conduct a field experiment to explore the effect of increasing student-tutor ratios on middle school students' math…

Knowledge tracing (KT) is an intelligent educational technology used to model students' learning progress and mastery in adaptive learning environments for personalized education. Despite utilizing deep learning models in KT, current approaches often oversimplify students' exercise records into knowledge sequences, which fail to explore the rich…

Knowledge tracing (KT) aims to model a learner's knowledge mastery level through his historical exercise records to predict future learning performance. Using this technology, learners can get appropriate customized exercises based on their current knowledge states, and thus the great potential of personalized teaching services such as intelligent…

One of the keys to the success of collaborative learning is balanced participation by all learners, but this does not always happen naturally. Pedagogical robots have the potential to facilitate balance. However, it remains unclear what participation balance robots should aim at; various metrics have been proposed, but it is still an open question…