With the increasing use of Artificial Intelligence (AI) technologies in education, the number of published studies in the field has increased. However, no large-scale reviews have been conducted to comprehensively investigate the various aspects of this field. Based on 4,519 publications from 2000 to 2019, we attempt to fill this gap and identify…

This paper presents the ontological design and implementation of the differentiated learning environment in the domain model of an intelligent tutoring system for children with specific learning disabilities. It addresses the learners need for differentiated instruction in a preferential learning environment. The proposed model helps to identify…

With changes to placement testing and many students being able to self-place into college-level courses, first-year community college students are often entering English composition classes without a strong academic skillset. Tutoring can be a way to support students, but many do not attend tutoring. At a rural community college, students in two…

Foreign language teaching achieves best learning outcomes when individual differences of learners are taken into account. While it is difficult for teachers to support internal differentiation in the classroom, digital tools can adaptively propose individual learning paths through activities so that students can practice with appropriately…

Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that…

Does a student's high school grade point average (HSGPA) of 2.5 or greater determine or predict a successful post-secondary enrollment? For this research, historical data from the 2015-2021 cohorts of Upward Bound Catonsville (UBC) scholars were retrieved from the UBC Community College of Baltimore County (CCBC) Blumen Database report. To ensure…

Since the 1960s, researchers have been trying to optimize the sequencing of instructional activities using the tools of reinforcement learning (RL) and sequential decision making under uncertainty. Many researchers have realized that reinforcement learning provides a natural framework for optimal instructional sequencing given a particular model…

This article presents an analysis of statements from Indigenous students in an Australian university that describe how they use supplementary tutors. The analysis provides some evidence that students use tutors for much more than the prescribed remedial purpose to assist with gaps in assumed academic knowledge and skills to prevent subject…

This study aims to investigate the properties of peer tutoring of first year engineering students on a Calculus-I course. Five dyads are constructed with different properties, and eight volunteer students. The students met regularly and studied calculus together for two months in technology-rich classrooms. To identify the properties and structure…

The goal of this study was to use eye-tracking and log-file data to investigate the impact of prior knowledge on college students' (N = 194, with a subset of n = 30 for eye tracking and sequence mining analyses) fixations on (i.e., looking at) self-regulated learning-related areas of interest (i.e., specific locations on the interface) and on the…

As part of a wider study into perceptions that different university stakeholders have of tutorials, we investigated the UK Open University model for tuition through a process of semi-structured interviews with a self-selecting set of STEM tutors. The aim of the study was to elucidate perceptions that tutors have of the role and purpose of…

This qualitative case study explores the processes that occurred when pre-service teachers in an undergraduate elementary education literacy methods course were asked to interact with contextually challenging texts in a comprehension module and implement comprehension instruction in a tutoring field experience placement. The goal was to understand…

Conversational Intelligent Tutoring Systems (ITSs) are expensive to develop. While simple online courseware could be easily authored by teachers, the authoring of conversational ITSs usually involves a team of experts with different expertise, including domain experts, linguists, instruction designers, programmers, artists, computer scientists,…

"Wheel spinning" is the phenomenon in which a student fails to master a Knowledge Component (KC), despite significant practice. Ideally, an intelligent tutoring system would detect this phenomenon early, so that the system or a teacher could try alternative instructional strategies. Prior work has put forward several criteria for wheel…

We provide evidence from a randomized controlled trial on the effectiveness of a novel, 100-percent online math tutoring program, targeted at secondary school students from highly disadvantaged neighborhoods. The intensive, eight-week-long program was delivered by qualified math teachers in groups of two students during after-school hours. The…