ChatGPT is a newly emerging artificial intelligence (AI) tool that can generate and assess written text. In this study, we aim to examine the extent to which it can correctly identify the structure of literature review sections in engineering research articles. For this purpose, we conducted a manual content analysis by classifying paragraphs of…

The paper focuses on the topic of e-tutoring within the context of Higher Education. The research target is a framework for e-tutor role and skills in a higher education environment. The research began with a systematic review of the scientific literature with the aim of having a vision on the scientific landscape about the approach of…

This research is part of the Artificial Intelligence Virtual Trainer (AI-VT) project which aims to create a system that can identify the user's skills from a text by means of machine learning. AI-VT is a case-based reasoning learning support system can generate customized exercise lists that are specially adapted to user needs. To attain this…

This study explored the perceived gains of postsecondary peer educators, specifically related to their views of learning, feelings of connection to campus, and feelings of fulfillment as a result of their roles. The peer educator in the campus learning center is a critical but undervalued resource for student success. This is reflected in the…

This dissertation investigates the experiences of multilingual writers in a writing center at a major research university based in the United States. It includes interviews with the writers and with the tutors who serve multilingual writers, to understand if these writers are getting what they need in the writing center to be successful in their…

The COVID-19 pandemic has accelerated the transformation of education forms, and the combination of online and offline teaching has become the core development direction of university teaching at present and in the future. Therefore, appropriate teaching space is urgently needed to support the practice of blended teaching. Firstly, this paper…

Large Language Models have recently achieved high performance on many writing tasks. In a recent study, math word problems in Carnegie Learning's MATHia adaptive learning software were rewritten by human authors to improve their clarity and specificity. The randomized experiment found that emerging readers who received the rewritten word problems…

Increasing use of intelligent tutoring systems in education calls for analytic methods that can unravel students' learning behaviors. In this study, we explore a latent variable modeling approach for tracking learning flow during computer-interactive artificial tutoring. The study considers three models that give discrete profiles of a latent…

Bayesian Knowledge Tracing (BKT) is a well-established model for formative assessment, with optimization typically using expectation maximization, conjugate gradient descent, or brute force search. However, one of the flaws of existing optimization techniques for BKT models is convergence to undesirable local minima that negatively impact…

Teachers need technological pedagogical content knowledge (TPACK) for teaching with technology, and its assessment is crucial for research and practice. Previous literature reviews on TPACK assessment were not specific to a content area (e.g., mathematics), although, by definition, the TPACK framework includes content-specific knowledge facets.…

With the application of virtual venues in the field of education, numerous educational empirical studies have examined the impact of deep learning in the learning environment of virtual venues, but the conclusions are not always in agreement. The present study adopted the meta-analysis method and RStudio software to test the overall effect of 45…

The robust body of literature on the benefits of tutoring services clearly indicates a strong correlation between tutoring and student success. The students who most need tutoring, however, are least likely to utilize it. Because of this challenge, a writing center serving a medium-sized Midwestern community college explored how implementing…

This meta-analysis investigated the effects of peer tutoring interventions on the academic achievement of Emergent Bilingual (EB) students from preschool through Grade 12. Fourteen studies, including peer-reviewed journal articles and unpublished dissertations published between 2010 and 2021, were analyzed based on study characteristics, student…

Two metacognitive knowledge types in deductive domains are procedural and conditional. This work presents a preliminary study on the impact of metacognitive knowledge and motivation on transfer across two Intelligent Tutoring Systems (ITSs), then two experiments on metacognitive knowledge instruction. Throughout this work, we trained students on a…

The most critical parameter of audio and video information output is the playback speed, which affects many viewing or listening metrics, including when learning using tutoring systems. However, the availability of quantitative models for personalized playback speed control considering the learner's personal traits is still an open question. The…