In this paper, we present iSTART-Early, an intelligent tutoring system that provides automated instruction and practice on higher-order reading comprehension strategies to 3rd and 4th grade students. iSTART-Early provides personalized, interactive, game-based strategy instruction and practice on comprehension strategies (i.e., Ask It, Reword It,…

The efficacy of intelligent tutoring systems (ITS) for undergraduate college level courses was not well established and specifically, the Pearson Dynamic Study Modules (PDSM) program had not been investigated locally. The purpose of this quantitative study was to determine whether the use of an ITS designed with a cognitive learning approach; the…

Intelligent tutoring systems (ITSs) can provide inner loop feedback about steps within tasks, and outer loop feedback about performance on multiple tasks. While research typically addresses these feedback types separately, many ITSs offer them simultaneously. This study evaluates the effects of providing combined inner and outer loop feedback on…

The aim of this study was to predict university students' learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 students from different multimodal sources: learning strategies from system logs, emotions from videos of facial expressions,…

This study investigated how computer agents' language style affects summary writing in an Intelligent Tutoring System, called CSAL AutoTutor. Participants interacted with two computer agents in one of three language styles: (1) a "formal" language style, (2) an "informal" language style, and (3) a "mixed" language…

In the study, it is aimed to investigate the academic procrastination behaviors of teacher candidates in the management of personal learning environments within intelligent tutoring systems. In the study, which was structured in the phenomenological pattern, included in the qualitative research method, the participants were formed from 52 teacher…

We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…

Speaking in a second/foreign language, especially in English, is one of the most anxiety-provoking tasks for language learners. Anxiety provoked while speaking in a second language distresses the learners and further affects their oral proficiency in English. This article focuses on investigating the presence of anxiety among (n = 86) first-year…

The dissertation consists of three studies that are the process of designing, developing, and evaluating generative-AI-powered story-authoring platforms for children. The first study focuses on the formative study on how stakeholders in education (i.e., teachers, parents, and students) perceive and leverage generative AI platforms (i.e., ChatGPT…

This systematic literature review explores the implementation and effectiveness of active learning approaches in online training environments. The rapid growth of online education necessitates strategies that enhance learner engagement and improve educational outcomes. The review identifies various active learning techniques, such as discussions,…

This study examines the role of AI chatbots in simulating real-world teaching scenarios and developing core teaching competencies among pre-service teachers. Guided by the SAMR model, the research employed a single-case qualitative design involving eight Bachelor of Physical Education interns from a teacher education institution in the Eastern…

Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…

Background: Teaching Mandarin as a second language (L2) has become an important profession and an important research area. The acquisition of unaspirated and aspirated consonants in Mandarin has been reported to be rather challenging for L2 learners. Objectives: In the current study, a 3-D airflow model was integrated into the virtual talking head…

Due to the advances of artificial intelligence (AI) and natural language processing, new AI-powered writing tools have emerged. They can be used by students among other things for text translation, to improve spelling or to generate new texts. In academic writing, AI-powered writing tools are posing challenges but also opportunities for teaching…

The latest development of Generative Artificial Intelligence (GenAI), particularly ChatGPT, has drawn the attention of educational researchers and practitioners. We have witnessed many innovative uses of ChatGPT in STEM classrooms. However, studies regarding students' perceptions of ChatGPT as a virtual tutoring tool in STEM education are rare.…