Worked examples are effective learning tools for algebraic equation solving. However, they are typically presented in a static concise format, which only displays the major derivation steps in one static image. The current work explores how worked examples that vary in their extensiveness (i.e., detail) and degree of dynamic presentation (i.e.,…

Within intelligent tutoring systems, considerable research has investigated hints, including how to generate data-driven hints, what hint content to present, and when to provide hints for optimal learning outcomes. However, less attention has been paid to "how" hints are presented. In this paper, we propose a new hint delivery mechanism…

Massive open online courses (MOOCs) hold the promise of democratizing the learning process. However, providing effective feedback has proven hard to offer at scale since most methods require a teacher or tutor. Leveraging big data in MOOCs offers a mechanism to develop predictive models that can inform computer-based pedagogical tutors. We review…

Extensive literature in artificial intelligence in education focuses on developing automated methods for detecting cases in which students struggle to master content while working with educational software. Such cases have often been called "wheel-spinning," "unproductive persistence," or "unproductive struggle." We…

In interactive e-learning environments such as Intelligent Tutoring Systems, there are pedagogical decisions to make at two main levels of granularity: whole problems and single steps. Here, we focus on making the problem-level decisions of worked example (WE) vs. problem solving (PS) and the step-level decisions of elicit vs. tell. More…

The research aimed to: 1) develop the chatbot; 2) evaluate its effectiveness; and 3) investigate its effects on students' research knowledge. The sample consisted of 36 Thai university students. The research instruments consisted of: 1) the chatbot; 2) an evaluation form; 3) an effectiveness questionnaire; and 4) research tests. Data analysis used…

Methods: The Brandman University Strut Learning platform offers a set of analytics that can be utilized by Academic Coaches, Tutorial Faculty, and Administrators as student performance metrics. Reports summarizing that data have indicators for student progress in the program, competency, and learning activity level, as well as topics and subtopics…

The study explored the household education expenditures for higher education exam preparation in Turkey. The study employed the case study design, one of the qualitative research designs. The study group consisted of families whose children were preparing for the higher education exam. The families were living in the city of Zonguldak. While…

This research presents the results of development and validation of the Cyclical Self-Regulated Learning (SRL) Simulation Model, a model of student cognitive and metacognitive experiences learning mathematics within an intelligent tutoring system (ITS). Patterned after Zimmerman and Moylan's (2009) Cyclical SRL Model, the Simulation Model depicts…

General chemistry courses are key gateways for many Science, Technology, Engineering, and Mathematics (STEM) majors. Here, we report on the implementation and evaluation of an adaptive, ALEKS-based online preparatory module (PM) for general chemistry. The module was made available in Summer 2018 at no cost to all students entering any section of…

Personal tutorials are an essential feature of student support in British universities, and therefore they are duplicated on British overseas campuses. It appears that Chinese students are reluctant to seek help when they experience personal difficulties that affect their engagement with learning and their academic performance. Limited literature…

In general, private supplementary tutoring is considered an effective means of improving academic achievement by parents. However, previous studies have produced partial or inconclusive results regarding its effectiveness. Thus, the present study conducted a comprehensive analysis based on a specially designed longitudinal survey of private…

A simulator-based Intelligent Tutoring System (ITS) is a computer system that is made to provide students with a learning experience that is both customizable to a student's needs (e.g., level of expertise, pace) and includes simulation, e.g., demonstrate certain domain concepts or allow problem-solving while replicating a real-life situation.…

The COVID-19 pandemic has swiftly forced a change in learning strategies across educational institutions, from extensively relying on in-person activities toward online teaching. It is particularly difficult to adapt courses that depend on physical equipment to be now carried out remotely. This is the case for bioinformatics, which typically…

Bayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skills are independent of each other. However, in the process of student learning, they have a very close relation. A student may understand knowledge B better when…