This paper proposes a methodology for authoring of intelligent tutoring systems using human computation. The methodology embeds authoring tasks in existing educational tasks to avoid the need for monetary authoring incentives. Because not all educational tasks are equally motivating, there is a tension between designing the human computation task…

Many problems related to synthesis with intelligent tutoring may be phrased as program synthesis problems using AI-style search and formal reasoning techniques. The _x000C_first two results in this dissertation focus on problem synthesis as an aspect of intelligent tutoring systems applied to STEM-based education frameworks, specifically high…

Intelligent tutors based on expert systems often struggle to provide formative feedback on complex, ill-defined problems where answers are unknown. Hybrid crowdsourcing systems that combine the intelligence of multiple novices in face-to-face settings might provide an alternate approach for providing intelligent formative feedback. The purpose of…

A detailed study of learning and teaching (L&T) of chemical engineering distillation to a mixed-ability small class of 13 students who are ordinarily full-time in-house employees in industry is reported. The course consisted of 9 × 2-h lectures (18 hours) and 9 × 2-h tutorials (18 hours). It was delivered over nine business days "in…

Attaining successful outcomes on the SAT can have profound educational and financial consequences for college-bound students. Using archival data from a private tutoring centre, we investigated variables we hypothesised to contribute to SAT score increases. Our analyses revealed significant effects of time on task and rate of SAT homework…

This ethnographical study aims to interpret how an intelligent tutorial system, geogebraTUTOR, mediates to the student's argumentative processes. Data consisted of four geometrical problems proposed to a group of four students aged 16-17. Qualitative analysis of two selected cases led to the identification of the development of argumentative…

We show how the novel use of a semantic representation based on Osgood's semantic differential scales can lead to effective features in predicting short- and long-term learning in students using a vocabulary learning system. Previous studies in students' intermediate knowledge states during vocabulary acquisition did not provide much information…

The future of education is human expertise and artificial intelligence working in conjunction, a revolution that will change the education as we know it. The Intelligent Tutoring System is a key component of this future. A quantitative measurement of efficacies of practice to heterogeneous learners is the cornerstone of building an effective…

This quantitative research study analyzed archival data to determine if there was a significant difference in promotion rates from third to fourth grade between students in foster care who received one-to-one tutoring and those students in foster care who did not receive one-to-one tutoring over two school years. This study also analyzed student…

The current study introduces a model for measuring student diligence using online behaviors during intelligent tutoring system use. This model is validated using a full academic year dataset to test its predictive validity against long-term academic outcomes including end-of-year grades and total work completed by the end of the year. The model is…

Peer tutoring is an effective method of improving undergraduate students' academic performance, especially for those at-risk for poor grades. Peer tutoring has seldom been explored in undergraduate statistics, a difficult but required course for many college majors. The current study investigated the benefits of peer tutoring for 180…

This article focuses on a major reform goal to advance a student-centric education in South Korea and the associated issues and challenges. This research study draws upon Wittgenstein's concept of world-picture that brings to the fore the cultural influences on policy enactment. Interview data with teachers and students in Korea revealed two main…

Community colleges have made great strides in advancing student success and completion during the last decade. But not all students have benefited from these efforts equally. According to the Lumina Foundation, the postsecondary attainment rate for adults in the United States is around 40 percent. Yet, there are still large gaps in attainment…

Learning and cognitive ability are necessarily connected. Learning occurs when people engage in a series of cognitive processes. In this study, we examined how English as a foreign language (EFL) learners' cognitive abilities diffuse (i.e., change) effectively from a basic level (i.e., Remember, Understand) to a more advanced level (i.e., Apply)…

Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…