Researchers are trying to develop assessments for inquiry practices to elicit students' deep science learning, but few studies have examined the relationship between students' "doing," i.e. "performance assessment," and "writing," i.e. "open responses," during inquiry. Inquiry practices include generating…

In this paper, we investigate the relationship between students' learning gains and their compliance with prompts fostering self-regulated learning (SRL) during interaction with MetaTutor, a hypermedia-based intelligent tutoring systems (ITS). When possible, we evaluate compliance from student explicit answers on whether they want to follow the…

This study aimed at identifying the efficiency of peer teaching of developing non-verbal communication to children with autism spectrum disorder (ASD). The study was carried out on a sample of (10) children with autism spectrum disorder (ASD), diagnosed according to basics and criteria adopted at Al-taif qualification center at (2013) in The…

This paper focuses on the important roles of peer tutoring and peer tutoring services that utilize student tutors in higher education. First, the roles and potential benefits of peer tutoring are identified and reviewed as they apply to various dimensions of student development. Second, the impacts, benefits, and extended beneficiaries of peer…

This paper presents an ethnographic study of the out of school literacy practices of children living in residential care in Malaysia. Although residential homes generate much publicity, especially during the festive seasons, not much is known about the children living within the confines of these homes. Even more lacking is research on their…

To be able to provide better support for collaborative learning in Intelligent Tutoring Systems, it is important to understand how collaboration patterns change. Prior work has looked at the interdependencies between utterances and the change of dialogue over time, but it has not addressed how dialogue changes during a lesson, an analysis that…

We show that student learning can be accurately modeled using a mixture of learning curves, each of which specifies error probability as a function of time. This approach generalizes Knowledge Tracing [7], which can be viewed as a mixture model in which the learning curves are step functions. We show that this generality yields order-of-magnitude…

There is increasing evidence that fine-grained aspects of student performance and interaction within educational software are predictive of long-term learning. Machine learning models have been used to provide assessments of affect, behavior, and cognition based on analyses of system log data, estimating the probability of a student's particular…

Tutorial dialogue systems often simulate tactics used by experienced human tutors such as restating students' dialogue input. We investigated whether the amount of tutor restatement that supports student inference interacts with students' incoming knowledge level in predicting how much students learn from a system. We found that students with…

Although restating part of a student's correct response correlates with learning and various types of restatements have been incorporated into tutorial dialogue systems, this tactic has not been tested in isolation to determine if it causally contributes to learning. When we explored the effect of tutor restatements that support inference on…

The benefit of interleaving cognitive content has gained attention in recent years, specifically in mathematics education. The present study serves as a conceptual replication of previous work, documenting the interleaving effect within a middle school sample through brief homework assignments completed within ASSISTments, an adaptive tutoring…

Background: This study investigated learning outcomes and user perceptions from interactions with a hybrid intelligent tutoring system created by combining the AutoTutor conversational tutoring system with the Assessment and Learning in Knowledge Spaces (ALEKS) adaptive learning system for mathematics. This hybrid intelligent tutoring system (ITS)…

This report presents the SPARK literacy model, an innovative approach developed by Boys & Girls Clubs of Greater Milwaukee, for addressing the literacy needs of low-income and minority schools in Milwaukee. It also presents the results of a two-year randomized control trial evaluation of the SPARK literacy program's impact on reading…

This paper outlines the findings of a mixed-method study of private supplementary tutoring received by students at international schools offering the International Baccalaureate Diploma Programme (IBDP) in China. Phase One was an online survey of 151 IBDP graduates across 14 schools, while Phase Two included semi-structured interviews with school…

The current qualitative study addresses the growing concern in preservice teacher (PT) education that simply increasing the amount of field experiences in teacher preparation programs may just reinforce the status quo in teaching. The focus in this report is on how a series of literacy tutorials, designed as hybrid spaces for learning, provide…