This pilot study evaluated the student user experience of a performance indicator tool (PIT) for formative assessment of a cohort of fourth year medical undergraduates undertaking a 12 week rotation. Scoping and elaboration for the standalone web-based tool was based on the existing paper-based formative assessment system for which training and…

Question generation is an emerging research area of artificial intelligence in education. Question authoring tools are important in educational technologies, e.g., intelligent tutoring systems, as well as in dialogue systems. Approaches to generate factual questions, i.e., questions that have concrete answers, mainly make use of the syntactical…

Corrective feedback (CF), a response to linguistic errors made by second language (L2) learners, has received extensive scholarly attention in second language acquisition. While much of the previous research in the field has focused on whether CF facilitates or impedes L2 development, few studies have examined the efficacy of gradually modifying…

This paper addresses the theme of social inclusion through language learning. The focus is on an ad-hoc tutoring scheme set up between newly arrived British migrant pupils and French monolingual pupils in a small secondary school in the south-west of France. Though the original objective of this tutoring scheme was to improve the English skills of…

In this article we summarize our research into literacy preservice teacher preparation. We situate our research on tutorials in the practice turn in teacher preparation. We describe the evolution of our work drawing on findings from seven different studies with the goal of identifying the design features of tutorial experiences that promote…

Private supplementary tutoring became a widespread phenomenon in Japan during the 1960s. Since then, institutions providing tutoring known as "juku" have provided a wide range of services to supplement mainstream education. During decades of development, the shapes and functions of "juku" have changed in response to changes in…

This article describes several approaches to assessing student understanding using written explanations that students generate as part of a multiple-document inquiry activity on a scientific topic (global warming). The current work attempts to capture the causal structure of student explanations as a way to detect the quality of the students'…

This paper aims to describe a computer-assisted English learning system using chatbots and dialogue systems, which allow free conversation outside the topic without limiting the learner's flow of conversation. The evaluation was conducted by 20 experimenters. The performance of the system based on a free conversation by topic was measured by the…

Students learn or progress at their own paces. How can schools make sure that they get the help they need--and only the help they need? Many are turning to multi-tiered systems of support. This brief provides some practical considerations for schools contemplating tiered approaches.

In Experiment 1, I conducted a functional analysis of student rate of learning with and without a peer-yoked contingency for 12 students in Kindergarten through 2nd grade in order to determine if they had conditioned reinforcement for collaboration. Using an ABAB reversal design, I compared rate of learning as measured by learn units to criterion…

This paper introduces StairStepper, a new addition to Interactive Strategy Training for Active Reading and Thinking (iSTART), an intelligent tutoring system (ITS) that provides adaptive self-explanation training and practice. Whereas iSTART focuses on improving comprehension at levels geared toward answering challenging questions associated with…

After developing an intelligent tutoring system (ITS), or any other class of learning environments, one of the first questions that should be asked is whether the system was effective in helping students learn the targeted skills or subject matter. In this study, we employed two educational data mining models (Additive Factor Model, AFM and…

Background/Context: Large-scale randomized controlled experiments conducted in authentic learning environments are commonly high stakes, carrying extensive costs and requiring lengthy commitments for all-or-nothing results amidst many potential obstacles. Educational technologies harbor an untapped potential to provide researchers with access to…

In working towards unraveling the mechanisms of productive collaborative learning, dual eye tracking is a potentially helpful methodology. Dual eye tracking is a method where eye-tracking data from people working on a task are analyzed jointly, for example to extract measures of joint visual attention. We explore how eye gaze relates to effective…

Classroom experiments that evaluate the effectiveness of educational technologies do not typically examine the effects of classroom contextual variables (e.g., out-of-software help-giving and external distractions). Yet these variables may influence students' instructional outcomes. In this paper, we introduce the Spatial Classroom Log Explorer…