An individual's learning is determined by cognition, motivation, and social context. Taking these aspects into account, we assessed scaffolding in tutoring situations via contingency to determine how successful and unsuccessful teacher-student interactions are shaped. We aimed to find out how the problem-solving process in successful tutoring…

As student populations are becoming more diverse in ability and ethnicity across American classrooms, teachers are faced with instructional challenges in meeting their students' learning needs. Challenges are heightened for general and special education teachers who teach students with learning disabilities (LD) and have a culturally and…

Background: Typical scaffolding coding schemes provide overall scores to compare across a sample. As such, insights into the scaffolding process can be obscured: the child's contribution to the learning; the particular skills being taught and learned; and the overall changes in amount of scaffolding over the course of the task. Aims: This study…

Providing students with one-on-one interaction with instructors is a big challenge in large courses. One solution is to have students interact with their peers during class. Reciprocal peer tutoring (RPT) is a more involved interaction that requires peers to alternate the roles of "teacher" and "student." Theoretically,…

Gaining the attention is the first key step to enhance learning. In Attention-Deficit/Hyperactivity Disorder (ADHD) as the most prevalent deficit in school age, the learners face some impairment in attention that requires appropriate intervention. An environment that embedded Pedagogical Agent in computer-assisted instruction (CAI) has been…

This research used a tutoring scenario to examine the spontaneous use of knowledge for teaching, which was measured from four perspectives: assessment, explanation, comprehension checking, and strategy instruction. The objective was: (1) to investigate whether student teachers could spontaneously utilise adequate knowledge for teaching, and (2) to…

Inclusive education requires restructuring educational provision so that mainstream schools are able to provide for the needs of all students in their communities. To help realise this goal, initial teacher education programmes need to better prepare new graduates for teaching students with complex special education needs, including students with…

The present study aims to empiricaly demonstrate the viability and benefits of an awareness-based approach to diversify knowledge between potential learning partners. Groups of four learners studied lesson material on biology. After a knowledge test, the groups were to form collaborative learning dyads. Based on the test, a novel knowledge…

A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. To do this, researchers must identify the learning patterns exhibited by those interacting with the system. In the present work, we use clustering analysis to capture learning patterns in over…

We developed a version of AutoTutor that helps struggling adult learners improve their comprehension strategies through conversational agents. We hypothesized that the accuracy and time to answer questions during the conversation could be diagnostic of their mastery of different reading comprehension components: words, textbase, situation model,…

The current study explored relations between non-cognitive traits (Grit, Learning Orientation, Performance Orientation), reading skill, and performance across three experiments conducted in the context of two intelligent tutoring systems, iSTART and Writing Pal. Results showed that learning outcomes (comprehension score, holistic essay score) were…

This study aims to identify a few perception-action relations or affordances enacted in an asymmetrical (tutor-tutee) videoconferencing environment for L2 learning. Following Engeström's (2014) Cultural Historical Activity Theory (CHAT) and an ecological Computer-Assisted Language Learning (CALL) perspective, the study focusses on the interactions…

In this work we use prior to tutor-session data to generate an individualized student knowledge model. Intelligent learning environments use student models to individualize curriculum sequencing and help messages. Researchers decompose the learning tasks into sets of Knowledge Components (KCs) that represent individual units of knowledge; the…

We describe and illustrate factors that specify what it means for a tutor to provide different "levels of support", based on our analyses of models of the levels of support provided during human tutoring and teacher-led small group work. We then show how we used these factors to implement contingent scaffolding in a tutorial dialogue…

Tutoring technologies for supporting learning from errors via negative feedback are highly developed and have proven their worth in empirical evaluations. However, observations of empirical tutoring dialogs highlight the importance of positive feedback in the practice of expert tutoring. We hypothesize that positive feedback works by reducing…