Knowledge Tracing is the de-facto standard for inferring student knowledge from performance data. Unfortunately, it does not allow modeling the feature-rich data that is now possible to collect in modern digital learning environments. Because of this, many ad hoc Knowledge Tracing variants have been proposed to model a specific feature of interest. For example, variants have studied the effect ...

To identify the indices of competency for student-teachers in Physical Education and factors that influence them, 22 expert were interviewed and 324 student-teachers from all over the country were given a questionnaire. Data analyses revealed that competency has four sets of indices in the areas of subjective-educational, educational, subjective, and general. Factors affecting these competencie...

This paper investigates the impacts of teacher characteristics on student performance using a nationally representative and randomly assigned teacher-student sample in China. We find that having more experienced or female homeroom (HRT) with additional classroom management duties significantly improves students' test scores cognitive noncognitive abilities. In contrast, these effects are not ob...

In this paper one solution for teaching skills to construct the control object frequency characteristics method is described. Student’s mistakes are discovered and classified. Based on signal-parametric approach to fault diagnosis in dynamic systems mathematical diagnostic models which allow detecting mistake classes by comparing student calculated results and system calculated results are crea...

This paper focuses on the analysis and prediction of student disengagement and uncertainty, using a corpus of dialogues collected with a spoken tutorial dialogue system in the STEM domain of qualitative physics. We first compare and contrast the prosodic characteristics of dialogue turns exhibiting disengagement or not, and those exhibiting uncertainty or not. We then compare the utility of usi...

INTRODUCTION We examined school and student characteristics associated with screen-time sedentary behavior. METHODS We analyzed data collected from 2,449 students in grades 5 through 8 who attended 30 elementary schools in Ontario, Canada. We used multilevel logistic regression to examine the student- and school-level factors associated with moderate and high screen-time sedentary behavior. ...

Background & Aims of the Study : The effective clinical training is from essential and important parts of medical education. Survey theviewpoints of medical students in this area as the pivot of education can be an effective step in planning of clinical education program and effective and efficient evaluation of it. This study was conducted by the aim of determination of medical externs and int...