In this paper we show how model identifiability is an issue for student modeling: observed student performance corresponds to an infinite family of possible model parameter estimates, all of which make identical predictions about student performance. However, these parameter estimates make different claims, some of which are clearly incorrect, about the student’s unobservable internal knowledge...

The current paradigm in student modeling has continued to show the power of its simplifying assumption of knowledge as a binary and monotonically increasing construct, the value of which directly causes the outcome of student answers to questions. Recent efforts have focused on optimizing the prediction accuracy of responses to questions using student models. Incorporating individual student pa...

The current paradigm in student modeling, Knowledge Tracing, has continued to show the power of its simplifying assumption of knowledge as a binary and monotonically increasing construct, the value of which directly causes the outcome of student answers to questions. Recent efforts have focused on optimizing the prediction accuracy of responses to questions using student models. Incorporating i...

The importance of accurate estimation of student’s future performance is essential in order to provide the student with adequate assistance in the learning process. To this end, this research aimed at investigating the use of Bayesian networks for predicting performance of a student, based on values of some identified attributes. We presented empirical experiments on the prediction of performan...

Higgins-Opitz SB, Tufts M. Active physiology learning in a diverse class: an analysis of medical student responses in terms of sex, home language, and self-reported test performance. Adv Physiol Educ 36: 116–124, 2012; doi:10.1152/advan.00132.2010.—The student body at the Nelson R. Mandela School of Medicine (NRMSM) is very diverse, representing many cultures, religions, and languages. Research...

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...

Cloud technology can make the learning process easy and done anywhere. However, in its use, some students feel anxious prefer using offline software. This research targets Indonesia who study cloud accounting computer courses introductory accounting. Researchers used census method to get respondents, so a sample of 131 respondents was obtained. The incoming data is then tested for validity reli...

This study uses a quasi-experimental design to assess differences in student performance and satisfaction across online and face-to-face (F2F) classroom settings. Data were collected from 368 students enrolled in three online and three F2F sections of an introductory-level sociology course. The instructor, course materials, and assessments were consistent between the two delivery formats. The i...

With the wide use of the Internet and digital data sources, there has been a recent emergence of easy access to student data within learning management systems (LMS), grade data through student information systems (SIS) and broader sector data through benchmarking metrics and standards. Learning analytics on top of this data has introduced greater capabilities for improving student performance ...