Student modeling is one of the most important processes in adaptive systems. Although learning is individual, a model can be created based on patterns in student behavior. Since a student model can be created for more than one student, the use of machine learning techniques in student modeling is increasing. Artificial neural networks (ANNs),…

Contribution: The authors present a methodology for assessing both novelty and systems thinking, as expressed in the same conceptual models constructed by graduate engineering students. Background: Companies worldwide seek employees with creativity and systems thinking, since solving design problems requires both skills. Novelty and usefulness are…

Purpose: Studies of human capital and economic growth were initially focused on labour and physical capital, but it was later recognised that factors such as education, health, and technology also affected this relationship. The present study aims to examine the effects of education, health, and innovation/technology, as the components of human…

In order to promote the use of increasingly available large-scale assessment data in education and expand the scope of analytic capabilities among applied researchers, this study provides step-by-step guidance, and practical examples of syntax and data analysis using Maples. Concise overview and key unique aspects of large-scale assessment data…

The purpose of this study was to develop an instructional design model for physical chemistry courses based on multiple representatives for chemistry education students in Indonesia. In this research, several types of development methods were adopted and conducted during the early stages of development. The Lee's approach was used as a…

The Karlson-Holm-Breen (KHB) method has rapidly become popular as a way of separating the impact of confounding from rescaling when comparing conditional and unconditional parameter estimates in nonlinear probability models such as the logit and probit. In this note, we show that the same estimates can be obtained in a somewhat different way to…

A basic mental model (BMM--in German 'Grundvorstellung') of a mathematical concept is a content-related interpretation that gives meaning to this concept. This paper defines normative and individual BMMs and concretizes them using the integral as an example. Four BMMs are developed about the concept of definite integral, sometimes used in specific…

Purpose: This research aims at investigating the increase in teaching and learning activities by using guided teaching model and what effect it makes on the achievement on learning outcomes. Guided teaching facilitates teaching and decision-making abilities of the students. Research Methodology: The study was carried out on a sample of 290…

Collaboration between school counselors and families has increasingly been identified as a benefit to student success and well-being. This expansion of roles is reflected within school counseling standards as families and parents comprise one-third of the types of collaboration promoted by the ASCA National Model. Further, ASCA's program…

This study aimed to analyze the effect of conventional, Problem-Based Learning (PBL), Numbered-Head Together (NHT), and integrated PBL-NHT learning models on the low- and high-ability students' critical thinking. This quasi-experimental study used a pretest-post-test nonequivalent control group design with a four-by-two factorial pattern. The…

Monte Carlo simulation is a useful tool for researchers to estimated accuracy of a statistical model. It is usually used for investigating parameter estimation procedure or violation of assumption for some given conditions. To run a simulation either the paid software or open source but free program such as R is need to be used. For that,…

The internal/external frame of reference (I/E) model describes the formation of students' math and verbal self-concepts by the joint effects of social comparisons (where students compare their subject-specific achievements with those of their classmates) and dimensional comparisons (where students compare their math and verbal achievements with…

Contribution: This article explores how the Industrial Internet of Things (IIoT) could be leveraged to enhance the teaching/learning experience of advanced control techniques [e.g., model-predictive control (MPC)] for complex systems (nonlinear and multivariable) for undergraduate students. Background: The IIoTs' features, such as ubiquitous…

Students generate internal feedback by comparing their current knowledge against some reference information. That information might be planned for by teachers -- usually as comments on students' performance -- although most information is accessed by students themselves during task engagement, from their interactions with others, with resources…

The use and interpretation of educational and psychological test scores are paramount to individual outcomes and opportunities. Methods for detecting differential item functioning (DIF) are imperative for item analysis when developing and revising assessments, particularly as it pertains to fairness across populations, languages, and cultures. We…