Considerable amount of research in educational data mining has focused on developing efficient algorithms for Knowledge Tracing (KT). However, in practice, many real-world learning systems used at scale struggle to implement KT capabilities, especially if they weren't originally designed for it. One key challenge is to accurately label existing…

This study examined the types of mathematical connections established by four secondary school students while constructing concept maps on transformations of the parabola. The use of concepts maps revealed students' understandings--including some misconceptions--of transformations of the parabola and confirmed the usefulness of a model for…

Drawing on a concept-map methodology, we investigated how 18 prospective elementary teachers (PSTs) conceptualize STEM thinking as habits of mind shared across STEM domains in the context of problem-solving prior to explicit classroom discussions about STEM thinking. A 28-question, 5-point Likert-scale survey was used to explore PSTs' orientations…

The Jeong (2020) study found that greater use of backward and depth-first processing was associated with higher scores on students' argument maps and that analysis of only the first five nodes students placed in their maps predicted map scores. This study utilized the jMAP tool and algorithms developed in the Jeong (2020) study to determine if the…

Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…

The automatic code generation is the process of generating source code snippets from a program, i.e., code for generating code. Its importance lies in facilitating software development, particularly important is helping in the implementation of software designs such as engineering diagrams, in such a case, automatic code generation copes with the…

This study aimed to cluster learners based on the structures of the knowledge maps they created. Learners drew their own knowledge maps to reflect their learning activities. Our system collected individual knowledge maps from many learners and clustered them to generate an integrated version of the knowledge maps of each cluster. We applied the…

Like many higher education institutions, amplifying experiential learning (EL) is a priority for the University of Calgary. In order to capture the extent and complexity of EL that exists in an institution, it is crucial to have a common understanding of the concept. In 2018, the University of Calgary created the EL Working Group, tasked with…

Concept mapping is a practical approach to meaningful learning, and emotion is one of the most important factors that affect students' learning. However, few studies have focused on learners' emotions of concept mapping. This research aims to develop and verify a CM-ES and to investigate university students' emotions of concept mapping with the…

In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…

Argument mapping (AM) is the activity of plotting a diagram representing the logical connections between evidence and the claims it supports, with boxes connected by lines. AM can massively benefit students and their communities. Not only is it about twice as effective at improving student critical thinking any other method and enhance student…

Wlodarsky and Walters' study explored the reflective practices of college faculty, as they defined reflection and discussed processes, which they used to facilitate reflection on their professional development. A qualitative coding strategy was used, then an analytic concept mapping procedure described by Novak and Gowen (1984) was employed.…

The evaluation of text complexity is an important topic in education. While this objective has been addressed by approaches using lexical and syntactic analysis for decades, semantic complexity is less common, and the recent research works that tackle this question rely on machine learning algorithms that are hardly explainable and are not…

The learning of Indonesian for foreign speakers (bahasa Indonesia untuk penutur asing/BIPA) develops very fast. One of them is the People's Republic of China (PRC). In line with this, the government of PRC shows a serious intention to learn Indonesian language by sending their students to learn the Indonesian language in Indonesia through BIPA…

The purpose of this study is to observe prospective teachers' cognitive structures related to Turkish World. In this scanning model study, WAT (Word Association Test) had been applied to 332 prospective teachers in Nigde Ömer Halisdemir University. And they were asked to write what comes into their heads when it is said Turkish Republics and…