Knowledge tracing aims to supervise students’ grasping of concepts, inferring their knowledge states, and predicting their future performance. Current research predominantly models knowledge states to represent the overall concept mastery of ...

• Extract conceptual states and derive state relationships.
• Construct mapping logic for knowledge states.
• Distinguish knowledge states in different learning scenarios.

Capture the Flag (CTF) competitions are popular in the cybersecurity field to train and evaluate the skills of students and professionals alike. Each CTF competition has a scoring system that is fundamental in evaluating a participant’s skills by ...

• Evaluate the impact of scoring algorithms on the outcomes of the two main CTF formats: Jeopardy and Attack-Defense.
• Identify the necessary requirements and properties of an ideal CTF scoring algorithm through a comprehensive process ...

Artificial intelligence (AI) has the power to revolutionize the field of education by enhancing teaching and learning experiences, improving student outcomes, and streamlining administrative tasks. The current study seeks to address the role of ...

Automated scoring of subjective assignments (ASSA), one of the most representative applications in the field of artificial intelligence in education, is the process of scoring and assessing essays with the aid of natural language processing ...

• Assignment scoring using human–machine collaboration can improve score prediction.
• Design human–machine task allocation model based on sequential three-way decisions.
• Develop human–machine scoring model by combining Bi-LSTM with TA-...

The successful instructional design of self and peer assessment in higher education poses several challenges that instructors need to be aware of. One of these is the influence of students’ personalities on their intention to adopt ...

• Effect of personality traits on the acceptance of peer assessment (PA) in students.

• A support to reduce effort of pedagogues in large-scale to evaluate novelty in mass examination.

An inherent criterion of evaluation in Design education is novelty. Novelty is a measure of newness in solutions which is evaluated based on relative comparison with its frame of reference. Evaluating novelty is subjective and ...

• Students understand Process Models in configurative patterns.
• A homogeneous ...

Process Models (PM) are visual documentations of the business processes within or across enterprises. Activities (tasks) are arranged together into a model (i.e., similar to flowcharts). This study aimed at understanding the underlying ...

Using competitions to motivate students is a well-known practice that has proved to be successful. Nevertheless, grading students only through their results in the competition could unfairly limit the range of grades that each student can get: ...

The purpose of this study is to design a personalized adaptive and intelligent web based tutoring system based on learning style and expert system named UZWEBMAT and to evaluate its effects on 10th grade students' learning of the unit of probability. In ...

ISCARE (Information System for Competition based on pRoblem solving in Education) is a new and innovative intelligent tutoring system that we have designed and implemented. This tool allows the competition among students for improving their learning ...

This paper presents the design, implementation, and evaluation of a student model in DEPTHS (Design Pattern Teaching Help System), an intelligent tutoring system for learning software design patterns. There are many approaches and technologies for ...

Research highlights We review student modeling techniques. We introduce a web-based self-assessment system. We introduce a novel spectrogram-like student knowledge model. We test students' learning preferences. Detecting weaknesses in students' ...

The purpose of this paper is to propose an adaptive system analysis for optimizing learning sequences. The analysis employs a decision tree algorithm, based on students' profiles, to discover the most adaptive learning sequences for a particular ...

Researchers in the area of educational software have always shown great interest in the automatic synthesis of learning curricula. During the recent years, with the extensive use of metadata and the emergence of the Semantic Web, this vision is ...

With the rapid growth of computer and Internet technologies, e-learning has become a major trend in the computer assisted teaching and learning fields. Most past researches for web-based learning focused on the issues of adaptive presentation, adaptive ...