A Study on Learning Interests of Algorithms and Data Structures
نویسندگان
چکیده
This paper presents a linear structural equation model in analyzing the influencing factors on learning interest in the course “Algorithms and Data Structures” in computer science. Our results show that the main factors impacted on learning interest of the students are students’ specialized basis and teachers’ teaching strategies. Another innovation closely related to this teaching reform is a comprehensive scientific evaluation of teaching methods for this complex teaching process. This evaluation method will evaluate the whole process of teaching by a dynamic multi-factor evaluation. It will effectively promote the teaching level continues to increase.
منابع مشابه
OPTIMAL SIZE AND GEOMETRY DESIGN OF TRUSS STRUCTURES UTILIZING SEVEN META-HEURISTIC ALGORITHMS: A COMPARATIVE STUDY
Meta-heuristic algorithms are applied in optimization problems in a variety of fields, including engineering, economics, and computer science. In this paper, seven population-based meta-heuristic algorithms are employed for size and geometry optimization of truss structures. These algorithms consist of the Artificial Bee Colony algorithm, Cyclical Parthenogenesis Algorithm, Cuckoo Search algori...
متن کاملA Discrete Hybrid Teaching-Learning-Based Optimization algorithm for optimization of space trusses
In this study, to enhance the optimization process, especially in the structural engineering field two well-known algorithms are merged together in order to achieve an improved hybrid algorithm. These two algorithms are Teaching-Learning Based Optimization (TLBO) and Harmony Search (HS) which have been used by most researchers in varied fields of science. The hybridized algorithm is called A Di...
متن کاملیادگیری نیمه نظارتی کرنل مرکب با استفاده از تکنیکهای یادگیری معیار فاصله
Distance metric has a key role in many machine learning and computer vision algorithms so that choosing an appropriate distance metric has a direct effect on the performance of such algorithms. Recently, distance metric learning using labeled data or other available supervisory information has become a very active research area in machine learning applications. Studies in this area have shown t...
متن کاملA COMPARATIVE STUDY FOR THE OPTIMAL DESIGN OF STEEL STRUCTURES USING CSS AND ACSS ALGORITHMS
In this article, an Advanced Charged System Search (ACSS) algorithm is applied for the optimum design of steel structures. ACSS uses the idea of Opposition-based Learning and Levy flight to enhance the optimization abilities of the standard CSS. It also utilizes the information of the position of each charged particle in the subsequent search process to increase the convergence speed. The objec...
متن کاملTrust Classification in Social Networks Using Combined Machine Learning Algorithms and Fuzzy Logic
Social networks have become the main infrastructure of today’s daily activities of people during the last decade. In these networks, users interact with each other, share their interests on resources and present their opinions about these resources or spread their information. Since each user has a limited knowledge of other users and most of them are anonymous, the trust factor plays an import...
متن کاملSIZE AND GEOMETRY OPTIMIZATION OF TRUSSES USING TEACHING-LEARNING-BASED OPTIMIZATION
A novel optimization algorithm named teaching-learning-based optimization (TLBO) algorithm and its implementation procedure were presented in this paper. TLBO is a meta-heuristic method, which simulates the phenomenon in classes. TLBO has two phases: teacher phase and learner phase. Students learn from teachers in teacher phases and obtain knowledge by mutual learning in learner phase. The suit...
متن کامل