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Cai, Zhiqiang; Marquart, Cody; Shaffer, David W. – International Educational Data Mining Society, 2022
Regular expression (regex) coding has advantages for text analysis. Humans are often able to quickly construct intelligible coding rules with high precision. That is, researchers can identify words and word patterns that correctly classify examples of a particular concept. And, it is often easy to identify false positives and improve the regex…
Descriptors: Coding, Classification, Artificial Intelligence, Engineering Education
Asaad Almssad; Amjad Almusaed; Ghaniyah Yasir Gbashi – International Society for Technology, Education, and Science, 2024
This article elucidates a nuanced methodology to embed the Sustainable Development Goals (SDGs) within engineering curricula, grounded in the tenets of the CDIO Standard 3 framework. Given the heightened emphasis on sustainability within contemporary industrial contexts, there is an imperative demand for engineers endowed with sophisticated…
Descriptors: Engineering Education, Sustainable Development, Objectives, Teaching Methods
Christine M. Cunningham; Gregory J. Kelly; Ashwin Mohan – Journal of Pre-College Engineering Education Research, 2023
Socially engaged engineering provides for student learning of the design, analysis, and practices of engineering as well as the ways that engineering is situated in sociocultural contexts. This paper provides a conceptual framework regarding socially engaged engineering for K-8 educators, researchers, and curriculum designers. The framework…
Descriptors: Elementary School Teachers, Middle School Teachers, Engineering Education, Social Justice
Andrea Domínguez-Lara; Wulfrano Arturo Luna-Ramírez – International Association for Development of the Information Society, 2022
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…
Descriptors: Programming, Coding, Computer Software, Programming Languages
Jia, Qinjin; Cui, Jialin; Xiao, Yunkai; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2021
Peer assessment has been widely applied across diverse academic fields over the last few decades, and has demonstrated its effectiveness. However, the advantages of peer assessment can only be achieved with high-quality peer reviews. Previous studies have found that high-quality review comments usually comprise several features (e.g., contain…
Descriptors: Peer Evaluation, Models, Artificial Intelligence, Evaluation Methods
Li, Ni; Warter-Perez, Nancy; Shen, He – Grantee Submission, 2019
Homework is considered as a substantial process of learning especially for engineering education. However, due to the fast development of network technology, students now can easily find solution manuals on the internet. While some students use solution manuals to study, there are quite a few students who just copy homework solutions and lose…
Descriptors: Self Evaluation (Individuals), Homework, Error Correction, Models
Rho, Jihyun; Rau, Martina A.; Van Veen, Barry D. – International Educational Data Mining Society, 2022
Instruction in many STEM domains heavily relies on visual representations, such as graphs, figures, and diagrams. However, students who lack representational competencies do not benefit from these visual representations. Therefore, students must learn not only content knowledge but also representational competencies. Further, as learning…
Descriptors: Learning Processes, Models, Introductory Courses, Engineering Education
Slater, Stefan; Baker, Ryan S.; Wang, Yeyu – International Educational Data Mining Society, 2020
Feature engineering, the construction of contextual and relevant features from system log data, is a crucial component of developing robust and interpretable models in educational data mining contexts. The practice of feature engineering depends on domain experts and system developers working in tandem in order to creatively identify actions and…
Descriptors: Data Analysis, Engineering, Classification, Models
Rüütmann, Tiia – International Baltic Symposium on Science and Technology Education, 2019
This study is introducing the basic principles of Engineering Pedagogy Science for effective design, teaching and learning of science, technology and engineering. The basic didactical models are introduced for contemporary design of effective teaching and learning. A quadruple instruction model of Engineering Pedagogy Science is proposed,…
Descriptors: Engineering Education, STEM Education, Teaching Methods, Learning Processes
Schulze-Buxloh, Lina; Grob, Rolf; Ulbrich, Michelle – International Society for Technology, Education, and Science, 2021
The worldwide Corona pandemic has severely restricted student projects in the higher semesters of engineering courses. In order not to delay the graduation, a new concept had to be developed for projects under lockdown conditions. Therefore, unused rooms at the university should be digitally recorded in order to develop a new usage concept as…
Descriptors: Computer Simulation, Distance Education, Educational Technology, Models
Rus, Vasile; Gautam, Dipesh; Swiecki, Zachari; Shaffer, David W.; Graesser, Arthur C. – International Educational Data Mining Society, 2016
Engineering virtual internships are simulations where students role play as interns at fictional companies, working to create engineering designs. To improve the scalability of these virtual internships, a reliable automated assessment system for tasks submitted by students is necessary. Therefore, we propose a machine learning approach to…
Descriptors: Engineering Education, Internship Programs, Computer Simulation, Models
Cepeda, Francisco Javier Delgado – International Association for Development of the Information Society, 2017
This work presents a proposed model in blended learning for a numerical methods course evolved from traditional teaching into a research lab in scientific visualization. The blended learning approach sets a differentiated and flexible scheme based on a mobile setup and face to face sessions centered on a net of research challenges. Model is…
Descriptors: Blended Learning, Models, Methods Courses, Teaching Methods
Supraja, S.; Hartman, Kevin; Tatinati, Sivanagaraja; Khong, Andy W. H. – International Educational Data Mining Society, 2017
Expertise in a domain of knowledge is characterized by a greater fluency for solving problems within that domain and a greater facility for transferring the structure of that knowledge to other domains. Deliberate practice and the feedback that takes place during practice activities serve as gateways for developing domain expertise. However, there…
Descriptors: Test Items, Outcomes of Education, Feedback (Response), Models
Shafat, Gabriel; Levin, Ilya – International Association for Development of the Information Society, 2012
This paper deals with two types of logical problems--recognition problems and reverse engineering problems, and with the interrelations between these types of problems. The recognition problems are modeled in the form of a visual representation of various objects in a common pattern, with a composition of represented objects in the pattern.…
Descriptors: Foreign Countries, Information Seeking, Online Searching, Search Strategies
Winer, Jane L.; And Others – 1985
An interdisciplinary effort by Texas Tech University to help undergraduate civil engineering students make better-informed occupational choices is the subject of this paper. The theoretical and empirical bases of the project, which is designed to improve counseling of freshmen students for both inter- and intra-occupational decision making, are…
Descriptors: Career Choice, Career Counseling, Civil Engineering, College Freshmen