Javeed Kittur
Datos Biográficos
| ID | 9259752 |
|---|---|
| NOMBRE | Javeed Kittur |
| NOMBRES | Javeed |
| APELLIDO | Kittur |
| FIRMA | KITTUR J |
| AFILIACIONES | Pathways Behavioral Services |
| ORCID | 0000-0001-6132-7304 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2020 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Shaping tomorrow’s classrooms: What engineering doctoral students expect as future educators
Introduction Engineering doctoral students who pursue careers in academia will be required to teach courses; however, their PhD programs typically result in much less teaching experience compared to research experience. Most teaching experience occurs through graduate teaching assistantships, which may include training but involve a wide variety of roles. While some doctoral students seek additional instructional positions during their PhD progra…
Strategic innovations and future directions in deep learning for engineering applications: A systematic literature review
Background Deep learning (DL), a subset of machine learning and artificial intelligence (AI), is transforming engineering by addressing complex problems with innovative solutions. Despite its growing influence, a comprehensive review of current trends, applications, and research gaps in engineering disciplines is essential to understand its full potential, limitations, and potential educational implications. Purpose This study systematically expl…
Understanding the Current Mentorship Capabilities of Teaching Assistants for Engineering Courses
Contribution: This article describes and interprets the quantitative results from a survey meant to evaluate the mentorship capabilities of engineering teaassistants. Background: TA are a common facet at several higher learning institutions. In this position, they perform multiple duties to improve their students’ learning experiences, refining their own teaching abilities in the process. Given both their prevalence and impact, various researcher…
Measuring the Programming Self-Efficacy of Electrical and Electronics Engineering Students
Contribution: This article has shown that self-efficacy in performing complex computer programming tasks and the self-regulation of electrical and electronics engineering undergraduate students varies with respect to the class standing and prior experience in computer programming. Background: Computer programming is an essential skill that all engineers must possess, as most industries require engineers to own this skill. Prior studies discuss pr…
Sin obras prominentes en esta página.
Measuring the Programming Self-Efficacy of Electrical and Electronics Engineering Students
Contribution: This article has shown that self-efficacy in performing complex computer programming tasks and the self-regulation of electrical and electronics engineering undergraduate students varies with respect to the class standing and prior experience in computer programming. Background: Computer programming is an essential skill that all engineers must possess, as most industries require engineers to own this skill. Prior studies discuss pr…
Strategic innovations and future directions in deep learning for engineering applications: A systematic literature review
Background Deep learning (DL), a subset of machine learning and artificial intelligence (AI), is transforming engineering by addressing complex problems with innovative solutions. Despite its growing influence, a comprehensive review of current trends, applications, and research gaps in engineering disciplines is essential to understand its full potential, limitations, and potential educational implications. Purpose This study systematically expl…
Understanding the Current Mentorship Capabilities of Teaching Assistants for Engineering Courses
Contribution: This article describes and interprets the quantitative results from a survey meant to evaluate the mentorship capabilities of engineering teaassistants. Background: TA are a common facet at several higher learning institutions. In this position, they perform multiple duties to improve their students’ learning experiences, refining their own teaching abilities in the process. Given both their prevalence and impact, various researcher…
Shaping tomorrow’s classrooms: What engineering doctoral students expect as future educators
Introduction Engineering doctoral students who pursue careers in academia will be required to teach courses; however, their PhD programs typically result in much less teaching experience compared to research experience. Most teaching experience occurs through graduate teaching assistantships, which may include training but involve a wide variety of roles. While some doctoral students seek additional instructional positions during their PhD progra…
Engineering education (3 obras) · Computer Science (2 obras) · Engineering (2 obras) · Engineering management (2 obras) · Exploratory factor analysis (2 obras) · Regression analysis (2 obras) · Anomaly Detection Techniques and Applications (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence (1 obras) · Class (philosophy) (1 obras)