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CS1 and Gender: Understanding Effects of Background and Self-Efficacy on Achievement and Interest
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Philip Sands – ProQuest LLC, 2021
Over the past 20 years, the field of computer science has experienced a growth in student interest. Despite this increase in participation rates, longstanding gender gaps persist in computer science. Recent research has examined a wide variety of individual factors (e.g., self-efficacy, sense of belonging, etc.) that impact student interest and…
Descriptors: Computer Science Education, Gender Differences, Prior Learning, Programming
Undergraduate Computer Science Students' Ways of Transferring Prior and Concurrent Writing Knowledge: Exploring Disciplinary and Individual Knowledge Domains
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Omar Ahmed Yacoub – ProQuest LLC, 2023
The Purpose of this dissertation is to explore undergraduate Computer Science (CS) students' writing processes and transfer as they occur in the process of completing a writing assignment in a CS course. In particular, I observe and analyze students' writing processes, and investigate examples of writing knowledge transfer from prior and…
Descriptors: Undergraduate Students, Computer Science Education, Majors (Students), Transfer of Training
Computer Science at Community Colleges: Attitudes and Trends
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Trenton W. Dawson – ProQuest LLC, 2022
This study aimed to understand the identity and attitude of students enrolled in computer science (CS) or programming-related course at community colleges nationwide. This study quantitatively evaluation data for estimating the relationships between students' identity and attitudes toward computer science with prior programming experience and…
Descriptors: Computer Science Education, Trend Analysis, Programming, Community College Students
The Application of Cognitive Task Analysis and Cognitive Load Methods in the Process of Learning Algorithms
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Razieh Fathi – ProQuest LLC, 2021
This dissertation describes an experiment to investigate how learners with different levels of background in computer science learn core concepts of computer science, in particular, algorithms. We designed a study to focus on cognitive task analysis for eliciting the empirical mental elements of learning two graph algorithms. Cognitive workload…
Descriptors: Undergraduate Students, Computer Science Education, Algorithms, Cognitive Development
Background Knowledge in Learning-Based Relation Extraction
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Do, Quang Xuan – ProQuest LLC, 2012
In this thesis, we study the importance of background knowledge in relation extraction systems. We not only demonstrate the benefits of leveraging background knowledge to improve the systems' performance but also propose a principled framework that allows one to effectively incorporate knowledge into statistical machine learning models for…
Descriptors: Prior Learning, Natural Language Processing, Information Retrieval, Computer Science
Applications of Out-of-Domain Knowledge in Students' Reasoning about Computer Program State
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Lewis, Colleen Marie – ProQuest LLC, 2012
To meet a growing demand and a projected deficit in the supply of computer professionals (NCWIT, 2009), it is of vital importance to expand students' access to computer science. However, many researchers in the computer science education community unproductively assume that some students lack an innate ability for computer science and…
Descriptors: Computer Science Education, Prior Learning, Novices, Programming