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Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
Singla, Adish; Theodoropoulos, Nikitas – International Educational Data Mining Society, 2022
Block-based visual programming environments are increasingly used to introduce computing concepts to beginners. Given that programming tasks are open-ended and conceptual, novice students often struggle when learning in these environments. AI-driven programming tutors hold great promise in automatically assisting struggling students, and need…
Descriptors: Programming, Computer Science Education, Task Analysis, Introductory Courses
Noah G. Price – ProQuest LLC, 2022
Over the last decade the Bay Area region has witnessed a lack of diversity in Silicon Valley technology professions, a subject of current political and popular discourse. The California State University (CSU) system provides accessible higher education; the CSU system approach to accessible higher education affirms the distinctness of regions,…
Descriptors: Disproportionate Representation, Minority Group Students, Graduate Students, Females
Mohammed Alzaid – ProQuest LLC, 2022
Distributed self-assessments and reflections empower learners to take the lead on their knowledge gaining evaluation. Both provide essential elements for practice and self-regulation in learning settings. Nowadays, many sources for practice opportunities are made available to the learners, especially in the Computer Science (CS) and programming…
Descriptors: Learning Analytics, Self Evaluation (Individuals), Programming, Problem Solving
Marco Zappatore – Technology, Knowledge and Learning, 2024
This research aims to address the current gaps in computer-assisted translation (CAT) courses offered in bachelor's and master's programmes in scientific and technical translation (STT). A multi-framework course design methodology is proposed to support CAT teachers from the computer engineering field, improve student engagement, and promote…
Descriptors: Translation, Computational Linguistics, Computer Software, Language Skills
Stephanie Jill Lunn; Ellen Zerbe; Monique Ross – ACM Transactions on Computing Education, 2024
Although there is a great demand for graduates in computing fields, companies frequently struggle to find enough workers. They may also grapple with obtaining racial, ethnic, and gender diversity in representation. It has been suggested that the hiring process further contributes to these inequities. This study examined undergraduate computing…
Descriptors: Undergraduate Students, Computer Science Education, Disproportionate Representation, Employment
Matthew Frazier – ProQuest LLC, 2024
Online educational resources (e.g., curricula, tutorials, documentation, Q&A sites) increasingly serve as key sources for secondary school students learning Computer Science Principles (CSP). A big obstacle to using these resources is finding information appropriate for the learning task and learner's background. Research shows that secondary…
Descriptors: Computer Science Education, Secondary School Students, Student Characteristics, Information Literacy
Ramadan Abdunabi; Ilham Hbaci; Teddy Nyambe – Information Systems Education Journal, 2024
Programming is a major subject in various Information Systems (IS) programs, with students often finding it a challenging skill to acquire. While there is extensive literature on factors helping students learn to program, most of which focuses on non-IS students. Due to the increasing demand for professionals with programming skills, there is a…
Descriptors: Influences, Programming, Self Efficacy, Computer Science Education
Carsten Lecon – Athens Journal of Education, 2024
In this paper, we describe a teaching scenario using a virtual environment (known also in the context of the 'metaverse'). This is motivated by the challenges that arise during the pandemic. More and more teaching scenarios are transferred to online learning settings, which allow learning at any time and at any time. One of the possibilities are…
Descriptors: Electronic Learning, Virtual Classrooms, Computer Simulation, Artificial Intelligence

Sarah K. Mason; Matt Hancock; Izzy Thornton – Grantee Submission, 2024
Rural Mississippi schools often face challenges in providing equitable access to Advanced Placement (AP) courses, particularly in STEM fields. This lack of access limits opportunities for high-achieving students to pursue rigorous STEM coursework and related careers. The AP STEM program aims to improve access to AP STEM courses for high-achieving…
Descriptors: Rural Schools, STEM Education, Advanced Placement Programs, Access to Education
Jordan Allison; Abu Alam; Luke Gassmann; Gareth Nelson; Kamal Zidan – Journal of Further and Higher Education, 2024
This article presents the usage of Integrated Course Design (ICD) in the design and evaluation of applying agile methodologies within an undergraduate module of study to foster the development of computer science students employability skills. Undergraduate programs of computer science typically follow traditional educational methods which can…
Descriptors: Computer Science Education, Employment Potential, College Graduates, Integrated Curriculum
Balaji Kalluri; Prajish Prasad; Prakrati Sharma; Divyaansh Chippa – IEEE Transactions on Education, 2024
Contribution: This article proposes a new theoretical model with a goal to develop future human computational thinking (CT) in foundational computer science (CS) education. The model blends six critical types of thinking, i.e., logical thinking, systems thinking, sustainable thinking, strategic thinking, creative thinking, and responsible thinking…
Descriptors: Computation, Thinking Skills, Computer Science Education, Critical Thinking
Maher Salem; Khalid Samara; Abdel-Karim Al-Tamimi – ACM Transactions on Computing Education, 2024
This study focuses on the challenges encountered in online cybersecurity education. It adopts an exploratory research design using a mixed-methods approach to investigate the perceptions and experiences of postgraduate students enrolled in an online cybersecurity program. The collection of data is structured into two distinct phases. In the…
Descriptors: Information Security, Computer Security, Guidelines, Student Motivation
Paulina Haduong; Karen Brennan – Journal of Technology and Teacher Education, 2024
Online professional learning experiences can address K¬--12 computing teachers' need for content knowledge and professional communities. However, it can be difficult to design effective, large-scale experiences that reach broader audiences while addressing individual teachers' professional needs. We facilitated a two-week online professional…
Descriptors: Computer Science Education, Electronic Learning, Faculty Development, Learning Experience
Chung, Cheng-Yu; Awad, Nayif; Hsiao, I-Han – Australasian Journal of Educational Technology, 2021
Although numerous studies have demonstrated different ways that augmented reality (AR) can assist students to understand the learning content via contextualised visualisation, less explored is its effect on collaborative problem-solving (CPS) in computer programming. This study aims to investigate how AR affects a CPS in a programming task. We…
Descriptors: Problem Solving, Problem Based Learning, Cooperative Learning, Computer Simulation