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Yuma Miyazaki; Valdemar Švábenský; Yuta Taniguchi; Fumiya Okubo; Tsubasa Minematsu; Atsushi Shimada – International Educational Data Mining Society, 2024
Digital textbook (e-book) systems record student interactions with textbooks as a sequence of events called EventStream data. In the past, researchers extracted meaningful features from EventStream, and utilized them as inputs for downstream tasks such as grade prediction and modeling of student behavior. Previous research evaluated models that…
Descriptors: Textbooks, Electronic Books, Student Behavior, Time
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Zhikai Gao; Gabriel Silva de Oliveira; Damilola Babalola; Collin Lynch; Sarah Heckman – International Educational Data Mining Society, 2024
Promptly and properly addressing students' help requests during office hours is a critical challenge for large CS courses. With a large amount of help requests, instructors often find themselves facing a long office hours queue and need to decide who to help next. Most instructors typically select the earliest arrival students (FCFS), while some…
Descriptors: Teacher Responsibility, Educational Strategies, Higher Education, Computer Science Education
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Emmanuel Kwasi Gyamfi; Benjamin Ghansah; Issifu Yidana; Stephen Opoku Oppong; Patricia Ananga; Einstein Kow Essibu; Winston Kwamina Essibu – Discover Education, 2025
The study aimed to explore the preparedness of preservice teacher trainees (PSTTs) in implementing the computing curriculum in Ghana's basic schools. It focused on examining curriculum alignment, contextual conditions, preparedness, and the challenges faced during their training. The study employed a descriptive survey design complemented with…
Descriptors: Foreign Countries, Preservice Teachers, Computer Science Education, Barriers
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Gustavo Gutierrez Carreon – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: The need for this paper arises from the lack of comprehensive studies comparing the impact of cloud-based versus local database systems on student learning outcomes. Specifically, there is a need to understand how these different approaches affect usability and cognitive load in educational settings, which are critical factors for…
Descriptors: Cognitive Processes, Difficulty Level, Information Storage, Information Technology
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Busra Ozmen Yagiz; Ecenaz Alemdag – Education and Information Technologies, 2025
Resilience is a critical personality trait that allows one to deal with difficulties, learn from failures, and maintain a positive attitude during task performance. However, it has not been understudied in a complex and challenging educational domain. The current research intends to address this gap by analyzing the specific characteristics of…
Descriptors: Foreign Countries, Undergraduate Students, Resilience (Psychology), Programming
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Sirinda Palahan – IEEE Transactions on Learning Technologies, 2025
The rise of online programming education has necessitated more effective personalized interactions, a gap that PythonPal aims to fill through its innovative learning system integrated with a chatbot. This research delves into PythonPal's potential to enhance the online learning experience, especially in contexts with high student-to-teacher ratios…
Descriptors: Programming, Computer Science Education, Artificial Intelligence, Computer Mediated Communication
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Robbert Smit; Rahel Schmid; Nicolas Robin – British Journal of Educational Technology, 2025
Secondary school students (N = 269) participated in a daylong visual programming course held in a stimulating environment for start-up enterprises. The tasks were application-oriented and partly creative. For example, a wearable device with light-emitting diodes, (ie, LEDs) could be applied to a T-shirt and used for optical messages. Our research…
Descriptors: Self Efficacy, Gender Differences, Prediction, Student Attitudes
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Gayithri Jayathirtha; Gail Chapman; Joanna Goode – Journal of Research on Technology in Education, 2025
We report findings from qualitatively analyzing audio recordings and teacher-generated products from a two-day in-person collaborative design (co-design) workshop where nine experienced high school CS teachers revised parts of an existing introductory high school program toward justice. In response to our research question of how teachers…
Descriptors: Experienced Teachers, Team Teaching, Design, High School Teachers
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Theodosios Sapounidis; Sophia Rapti; Julie Vaiopoulou – Journal of Science Education and Technology, 2025
Communication, collaboration, critical thinking, and creativity are regarded as core skills of the twenty-first century required to succeed in life and working frameworks. Meanwhile, new technologies have entered educational settings to facilitate children's development of competencies. During the last decade, several studies have been conducted…
Descriptors: Robotics, Creative Thinking, Critical Thinking, Kindergarten
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Allison Master; Taylor Alexander; Jennifer Thompson; Weihua Fan; Andrew N. Meltzoff; Sapna Cheryan – Journal of Research on Technology in Education, 2025
Motivating girls to enroll in computer science (CS) courses is critically important. Stereotypes that girls are less interested than boys in CS may deter girls. Three preregistered experimental studies (N = 1,053) examined causal links between gender-interest stereotypes and middle school students' CS motivation. Experiment 1 showed that…
Descriptors: Females, Womens Education, Middle School Students, Computer Science Education
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Gediminas Merkys; Sigitas Vaitkevicius; Daiva Bubeliene; Vaino Brazdeikis – Informatics in Education, 2025
The paper presents graduates results in computer science testing according to their dependence from students' gender, family socioeconomic status, and the type of prosperity of the locality of the school in Lithuania. It was found that the gender of the graduate does not affect the results in computer science test. However, the girls who chooses…
Descriptors: Foreign Countries, Computer Science Education, Gender Differences, Socioeconomic Status
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Mirjam Paales; Karin Täht – IEEE Transactions on Education, 2025
Contribution: This study enhances the understanding of the factors that impact academic performance and self-efficacy among computer science (CS) students, specifically focusing on gender differences. Background: The motivation behind this study stems from the gender disparity observed within undergraduate CS programs. This gender gap undermines…
Descriptors: Females, Womens Education, Gender Differences, Undergraduate Students
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Golnoush Haddadian; Prajwal Panzade; Daniel Takabi; Min Kyu Kim – International Journal of Technology in Education, 2025
In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students' evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a…
Descriptors: Computer Science Education, Artificial Intelligence, Curriculum Development, Curriculum Implementation
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Chun-Ying Chen – ACM Transactions on Computing Education, 2025
This study examined the effects of worked examples with different explanation types and novices' motivation on cognitive load, and how this subsequently influenced their programming problem-solving performance. Given the study's emphasis on both instructional approaches and learner motivation, the Cognitive Theory of Multimedia Learning served as…
Descriptors: Models, Learning Motivation, Cognitive Processes, Difficulty Level
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MiJeong Kim; JaMee Kim; WonGyu Lee – Education and Information Technologies, 2025
In the digital age, computational thinking (CT)-based problem-solving skills have emerged as essential competencies. Particularly, students with intellectual disabilities need equal educational opportunities and high-quality informatics education to cultivate CT-based problem-solving skills. However, research on the enhancement of CT-based…
Descriptors: Intellectual Disability, Programming, Computation, Thinking Skills
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