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Xuanyan Zhong; Zehui Zhan – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming, Independent Study
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Naomi Blaushild; Raisa Blazquez; Steven McGee; Randi McGee-Tekula – Computer Science Education, 2025
This study investigated how Chicago Public Schools (CPS) computer science (CS) teachers and instructional coaches navigated remote professional development (PD) during the pandemic. Analyzing multiple sources of qualitative data, we explored how coaches adapted PD to address teachers' unique needs and how teachers experienced remote PD. We found…
Descriptors: Public School Teachers, Computer Science Education, Faculty Development, Distance Education
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Ernst Bekkering – Information Systems Education Journal, 2025
Undergraduate research can stimulate students' interest, especially in STEM disciplines. This research can be formally offered in different formats such as Undergraduate Research Experiences (UREs). One of these is Course-based Undergraduate Research Experiences (CUREs), which are offered as an integral part of scheduled courses. CUREs have been…
Descriptors: Undergraduate Students, Research Training, Computer Science Education, Student Interests
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Monique S. Ross; Susan McGrade; Tamecia Jones; Atalie Garcia; Antonella Avogadro; Brenda Guerrero – Journal of Engineering Education, 2025
Background: Computing degree programs have struggled immensely over the years with broadening participation in the field. In the United States, scholars and educators alike have grappled with the many barriers that impede the participation of women and people of color and exacerbate the education debt so prevalent in computing.…
Descriptors: Females, Womens Education, African American Students, Hispanic American Students
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Maria Shaheen; Lauren Loquasto – Dimensions of Early Childhood, 2025
When thinking of early childhood STEM, images of active, play-based design challenges, experiences with robotics/coding, or hands-on experiences with open-ended materials (e.g., balls, ramps, loose parts) often come to mind. While these are certainly images that align with developmentally appropriate early childhood STEM practices, some of the…
Descriptors: Robotics, Values Education, Teaching Methods, Early Childhood Education
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Dwi Fitria Al Husaeni; Isma Widiaty; Budi Mulyanti; Ade Gafar Abdullah; Lala Septem Riza; Amay Suherman; Dwi Novia Al Husaeni – Informatics in Education, 2025
This study aims to provide a descriptive and bibliometric analysis of the trend of artificial intelligence (AI) application in the development of computational thinking (CT) skills in publications from 2007 to 2024. A total of 191 articles were obtained from Scopus database with certain keywords, and analyzed using Biblioshiny and VOSviewer. The…
Descriptors: Artificial Intelligence, Trend Analysis, Bibliometrics, Thinking Skills
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Fikile Mposula; Kayode Oyetade – Educational Process: International Journal, 2025
Background/purpose: Programming education faces persistent challenges, including high attrition rates, low student engagement, and difficulty grasping abstract concepts. Innovative pedagogical strategies are needed to support today's diverse learners better. Game-Based Learning (GBL) has emerged as a promising approach that uses interactive and…
Descriptors: Programming, Computer Science Education, Game Based Learning, Learner Engagement
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Fu, Qian; Zhang, Li-Wen; Hong, Jon-Chao; Dong, Yan – Australasian Journal of Educational Technology, 2021
Learning programming challenges students who encounter difficulties such as resolving syntax and format errors. These challenges require students to invoke resilience to overcome programming problems and keep trying. In response, this study developed the programming resilience scale for university students (PRSUS). The snowball-sampling method was…
Descriptors: Test Construction, Test Validity, Programming, Resilience (Psychology)
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Karo, Danaisak; Petsangsri, Sirirat – Education and Information Technologies, 2021
The objective of this study was to evaluate the utilization of Online Mentoring system through Professional Learning Community with Information and Communication Technology via Cloud Computing for Pre-Service Teachers in Thailand. The sample was 26 pre-service teachers of computer education program, Faculty of Education, Phuket Rajabhat University…
Descriptors: Mentors, Communities of Practice, Computer Mediated Communication, Preservice Teachers
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Doten-Snitker, Kerice; Margherio, Cara; Litzler, Elizabeth; Ingram, Ella; Williams, Julia – Research in Higher Education, 2021
Shared vision is an important process for change projects, serving to amplify success, increase participation, and erode the divide between project leaders and constituents. Yet there are few empirical examinations of the process of building shared vision within academic departments. Using focus groups and participant observation, this study…
Descriptors: Engineering Education, Computer Science Education, Higher Education, Educational Change
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Kallia, Maria; Sentance, Sue – Journal of Computer Assisted Learning, 2021
Threshold concepts have been characterised in the literature as jewels in the curriculum as they can inform teaching and learning practices. Therefore, identifying and addressing threshold concepts in any discipline is critical. The aim of the current study is to explore the existence of threshold concepts in computer programming and specifically…
Descriptors: Fundamental Concepts, Mathematical Concepts, Concept Formation, Skill Development
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Bresnihan, Nina; Bray, Aibhín; Fisher, Lorraine; Strong, Glenn; Millwood, Richard; Tangney, Brendan – ACM Transactions on Computing Education, 2021
This work is situated in research on Parental Involvement (PI) in Computer Science (CS) Education. While the importance of PI in children's education is well established, most parents have little experience in CS and struggle to facilitate the learning of a child in the area. If PI in CS Education is to happen, then we argue that parents need…
Descriptors: Parent Participation, Computer Science Education, Family Environment, Behavior
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Lishinski, Alex; Yadav, Aman – ACM Transactions on Computing Education, 2021
Research has repeatedly shown self-efficacy to be associated with course outcomes in CS and across other fields. CS education research has documented this and has developed CS-specific self-efficacy measurement instruments, but to date there have been only a few studies examining interventions intended to improve students' self-efficacy in CS, and…
Descriptors: Self Evaluation (Individuals), Intervention, Self Efficacy, Computer Science Education
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Berriri, Mehdi; Djema, Sofiane; Rey, Gaëtan; Dartigues-Pallez, Christel – Education Sciences, 2021
Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses…
Descriptors: Student Evaluation, Artificial Intelligence, Classification, Foreign Countries
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Luse, Andy; Rursch, Julie – British Journal of Educational Technology, 2021
Engineering and technology educators continually strive for realistic, hands-on laboratory exercises to enhance their students' learning. This research describes the redesign of an undergraduate introductory computer networking course to include new weekly virtual laboratory assignments that culminate in a 'real world' final project of configuring…
Descriptors: Experiential Learning, Computer Science Education, Curriculum Design, Undergraduate Study
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