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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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Johan Syahbrudin; Edi Istiyono; Moh. Khairudin; Anita Anggraini; Indah Urwatin Wusqo; Metta Mariam; Yenni Muflihan – Contemporary Educational Technology, 2025
Computer-based assessment (CBA) is a top-rated tool for conducting assessments, mapping learning outcomes, and selecting new candidates. Research that examines the development and use of CBA is also increasing from year to year, so without bibliometric analysis, it would be quite challenging to keep up with all of these studies. This study aims to…
Descriptors: Computer Assisted Testing, Educational Research, Educational Trends, Bibliometrics
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Yumeng Zhu; Caifeng Zhu; Tao Wu; Shulei Wang; Yiyun Zhou; Jingyuan Chen; Fei Wu; Yan Li – Education and Information Technologies, 2025
With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…
Descriptors: Artificial Intelligence, Assignments, Middle School Students, Influence of Technology
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Kyungmee Lee; Yiyi Mao – British Journal of Educational Technology, 2025
This qualitative case study examines the concept of 'internationalisation at a distance (IaD)' by investigating the learning and academic socialising experiences of international students in online higher education (HE). Amid the evolving landscape of global HE, the COVID-19 pandemic has accelerated the adoption of distance education, creating a…
Descriptors: Global Approach, Computer Mediated Communication, Intercultural Communication, Foreign Students
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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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James Pengelley; Peter R. Whipp; Anabela Malpique – Technology, Pedagogy and Education, 2025
The rising use of technology in classrooms has also brought with it a concomitant wave of computer-based assessments. The argument for computer-based testing is often framed in terms of efficiency and data management: computer-based tests facilitate more efficient processing of test data and the rate at which feedback can be leveraged for student…
Descriptors: Cognitive Processes, Paper and Pencil Tests, Computer Assisted Testing, Student Evaluation
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Wan Shun Eva Lam; Jue Wu – Reading Research Quarterly, 2025
This study explores the transnational literacies that contribute to creating online social connections among migrant youth that may support their development and navigation of life across countries. We examine how social connectedness is semiotically constructed through time-space framing among two youth of Chinese descent who were participants of…
Descriptors: Chinese Americans, Immigrants, High School Students, Computer Mediated Communication
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Nazarana Mather; Liesl Scheepers – Turkish Online Journal of Distance Education, 2025
Feedback is one of the most powerful tools for teaching and learning. Providing meaningful feedback to students is of particular importance in an online context as it is a direct way for the facilitator to engage with their students and to provide them with individual, tailored support. This study sought to explore the perceptions of online…
Descriptors: Feedback (Response), Private Colleges, Facilitators (Individuals), Online Courses
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Eko Suhartoyo; Rida Afrilyasanti; Nur Mukminatien – Turkish Online Journal of Distance Education, 2025
In this paper, we investigated the impact of an online classroom-based reading assessment on implementing practices in reading instruction among 30 EFL learners in an intermediate reading course at a public university in East Java, Indonesia. Our study aimed to develop an online classroom-based reading assessment and evaluate its efficacy in…
Descriptors: Student Evaluation, Computer Assisted Testing, Reading Tests, Reading Instruction
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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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Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Jiaqi Yin; Haoxin Xu; Yafeng Pan; Yi Hu – npj Science of Learning, 2025
Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored. We investigated how metacognitive, affective, and neutral feedback from an educational chatbot affected learning outcomes and brain activity using functional…
Descriptors: Outcomes of Education, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
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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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