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Direct linkDiana Franklin; Paul Denny; David A. Gonzalez-Maldonado; Minh Tran – Cambridge University Press & Assessment, 2025
Generative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Science Education, Expertise
Peer reviewed
Download full textHanneke Theelen; Joyce Vreuls; Jim Rutten – International Journal of Technology in Education, 2024
The rapid development of artificial intelligence and large language models (LLMs) has led to significant advancements in applying machine learning techniques across diverse disciplines, including educational science research. This study investigates the potential of LLMs like ChatGPT for qualitative data analysis, focusing on open, axial,…
Descriptors: Artificial Intelligence, Science Education, Educational Research, Coding
Pavlos Toukiloglou; Stelios Xinogalos – Education and Information Technologies, 2024
Hour of Code is a widely recognized global event that aims to introduce programming to novice users and integrate computer science into education. This paper presents an analysis of the effectiveness of the support system and user interface of Minecraft Adventurer, a serious game designed for the Hour of Code global event. Although previous…
Descriptors: Novices, Programming, Coding, Computer Science Education
Oscar Karnalim; Hapnes Toba; Meliana Christianti Johan – Education and Information Technologies, 2024
Artificial Intelligence (AI) can foster education but can also be misused to breach academic integrity. Large language models like ChatGPT are able to generate solutions for individual assessments that are expected to be completed independently. There are a number of automated detectors for AI assisted work. However, most of them are not dedicated…
Descriptors: Artificial Intelligence, Academic Achievement, Integrity, Introductory Courses
Zeger-jan Kock; Ulises Salinas-Hernández; Birgit Pepin – Digital Experiences in Mathematics Education, 2025
ChatGPT is a new technological tool with the potential to impact education. Using Vergnaud's notion of "use schemes," we analyzed three interviews with engineering students who discovered ChatGPT and started to develop initial utilization schemes of the tool. Results showed that there were three domains of use of ChatGPT: (a) in…
Descriptors: Engineering Education, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Nezih Önal; Ayse Gül Ilhan; Nagihan Tanik Önal; Tessa H. S. Eysink – Journal of Learning and Teaching in Digital Age, 2025
The aim of this study is to examine the effect of Micro:bit applications with the participation of 6th grade students on students' attitudes towards coding. In addition participants' opinion regarding Micro:bit applications were examined. In this quantitative study, six-week applications with Micro:bit coding content were carried out using the…
Descriptors: Middle School Students, Student Attitudes, Coding, Grade 6
Michael Borcherds; Florian Derflinger; Zoltán Kovács; Ben North – International Journal of Mathematical Education in Science and Technology, 2025
We introduce the free web-app PyGgb -- the combination of the well-known programming language Python and the dynamic mathematics system GeoGebra. Motivated by the desire to provide an introduction to Python coding in the familiar context of mathematics and geometry, PyGgb allows GeoGebra constructions to be created using Python code. We outline…
Descriptors: Programming, Mathematics Education, Coding, Geometry
Ece Ceren Özer; Aleyna Özdemir; Feyza Ünsal; Semra Benzer – Science Insights Education Frontiers, 2025
This qualitative case study explored graduate students' views (n=6) on AI-supported applications and an AI-enabled blockbased coding tool (PictoBlox) in science education. Data were gathered over a 39-hour implementation via a semi-structured interview form and screen captures from the activities, and analyzed with content analysis. Participants…
Descriptors: Graduate Students, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Haley A. Delcher; Enas S. Alsatari; Adeyeye I. Haastrup; Sayema Naaz; Lydia A. Hayes-Guastella; Autumn M. McDaniel; Olivia G. Clark; Devin M. Katerski; Francois O. Prinsloo; Olivia R. Roberts; Meredith A. Shaddix; Bridgette N. Sullivan; Isabella M. Swan; Emily M. Hartsell; Jeffrey D. DeMeis; Sunita S. Paudel; Glen M. Borchert – Biochemistry and Molecular Biology Education, 2025
Today, due to the size of many genomes and the increasingly large sizes of sequencing files, independently analyzing sequencing data is largely impossible for a biologist with little to no programming expertise. As such, biologists are typically faced with the dilemma of either having to spend a significant amount of time and effort to learn how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Training, Teaching Methods
Mark Johnson; Rafiq Saleh – Interactive Learning Environments, 2024
Educational assessment is inherently uncertain, where physiological, psychological and social factors play an important role in establishing judgements which are assumed to be "absolute". AI and other algorithmic approaches to grading of student work strip-out uncertainty, leading to a lack of inspectability in machine judgement and…
Descriptors: Artificial Intelligence, Evaluation Methods, Technology Uses in Education, Man Machine Systems
Jiangang Hao; Wenju Cui; Patrick Kyllonen; Emily Kerzabi; Lei Liu; Michael Flor – Journal of Educational Measurement, 2025
Collaborative problem solving is widely recognized as a critical 21st-century skill. Assessing collaborative problem solving depends on coding the communication data using a construct-relevant framework, and this process has long been a major bottleneck to scaling up such assessments. Based on five datasets and two coding frameworks, we…
Descriptors: Cooperative Learning, Problem Solving, 21st Century Skills, Automation
Jiangyue Liu; Siran Li – Journal of Educational Computing Research, 2024
Pair Programming is considered an effective approach to programming education, but the synchronous collaboration of two programmers involves complex coordination, making this method difficult to be widely adopted in educational settings. Artificial Intelligence (AI) code-generation tools have outstanding capabilities in program generation and…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Coding
Ümmühan Avci – Research in Science & Technological Education, 2025
Aim and background: Today, students are encouraged to develop spatial visualization ability to meet the challenges of digital technologies impacting their daily life and education when exposed more time to a virtual 3D environment. This study investigated the effect of cognitive flexibility levels on students' spatial visualization abilities and…
Descriptors: Spatial Ability, Educational Technology, Technology Uses in Education, Cognitive Processes
Matthew S. Taylor; Eileen M. Glavey – Journal of Special Education Technology, 2024
Science, technology, engineering, and mathematics (STEM) curriculum and learning activities may help students learn social-emotional learning (SEL) competencies needed to support independence and community living, as well as 21st-century career development skills. Including robotics and coding curriculum in elementary classrooms can offer all…
Descriptors: Robotics, Coding, Social Emotional Learning, Autism Spectrum Disorders
Conatser, Trey – ProQuest LLC, 2022
What is the value of code in the humanities class, and what does it do for a humanities education? To what degree does code help us think about and compose texts, and to what degree can we engage with it as a text itself? Guided by these framing questions, this dissertation lies at the nexus of digital humanities; rhetoric, writing, and…
Descriptors: Coding, Humanities, Technology Uses in Education, Teaching Methods
