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White, Jason J. G. – Journal of Science Education for Students with Disabilities, 2022
In using software to write a scientific, technical, or other scholarly document, authors have essentially two options. They can either write it in a 'what you see is what you get' (WYSIWYG) editor such as a word processor, or write it in a text editor using a markup language such as HTML, LATEX, Markdown, or AsciiDoc. This paper gives an overview…
Descriptors: Computer Software, Writing (Composition), Technical Writing, Programming Languages
Sattigeri, Prasanna; Thiagarajan, Jayaraman; Ramamurthy, Karthikeyan; Spanias, Andreas; Banavar, Mahesh; Dixit, Abhinav; Fan, Jie; Malu, Mohit; Jaskie, Kristen; Rao, Sunil; Shanthamallu, Uday; Katoch, Sameeksha – International Journal of Virtual and Personal Learning Environments, 2022
Ion channel sensors have several applications including DNA sequencing, biothreat detection, and medical applications. Ion channel sensors mimic the selective transport mechanism of cell membranes and can detect a wide range of analytes at the molecule level. Analytes are sensed through changes in signal patterns. Papers in the literature have…
Descriptors: Measurement Equipment, Artificial Intelligence, Biochemistry, Acoustics
Alonso Ogueda-Oliva; Padmanabhan Seshaiyer – International Journal of Mathematical Education in Science and Technology, 2024
In this paper, we introduce novel instructional approaches to engage students in using modelling with data to motivate and teach differential equations. Specifically, we introduce a pedagogical framework that will execute instructional modules to teach different solution techniques for differential equations through repositories and notebook…
Descriptors: Mathematical Models, Equations (Mathematics), Mathematics Instruction, Learning Modules
Václav Dobiáš; Václav Šimandl; Jirí Vanícek – Informatics in Education, 2024
The paper discusses an alternative method of assessing the difficulty of pupils' programming tasks to determine their age appropriateness. Building a program takes the form of its successive iterations. Thus, it is possible to monitor the number of times such a program was built by the solver. The variance of the number of program builds can be…
Descriptors: Difficulty Level, Computer Science Education, Programming, Task Analysis
Yuhui Jing; Chengliang Wang; Yu Chen; Haoming Wang; Teng Yu; Rustam Shadiev – Education and Information Technologies, 2024
Bibliometric mapping is widely used in educational technology research to visualize research field development (e.g. the current status and trend). However, there has been limited research examining the present state, challenges, and potential applications of bibliometric mapping techniques in the field of educational technology. In an effort to…
Descriptors: Bibliometrics, Educational Technology, Information Technology, Online Courses
Rafael Mellado; Claudio Cubillos – Journal of Computer Assisted Learning, 2024
Background: Effective learning in computer programming courses has been a constant challenge for university teachers and has become a relevant competence for current professionals. The literature on gamification in learning presents mixed results, mainly due to problems in instructional design and inconsistency in gamification. Studies with…
Descriptors: Engineering Education, College Students, Computer Software, Technical Occupations
Ndudi Okechukwu Ezeamuzie; Mercy Noyenim Ezeamuzie – Review of Educational Research, 2025
Computer programming provides a framework for interdisciplinary learning in sciences, arts and languages. However, increasing integration of programming in K--12 shows that the block-based and text-based dichotomy of programming environments does not reflect the spectrum of their affordance. Hence, educators are confronted with a fundamental…
Descriptors: Kindergarten, Elementary Secondary Education, Computer Science Education, Programming
Rebeckah K. Fussell; Megan Flynn; Anil Damle; Michael F. J. Fox; N. G. Holmes – Physical Review Physics Education Research, 2025
Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…
Descriptors: Physics, Computational Linguistics, Classification, Laboratory Experiments
Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Hosseini, Roya; Akhuseyinoglu, Kamil; Brusilovsky, Peter; Malmi, Lauri; Pollari-Malmi, Kerttu; Schunn, Christian; Sirkiä, Teemu – International Journal of Artificial Intelligence in Education, 2020
This research is focused on how to support students' acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student's learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage…
Descriptors: Programming, Computer Science Education, Problem Solving, Learner Engagement
Ardimento, Pasquale; Bernardi, Mario Luca; Cimitile, Marta; De Ruvo, Giuseppe – ACM Transactions on Computing Education, 2020
Novice programmers often encounter difficulties performing debugging tasks effectively. Even if modern development environments (IDEs) provide high-level support for navigating through code elements and for identifying the right conditions leading to the bug, debugging still requires considerable human effort. Programmers usually have to make…
Descriptors: Programming, Novices, Troubleshooting, Open Source Technology
Shadi Alawneh – Discover Education, 2024
The HCS12 microcontroller and DRAGON12-Light Trainer boards are extensively utilized in microprocessor system design education. This paper details the rationale, approach, and outcomes from implementing the DRAGON12-Light Trainer board in teaching an upper-level undergraduate microprocessors course at Oakland University. The course's primary goal…
Descriptors: Computer Science Education, Programming Languages, Computer Software, Teaching Methods
Hui Zhang; Haihan Zhang; Qian Zhang – Innovations in Education and Teaching International, 2024
Computer programming and municipal engineering (ME) students' specialised knowledge are still poorly integrated, leading to limited improvement of students' programming abilities. This paper describes an effective attempt in ME at Xi'an University of Architecture and Technology (XAUAT). Students were divided into several teams and required to…
Descriptors: Engineering Education, Municipalities, Skill Development, Universities
Niklas Humble; Jonas Boustedt; Hanna Holmgren; Goran Milutinovic; Stefan Seipel; Ann-Sofie Östberg – Electronic Journal of e-Learning, 2024
Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in Education, Computer Science Education
Chen Zhong; J. B. Kim – Journal of Information Systems Education, 2024
Data Analytics has emerged as an essential skill for business students, and several tools are available to support their learning in this area. Due to the students' lack of programming skills and the perceived complexity of R, many business analytics courses employ no-code analytical software like IBM SPSS Modeler. Nonetheless, generative…
Descriptors: Business Education, Regression (Statistics), Programming, Artificial Intelligence