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David C. Lauer – ProQuest LLC, 2022
This dissertation seeks to understand the ways in which software developers and managers of software developers perceive workplace learning for software developers. Across three studies, researchers investigated: perceptions of software developers about workplace learning for software developers, perceptions of managers of software developers…
Descriptors: Workplace Learning, Computer Software, Administrator Attitudes, Business
Chelsy Hooper – Association Supporting Computer Users in Education, 2022
Undergraduate university students experience a knowledge gap when required to use unfamiliar software applications without the benefit of direct instruction. As a solution, students often turn to online support, particularly video, but little is known about students' perceptions of the effectiveness of support videos. As libraries are a principle…
Descriptors: Undergraduate Students, Student Attitudes, Instructional Effectiveness, Instructional Materials
Mezhennaya, Natalia M.; Pugachev, Oleg V. – Problems of Education in the 21st Century, 2019
This research presents the analysis of image of the popular program packages: CAS (Computer Algebra Systems) Matlab, Mathcad, Mathematica, and the spreadsheet 'Microsoft Excel' among students of engineering specializations studying in Bauman Moscow State Technical University (BMSTU). The research has explored perception of program packages by all…
Descriptors: Student Attitudes, Algebra, Computer Software, Engineering Education
Hayes, Timothy – Journal of Educational and Behavioral Statistics, 2019
Multiple imputation is a popular method for addressing data that are presumed to be missing at random. To obtain accurate results, one's imputation model must be congenial to (appropriate for) one's intended analysis model. This article reviews and demonstrates two recent software packages, Blimp and jomo, to multiply impute data in a manner…
Descriptors: Computer Software Evaluation, Computer Software Reviews, Hierarchical Linear Modeling, Data Analysis
Pin-Hui Li; Hsin-Yu Lee; Chia-Ju Lin; Wei-Sheng Wang; Yueh-Min Huang – Journal of Educational Computing Research, 2025
The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging learning environment that stimulates students' active learning, thereby effectively enhancing their interest in learning, thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Active Learning
Daniel Sbastian; Gloria Putri Waang – Journal of English Teaching, 2025
Technological advances have made the ability to translate no longer exclusively belong to humans. Today, machine translation has turned into a tool with superior performance to convert text between languages without the need for human intervention. One of the translation research foci is the studies of causative translation, especially from…
Descriptors: Novels, Translation, Indonesian, English (Second Language)
Maame Afua Nkrumah; Ronald Osei Mensah; Alwyna Sackey Addaquay – Discover Education, 2025
The study sought to examine the gender, faculty and school-based disparity that exists in students' research self-efficacy, perception of ethics in research and the level of stress they face in conducting research. A sample of 385 undergraduate students from the faculty of business and hospitality were selected from three public universities in…
Descriptors: Gender Differences, Student Attitudes, Student Research, Self Efficacy
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
Xiaoxuan Fang; Davy Tsz Kit Ng; Manwai Yuen – Education and Information Technologies, 2025
To promote computational thinking in mathematics education, Scratch is used to foster students' computational thinking and mathematical understanding. However, students face challenges in block-based programming environments, such as having low motivation, high anxiety, and cognitive loads. This study combined the pedagogical values of Geogebra…
Descriptors: Computer Software, Mental Computation, Elementary School Mathematics, Grade 5
Claude, ChatGPT, Copilot, and Gemini Performance versus Students in Different Topics of Neuroscience
Volodymyr Mavrych; Ahmed Yaqinuddin; Olena Bolgova – Advances in Physiology Education, 2025
Despite extensive studies on large language models and their capability to respond to questions from various licensed exams, there has been limited focus on employing chatbots for specific subjects within the medical curriculum, specifically medical neuroscience. This research compared the performances of Claude 3.5 Sonnet (Anthropic), GPT-3.5 and…
Descriptors: Artificial Intelligence, Computer Software, Neurosciences, Medical Education
Jayaron Jose – Education and Information Technologies, 2025
The growing significance of artificial intelligence and numerous AI supported educational applications have attracted the attention of educators worldwide. Consequently, AI and software developers have begun creating numerous AI supported applications for teaching and learning. The paper explains the importance of the impacts of the Microsoft…
Descriptors: Computer Mediated Communication, Computer Software, Progress Monitoring, Reading Achievement
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
Frank Niklas; Efsun Birtwistle; Anna Mues; Astrid Wirth – Child Development, 2025
The usage of high-quality learning applications (apps) at home may increase children's mathematical and literacy competencies. This approach was tested in a family intervention study. Intervention families (n = 302) in two German cohorts (N = 500; M (SD)[subscript age] = 61.0 (4.6) months; n[female gender symbol] = 302) received tablets with newly…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Tablet Computers
Elizeth Mayrene Flores Hinostroza; Derling Jose Mendoza; Mercedes Navarro Cejas; Edinson Patricio Palacios Trujillo – International Electronic Journal of Mathematics Education, 2025
This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…
Descriptors: Science Instruction, Artificial Intelligence, Technology Integration, Technology Uses in Education
Hongfei Ye; Jian Xu; Danqing Huang; Meng Xie; Jinming Guo; Junrui Yang; Haiwei Bao; Mingzhi Zhang; Ce Zheng – Discover Education, 2025
This study evaluates Large language models (LLMs)' performance on Chinese Postgraduate Medical Entrance Examination (CPGMEE) as well as the hallucinations produced by LLMs and investigate their implications for medical education. We curated 10 trials of mock CPGMEE to evaluate the performances of 4 LLMs (GPT-4.0, ChatGPT, QWen 2.1 and Ernie 4.0).…
Descriptors: College Entrance Examinations, Foreign Countries, Computational Linguistics, Graduate Medical Education