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Bandar Marzoog Almutairi – Educational Process: International Journal, 2025
Background/purpose: This study addresses the lack of statistical thinking skills among Applied College students, a key requirement for professional success. Traditional statistics education focuses on procedural and computational methods rather than conceptual understanding, leading to misconceptions and difficulties in data organization,…
Descriptors: Statistics Education, Computer Software, Spreadsheets, Thinking Skills
Yunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
Hilliker, Angela K.; Grayson, Kristine L. – Biochemistry and Molecular Biology Education, 2022
As biologists accumulate or encounter increasingly large and complex data sets, our field creates the need for students to develop skills in data exploration and visualization. Many biology courses lack the time for students to develop the skills needed to parse complex datasets and visualize them appropriately. We developed a new upper-level…
Descriptors: Science Instruction, Biology, Undergraduate Students, Data Collection
Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
Yun Huang; Christian Dieter Schunn; Julio Guerra; Peter L. Brusilovsky – ACM Transactions on Computing Education, 2024
Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component skills. This article investigates why students struggle with integrating component skills--a…
Descriptors: Programming, Computer Science Education, Error Patterns, Classification
Morgado Hernández, Cindy Nathalia; Sánchez, Ernesto Sánchez – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
We report the results of a study on informal covariate statistical reasoning conducted with 22 students (aged 16 and 18 years). We designed and implemented a task in a digital technology environment to introduce the line of best fit. The task design having elements that foresee misconceptions reported in the literature, and by focusing on four…
Descriptors: Statistics Education, Teaching Methods, Thinking Skills, Task Analysis
Wakhata, Robert; Balimuttajjo, Sudi; Mutarutinya, Védaste – Mathematics Teaching Research Journal, 2023
This is an exploratory study considering instructional methods in mathematics education. The study examined misconceptions arising from selected assignments undertaken by sixty-five students. The students were attending a calculus mathematical course unit on limits of functions, in different academic areas offered at selected tertiary institutions…
Descriptors: Teaching Methods, Mathematics Instruction, Misconceptions, Calculus
Dahlkemper, Merten Nikolay; Lahme, Simon Zacharias; Klein, Pascal – Physical Review Physics Education Research, 2023
This study aimed at evaluating how students perceive the linguistic quality and scientific accuracy of ChatGPT responses to physics comprehension questions. A total of 102 first- and second-year physics students were confronted with three questions of progressing difficulty from introductory mechanics (rolling motion, waves, and fluid dynamics).…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
Kuo, Yu-Chen; Chen, Yun-An – Education and Information Technologies, 2023
With the development of science and technology, the demand for programmers has increased. However, learning computer programs is not an easy task. It might cause a significant impact on programming if misconceptions exist at the beginning of the study. Hence, it is important to discover and correct them immediately. Chatbots are effective teaching…
Descriptors: Programming, Artificial Intelligence, Computer Science Education, Misconceptions
Kortemeyer, Gerd – Physical Review Physics Education Research, 2023
Massive pretrained language models have garnered attention and controversy due to their ability to generate humanlike responses: Attention due to their frequent indistinguishability from human-generated phraseology and narratives and controversy due to the fact that their convincingly presented arguments and facts are frequently simply false. Just…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Introductory Courses
Nita, Laurentiu; Mazzoli Smith, Laura; Chancellor, Nicholas; Cramman, Helen – Research in Science & Technological Education, 2023
Background: Knowledge of quantum computing is arguably inaccessible to many, with knowledge of the complex mathematics involving a particular barrier to entry, creating difficulty in terms of teaching and inclusive learning for those without a high level of mathematics. Meanwhile, it is increasingly important that the knowledge of quantum…
Descriptors: Quantum Mechanics, Physics, Science Instruction, Interdisciplinary Approach
W. Russ Algar; Noureddine Elouazizi; Jaclyn J. Stewart; E. Jane Maxwell; Tanya Tan; Zuxing Zhang; Robin Stoodley; José R. Rodríguez Núñez; Andrea S. Terpstra; Jason G. Wickenden – Journal of Chemical Education, 2022
To develop expertise, novice chemistry students require deliberate practice with immediate and thoughtful feedback. Whereas opportunities for practice are often abundant, opportunities for feedback tend to be much scarcer. To address this challenge, we collaborated with students to develop a flexible and scalable online platform called…
Descriptors: Active Learning, Individualized Instruction, Chemistry, Educational Technology
Mphahlele, Amanda; McKenna, Sioux – Assessment & Evaluation in Higher Education, 2019
Plagiarism needs to be addressed to maintain academic standards and to safeguard the integrity of the academic project. With the evolving digital world, conventional methods of addressing plagiarism are gradually being dismissed in favour of new technologies. Unfortunately, there is a general misunderstanding about what such technologies do. This…
Descriptors: Plagiarism, Misconceptions, Higher Education, Public Colleges
Mansy, Mahmoud A.; Eissa Saad, Mourad Ali – International Journal of Psycho-Educational Sciences, 2019
Plagiarism is regarded as the act of "taking credit for or benefitting from somebody else's ideas, words, concepts, formulations, etc. without giving due credit by means of referencing or quoting, and presenting work for personal benefit which does not contain individual authorship (Brown University Writing Centre 2015). In this paper, I will…
Descriptors: Plagiarism, Misconceptions, Citations (References), Periodicals
Mansy, Mahmoud A.; Eissa Saad, Mourad Ali – Online Submission, 2019
Plagiarism is regarded as the act of "taking credit for or benefitting from somebody else's ideas, words, concepts, formulations, etc. without giving due credit by means of referencing or quoting, and presenting work for personal benefit which does not contain individual authorship" (Brown University Writing Centre 2015). In this paper,…
Descriptors: Plagiarism, Misconceptions, Citations (References), Periodicals