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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
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
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
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
PaaBen, Benjamin; Bertsch, Andreas; Langer-Fischer, Katharina; Rüdian, Sylvio; Wang, Xia; Sinha, Rupali; Kuzilek, Jakub; Britsch, Stefan; Pinkwart, Niels – International Educational Data Mining Society, 2021
Many modern anatomy curricula teach histology using virtual microscopes, where students inspect tissue slices in a computer program (e.g. a web browser). However, the educational data mining (EDM) potential of these virtual microscopes remains under-utilized. In this paper, we use EDM techniques to investigate three research questions on a virtual…
Descriptors: Anatomy, Science Instruction, Computer Simulation, Computer Software
Susana A. Eisenchlas; Kelly Shoecraft – Student Success, 2024
This practice report describes a 12-week stand-alone course designed to address the challenges university students face in foreign language classes. Adopting principles of transformative language learning, course content, activities and resources were designed and implemented to dispel myths and preconceptions regarding language instruction,…
Descriptors: Transformative Learning, Social Emotional Learning, Second Language Learning, Second Language Instruction
Demir, Ümit – Pedagogies: An International Journal, 2020
This research was conducted to determine the effects of the using negative knowledge-based Intelligent Teaching System (ITS) evaluator software in the assessment and evaluation processes of English Teaching as a Foreign language. Experimental design with the pretest-posttest control group was used in this study. The study group consists of 67…
Descriptors: Misconceptions, Intelligent Tutoring Systems, Computer Software, Vocational Education
Çakiroglu, Ünal; Öngöz, Sakine – Education and Information Technologies, 2017
This study attempted to examine students' experiences on collaborative work with peer tutoring in projects. The study also focused impact of peer tutoring on remedying misconceptions. The study was conducted in the context of an operating system course in which 30 pre-service ICT teachers are the participants. Data were gathered from pre-tests,…
Descriptors: Peer Teaching, Tutoring, Program Effectiveness, Misconceptions