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Bryan R. Drost; Char Shryock – Phi Delta Kappan, 2025
Creating assessment questions aligned to standards is a time-consuming task for teachers, but large language models such as ChatGPT can help. Bryan Drost & Char Shryock describe a three-step process for using ChatGPT to create assessments: 1) Ask ChatGPT to break standards into measurable targets. 2) Determine how much time to spend on each…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Anthemis Raptopoulou – European Journal of Education, 2025
Recent advancements in Artificial Intelligence (AI), particularly AI chatbots like ChatGPT, have sparked significant discussions in higher education regarding their impact on teaching and academic integrity. This study examines the integration of ChatGPT into a philosophy of education course for first-year Education students at a Swedish…
Descriptors: Artificial Intelligence, Computer Software, Undergraduate Students, Literacy Education
Novak, Matija; Joy, Mike; Kermek, Dragutin – ACM Transactions on Computing Education, 2019
Teachers deal with plagiarism on a regular basis, so they try to prevent and detect plagiarism, a task that is complicated by the large size of some classes. Students who cheat often try to hide their plagiarism (obfuscate), and many different similarity detection engines (often called plagiarism detection tools) have been built to help teachers.…
Descriptors: Plagiarism, Computer Software, Computer Software Evaluation, College Students
Sevilmis, Ali; Yildiz, Özer – International Journal of Progressive Education, 2021
Reliability that can be proved by numeric indicators in quantitative studies has become a very discussible issue. The reason for this is to be thought that in qualitative researches, reliability is not based on positive perspective and those forming reliability criteria is difficult. However, for testing the reliability of a qualitative study or…
Descriptors: Interrater Reliability, Qualitative Research, Educational Research, Physical Education
Oleson, Alannah; Wortzman, Brett; Ko, Amy J. – ACM Transactions on Computing Education, 2021
Design is a distinct discipline with its own practices, tools, professions, and areas of scholarship. However, practitioners from other fields often leverage aspects of design in their own work, leading to subfields like engineering design and architecture design that are neither wholly design nor wholly the intersecting discipline. Similarly,…
Descriptors: Elementary Secondary Education, Computer Science Education, Design, Role
Sauerheber, Richard; Muñoz, Brandon; McCallum, Kalvin – International Journal of Mathematical Education in Science and Technology, 2021
Graphical analysis of the relationships between pairs of integrals and their corresponding derivatives resulted in the development of a procedure one may describe as 'pictorial integration'. The arctangent of the derivative of various functions was analysed to confirm that this accurately reports the magnitude of angles made by integral functions…
Descriptors: Calculus, Mathematics Instruction, Pictorial Stimuli, Graphs
Berg, Arthur – Teaching Statistics: An International Journal for Teachers, 2021
The topic of Bayesian updating is explored using standard and non-standard dice as an intuitive and motivating model. Details of calculating posterior probabilities for a discrete distribution are provided, offering a different view to P-values. This article also includes the stars and bars counting technique, a powerful method of counting that is…
Descriptors: Bayesian Statistics, Teaching Methods, Statistics Education, Intuition
Tomek, Sara; Robinson, Cecil – Measurement: Interdisciplinary Research and Perspectives, 2021
Typical longitudinal growth models assume constant functional growth over time. However, there are often conditions where trajectories may not be constant over time. For example, trajectories of psychological behaviors may vary based on a participant's age, or conversely, participants may experience an intervention that causes trajectories to…
Descriptors: Growth Models, Statistical Analysis, Hierarchical Linear Modeling, Computation
Zhang, Haoran; Litman, Diane – Grantee Submission, 2021
Human essay grading is a laborious task that can consume much time and effort. Automated Essay Scoring (AES) has thus been proposed as a fast and effective solution to the problem of grading student writing at scale. However, because AES typically uses supervised machine learning, a human-graded essay corpus is still required to train the AES…
Descriptors: Essays, Grading, Writing Evaluation, Computational Linguistics
Leipzig, Jeremy – ProQuest LLC, 2021
Purpose: The purpose of this dissertation is to investigate the feasibility of using tests of robustness in peer review. This study involved selecting three high-impact papers which featured open data and utilized bioinformatic analyses but provided no source code and refactoring these to allow external survey participants to swap tools,…
Descriptors: Robustness (Statistics), Peer Evaluation, Data Analysis, Computer Software
Keith Devlin – ZDM: Mathematics Education, 2021
The paper describes an implementation of research done over several years, by me and in some cases others, at Stanford University and elsewhere. The implementation comprised the design, building, testing, and marketing of a digital educational technology platform to provide a supplementary tool for explorative mathematics learning and assessment.
Descriptors: Mathematics Instruction, Teaching Methods, Educational Technology, Marketing
Tomczyk, Lukasz; Fedeli, Laura; Wloch, Anna; Limone, Pierpaolo; Frania, Monika; Guarini, Piergiorgio; Szyszka, Michal; Mascia, Maria Lidia; Falkowska, Joanna – Technology, Knowledge and Learning, 2023
The aim of this research was to compare the level of digital competence of future pedagogical staff (students of pedagogical faculties) in Italy and Poland. The research was conducted using original measurement tools and knowledge tests. The triangulation of techniques and research tools made possible the determination of the level of knowledge of…
Descriptors: Foreign Countries, Preservice Teachers, Technological Literacy, Computer Software
Akdur, Deniz – ACM Transactions on Computing Education, 2023
Many practitioners might struggle with becoming productive in different software engineering (SE) roles due to misalignment of the skills learnt during the university time with what is expected in the industry. Companies spend significant resources to train the personnel, whose academic backgrounds are not only based on "computing…
Descriptors: Computer Software, Computer Science Education, Skill Development, Employment Potential
Parhusip, Hanna A.; Purnomo, Hindriyanto D.; Nugroho, Didit B.; Kawuryan, Istiarsi S. S. – International Journal for Technology in Mathematics Education, 2023
This paper explains teaching modern geometry for schools using software called Surfer and converting the algebraic surfaces into Batik motifs as one example of teaching mathematics with the integration of STEAM. Typical algebraic surfaces known in schools were, for example, cylinders and spheres which are identified as traditional geometry in this…
Descriptors: STEM Education, Art Education, Mathematics Instruction, Geometry
Bülbül, Buket Özüm; Güler, Mustafa – E-Learning and Digital Media, 2023
Geometric habits of mind (GHoM) are the approaches that individuals use to solve geometry problems. This study aimed to determine the effect of dynamic geometry software (DGS) in activating the GHoM of pre-service mathematics teachers. The study was conducted with six teacher candidates who were enrolled in a semester-long course titled…
Descriptors: Cognitive Processes, Problem Solving, Geometry, Computer Software