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Showing 1 to 15 of 238 results Save | Export
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Joachim Schwarz – Teaching Statistics: An International Journal for Teachers, 2025
This study explores the use of generative AI, specifically ChatGPT, in statistical data analysis and its implications for statistics education at universities of applied sciences. This paper begins with first discussing the future division of labor between humans and machines in the context of statistical data analyses following the widespread…
Descriptors: Statistics Education, Artificial Intelligence, Computer Software, Teaching Methods
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Ubilla, Francisca M.; Vásquez, Claudia; Rojas, Francisco; Gorgorió, Núria – Statistics Education Research Journal, 2021
We consider the ability to complete an investigative cycle as an indicator of the robustness of students' statistical knowledge. From this standpoint, we analyzed the written reports of primary education student teachers when they developed an investigative cycle in a Chilean and a Spanish university. In their development of the stages of the…
Descriptors: Foreign Countries, Teacher Education Programs, Elementary School Teachers, Statistics Education
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Veri, Francesco – Sociological Methods & Research, 2023
This article aims to clarify fundamental aspects of the process of assigning fuzzy scores to conditions based on family resemblance (FR) structures by considering prototype and set theories. Prototype theory and set theory consider FR structures from two different angles. Specifically, set theory links the conceptualization of FR to the idea of…
Descriptors: Evaluation Methods, Theories, Concept Formation, Models
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Tamar Fuhrmann; Leah Rosenbaum; Aditi Wagh; Adelmo Eloy; Jacob Wolf; Paulo Blikstein; Michelle Wilkerson – Science Education, 2025
When learning about scientific phenomena, students are expected to "mechanistically" explain how underlying interactions produce the observable phenomenon and "conceptually" connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing…
Descriptors: Mechanics (Physics), Thinking Skills, Scientific Concepts, Concept Formation
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Ricardo J. Ferna´ndez-Tera´n; Estefani´a Sucre-Rosales; Lorenzo Echevarria; Florencio E. Hernández – Journal of Chemical Education, 2022
We present a detailed yet easy-to-follow discussion of the mathematical treatment of time-resolved spectroscopic data in a model-based approach. This is accompanied and complemented by an example of a colorful and pedagogically rich chemical reaction: the permanganate oxidation of sugars in basic aqueous media (often known as the chameleon…
Descriptors: Spectroscopy, Chemistry, Science Instruction, Mathematics
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Hardiyanti Pratiwi; Suherman; Hasruddin; Muhammad Ridha – European Journal of Education, 2025
Artificial intelligence (AI) has emerged as a transformative tool in academic writing, leveraging advanced algorithms and natural language processing to significantly improve efficiency, quality and productivity. This study investigates the use of AI tools among Indonesian doctoral students, with a particular focus on ethical standards and their…
Descriptors: Doctoral Students, Technology Uses in Education, Artificial Intelligence, Writing (Composition)
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Karel Kok; Burkhard Priemer – Physical Review Physics Education Research, 2023
Students at all levels of education experience difficulties with the concepts of measurement uncertainties. One task that includes concepts of measurement uncertainties is a data comparison problem where students decide whether two datasets are in agreement or not--an authentic scientific practice. To aid students with these concepts and tasks,…
Descriptors: Data Analysis, Comparative Analysis, Secondary School Students, Teaching Methods
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Pereira, Filipe D.; Oliveira, Elaine H. T.; Oliveira, David B. F.; Cristea, Alexandra I.; Carvalho, Leandro S. G.; Fonseca, Samuel C.; Toda, Armando; Isotani, Seiji – British Journal of Educational Technology, 2020
Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…
Descriptors: Introductory Courses, Programming, Outcomes of Education, Student Behavior
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Arnold, Julia C.; Mühling, Andreas; Kremer, Kerstin – Research in Science & Technological Education, 2023
Background: Scientific thinking is an essential learning goal of science education and it can be fostered by inquiry learning. One important prerequisite for scientific thinking is procedural understanding. Procedural understanding is the knowledge about specific steps in scientific inquiry (e.g. formulating hypotheses, measuring dependent and…
Descriptors: Science Process Skills, Inquiry, Active Learning, Science Education
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Marcus Kubsch – Journal of Research in Science Teaching, 2024
Energy is a central concept across the sciences and an important goal of science education is to support all students so that they develop a full understanding of the energy concept. However, given the abstract and complex nature of the energy concept, only a few students develop an understanding so that they can use energy ideas to make sense of…
Descriptors: Data Analysis, Grade 6, Grade 7, Grade 8
Shute, Valerie; Rahimi, Seyedahmad; Smith, Ginny – Grantee Submission, 2019
Well-designed digital games hold promise as effective learning environments. However, designing games that support both learning and engagement without disrupting flow is quite tricky. In addition to including various game design features (e.g., interactive problem solving, adaptive challenges, and player control of gameplay) to engage players,…
Descriptors: Physics, Science Instruction, Educational Games, Educational Technology
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Duedahl-Olesen, Lene; Holmfred, Else; Niklas, Agnieszka Anna; Nielsen, Ida Kallehauge; Sloth, Jens Jørgen – Journal of Chemical Education, 2021
For food research, control, and production, valid and trustworthy analytical data are important. Our practical chemical food safety course for engineers therefore uses real-life studies for the ease of understanding the concept and the needed requirements for high analytical quality in relation to enabling correct evaluation of chemical food…
Descriptors: Active Learning, Case Method (Teaching Technique), Quality Assurance, Food Standards
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Fürst, Guillaume – Journal of Creative Behavior, 2020
This paper introduces a method for the assessment of creativity that relies on creativity tasks, a subjective evaluation procedure, and a planned missing data design that offers a drastic reduction in the overall implementation costs (administration time and scoring procedure). This method was tested on a sample of 149 people, using three…
Descriptors: Creativity, Creativity Tests, Task Analysis, Creative Thinking
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Koretsky, Milo – Chemical Engineering Education, 2018
This profile describes the AIChE Concept Warehouse (CW) website, a community developed, web-based tool to decrease instructional barriers and to help faculty implement concept-based active learning in class. The CW provides three distinct but complementary functions: (a) a content repository, (b) an audience response system and learning management…
Descriptors: Active Learning, Web Sites, Concept Formation, Audience Response Systems
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Muhammet Mustafa Alpaslan; Bugrahan Yalvac – Journal of Problem Based Learning in Higher Education, 2023
Climate change put most species' survival in danger because it substantially affects the climate in which the species live, the quality of the water they drink, as well as the temperature of the air or water. When climate change increases the temperature of the climate, excessive evaporation occurs in lands, lakes, seas, and oceans. Our purpose in…
Descriptors: Problem Based Learning, Teaching Methods, Mathematics Instruction, Mathematical Models
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