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Tsubasa Minematsu; Atsushi Shimada – International Association for Development of the Information Society, 2024
In using large language models (LLMs) for education, such as distractors in multiple-choice questions and learning by teaching, error-containing content is used. Prompt tuning and retraining LLMs are possible ways of having LLMs generate error-containing sentences in the learning content. However, there needs to be more discussion on how to tune…
Descriptors: Educational Technology, Technology Uses in Education, Error Patterns, Sentences
Kylie Anglin – AERA Open, 2024
Given the rapid adoption of machine learning methods by education researchers, and the growing acknowledgment of their inherent risks, there is an urgent need for tailored methodological guidance on how to improve and evaluate the validity of inferences drawn from these methods. Drawing on an integrative literature review and extending a…
Descriptors: Validity, Artificial Intelligence, Models, Best Practices
Hossein Kermani; Alireza Bayat Makou; Amirali Tafreshi; Amir Mohamad Ghodsi; Ali Atashzar; Ali Nojoumi – International Journal of Social Research Methodology, 2024
Despite the increasing adaption of automated text analysis in communication studies, its strengths and weaknesses in framing analysis are so far unknown. Fewer efforts have been made to automatic detection of networked frames. Drawing on the recent developments in this field, we harness a comparative exploration, using Latent Dirichlet Allocation…
Descriptors: COVID-19, Pandemics, Automation, Foreign Countries
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Galafassi, Cristiano; Galafassi, Fabiane Flores Penteado; Vicari, Rosa Maria; Reategui, Eliseo Berni – International Journal of Artificial Intelligence in Education, 2023
This work presents the intelligent tutoring system, EvoLogic, developed to assist students in problems of natural production in propositional logic. EvoLogic has been modeled as a multiagent system composed of three autonomous agents: interface, pedagogical and specialist agents. It supports pedagogical strategies inspired by the theory of…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Models, Teaching Methods
Guimarães, Daniel Menezes; Valério-Gomes, Bruna; de Araújo, Rafael Lames; de Oliveira Cudischevitch, Cecilia; Uziel, Daniela – Anatomical Sciences Education, 2023
Anatomy is the branch discipline focused on studying organisms' physical structures and parts. Although technological advances are broadening the anatomy study, the practices of prosection and dissection of human cadavers and animals remain a primary teaching method. Despite the large body of research supporting its benefits, in some countries,…
Descriptors: Anatomy, Middle School Students, Medical Education, Visual Aids
Chimalakonda, Sridhar; Nori, Kesav V. – Interactive Learning Environments, 2023
Despite rapid advances, modeling a variety of instructional designs to support variations in teaching and learning during the design of educational technologies is still an open challenge. In this paper, we propose a patterns based approach for the design of educational technologies to address this challenge. This is in contrast with existing…
Descriptors: Educational Technology, Instructional Design, Teaching Methods, Adult Literacy
Christiansen, Iben Maj; Corriveau, Claudia; Pettersson, Kerstin – Educational Studies in Mathematics, 2023
Within the commognitive perspective, ritual and explorative routines are used in a very particular way to distinguish students' routines according to whether they are driven by social reward or by generating a substantiated narrative. Explorative routines in this theorisation may refer not to inquiry-based activity but to the result of a student's…
Descriptors: Mathematics Instruction, Teaching Methods, Learning Processes, Discovery Learning
Carpentras, Dino; Quayle, Michael – International Journal of Social Research Methodology, 2023
Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions', 'stubbornness', 'happiness', etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness. Consequently, measurements are usually affected by 'psychometric…
Descriptors: Psychometrics, Error of Measurement, Models, Prediction
Beil, Fabian; Thees, Michael; Kapp, Sebastian; Kuhn, Jochen – Physics Teacher, 2023
In introductory electric circuits in middle school, students often carry strongly held alternative conceptions. Common to many of these is an idea of electric current as some kind of substance that originates from the battery and moves toward electronic components. Learners often argue that current influences those one by one as they are…
Descriptors: Introductory Courses, Electronic Equipment, Middle School Students, Science Instruction
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
Huang, Yan; Pei, Jinhong; Wang, Junmei; Li, Xueqing; Li, Yuna – Biochemistry and Molecular Biology Education, 2023
Biochemistry is an important professional course to undergraduates majoring in rehabilitation therapy in medical colleges and universities. To deepen students' understanding of the taught content, enhance their application ability and cultivate their high-level thinking ability, we investigated the effect of integration of the nine-grid thinking…
Descriptors: Biochemistry, Models, Undergraduate Students, Medical Schools
Rafael Amador-Rodri´guez; Daniel Insuasty; Maximiliano Me´ndez-Lo´pez; Edgar Ma´rquez; Natalia Ospina-Quintero – Journal of Chemical Education, 2023
This research aimed to use students' modeling processes as a means of scientific inquiry. Students constructed models to explain the interactions between felodipine R and S and protein. The approach encouraged active student participation in molecular interaction modeling and offered students a "model-based teaching" experience for…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Models
Egan, John D. – New Directions for Student Leadership, 2022
To advance games as a teaching strategy, leadership educators may benefit from a common understanding of associated terms. However, achieving this purpose is complicated by no agreed upon definition of game and scholarly debate around terms such as gamification. This article explores gaming terms and proposes a framework intended to provide a…
Descriptors: Leadership Training, Teaching Methods, Games, Definitions
Tang, Anne L. L.; Walker-Gleaves, Caroline – Higher Education: The International Journal of Higher Education Research, 2022
This paper addresses university teachers' conceptions and articulation of teacher care as informed by their teaching practice within the Hong Kong university context. The research is predicated upon the perspectives of caring university teachers identified through a systematic process of reputational-case selection, and their narrations analyzed…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Caring

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