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Andrew Olewnik; Randy Yerrick; Mike Eastman – European Journal of Engineering Education, 2024
This study explores students' initial engagement with ill-structured problems before and after the introduction of engineering problem typology as a framework for problem engagement and reflection. Using problem discussions, debrief interviews, and qualitative analysis of written artifacts, we considered observed changes to students' initial…
Descriptors: Undergraduate Students, Engineering Education, Problem Solving, Classification
Anna Khalemsky; Roy Gelbard; Yelena Stukalin – Journal of Statistics and Data Science Education, 2025
Classification, a fundamental data analytics task, has widespread applications across various academic disciplines, such as marketing, finance, sociology, psychology, education, and public health. Its versatility enables researchers to explore diverse research questions and extract valuable insights from data. Therefore, it is crucial to extend…
Descriptors: Classification, Undergraduate Students, Undergraduate Study, Data Science
Anette Kolmos; Jette Egelund Holgaard; Henrik Worm Routhe; Maiken Winther; Lykke Bertel – European Journal of Engineering Education, 2024
Problem- and project-based learning (PBL) is often highlighted as a valuable approach for addressing the need for interdisciplinarity in engineering education. However, studies indicate that applied projects in engineering education tend to be limited to a single discipline. This article presents a new project typology which can be applied in…
Descriptors: Student Projects, Interdisciplinary Approach, Teamwork, Active Learning
Jonathan Liu; Seth Poulsen; Erica Goodwin; Hongxuan Chen; Grace Williams; Yael Gertner; Diana Franklin – ACM Transactions on Computing Education, 2025
Algorithm design is a vital skill developed in most undergraduate Computer Science (CS) programs, but few research studies focus on pedagogy related to algorithms coursework. To understand the work that has been done in the area, we present a systematic survey and literature review of CS Education studies. We search for research that is both…
Descriptors: Teaching Methods, Algorithms, Design, Computer Science Education
Valentin A. B. Küchle; John P. Smith III; Jihye Hwang; Reshma Menon – International Journal of Mathematical Education in Science and Technology, 2025
'Group work' is a vague description of an instructional activity, because many factors shape its character and effect on students. One important factor is group formation, that is, how groups are formed by the instructor. In this paper, we sought to better understand the variation of group work with respect to group formation by addressing: How do…
Descriptors: College Faculty, Mathematics Teachers, Mathematics Instruction, Teaching Methods
Habre, Samer S. – International Journal of Mathematical Education in Science and Technology, 2023
In spring 2018, an inquiry-oriented differential equations course was offered at the Lebanese American University. This paper highlights students' comprehension of some qualitative aspects of differential equations, namely their understanding of the equations and their solutions. It also explores the students' success in moving between the…
Descriptors: Mathematics Instruction, Teaching Methods, Classification, Mathematical Concepts
Saba Gerami – ProQuest LLC, 2024
In this dissertation I explore instructors' work with instructional tasks as they plan to introduce various representations of derivatives. Drawing on the notion of "framing" from sociology, I adopt a situative lens to study calculus instructors' planning of instructional tasks. I rely on Herbst and Chazan's (2012) notion of…
Descriptors: Calculus, Mathematics Teachers, Mathematics Instruction, Teaching Methods
Qing Wang; Xizhen Cai – Journal of Statistics and Data Science Education, 2024
Support vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the maximum likelihood method, its algorithm depends on an optimization problem under constraints, which is…
Descriptors: Active Learning, Class Activities, Classification, Artificial Intelligence
Gülfem Gürses; Aysenur I?nceelli – Turkish Online Journal of Educational Technology - TOJET, 2024
ICAP is a framework that classifies learning processes based on students' explicit behaviors. The framework is developed for testing the hypothesis that interactive exercises are better than constructive exercises, and active exercises are better than the passive exercises for higher cognitive engagement and better learning outcomes. The ICAP…
Descriptors: Learning Processes, Learning Theories, Classification, Active Learning
Cock, Jade; Marras, Mirko; Giang, Christian; Käser, Tanja – International Educational Data Mining Society, 2021
Interactive simulations allow students to independently explore scientific phenomena and ideally infer the underlying principles through their exploration. Effectively using such environments is challenging for many students and therefore, adaptive guidance has the potential to improve student learning. Providing effective support is, however,…
Descriptors: Prediction, Concept Formation, Scientific Concepts, Physics
Marzocchi, Alison S.; Soto, Roberto C. – International Journal of Research in Undergraduate Mathematics Education, 2023
Active learning is becoming more widely accepted in mathematics as a superior teaching method for student learning and, as a result, faculty are increasingly convinced of the benefits. Our study was designed to close a research gap by determining how to support mathematics faculty in transforming their instruction to active learning. We…
Descriptors: Active Learning, Teaching Methods, Mathematics Teachers, Mathematics Instruction
Higuera-Martínez, Oscar Iván; Corazza, Giovanni Emanuele; Fernández-Samacá, Liliana – European Journal of Engineering Education, 2022
This article presents how Problem- and Project-Based Learning (PBL) in engineering education can exploit the theoretical framework of the Space-Time (ST)-Continuum, according to which educational contexts can be classified in terms of the tightness vs. looseness of the relevant conceptual space S and available time T. By crossing these two…
Descriptors: Problem Based Learning, Engineering Education, Teaching Methods, Intervention
Trechsel, Lilian Julia; Diebold, Clara Léonie; Zimmermann, Anne Barbara; Fischer, Manuel – International Journal of Sustainability in Higher Education, 2023
Purpose: This study aims to explore how the boundary between science and society can be addressed to support the transformation of higher education towards sustainable development (HESD) in the sense of the whole institution approach. It analyses students' learning experiences in self-led sustainability projects conducted outside formal curricula…
Descriptors: Science and Society, Transformative Learning, Trust (Psychology), Learning Experience
Khalaf, Bilal Khalid; Zin, Zuhana Mohamed; Al-Abbas, Linda S. – International Journal of Instruction, 2022
Educational societies encountered rapid development in all fields of knowledge, assisted by the invention of new technologies and development of linguistic systems. Over time, researchers contribute to design well known instructional models such as traditional-based and inquiry-based models. However, the previous literature investigations showed…
Descriptors: Cognitive Development, Instructional Design, Models, Inquiry
Ovid, Dax; Rice, Mallory M.; Luna, Joshua Vargas; Tabayoyong, Karen; Lajevardi, Parinaz; Tanner, Kimberly D. – CBE - Life Sciences Education, 2021
Instructor Talk--the noncontent language used by an instructor during class time--is likely to influence learning environments in science classrooms from the student perspective. Despite Instructor Talk being found in every science course thus far, investigations into student perceptions and memories of it are limited. We investigated to what…
Descriptors: Teacher Student Relationship, Language Usage, Classroom Communication, Science Instruction

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