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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
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
Jionghao Lin; Wei Tan; Lan Du; Wray Buntine; David Lang; Dragan Gasevic; Guanliang Chen – IEEE Transactions on Learning Technologies, 2024
Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…
Descriptors: Classification, Dialogs (Language), Teaching Methods, Computer Assisted Instruction
Mikko Kokkoniemi; Ville Isomöttönen – Informatics in Education, 2025
This study builds on a recent systematic mapping of computing education literature by conducting an in-depth qualitative analysis of selected studies on group work in Project-Based Learning (PjBL), published between 2010 and 2021. We examined how prominent theoretical frameworks are used in this context. We found that frameworks were often applied…
Descriptors: Computer Science Education, Instructional Design, Teaching Methods, Student Projects
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
Plummer, Julia D.; Crowl, Michele M.; Tanis Ozcelik, Arzu – Research in Science Education, 2021
Informal science educators' (ISEs) work with young children has received limited attention in the literature. We investigated ISEs' goals for preschool-aged audiences (3- to 5-year-old children), methods they describe for achieving these goals, and how ISEs understand young children as "doing science" in their venues. We interviewed 35…
Descriptors: Informal Education, Science Education, Science Teachers, Preschool Teachers
Sung, Shannon H.; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Xie, Charles; Massicotte, Joyce; Shen, Ji – Journal of Science Education and Technology, 2021
In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…
Descriptors: Observation, Artificial Intelligence, Knowledge Representation, Grade 9
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
Cyvin, Jakob Bonnevie; Midtaune, Kristiane; Rød, Jan Ketil – Cogent Education, 2022
Field course is an important learning activity for students in disciplines like geography and biology. Unfortunately, lack of resources, large student groups, and unprepared students can result in students being passive rather than active during field course preparation. This article reports from a learning intervention where the use of StoryMaps…
Descriptors: Learning Activities, Geography Instruction, Intervention, Teaching Methods
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

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