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Vázquez-Bernal, Bartolomé; Jiménez-Pérez, Roque – Science & Education, 2023
The objective of this work was the theoretical modeling of a construct based on teaching practice about the perception that pupils have of difficulties in problem solving (PS) in experimental sciences, specifically physics, to predict pupil performance in PS. The research was carried out with an incidental sample of second year of secondary…
Descriptors: Teaching Methods, Models, Teacher Attitudes, Science Instruction
Toukiloglou, Pavlos; Xinogalos, Stelios – Journal of Educational Computing Research, 2023
Serious games are a growing field in academic research and they are considered an effective tool for education. Game-based learning invokes motivation and engagement in students resulting in effective instructional outcomes. An essential aspect of a serious game is the method of support for presenting the teaching material and providing feedback.…
Descriptors: Educational Games, Programming, Sequential Learning, Cognitive Processes
Citrohn, Björn; Stolpe, Karin; Svensson, Maria – International Journal of Technology and Design Education, 2023
In this study, we aim to investigate activities using models in a design project in three technology classrooms. Activities that use models are important for students' development of knowledge and skills connected to the design process. Nevertheless, few empirical studies have thus far examined how models and modelling are used in a classroom…
Descriptors: Models, Design, Technology Education, Secondary School Students
Julius Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Instructional Science: An International Journal of the Learning Sciences, 2024
Self-explanation prompts in example-based learning are usually directed backwards: Learners are required to self-explain problem-solving steps just presented ("retrospective" prompts). However, it might also help to self-explain upcoming steps ("anticipatory" prompts). The effects of the prompt type may differ for learners with…
Descriptors: Problem Based Learning, Problem Solving, Prompting, Models
Lange, Christopher; Gorbunova, Anna; Shcheglova, Irina; Costley, Jamie – Innovations in Education and Teaching International, 2023
Research often examines cognitive load as it relates to direct instruction, worked examples and problem-solving combined as an integrated whole. The present study examines these strategies in isolation to see their effect on cognitive load. Using learning materials covering the basics of critical thinking to undergraduate law students (n = 160) at…
Descriptors: Direct Instruction, Problem Solving, Educational Strategies, Cognitive Processes
Sakon Tangkawsakul; Weerawat Thaikam; Songchai Ugsonkid – Journal of Education and Learning, 2024
Real-world mathematical problem (RWMP) solving and posing are important aspects of teaching and learning mathematical modelling, as well as developing a mathematization disposition for both teachers and students. Several researchers have explored blockages or difficulties in such modelling processes and in problem posing. However, prior research…
Descriptors: Foreign Countries, Preservice Teachers, Mathematics Instruction, Problem Solving
Camille Lund – Mathematics Teacher: Learning and Teaching PK-12, 2024
Every educator knows the sinking feeling of a lesson gone wrong. As teachers look around the room and realize that many of their students are just not getting it, they often feel like failures. However, the struggle students experience as they persevere through high-quality challenging tasks is not a sign of failure, but rather a key aspect of…
Descriptors: Mathematics Instruction, Difficulty Level, Mathematics Skills, Teaching Methods
Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
Hoogerheide, Vincent; Roelle, Julian – Applied Cognitive Psychology, 2020
Decades of research has shown that example-based learning is an effective instructional strategy for learning new skills. The field of learning from examples is seeing a shift in focus towards more innovative and use-inspired research, in part because the use of examples for informal and formal learning purposes has mushroomed. This special issue…
Descriptors: Observational Learning, Problem Solving, Cognitive Processes, Difficulty Level
Bima Sapkota; Liza Bondurant – International Journal of Technology in Education, 2024
In November 2022, ChatGPT, an Artificial Intelligence (AI) large language model (LLM) capable of generating human-like responses, was launched. ChatGPT has a variety of promising applications in education, such as using it as thought-partner in generating curricular resources. However, scholars also recognize that the use of ChatGPT raises…
Descriptors: Cognitive Processes, Difficulty Level, Artificial Intelligence, Natural Language Processing
Özdemir, Erdogan; Coramik, Mustafa – Physics Education, 2022
It is often necessary to enrich the teaching environment in order for students to learn optics in depth and to interpret the real optical situations with the information they have learned. In this study, a virtual teaching environment was developed using by Algodoo, a 2D simulation software. An eye model was created in order to explain the…
Descriptors: Light, Physics, Teaching Methods, Models
Reit, Xenia-Rosemarie; Schäfer, Marc – Journal on Mathematics Education, 2020
It remains a challenge for teachers to integrate modeling tasks in everyday mathematics classes. Many studies have been conducted that show the difficulties faced by teachers. One of the challenging aspects in this regard is that of assessment. In the present study, a connection between structures of learners' solution strategies and cognitive…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematical Models, Problem Solving
Tim Jacobbe; Bob delMas; Brad Hartlaub; Jeff Haberstroh; Catherine Case; Steven Foti; Douglas Whitaker – Numeracy, 2023
The development of assessments as part of the funded LOCUS project is described. The assessments measure students' conceptual understanding of statistics as outlined in the GAISE PreK-12 Framework. Results are reported from a large-scale administration to 3,430 students in grades 6 through 12 in the United States. Items were designed to assess…
Descriptors: Statistics Education, Common Core State Standards, Student Evaluation, Elementary School Students
Sentz, Justin; Stefaniak, Jill – TechTrends: Linking Research and Practice to Improve Learning, 2019
Research focusing on the complexities faced by instructional designers have called for pedagogical strategies to equip instructional designers with the ability to problem solve and make decisions. One of the most widely studied strategies for managing cognitive load is the use of worked examples, which provides an alternative to traditional…
Descriptors: Instructional Design, Problem Solving, Decision Making, Cognitive Processes
Werner, Linnette R. L.; Hellstrom, David – Journal of Leadership Education, 2020
Several models of leadership outline theories on successful intervention such as "Observe, Interpret, and Intervene" within the Adaptive Leadership model (Heifetz, Grashow, & Linsky, 2009) or the "Five Practices" within Kouzes & Posner's (2012) work. However, during stressful moments of leadership practice, many models…
Descriptors: Problem Solving, Leadership, Models, Theory Practice Relationship