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Renske Weeda; Sjaak Smetsers; Erik Barendsen – Computer Science Education, 2024
Background and Context: Multiple studies report that experienced instructors lack consensus on the difficulty of programming tasks for novices. However, adequately gauging task difficulty is needed for alignment: to select and structure tasks in order to assess what students can and cannot do. Objective: The aim of this study was to examine…
Descriptors: Novices, Coding, Programming, Computer Science Education
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Chuting Lu; Yating Liu; Shaorui Xu; Shaona Zhou; Heather Mei; Xiangqun Zhang; Lan Yang; Lei Bao – Physical Review Physics Education Research, 2023
In this study, a conceptual framework of measurement uncertainty was developed and used to guide the development of a multiple-choice concept test for the assessment of students' knowledge integration in learning measurement uncertainty. Based on assessment data and interview results, students were identified into three levels of knowledge…
Descriptors: Measurement, Multiple Choice Tests, Thinking Skills, Novices
Tricia J. Ngoon – ProQuest LLC, 2021
Broad exploration is often the best way to solve complex problems because the best solution might not come to mind first. Consequently, creative thinking, like simulated annealing, begins with a "hot" exploratory phase of broad solution search and gradually "cools" to exploitation and narrowing the search space. In solving…
Descriptors: Creative Thinking, Problem Solving, Cognitive Processes, Discovery Learning
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Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2017
Understanding the students' programming misconceptions is critical in that it identifies the reasons why students make errors in programming and allows instructors to design instructions accordingly. This study investigated the mental models of programming concepts held by pre-service teachers who were novice programmers. In an introductory…
Descriptors: Programming, Novices, Misconceptions, Instructional Design
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Buckley, Jeffrey; Seery, Niall; Canty, Donal – International Journal of Technology and Design Education, 2018
Design activities typically involve and culminate in the creation of models representative of new ideas and conceptions. The format is often dictated by the specific discipline, with ideas in design and technology education regularly being externalised through the use of computer aided design (CAD). This paper focusses on the realisation stage of…
Descriptors: Heuristics, Design, Technology Education, Teaching Methods
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Gogus, Aytac – Educational Technology Research and Development, 2013
Cognitive scientists investigate mental models (how humans organize and structure knowledge in their minds) so as to understand human understanding of and interactions with the world. Cognitive and mental model research is concerned with internal conceptual systems that are not easily or directly observable. The goal of this research was to…
Descriptors: Computer Assisted Testing, Computer Software Evaluation, College Students, Comparative Analysis
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Gogus, Aytac; Koszalka, Tiffany A.; Spector, J. Michael – Technology, Instruction, Cognition and Learning, 2009
This paper presents research findings related to the "Dynamic Enhanced Evaluation of Problem Solving (DEEP)" (Spector & Koszalka, 2004) methodology for assessing how participants conceptualize ill-defined problems in biology using annotated concept maps. The methodology engages highly experienced (expert) and less experienced…
Descriptors: Problems, Biology, Concept Mapping, Individual Differences