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Moon, Hyunchang; Cheon, Jongphil; Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2022
To help novice learners overcome the obstacles of learning computational thinking (CT) through programming, it is vital to identify difficult CT components. This study aimed to determine the computational concepts and practices that learners may have difficulties acquiring and discuss how programming instructions should be designed to facilitate…
Descriptors: Difficulty Level, Computation, Thinking Skills, Programming
Jin, Hao-Yue; Cutumisu, Maria – Education and Information Technologies, 2023
Computational thinking (CT) skills of pre-service teachers have been explored extensively, but the effectiveness of CT training has yielded mixed results in previous studies. Thus, it is necessary to identify patterns in the relationships between predictors of CT and CT skills to further support CT development. This study developed an online CT…
Descriptors: Preservice Teachers, Computation, Thinking Skills, Predictor Variables
Qi Lang; Shengjing Tian; Mo Wang; Jianan Wang – IEEE Transactions on Learning Technologies, 2024
Entrepreneurship education is critical in encouraging students' innovation, creativity, and entrepreneurial spirit. It provides essential skills and knowledge, enabling them to open their creative potential and apply innovative thinking across diverse professional fields. With the widespread application of large language models in education,…
Descriptors: Entrepreneurship, Business Administration Education, Artificial Intelligence, Creativity
Toney, Allison F.; Boul, Stephen D. – PRIMUS, 2022
Based on our work teaching undergraduate Calculus courses, we offer insight into teaching the chain rule to reduce cognitive load for students. A particularly difficult topic for students to grasp, problems likely arise due to student struggles with the concept of function and, particularly, function composition relative to when they first…
Descriptors: College Mathematics, Undergraduate Study, Mathematics Instruction, Difficulty Level
Frede, Christiane; Knobelsdorf, Maria – Computer Science Education, 2021
Background and Context: Considerable numbers of Computer science (CS) undergraduate majors struggle in Theory of Computation (ToC) courses, which strengthen bimodality beliefs of student performance. Reasons for students struggling are assumed to be manifold but substantial ground is based on studies providing singular insights into this matter.…
Descriptors: Computer Science Education, Academic Achievement, Introductory Courses, Computation
Xuanyan Zhong; Zehui Zhan – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming, Independent Study
Arican, Muhammet; Özçakir, Bilal – Education and Information Technologies, 2021
The literature reports preservice teachers' overuse of proportionality when solving geometric similarity problems with nonproportional relationships. Changing this type of error is reported as difficult even after applying certain interventions. As a solution to this type of error, this study used augmented reality activities to facilitate the…
Descriptors: Preservice Teachers, Mathematics Skills, Thinking Skills, Problem Solving
Tatira, Benjamin – EURASIA Journal of Mathematics, Science and Technology Education, 2021
Undergraduate students study the topic of binomial series expansion as part of their Calculus course. The purpose of this study was to explore the mental constructions of binomial series expansion of a class of 159 students. Data were collected through a written assessment task by each member of the class. A convenient sample of eleven students…
Descriptors: Undergraduate Students, Mathematics Education, Cognitive Processes, Cognitive Structures
Rodríguez-Nieto, Camilo Andrés; Font, Vicenç; Rodríguez-Vásquez, Flor Monserrat; Pino-Fan, Luis Roberto – Journal on Mathematics Education, 2023
An onto-semiotic analysis of the mathematical connections established by one in-service mathematics teachers and university students when solving a problem about launching a projectile using the derivative was carried out. Theoretically, this research was based on the articulation between the Extended Theory of Mathematical Connections and the…
Descriptors: Mathematics Instruction, Semiotics, Teaching Methods, Task Analysis
Carruthers, Sarah; Stege, Ulrike; Masson, Michael E. J. – Journal of Problem Solving, 2018
The role that the mental, or internal, representation plays when people are solving hard computational problems has largely been overlooked to date, despite the reality that this internal representation drives problem solving. In this work we investigate how performance on versions of two hard computational problems differs based on what internal…
Descriptors: Problem Solving, Goal Orientation, Computation, Difficulty Level
Wang, Qian; Ding, Yi; Yu, Qiong – Journal of Engineering Education, 2018
Background: The overarching goal of this study was to explore the underlying mechanism of solving statics or structural analysis problems by utilizing cognitive load theory to examine task characteristics (i.e., the characteristics of instructional materials) with a focus on working memory load (WML) and automaticity. Purpose/Hypothesis: According…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Computation
Massolt, Joost; Borowski, Andreas – International Journal of Science Education, 2020
Pre-service physics teachers often do not recognise the relevance for their future career in their university content knowledge courses. A lower perceived relevance can, however, have a negative effect on their motivation and on their academic success. Several intervention studies have been undertaken with the goal to increase this perceived…
Descriptors: Physics, Preservice Teachers, Relevance (Education), Science Teachers
Aminger, Walter; Hough, Sarah; Roberts, Sarah A.; Meier, Valerie; Spina, Alexis D.; Pajela, Hani; McLean, Mandy; Bianchini, Julie A. – Journal of Science Teacher Education, 2021
We investigated six preservice secondary science teachers' implementation of reform-based science, in particular, their teaching of the "Next Generation Science Standards' (NGSS)" science and engineering practice of "using mathematics and computational thinking." A modified version of the Task Analysis Guide in Science served…
Descriptors: Preservice Teachers, Secondary School Teachers, Science Teachers, Science Instruction
Ostermann, Andreas; Leuders, Timo; Nückles, Matthias – Journal of Mathematics Teacher Education, 2018
To teach adaptively, teachers should be able to take the students' level of knowledge into account. Therefore, a key component of pedagogical content knowledge (PCK) is the ability to assume the students' perspectives. However, due to the so-called expert blind spot, teachers tend to misestimate their students' knowledge, such as when estimating…
Descriptors: Difficulty Level, Preservice Teachers, Mathematics, Graphs
Gal-Ezer, Judith; Trakhtenbrot, Mark – Computer Science Education, 2016
Reduction is one of the key techniques used for problem-solving in computer science. In particular, in the theory of computation and complexity (TCC), mapping and polynomial reductions are used for analysis of decidability and computational complexity of problems, including the core concept of NP-completeness. Reduction is a highly abstract…
Descriptors: Computer Science Education, Problem Solving, Computation, Difficulty Level
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