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Task-Driven ADDIE-Twist Model With a Teach-Study Double-Helix Structure
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Liqi Lai; Luyao Wang; Rui Huang; Zoe Lin Jiang; Junbo Huang; Wenyue Shi; Bin Zhou; Renzhang Chen; Bin Lei; Junbin Fang – IEEE Transactions on Education, 2024
Contribution: This article proposes a task-driven ADDIE-Twist design model with a double-helix structure, which introduces intelligent teaching tools and lightweight collaboration platforms to design a knowledge-sharing and group collaboration model with two layers of teaching task driven and learning task driven, providing inspiration for the…
Descriptors: Models, Learning Activities, Group Activities, Engineering Education
Assessing Engineering Students' Systems Thinking and Modeling Based on Their Online Learning
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Roee Peretz; Natali Levi-Soskin; Dov Dori; Yehudit Judy Dori – IEEE Transactions on Education, 2024
Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…
Descriptors: Models, Engineering Education, Thinking Skills, Systems Approach
Applying Competition-Based Learning to Stimulate Students' Practical and Competitive AI Ability in a Machine Learning Curriculum
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Hui-Tzu Chang; Chia-Yu Lin – IEEE Transactions on Education, 2024
Contribution: This study incorporates competition-based learning (CBL) into machine learning courses. By engaging students in innovative problem-solving challenges within information competitions, revealing that students' participation in online problem-solving competitions can improve their information technology, and showcase competitions can…
Descriptors: Competition, Artificial Intelligence, Curriculum, Problem Solving
Modeling a Problem-Solving Approach Through Computational Thinking for Teaching Programming
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Zebel-Al Tareq; Raja Jamilah Raja Yusof – IEEE Transactions on Education, 2024
Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic problems and translate them into effective active learning methods. Background: Different teaching approaches for programming are widely available; however, being…
Descriptors: Models, Problem Solving, Computation, Thinking Skills
Toward Modeling the Intrinsic Complexity of Test Problems
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Shoufan, Abdulhadi – IEEE Transactions on Education, 2017
The concept of intrinsic complexity explains why different problems of the same type, tackled by the same problem solver, can require different times to solve and yield solutions of different quality. This paper proposes a general four-step approach that can be used to establish a model for the intrinsic complexity of a problem class in terms of…
Descriptors: Test Items, Difficulty Level, Problem Solving, Models
Engineering Students' Epistemological Thinking in the Context of Project-Based Learning
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Zhu, Jiabin; Liu, Rongrong; Liu, Qunqun; Zheng, Tianyi; Zhang, Zhinan – IEEE Transactions on Education, 2019
Contribution: This paper qualitative research delineates the thinking and behavioral patterns that reflect students' advanced level of epistemological thinking in project-based learning (PBL) activities and the associated impact factors. Background: PBL has been widely adopted in engineering education for its effectiveness in improving students'…
Descriptors: Engineering Education, Epistemology, Models, Active Learning