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Giabbanelli, Philippe J.; Tawfik, Andrew A.; Wang, Bao – Journal of Research on Technology in Education, 2023
Instructional strategies employing complex problem-solving examine how learners represent the problem space and argue for decisions. Unlike problems with few solutions (e.g., multiple choices), instructors struggle to evaluate solutions to ill-structured problems quickly and consistently across students. This prevents instructors to provide timely…
Descriptors: Problem Solving, Maps, Artificial Intelligence, Evaluation Methods
Richard F. Melka; Hashim A. Yousif – International Journal of Mathematical Education in Science and Technology, 2023
In application-oriented mathematics, particularly in the context of nonlinear system analysis, phase plane analysis through SageMath offers a visual display of the qualitative behaviour of solutions to differential equations without inundating students with cumbersome calculations of the plane-phase. A variety of examples is usually given to…
Descriptors: Mathematical Concepts, Mathematical Applications, Problem Solving, Computation
Kumar, Bimal Aklesh; Sharma, Bibhya; Nakagawa, Elisa Yumi – Education and Information Technologies, 2022
Context-aware mobile learning applications provide learning materials to suit the needs of individual learners. Despite several applications developed, there is a lack of architectural support for developing these applications. This has resulted in a number of challenges; lack of standardization, poor quality of developed applications, and…
Descriptors: Computer Software, Telecommunications, Handheld Devices, Standards
Yuan Tian; Xi Yang; Suhail A. Doi; Luis Furuya-Kanamori; Lifeng Lin; Joey S. W. Kwong; Chang Xu – Research Synthesis Methods, 2024
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…
Descriptors: Risk, Randomized Controlled Trials, Classification, Robotics
Jonathan E. Westfall; Evan M. Hill – Teaching of Psychology, 2024
Introduction: Recruiting undergraduate students to participate in research has long been an established practice within psychology. Although this data source has weaknesses, this involvement in the research process has considerable pedagogical value in teaching students research methodology. Statement of the Problem: Most common software packages…
Descriptors: Computer Software, Researchers, Recruitment, Research Administration
Pham Sy Nam; Ngoc-Giang Nguyen; Hoa Anh Tuong; Ben Haas; Zsolt Lavicza; Yves Kreis – International Journal for Technology in Mathematics Education, 2023
Problem-based learning puts students in situations that suggest problems without providing instructions and available knowledge. Therefore, when using problem-based learning, students need to be flexible, self-disciplined, active and self-occupied with knowledge and turn the knowledge the teacher intends to impart into their knowledge. For locus…
Descriptors: Computer Software, Mathematics Instruction, Teaching Methods, Problem Based Learning
Muhammad Al-Abdullah; Alper Yayla; Mohammed Salem Al-Atoum – Journal of Information Systems Education, 2024
In today's cybersecurity landscape, organizations need frameworks that provide a holistic approach to risk assessment as part of the risk management process. This case introduces SecureEnd Solutions, a rapidly growing cybersecurity company, and its core team, including Alan Touring, Ada Lovecode, Bob Jobs, and Suzan, the head of development. The…
Descriptors: Risk Assessment, Risk Management, Computer Security, Holistic Approach
Julien S. Murphy; Constance Mui – Educational Philosophy and Theory, 2025
A leading critic of the disruptive force of technology in education, Bernard Stiegler saw the counter-effects of artificial intelligence in undermining human agency, autonomy and individuality, rendering the role of education ever more critical. Stiegler believes that our goal is not to abandon technology but to focus our attention on its power…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Writing (Composition)
Erik-Jan van Kesteren; Daniel L. Oberski – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Structural equation modeling (SEM) is being applied to ever more complex data types and questions, often requiring extensions such as regularization or novel fitting functions. To extend SEM, researchers currently need to completely reformulate SEM and its optimization algorithm -- a challenging and time-consuming task. In this paper, we introduce…
Descriptors: Structural Equation Models, Computation, Graphs, Algorithms
Frances A. Stott; David M. Stott – Advances in Accounting Education: Teaching and Curriculum Innovations, 2023
The chapter explores the possibilities related to using ChapGPT in tax education. Specifically, we address how tax has historically been taught in higher education and how the use of new and developing artificial intelligence (AI) tools such as ChatGPT can enhance this process going forward. The key takeaway is that AI tools are just that --…
Descriptors: Accounting, Teaching Methods, Artificial Intelligence, Business Education
Judith Galezer; Smadar Szekely – Informatics in Education, 2024
Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science. By navigating through logical challenges, users delve into topics like abstraction, loops, and graph patterns. Setting itself apart from its counterparts, Spark boasts…
Descriptors: Learning Management Systems, Game Based Learning, Computer Science Education, Teaching Methods
Peter Curtis; Brett Moffett; David A. Martin – Australian Primary Mathematics Classroom, 2024
In this article, the authors explore how the 3C Model can be used to integrate other curriculum areas with mathematics, namely digital technologies. To illustrate the model, they provide a practical example of a teaching sequence. T he 3C Model is designed to create opportunities for applying reasoning and problem-solving skills and learning…
Descriptors: Models, Computer Software, Problem Solving, Mathematics Instruction
Wares, Arsalan – International Journal of Mathematical Education in Science and Technology, 2021
The purpose of this note is to introduce two challenging problems in geometry that were inspired by some well-known problems in high school geometry. These problems can be explored in the dynamic geometry environments of computer construction programmes.
Descriptors: Mathematics Instruction, Geometry, Computer Uses in Education, Educational Technology
Peabody, Michael R. – Measurement: Interdisciplinary Research and Perspectives, 2023
Many organizations utilize some form of automation in the test assembly process; either fully algorithmic or heuristically constructed. However, one issue with heuristic models is that when the test assembly problem changes the entire model may need to be re-conceptualized and recoded. In contrast, mixed-integer programming (MIP) is a mathematical…
Descriptors: Programming Languages, Algorithms, Heuristics, Mathematical Models
Gordon, Sheldon P. – International Journal for Technology in Mathematics Education, 2020
The article uses dynamic visualizations in Excel to examine a variety of ways in which students can attain a much greater depth of understanding of optimization problems in introductory calculus. The topics discussed include a variety of common optimization problems that appear in virtually every calculus textbook that can all be enhanced…
Descriptors: Problem Solving, Mathematics Instruction, Teaching Methods, Calculus

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