Learning Mathematics for Teaching through Computer-Aided Mathematics Instruction: Preservice Teachers’ Perspective

Adelabu, Folake Modupe; Alex, Jogymol

doi:10.18848/2327-7971/cgp/v29i02/1-12

Cited by 2 publications

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“…The loss of data often occurs in the gap. In order to shorten the gap time and make the communication between intelligent agent and system seamless [2]. It is inevitable to put forward the data perception ability of intelligent agent independently.…”

Section: Application Of Intelligent Agent Technology In Caimentioning

confidence: 99%

Computer Aided Instruction Software Design under the Influence of Artificial Intelligence(AI)

Guo¹

2023

Atlantis Highlights in Computer Sciences

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In recent years, with the development and popularization of software and hardware technology and network technology, multi-channel and multi-content teaching forms have laid a deep social foundation for computer-aided instruction (CAI) to play an increasingly important role, making CAI gradually become an important means in modern teaching links. Based on this, this paper studies and analyzes the design of CAI software under the influence of AI. Firstly, the characteristics of CAI are analyzed, the application of intelligent agent technology in CAI is discussed, and the framework flow chart is introduced to present the workflow of CAI software; secondly, the intelligent response process of CAI software is introduced through different algorithms. Finally, the feasibility of CAI software under the influence of AI is verified through experiments. It can be used for practical application students' learning. With rich course content and fresh function display, it can fully meet the needs of students' efficient learning.

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Section: Application Of Intelligent Agent Technology In Caimentioning

confidence: 99%

Computer Aided Instruction Software Design under the Influence of Artificial Intelligence(AI)

Guo¹

2023

Atlantis Highlights in Computer Sciences

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Student Teachers’ Knowledge of School-level Geometry: Implications for Teaching and Learning

Mukuka,

Alex

2024

EUROPEAN J ED RES

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<p style="text-align:justify">This study aimed to assess the geometric knowledge of student teachers from a university in the Eastern Cape province of South Africa. The study used a sample of 225 first-year student teachers who completed school mathematics baseline assessments on a computer- aided mathematics instruction (CAMI) software. The study adopted a descriptive cross-sectional research design, using quantitative data to measure student teachers’ geometry achievement level, and qualitative data to explain the challenges encountered. The results show that student teachers exhibited a low level of understanding of school-level geometry. The low achievement levels were linked to various factors, such as insufficient grasp of geometry concepts in their secondary school education, difficulty in remembering what was done years ago, low self-confidence, and lack of Information and Communications Technology (ICT) skills along with the limited time for the baseline tests. These results suggest that appropriate measures should be taken to ensure that student teachers acquire the necessary subject-matter knowledge to teach effectively in their future classrooms.</p>

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Learning Mathematics for Teaching through Computer-Aided Mathematics Instruction: Preservice Teachers’ Perspective

Cited by 2 publications

References 0 publications

Computer Aided Instruction Software Design under the Influence of Artificial Intelligence(AI)

Computer Aided Instruction Software Design under the Influence of Artificial Intelligence(AI)

Student Teachers’ Knowledge of School-level Geometry: Implications for Teaching and Learning

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