• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.412-419
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• 2022

The amount of digital text data is growing exponentially, and many machine learning solutions are being used to monitor and manage this data. Artificial intelligence and machine learning are used in many areas of our daily lives, but the underlying processes and concepts are not easy for most people to understand. At a time when many experts are needed to run a machine learning solution, no-code machine learning tools are a good solution. No-code machine learning tools is a platform that enables machine learning functions to be performed without engineers or developers. The latest No-Code machine learning tools run in your browser, so you don't need to install any additional software, and the simple GUI interface makes them easy to use. Using these platforms can save you a lot of money and time because there is less skill and less code to write. No-Code machine learning tools make it easy to understand artificial intelligence and machine learning. In this paper, we examine No-Code machine learning tools and compare their features.

• 한국수학교육학회지시리즈A:수학교육
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• 제56권3호
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• pp.257-280
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• 2017

The purpose of this study is to analyze middle school students' learning characteristics they showed on the inquiry-based learning process of circumcenter using various teaching tools, and then to identify the effects of using teaching tools in the middle school students' learning process of circumcenter. For this purpose, we developed teaching materials for inquiry-based learning of circumcenter using textbook, origami, ruler and compass, GeoGebra and sand experiment. Then we applied them on the learning process of circumcenter for five groups of middle school students. From the analyzing of audio/video materials and documents which are collected from the process of participants' inquiry-based learning of circumcenter, we identified the following results. First, inquiry-based learning of circumcenter using various teaching tools promoted mathematical discourses among participants of this study. For example, they conjectured mathematical properties or justified their opinions after manipulated teaching tools in the process of learning circumcenter. Second, inquiry-based learning of circumcenter using various teaching tools promoted participants' divergent thinking. They tried many inquiry methods to find new mathematical properties relate to circumcenter. For example, they tried many inquiry methods to know whether there is unique circle containing four vertices of given quadrangles. Third, we found several didactic implications relate to inquiry-based learning of circumcenter using various teaching tools which are due to characteristics of teaching tools themselves. Participants showed several misconceptions about mathematical properties during they participated inquiry-based activity for learning of circumcenter using various teaching tools. We identified their misconceptions were not due to any other variables containing their learning characteristics but to characteristics of teaching tools.

• 디지털산업정보학회논문지
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• 제19권2호
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• pp.1-10
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• 2023

Digital transformation is accelerating in all industries due to COVID-19 and rapidly developing ICT technology. In the field of education, teaching methods that combine various IT devices and software technologies are being applied. The education requires a future learning environment using EduTech such as digital learning tools. We perform a case study on the use of digital learning tools for effective class. In this study, digital learning tools were applied to an university class. The class was held in the second semester of 2022 at A university, with 67 students participating. In our case, QuizN, Mentimeter, and Google Forms were applied as digital learning tools. In order to evaluate our case, a survey was conducted using the Google Questionnaire. From the results of the survey evaluation, more than 85% of all survey questions answered that they were satisfied. From it, digital learning tools were shown to be effective in class operation.

• International Journal of Internet, Broadcasting and Communication
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• 제16권4호
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• pp.394-401
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• 2024

The difference of this paper is that it analyzes the latest machine learning and deep learning tools for various tasks of program such as program search, understanding, completion, and review. In addition, the purpose of this study is to increase the understanding of various tasks of program by examining specific cases of applying various tasks of program based on tools. Recently, machine learning (ML) and deep learning (DL) technologies have contributed to automation and improvement of efficiency in various software development tasks such as program search, understanding, completion, and review. This study examines the characteristics of the latest ML and DL tools implemented for various tasks of program. Although these tools have many strengths, they still have weaknesses in generalization in various programming languages and program structures, and efficiency of computational resources. In this study, we evaluated the characteristics of these tools in a real environment.

• 컴퓨터교육학회논문지
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• 제21권5호
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• pp.37-48
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• 2018

2015 개정교육과정은 컴퓨팅 사고력을 향상시키고자 SW교육과정이 포함되었으며 교육 현장에서 활용될 다양한 피지컬 컴퓨팅 기반의 교구가 판매되고 있다. 본 연구는 교수 상황과 교수 목적에 적합한 피지컬 컴퓨팅 기반의 학습도구를 선정하는데 필요한 준거를 마련하여 현장의 도구 선택에 합리적인 판단 근거를 제공하는데 목적이 있다. 평가 준거 마련 방법으로는 25명의 전문가 패널을 통해 델파이 조사 방법을 사용하였다. 그 결과 7개의 영역에 대해 40개의 필수 준거와 11개의 선택 준거로 구성되는 교구 평가 준거가 제시되었다. 또한 도출된 학습 도구 평가 준거를 통해 현재 상용화된 5종의 학습 도구에 대한 평가 결과를 분석하였다. 본 연구를 통해 개발된 교구 평가 준거는 교사들의 합리적인 교구 선택과 교구 개발자의 교구 개발에 도움을 줄 수 있을 것으로 기대한다.

• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.360-370
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• 2022

Demand for machine learning systems continues to grow, and cloud machine learning platforms are widely used to meet this demand. Recently, the performance improvement of the application processor of smartphones has become an opportunity for the machine learning platform to move from the cloud to On-Device AI, and mobile applications equipped with machine learning functions are required. In this paper, machine learning tools for mobile applications are investigated and compared the characteristics of these tools.

• 한국컴퓨터정보학회논문지
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• 제22권9호
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• pp.187-192
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• 2017

In this paper, we have studied scale tools for measure programming task value and learning persistence at elementary school students. In order to develop complete test tools, we have improved the completeness by revising tests through stepwise verification. The first scales were constructed based on the previous studies. As a result of the content validity test, 5 out of 14 items of the task value test tool and 1 out of 10 items of the learning persistence test were not suitable. The second test tools were constructed by revising and supplementing the first scale, and consisted of 13 items of task value and 8 items of learning persistence. As a result of the contents validity test, all the items included in the test tool proved to be valid. The reliability of the secondary testing tools were also found to be reliable at ${\alpha}=.970$ and ${\alpha}=.975$, respectively.

• International Journal of Knowledge Content Development & Technology
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• 제7권3호
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• pp.67-86
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• 2017

The emergence of smart devices such as smartphones (e.g., iPhone) and tablets (e.g., iPad) may enhance e-learning by increasing communication and collaborative learning outside the classroom. These devices also facilitate the use of online technologies such as Facebook. However, the adaptation of Learning Management System (LMS) services to mobile devices took longer than social networks or online tools such as Facebook and Twitter have already been long used via smartphone. The main purposes of this study are to explore students' skill levels of LMS (Moodle) and their knowledge of online tools or technologies and then examine if there is a correlation between smartphone use and using of online tools and Moodle in learning. The study conducted among 173 students in the Department of Information Studies (DIS) in Oman, using online survey. The study found that most students demonstrated high levels of accessing course/subject materials and regularly engaging with studies of using LMSs. YouTube, Wikipedia and Facebook were clearly recorded as the most popular sites among students while LinkedIn and Academia.edu were two online tools that had never been heard of by over half of the 142 participants. Emailing and searching are recorded the most popular online learning activities among students. The study concluded that students prefer to use smartphone for accessing these tools rather than using it to access LMSs, while a positive correlation was found between the use of these tools and smartphones, but there was no correlation between smartphones and using LMSs.

• 디자인학연구
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• 제18권2호
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• pp.255-264
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• 2005

개인용 컴퓨터와 인터넷의 발달은 교수자와 학습자, 학습자와 학습자의 관계변화를 야기하였으며 대표적으로 전통적인 학습방법으로서의 일대일, 면대면 수업방식은 디지털 기반의 학습모형으로 변화를 죄하고 있다. 이러한 환경의 변화는 새로운 교육 정보로서의 적절한 디자인 도구와 재료의 등장이 교수와 학습, 모두의 입장에서 필요하게 되었음을 의미한다. 본 연구는 디지털 기술 기반에서의 효과적인 기초디자인 수업을 위하여 새로운 형식의 그래픽 툴(Basic Graphic Tools)을 개발하는 데 있다. 전통적인 학습 환경과의 차이는 최소화하면서 디지털 기술에서 가능한 재료와 도구의 다양성을 최대로 이끌어내는 것이다. Basic Graphic Tools(이하 BGTs)는 학생들의 선수 지식 유무와 학습 기술의 편차, 전통적인 훈련 방식과 첨단의 방식이 공존하는 상황에서 학습자에게는 기초디자인 과정에서 요구되는 디자인 원리를 학습하고 시야를 넓힐 수 있는 디지털 디자인 도구로서, 교수자에게는 효율적이고 생산적인 강의를 위한 새로운 교육 도구로 개발되었다. 기초 디자인 훈련프로그램으로서의 BGTs개발과 실험을 통해 새로운 교육 도구로서의 활용 가능성을 살펴보고 기초디자인 교육과정에서 학습자로 하여금 수월성을 갖게 하는 것이다. 기초디자인 학습 툴로서의 신뢰성 향상을 위해 C 대학에 개설된 e강의실을 통해 디자인 작업 일부가 시행되었다. 이를 근거로 Learning Guide/Performance Test가 이루어졌으며 그 결과 매우 높은 사용 가능성을 확보하였고 동시에 추후 연구과제로서 BGTs를 이용한 기초디자인 프로그램의 개발 가능성을 타진하였다.

• 4차산업연구
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• 제4권1호
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• pp.11-18
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• 2024

Purpose: The purpose of this study is to develop a geography class teaching and learning guide that enables learners to realistically explore the characteristics of the world's climate and geographical environment using digital tools. Research design, data and methodology: We review previous research on classes using goal-based scenario learning models, gamification, and digital tools, and explore tools that can be applied to world geography classes. Based on the exploration results, a goal-based scenario learning module is designed and a strategy for promoting educational gamification is established based on the ADDIE instructional design model. Results: The study comprises four sessions. Sessions 1-3 involve performance evaluations using a goal-based scenario learning module. Learners create game characters reflecting geographical characteristics, present results, and proceed with 3D modeling. In Session 4, a gamification class using Google Sites on the CoSpaces metaverse platform will be conducted. Conclusions: The study introduces a goal-based scenario learning model and a gamification class using digital tools to empower learners in exploring geographical diversity and its impact on lifestyles. Utilizing an accessible online platform, the study provides practical measures for integrating digital tools into geography education, addressing the current importance of digital technology in teaching.