이번 출연에서는 XAPI 키념에 대해서 간단히 살펴보겠습니다. XAPI는 Experience API의 약자입니다. 특히 PDX, 즉 경험이라는 키워드는 최근에 가장 많이 회자되는 영어입니다. XAPI는 한 사람이 가지고 있는 광범위한 경험, 온라인 및 오프라인에 대한 데이터를 수집할 수 있는 학습 기술을 위한 국제 표준입니다. 미 국방부 산하의 Advent Distributed Learning에서 2011년부터 논의되었으며, 2013년 1점부터 명부 전환이 시작되어 현재까지 개정되었습니다. 1년에 2개의 AI 기반 서비스들은 빅데이터 알고리즘, 머신 러닝, 빅 프로세싱 등을 동반합니다. 빅데이터 기반 서비스는 비디오에 대한 정보를 제공합니다. 상당량의 학급 정도를 기반으로 주의를 파악하여 미래를 예측합니다.

It is about being interactive, meaning that users cannot respond scientifically to the content they need. This incurs a high cost, and the evaluation of efficiency relative to cost varies. In the area of dormant resource development, I believe it is not efficient. I will explain the concept of HRD through AX AP. If we were to digitalize our data, only 3% of it would be converted, and we would provide personalized content based on just 0.5% of the data. Based on this 0.5% metric, we can say that AI technology offers decent services. However, when looking at the content provided, especially in terms of resolution and effectiveness, it is hard to argue that it is performing well relative to its cost. As shown on the screen, a significant amount of data has been collected, and online education primarily focuses on data conversion. However, it only utilizes some information, such as completion assessments and diagnostic evaluations. In this situation, HRB-based technology lacks big data.

It is a standard for data-fying experiences related to learning outcomes. As the term xAPI suggests, it is an API that can also be applied to learning. This is known as an Learning Record Store (LRS). LRS plays a role in big data, and ultimately, xAPI serves as an interface that can connect with various data sources. A representative form of data stored in the LRS through xAPI is the goal of achieving learning outcomes. It expands data collection beyond traditional boundaries, reaching up to 270 areas, and can integrate with external systems to broaden the scope of data. If information from xAPI is used to train machine learning engines, it can provide higher quality personalized services compared to existing methods. The representative resource for xAPI is the official website, which offers substantial information that can significantly address inquiries about xAPI. It is recommended to read all sections of the site, but special attention should be given to the terminology used.

Please make sure to read the Ken API statement thoroughly. You will get a sense of how to implement the XA PR. Let's take a look at the XI PR configuration diagram. There are various media that can be stored in the ERA, with mobile online lectures and flipped learning being representative examples. XA Ping seems to play a role in providing new forms of AI services through the EdTech sector. Recently, it has been reported that online education sites are actively applying XA to build various services. Even when watching the same lecture, they can analyze service usage patterns based on individual users and provide customized content in real-time. XP makes this possible. I will conclude by expressing my personal hopes. In the era of business process management systems, users exclaimed after seeing the results, What is the difference between the outputs made with expensive DPS and those made in MVC format?

There is indeed a technical barrier when encountering Excel API errors. However, if the results produced do not align with the characteristics of C10, like in the case of BPMs, one might wonder why we are using X and PIA. It is expected that XF pills will generate various forms of content that combine operational technology with the underlying technology, leading to increased activation. That's all for this site. Thank you.

초간단 xAPI 이해하기 | xAPI | LRS | AI | EduTech | BigData | BigProcess | 인사이트킴

초간단 xAPI 이해하기 | xAPI | LRS | AI | EduTech | BigData | BigProcess | 인사이트킴

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