IPA IP 2022 Question 4
A question IPA Japan published in 令和4年度 ITパスポート試験 公開問題 問4, translated into English. ITPEC is based on the same exams.
Which of the following is the most appropriate mechanism that increases the efficiency and effectiveness of learning by accumulating and analyzing the learning history of individuals through the use of IT, and providing the optimal content according to each learner’s learning progress and level of understanding?
Explanation
Adaptive learning — learning that IT adapts to each learner from their own learning history.
In adaptive learning, a system records what each learner has studied, how fast they progress and which questions they get right or wrong. Analysing this history, it judges the learner's level of understanding and offers the content that suits them next: a review of a weak point, an easier explanation or a harder exercise. Each learner follows a personal path, so study time goes where it is needed. Companies use it in staff training (e-learning) as schools use it in teaching.
Answer (a)
Why not others:
- •(b) Talent management — managing employees' skills and careers across the organization to place, develop and keep people strategically; not delivering content to a learner
- •(c) Deep learning — a machine learning method with many-layered neural networks; it is a technology inside AI, not a mechanism of education, even though it can be used in one
- •(d) Knowledge management — sharing the knowledge and know-how held by individuals across the organization to raise its performance
Key rule: Adaptive learning = learning history analysed to give each learner content matched to their progress and understanding; "deep learning" is AI, not a way of studying.
Corporate Activities · AI-written, may contain errors
This question comes from the past questions IPA Japan publishes, translated into English by ITPEC Practice. ITPEC Practice is an independent study tool and is not affiliated with IPA or ITPEC. See the original paper (PDF) or Report an issue.