Abstract
Education Technology advances many aspects of learning. More and more learning is taking place online. Learners’ learning behaviors, style, and performance can be easily profiled through learning analytics which collects their online learning footage. It enables and encourages educational research, learning software application development, and online education practices towards personalized and adaptive learning. As we continue to see personalized and adaptive learning progress, we must also pay attention to the negative impacts that feed into our research. In this paper, we will present our introspection of personalized and adaptive learning and argue that it is the social and moral responsibility of educators and institutions to apply personalized and adaptive learning wisely in their education practice. Educators and institutions should also recognize the realistic diversities of individual students’ learning styles and variable learning progress, contextually dependent learning accessibility, and their correspondent support needs for the fine-grained learning activities. We argue that the strategically balanced practices and innovated learning technology are crucial towards an optimized learning experience for the learners.
Highlights
About 2500 years ago, the Chinese philosopher and educator, Confucius implemented his philosophy, “the golden mean” in mentoring his students, which was recognized as the origin of the well-known educational concept, “teaching to the talent”
We studied innovations and personalization issues from e-learning to u-learning to identify that seamless immersion of formal and informal learning activities can contribute to the personalized learning through the adaptive learning (TAN; CHANG; KINSHUK, 2015)
Further advanced adaptive learning based on AI and machine learning technologies to more accurately replicate the one-on-one instructor experience is called as Adaptive Learning 3.0, which enhances personalized learning through enhancing the relationships between learning content, learning objectives, learning activities and learning evaluation and individual learner
Summary
About 2500 years ago, the Chinese philosopher and educator, Confucius implemented his philosophy, “the golden mean” (zhōn yōn) in mentoring his students, which was recognized as the origin of the well-known educational concept, “teaching to the talent” (yīn cái shī jiào). Through applying emerging information and computing (IC) technologies to learning analytics and machine learning, we can more precisely and accurately identify an individual learner’s style, behavior, strength and weakness, as well as more effectively and efficiently assess performance and progress This is especially true in online education because big data about learners and their learning is readily available so that personalized and adaptive learning can be implemented to accommodate an individual learner’s style and behavior in order to largely remove learning barriers and reduce stress in the learning. It is aimed at enhancing learners’ performance and enabling learners to more effectively achieve course objectives and program learning outcomes prescribed by the curriculum.
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