Yuanyuan Wei - Tue 3 March 2020, 9:49 am
Background and social problem:
In contemporary society, parents always encounter many problems when educating the next generation. For example, students have poor self-learning ability, poor learning habits, and low efficiency in doing homework。Therefore, there is a need to understand the influences of human factors to design digital learning environments that best suit every learner (Chen & Wang, 2019). Enhancing the fun and self-learning is the consideration of cultivating good habits for the next generation.
New learning styles of young learners
It is a task box, which consists of six electronic screens.
Users can record tasks at each time of day through voice interaction. Tasks are arranged in the text on the electronic screen in the previous section. When the user completes the task within the prescribed period, the corresponding task on the screen will disappear.
The upper part of the box is an electronic calendar, and the color of the corresponding date part on the screen will turn green. When all tasks for the month are completed on time, the box will open from the top, and users can take out the reward gifts that parents put into the box early.
The younger learners 6 to 12 who have poor self-control in learning.
Design aim： Provide a playful new type of auxiliary learning method for younger learners who have poor self-control in learning and finished school task and life task
Interactions method: Voice interactions
Automatic Speech Recognition（ASR）：The machine converts the user's voice signal into corresponding text through recognition.
Natural Language Processing（NLP）：It focuses on communication between computers and humans using natural language.
About the Idea, my inspiration comes from the seven HCI grand challenges. From the sixth part, the book describes the challenges for learning and creativity in technologically advanced and intelligent environments. There reference one main issue about the new generation of learners.
#Voice interactions# #young learners #
Chen, S., . Y., & Wang, J., . H. (2019). Human factors and personalized digital learning: An editorial. International Journal of Human–Computer Interaction, 35(4–5), 297–298. doi:10.1080/10447318.2018.1542891