No abstract

The purpose of this study is to explore the population attributes, the level of needs, and the impact of seniority courses on their transformational learning. This study adopts a questionnaire survey method. The survey targets 396 valid samples of participants participating in lifelong learning in Taiwan. Data processing and analysis were performed using statistical methods such as sex statistics, t-test, single-factor variance analysis, and regression model. The study found that: 1. the middle-aged and elderly people with different population attributes showed significant gender, age and region in the analysis of the differences in seniority courses; 2. the middle-aged people with different population attributes analyzed the differences in demand levels. The level of significance is generally good; 3. the level of demand of middle-aged people and the predictive power of the ageing curriculum demand, it is found that the level of demand has a significant positive impact on the advanced learning curriculum; 4. According to the research results, formulate appropriate transformation learning response strategies. Finally, based on the results of this study, a number of relevant recommendations are made for middle-aged learners and follow-up research institutions for reference.

At present, artificial intelligence has become an important driving force for a new round of technological revolution and industrial transformation. Under the background of the increasingly significant trend of global population aging, it is an important issue to consider how to serve cognitive aging and geriatric linguistics research based on artificial intelligence technology to serve the transformation of the elderly from healthy aging, active aging to active aging. The research and application of artificial intelligence based geriatric linguistics and services for the aged include at least three fields: basic research on gerontology, detection of aging and diseases, and cognitive rehabilitation of aging language.This study explores the correlation between active aging learning and satisfaction among senior citizens. Taking the students from the Senior College of Central Taiwan as the research object, the Active Aging Learning and Satisfaction Questionnaire was used as the research tool. A total of 440 copies were sent out using a convenient sampling method. 400 questionnaires, deducted 20 incomplete questionnaires, effectively recovered 380 points, and the effective recovery rate was 86.36%. SPSS (Satistical Package for the Social Science) for Window statistical suite software was used as an analysis tool for descriptive statistics Data analysis was performed by statistical methods such as single factor variation analysis, regression analysis, item analysis, and factor analysis. The results of statistical analysis show that there is a significant difference in active aging learning and satisfaction among older people. In addition, research has found that the relationship between active aging learning and satisfaction has predictive power. Based on preliminary research, researchers have found that active aging learning has an effect on improving the satisfaction of older people, and makes relevant suggestions for future research and teaching units.