Individual Personalized Learning
نویسندگان
چکیده
منابع مشابه
Individual Syllabus for Personalized Learner-Centric E-Courses in E-Learning and M-Learning
Most of e-learning and m-learning systems are course-centric. These systems provided services that concentrated on course material and pedagogical. They did not take into account varieties of student levels, skills, interests or preferences. This paper provides a design of an approach for personalized and self-adapted agent-based learning systems for enhancing e-learning and mobile learning (m-...
متن کاملIndividual Biomarkers Using Molecular Personalized Medicine Approaches.
Molecular personalized medicine tries to generate individual predictive biomarkers to assist doctors in their decision making. These are thought to improve the efficacy and lower the toxicity of a treatment. The molecular basis of the desired high-precision prediction is modern "omex" technologies providing high-throughput bioanalytical methods. These include genomics and epigenomics, transcrip...
متن کاملLearning Personalized Query Modifications
The continuous development of the Internet has resulted in an exponential increase in the amount of available information. A popular way to access this information is by submitting queries to a search engine which retrieves a set of documents. However, search engines do not consider the specific needs of every user and they retrieve the same results for everyone. This suggests the necessity to ...
متن کاملPersonalized Learning Systems
Brusilovsky, P. (1996). Methods and techniques of adaptive hypermedia. User Modeling and User-Adapted Interaction, 6, 87–129. Graf, S. (2007). Adaptivity in learningmanagement systems focussing on learning styles (Ph.D. thesis). Vienna University of Technology, Austria. Graf, S., Yang, G., Liu, T.-C., & Kinshuk. (2009). Automatic, global and dynamic student modeling in a ubiquitous learning env...
متن کاملToward Personalized Relational Learning
Relational learning exploits relationships among instances manifested in a network to improve the predictive performance of many network mining tasks. Due to its empirical success, it has been widely applied in myriad domains. In many cases, individuals in a network are highly idiosyncratic. They not only connect to each other with a composite of factors but also are often described by some con...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Educational Considerations
سال: 2020
ISSN: 0146-9282
DOI: 10.4148/0146-9282.2237