Course Description: This course is designed to equip educators with the necessary skills and knowledge to effectively teach English to young learners. Through a combination of theoretical frameworks, practical strategies, and hands-on activities, participants will gain insights into the unique needs and learning styles of young language learners.

Course Objectives:

  1. Understand the developmental stages of young learners and their implications for English language acquisition.
  2. Explore effective methodologies and approaches for teaching English to young learners, including communicative language teaching (CLT), task-based learning (TBL), and storytelling.
  3. Develop age-appropriate lesson plans and materials that cater to the diverse needs and interests of young learners.
  4. Integrate technology and multimedia resources to enhance language learning experiences for young learners.
  5. Foster a supportive and inclusive learning environment that promotes active participation and engagement.
  6. Assess young learners' language proficiency through a variety of formative and summative assessment strategies.
  7. Reflect on teaching practices and adapt instructional strategies based on ongoing assessment and feedback.


Students are expected to be able to master the theoretical concepts of Statistics Education learning, which include Understanding Statistics and Statistics, Data in Statistics, Frequency Distribution and its graphs, central tendency, size of location, size of dispersion, size of kurtosis and skewness, Statistical hypothesis, statistical hypothesis testing, assumption test, association (relationship) test, regression analysis, one-sample test of mean and two independent sample comparative t-test, comparative test for the mean of more than two samples

Students are expected to be able to master the theoretical concepts of Statistics Education learning, which include Understanding Statistics and Statistics, Data in Statistics, Frequency Distribution and its graphs, central tendency, size of location, size of dispersion, size of kurtosis and skewness, Statistical hypothesis, statistical hypothesis testing, assumption test, association (relationship) test, regression analysis, one-sample test of mean and two independent sample comparative t-test, comparative test for the mean of more than two samples