By the end of this module, master's students in STEM subjects should feel confident in designing and conducting their own educational research, critically engaging with existing literature, and contributing to the broader field of education through their findings. We wish you all to enjoy wonderful learning moments!
The aim of this module is to provide post-graduate students with knowledge, skills and attitudes in statistical analysis that can be applied in educational research. The content of the module includes theories and educational applications of: Basic concepts in statistics; Techniques of collecting, depicting, tabulating and exploring data; Measures of central tendency and dispersion; Correlation; Regression; Estimation; hypothesis testing; ANOVA and ANCOVA; Analysis of categorical and non-categorical data.
The module introduces students to criteria of effective assessment and strategies to construct a test. It aims at enabling the students to understand and critique measurement and evaluation, principles and concepts of the different types of measurement and educational evaluation, to describe the different roles of measurement and evaluation and the contemporary practices in evaluation in light of current research and professional experience. It also aims at enabling students integrate assessment into learning process, to be able to plan and conduct evaluation and testing on the basis of sound principles and practices and to understand the interconnections between/among curriculum, goals, objectives, measurement and evaluation.