Teacher education programs have been continuously explored on various aspects; many challenges remain when it comes to the effective preparation of pre-service teachers in meeting the needs of Generation Z students, primarily in terms of teaching and assessment. With a new generation of students entering our educational institutions, one that has grown up with information and communication technology (ICT) as an everyday aspect of their lives and is tech-savvy, we need a robust teacher education system to ensure that the Generation Zers' needs in terms of teaching and assessment are met. This chapter focuses on the importance of teacher education programs in preparing competent pre-service teachers who are assessment literate and can confidently administer digital-based assessments.
Demographic variables as predicate of public secondary school teachers' decision to quit or study in the teaching profession using Akwa Ibom, Nigeria as a case study was the central focus of this study. In this study two demographic variables were considered namely gender and academic qualification. The study utilized a sample size of 50 teachers randomly sampled from five public secondary schools and the ex-post-facto design. The data was collected using the "Demographic variable and Teachers" Decision to Quit or Stay in Teaching Profession Questionnaire (DVTDQSTPQ). The data was analyzed with an independent t-test and the result at 0.05 level of significance showed that gender and academic qualification had no significant influence on teachers' decision to quit or stay in the teaching profession.
This study was aim at analyzing the notion of quality teaching expected of teachers as reflective practitioners, which are continuously articulated during workshops, conferences, however, its practicality seems vaguely defined and at times, reflection seems to lose its purpose and value. The study engaged a descriptive survey which used stratified sampling technique which understudies 363 Primary School Teachers in Fiji from the four major Education Divisions, in which each stratum was selected. A ‘Test on Knowledge of Reflective Teaching,’ and a ‘Rating Scale on Practice of Reflective Teaching’ were conducted and analysed to compare the components of Knowledge and Practice of Reflective Teaching, with respect to teaching experience, and the data was analysed quantitatively using Analysis of Variance (ANOVA). Fndings from the study amongst others is that there is a significant difference in knowledge which focus on practical aspects’ component of knowledge of reflective teaching for primary mathematics teachers in Fiji.
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<p>Having quality instruments is essential in ensuring data integrity. Indiscriminately application and over-dependency on Cronbach alpha index for multiple measured items (ordinal scale) and usage of SPSS software, which produce spurious estimation, have been a subject of technical debates in the literature. This debate toes the path of fulfilling stringent underlying assumptions of Cronbach alpha, such as uni-dimensionality, tau-equivalent, etc. However, modern approaches like ordinal alpha, Omega coefficient, GLB, Guttman Lambda, and Revelle Beta have been suggested with precise estimates and confidence intervals via R programming language. Thus, this paper examined the performance of alternative approaches to Cronbach alpha and documented practical step by step of establishing it. Non-experimental design of scale development research was adopted, and a multi-stage sampling procedure was used to sample N = 883 subjects that participated in the study. Findings showed that the instrument is multidimensional, in which Cronbach alpha is not apt for its estimation. Also, other forms of reliability methods produced better and more precise estimates, though their performance differs among themselves. The authors concluded that estimation of Cronbach Alpha using SPSS when the instrument is ordinal is absolutely not sufficient. Therefore, it is recommended that researchers explore and shift their paradigm from traditional reliability estimates through SPSS to modern approaches using an R programming language.</p>
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