The data-intensive research paradigm calls for using educational and learning data to generate actionable insights and improve the instruction and learning quality. Although previous research designed and employed teaching analytics or learning analytics tools, few research had incorporated multiple data sources to assess the overall teaching and…

The purpose of this study is to apply the Technology Acceptance Model to identify the determinants affecting students' behavioural intentions when it comes to using micro-lectures. The conceptual framework included three antecedents of behavioural intentions -- perceived usefulness of micro-lectures; perceived ease of use of micro-lectures; and…

Although small teacher education preparation programs (STEPP) may struggle to implement robust program design frameworks compared to their larger preparation program peers, a collaborative design can help smaller programs with resource limitations. This collaboration can facilitate the design of effective and efficient teacher preparation programs…

Increasing class size is one of the key variables that policy makers can use to control spending on education. But the consensus among many education researchers is that smaller classes are effective in improving student achievement. This view has led to a policy of class size reductions in a number of US states, the UK, and the Netherlands. This…

Identifying an appropriate class size is an important decision public schools face as they weigh balancing their budget with the impact class size may have on student achievement. This study examined perceptions of South Dakota kindergarten through third-grade teachers, elementary principals, and superintendents concerning optimal class size and…