Cignition delivers virtual tutoring in math and ELA, led by experienced educators. Their approach focuses on data-informed instruction and collaborative learning that encourages student-to-student interaction to build students' conceptual understanding. After a 2020 efficacy study of its 1:1 math tutoring offering, Cignition developed a group…

The purpose of this paper was to examine the relationships between pre-service teachers' conceptions of assessment and their intended approaches to classroom instruction and assessment. We operationalised approaches to instruction and assessment according to Achievement Goal Theory, postulating that pre-service teachers approach instruction and…

Although students' motivational frameworks (entity vs. incremental) have been linked to academic achievement, little is known about how early this link emerges and how motivational frameworks develop in the first place. In a year-long study (student N = 424, Teacher N = 58), we found that, as early as 1st and 2nd grade, children who endorsed an…

This mixed-methods study examined the relationship between middle level science students' perceptions of teacher-student interactions and students' science motivation, particulary their efficacy, value, and goal orientation for learning science. In this sequential explanatory design, quantitative and qualitative data were collected in two phases,…

Self-efficacy forecasts student persistence and achievement in challenging subjects. Thus, it is important to understand factors that contribute to students' self-efficacy, a key factor in their success in math and science. The current cross-sectional study examined the contribution of students' gender and math and science anxiety as well as…

The authors use Ryan and Deci's (2000) Self-Determination Theory (SDT) to better understand how student motivation and engagement are linked combined with Schlechty's Student Engagement Continuum to analyse the impact of intrinsic and extrinsic motivation on students' different engagement types. The study seeks to understand which type of…

In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…