Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…

Over the last two decades, statistics educators have made important changes to introductory courses. Current guidelines emphasize developing statistical thinking in students and exposing them to the entire investigative process in the context of interesting research questions and real data. As a result, many concepts (confounding, multivariable…

In today's society, innovation and creativity are needed in many areas, Unfortunately, graduated students miss out on employment opportunities due to a lack of creativity (Bateman 2013). Base on literature review, classroom observation and administrator s' feedback, there are three areas to support student 's creativity: Learner Engagement,…

In order to develop an expert-like mental model of complex systems, causal reasoning is essential. This study examines the differences between forward and backward instructional strategies in terms of efficiency, students' learning and progression of their mental models of the electronic transport chain in an undergraduate metabolism course…

Finance threshold concepts are the essential conceptual knowledge that underpin well-developed financial capabilities and are central to the mastery of finance. In this paper we investigate threshold concepts in finance from the point of view of students, by establishing the extent to which students are aware of threshold concepts identified by…

The purpose of this study was to examine how moral reasoning develops for 236 students enrolled in either a diversity course or a management course. These courses were compared based on the level of diversity inclusion and type of pedagogy employed in the classroom. We used causal modelling to compare the two types of courses, controlling for the…

The purpose of this study was to test a model in which technology integration of pre-service teachers was predicted by a number of university-based and school-based factors. Initially, factors affecting technology integration were identified, and a research-based path model was developed to explain causal relationships between these factors. The…

Little is known about the influence of language background in problem-based learning (PBL) tutorial groups on group processes and students' academic achievement. This study investigated the relationship between language background, secondary school score, tutorial group processes, and students' academic achievement in PBL. A validated tutorial…

Many studies of changes in learning approaches have used data from different age groups at one point in time only (Gow and Kember, High Educ 19:307-322, 1990; Watkins and Hattie, Br J Educ Psychol 51:384-393, 1981) or have analyzed the effects of just two or three factors using single level analytical techniques (Cano, Br J Educ Psychol…

Inference for causal effects is a critical activity in many branches of science and public policy. The field of statistics is the one field most suited to address such problems, whether from designed experiments or observational studies. Consequently, it is arguably essential that departments of statistics teach courses in causal inference to both…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…