Within the fields of learning design, instructional systems and educational psychology, cognitive load has been discussed and debated for a number of years. The impact of course designs on learning process is still questioned, and how we learn continues to be an intriguing question. The fields of working memory (WM) and cognitive load (CL) have…

Based on the spatial Durbin model, this paper explored postgraduate education's influence and spatial effects on technological innovation. Using China's provincial panel data from 2004 to 2018, study results revealed that distribution of postgraduates in China showed spatial autocorrelation and non-equilibrium. Overall, postgraduate education…

In the seventeenth century, Guarino Guarini, mathematician and architect, affirmed that architecture, a discipline that primarily deals with measures, relies on geometry: therefore, the architect needs to know at least its basic principles. On behalf of Guarini's words, we designed a set of interdisciplinary teaching experiences, between…

Among the many elements that make up an effective educator, the most important is self-efficacy, writes ASCD author Chase Mielke. When schools support educators in developing a sense of efficacy, there's often a chain reaction.

ICT use in family functioning is an important area to study as the impact changes when technology grows over years. This research analyzed the role of ICT use in process & structure of families using the factors present in Hertlein multitheoretical model. The additional factor 'family communication pattern' was introduced and tested along with…

"Social withdrawal" refers to the process whereby a child removes him/herself from opportunities for peer interaction. For the last 30 years, social withdrawal research has been predominantly influenced by Asendorpf's (1990) conceptual model characterizing subtypes of social withdrawal based on combinations of social approach and social…

In this article, the authors from Monash University and the University of Sydney have collaborated to present a research-informed model to support the planning and teaching of mathematics, using a student centred structured inquiry approach.

This study aimed to provide first responses to the question of whether the pedagogical heritage of an instrumental music teacher, in the present case the great violinist and violin teacher Veda Reynolds, can be reconstructed by analyzing and comparing the discourse of their former students. To address this question, an ergo-didactic approach was…

When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most popular algorithms is topic modeling. For a given text dataset, a topic model provides probability distributions of words for a set of…

Cloze items are commonly used for both assessing learning and as a learning activity. This paper investigates the selection of sentences for cloze item creation by comparing methods ranging from simple heuristics to deep learning summarization models. An evaluation using human-generated cloze items from three different science texts indicates that…

There has been great progress towards Reinforcement Learning (RL) approaches that can achieve expert performance across a wide range of domains. However, researchers have not yet applied these models to learn expert models for educationally relevant tasks, such as those taught within tutoring systems and educational games. In this paper we explore…

Despite calls for more evidence regarding the effectiveness of teacher education practices, causal research in the field remains rare. One reason is that we lack designs and measurement approaches that appropriately meet the challenges of causal inference in the context of teacher education programs. This article provides a framework for how to…

The simple view of reading (SVR) framework has been used for decades to explain two general component skills considered to contribute to reading comprehension: decoding and linguistic comprehension. In the past, researchers have assessed the linguistic comprehension component using a wide range of language and/or listening comprehension measures…

In this paper, we provide an introduction to the factored regression framework. This modeling framework applies the rules of probability to break up or "factor" a complex joint distribution into a product of conditional regression models. Using this framework, we can easily specify the complex multivariate models that missing data…

In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…