Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters. In high-level software code for model definitions (using, e.g., BUGS, JAGS, Stan), the likelihood is therefore specified as conditional on the latent variables. This can lead researchers to…

We examined 3 different network models of representing semantic knowledge (5,018-word directed and undirected step distance networks, and an association-correlation network) to predict lexical priming effects. In Experiment 1, participants made semantic relatedness judgments for word pairs with varying path lengths. Response latencies for…

The study aims to find out the effectiveness of I-Teach model to improve teachers' professionalism in handling special-needs children in inclusive classes. This is the final part of a research and development project with the modification of its development stage by Sukmadinata (2017) to be a model testing stage. It explained the effectiveness of…

Network meta-analysis has been gaining prominence as an evidence synthesis method that enables the comprehensive synthesis and simultaneous comparison of multiple treatments. In many network meta-analyses, some of the constituent studies may have markedly different characteristics from the others, and may be influential enough to change the…

Self-determination, as a person dispositional characteristic, is indeed influenced by situational characteristics that shape actions across contexts. Research has also reported differences in self-determination as a function of personal factors, but there is a need to integrate this knowledge in a general model aiming to analyse the impact of…

Currently critical thinking skills is becoming an important education issue to overcome the challanges of industrial revolution 4.0. Previous studies reported that the pre-service teachers' critical thinking dispositions and skills were still low, therefore, both aspects of critical thinking should be improved through learning activities in higher…

Purpose: Agricultural extension services in poor countries often identify opinion leaders based on criteria such as wealth and social status. We explore the effectiveness of this top-down approach by analysing the role of so-called model and nodal farmers in the diffusion of malt barley in a highland community in Ethiopia. Research approach: We…

This study aimed at designing instructional material named Biotechnology Instruction Module (BIM) which is enriched with active learning methods to enhance the 8th grade students' learning of the topic. The development of the teaching materials proceeded within the stages of the ADDIE instructional design model. The final form of the instructional…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

Purpose: Vocal roughness is often present in many voice disorders but the assessment of roughness mainly depends on the subjective auditory-perceptual evaluation and lacks acoustic correlates. This study aimed to apply the concept of roughness in general sound quality perception to vocal roughness assessment and to characterize the relationship…

Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…

The present study examined the intersection of sexual orientation identity, spirituality, and gender in queer male university students. Many higher education institutions offer a supportive, secure environment for queer persons to explore and grow into their understanding of self, resolving any potential conflicts arising from their intersecting…

The application of CDMs to fraction subtraction data revealed problems on the classification of examinees, latent class sizes, and the use of higher-order models. Additionally, selecting the most appropriate model assumes critical importance if there are several appropriate models available for the data. In the present study, DINA-RDINA and…

The spacing effect is among the most widely replicated empirical phenomena in the learning sciences, and its relevance to education and training is readily apparent. Yet successful applications of spacing effect research to education and training is rare. Computational modeling can provide the crucial link between a century of accumulated…

We explore the following two cognitive questions regarding crosslinguistic variation in lexical semantic systems: Why are some linguistic categories--that is, the associations between a term and a portion of the semantic space--harder to learn than others? How does learning a language-specific set of lexical categories affect processing in that…