Gamification is an approach that solves real-life motivational problems with game design techniques by target a long-term behavioral change in participants. However, the application models in gamification design are limited and lack a holistic approach in scope. While existing models may seem sufficient on their own, they tend to focus on certain…

Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs incorporate a vector of subject-specific weights characterizing partial membership across clusters. With this flexibility come challenges in uniquely identifying,…

One of the most persuasive technologies in developing universities' smart campus applications is the Internet of Things (IoT) technique. Deploying thousands of readily available devices connected to IoT systems by ignoring device vulnerabilities and threat strategies in smart campus infrastructure is exacerbating security challenges. Moreover,…

The use of smartphones has become a primary need in supporting human daily activities. With the presence of a smartphone, various activities can be carried out only through an application. One application that is currently popular with Indonesians is an investment application with products such as stocks, mutual funds, and crypto. The presence of…

Research over the monitoring of at-risk youth. Behavioral interventions have been the primary focus of this literature past two decades has focused on one aspect of dropout prevention: early identification an however, there is renewed emphasis placed on attendance and academic risk factors under ESSA. Recognizing a need to promote early…

Complex data structures are ubiquitous in psychological research, especially in educational settings. In the context of randomized controlled trials, students are nested in classrooms but may be cross-classified by other units, such as small groups. Furthermore, in many cases only some students may be nested within a unit while other students may…

Longitudinal data analysis has received widespread interest throughout educational, behavioral, and social science research, with latent growth curve modeling currently being one of the most popular methods of analysis. Despite the popularity of latent growth curve modeling, limited attention has been directed toward understanding the issues of…

Complex data structures are ubiquitous in psychological research, especially in educational settings. In the context of randomized controlled trials, students are nested in classrooms but may be cross-classified by other units, such as small groups. Further, in many cases only some students may be nested within a unit while other students may not.…

Literature on STEM education outcome in the tertiary context has pursued the construct of non-cognitive attributes distinctly from that of entrepreneurship skills and pedagogical competencies, notwithstanding the inferred indications that the three can be adapted in an integrated model to enhance positive outcomes. This study established that…

Classifications of higher education institutions into categories that are more or less clearly differentiated through prestige and status are legion in the world of higher education. The notion of parallel categories with comparable statuses, such as those of different types of universities, is however much less well understood. This paper…

A goal of some functional analysis (FA) variations is to reduce assessment time while still maintaining efficacy. This may be especially important when conducting FAs in early intervention programs, where time is a crucial commodity. To that end, we evaluated a model for using the results of the no-interaction condition as a screening for…

The goal of creating evidence-based programs is to scale them at sufficient breadth to support population-level improvements in critical outcomes. However, this promise is challenging to fulfill. One of the biggest issues for the field is the reduction in effect sizes seen when a program is taken to scale. This paper discusses an economic…

Sequential lineups are one of the most commonly used procedures in police departments across the USA. Although this procedure has been the target of much experimental research, there has been comparatively little work formally modeling it, especially the sequential nature of the judgments that it elicits. There are also important gaps in our…

This research is an integrative literature review regarding the variety of university-based early childhood education and care (ECEC) centre models. This research focuses on those models that collaborate closely with early childhood (EC) teacher education programmes. The data were gathered from three different databases: ERIC (Ebscohost),…

The extent of competition in the market affects the balance of bargaining power of market participants. When price discrimination is low, it increases consumer welfare - that is, if the price does not correspond to the evaluation of each product by the consumer, then discrimination allows for additional consumers to buy the product at a price,…