Cheating detection is an important issue in standardized testing, especially in large-scale settings. Statistical approaches are often computationally intensive and require specialised software to conduct. We present a two-stage approach that quickly filters suspected groups using statistical testing on an IRT-based answer-copying index. We also present an approach to mitigate data contamination and improve the performance of the index. The computation of the index was implemented through a modified version of an open source R package, thus enabling wider access to the method. Using data from PIRLS 2011 (N=64,232) we conduct a simulation to demonstrate our approach. Type I error was well-controlled and no control group was falsely flagged for cheating, while 16 (combined n=12,569) of the 18 (combined n=14,149) simulated groups were detected. Implications for system-level cheating detection and further improvements of the approach were discussed.

This study aimed to explore the perceived factors that influenced the success and challenges experienced when taking licensure examination among Bachelor of Science in Criminology graduates of a state university in the Philippines who failed in the Criminologist Licensure Examinations (CLE). Descriptive-correlational research design was utilized to analyze quantitative data, and Colaizzi’s descriptive phenomenology was used for the thematic analysis of qualitative data. The quantitative findings revealed that home and family factor has a high influence on the success in CLE, while student factor, school factor, review center factor, and personal factor have average influence. Further, ten clusters of themes emerged as factors that influence the success in CLE. Among them were interest and focus on the program, and availability of qualified and dedicated faculty. Among the themes that emerged as challenges were lack of preparedness for the exam because of one’s work, and personal and social pressures. There is a significant difference on the respondents’ perception towards the factors that influence the success in CLE when they are grouped according to sex. Regarding the challenges associated with preparing for and taking the CLE, a significant difference is only observed when respondents are grouped according to their civil status. Generally, married respondents have higher weighted means than the single ones. This implies that the identified challenges affected married respondents more than the single ones. These results can be used to make policies and initiate programs that would enhance graduates’ success in the exam by providing appropriate interventions and early remediations.

Speech therapy uses a combination of approaches to assess speech and language, including analysis of spontaneous speech, use of standardized scales and assessment by the child’s parents and/or preschool teachers. In this paper, we present the Teddy Talk Test. Using a sample of sixteen children aged 4 to 5 years, we examined whether the test provided representative data on child language development. The parent questionnaire included information on the parents’ education, the parents’ native language, the child’s gender and the language the parents speak with their child. It was found that the Teddy Talk Test has the characteristics of screening tests for speech and language: it is time-efficient, it covers receptive and expressive language tasks, and it allows for rapid assessment of speech and language in large numbers of children. However, since the Teddy Talk Test has not yet been evaluated, we do not know its value regarding sensitivity, specificity and predictive validity.

Considering the importance of the results of national and international standardized tests, which are a benchmark for measuring educational quality, the objective of this research was to model strategies to improve the results of the evaluations, specifically the Saber 11 standardized tests. These tests are applied to students who finish their Vocational Education and Training (VET) in Bogotá, Colombia. To achieve this objective, we employed the Systems Dynamics methodology for a comprehensive analysis, which is a tool that allows for the analysis and projecting of the behavior of different systems, in which anticipation by means of modeling results over time is required. The modeling was conducted in two stages: First, a causal loop diagram and a stock-and-flow diagram that linked 45 variables were designed, showing the underlying physical structure of the system. Then, five groups of alternative simulations were conducted over a time frame of six years: Reference mode, student self-efficacy rate, management rate, teaching competencies rate, and educational policy. An increase in results was observed in each scenario. The combined activity of educational stakeholders is a notably effective strategy to achieve significant improvements. The data used for these simulations came from a six-year period of standardized test results in Bogotá. This period was selected to capture both recent trends and long-term outcomes, ensuring that the model reflects current educational conditions while allowing for meaningful trend analysis.

This umbrella review aimed to synthesize variables that explain dropout among students in preschool, primary, secondary, and high school education. The study focused on peer-reviewed articles indexed in SCOPUS, Web of Science, and ERIC, identifying five systematic reviews that provided comprehensive insights. Key findings revealed individual factors, such as insufficient parental support, emotional and behavioral challenges, and substance use, play significant roles in influencing student dropout. Socioeconomic factors, including poverty, financial constraints, and social inequalities, were also identified as critical contributors. Additionally, institutional elements such as inadequate school infrastructure, insufficient teacher training, and a lack of culturally relevant resources emerged as barriers to student retention. This review highlights research gaps in political-legislative, sociocultural, and family determinants, longitudinal analyses, dropout interventions’ long-term effectiveness, and marginalized populations’ representation, limiting a comprehensive understanding of student dropout and effective policy development. Recommendations include targeted policies and interventions that foster inclusive and supportive educational environments, reduce inequities, and improve access to resources to minimize dropout rates among students in preschool, primary, secondary, and high school education.