Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…

This study analyzed the fit of data collected with the Measure of Engagement, Independence, and Social Relationships for 3- to 5-year-olds (MEISR 3-to-5-years-old) to a proposed theoretical model based on the cross-walk of MEISR 3-to-5-years-old items and codes from 7 chapters of the Activities and Participation component of the International…

The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…

There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…

Intensive longitudinal data is increasingly used to study state-like processes such as changes in daily stress. Measures aimed at collecting such data require the same level of scrutiny regarding scale reliability as traditional questionnaires. The most prevalent methods used to assess reliability of intensive longitudinal measures are based on…

Manipulation checks are an essential component of quality experimental design in motor learning. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, this methodological systematic review examined the utilization of manipulation checks in focus of attention research. Seventy-eight protocols from four…

Purpose: Overall quantitative research aims to observe certain fundamental principles of logic and scientific frame of reasoning. There continues to be challenges on how quantitative research is conducted in the field of information systems. Design/methodology/approach: Structured equation modelling (SEM) research identifies concerns about the…

This paper reports how I addressed the issue of extensive missing values in my PhD study, "Digital Competencies of High School Mathematics Teachers". I collected data using an online survey. Several methods exist to address the issue of missing values. I utilised multiple imputation (MI) as it provides more accurate results. The mean…

Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…

K-12 Engineering Education has placed a lot of attention on students' attitudes or predispositions towards science and technology. However, most assessment methods are focused on STEM as a whole or only on technology. In this article, we will discuss the instrument called Technology and Engineering Attitude Scale (TEAS) which focuses on attitudes…

For investigating a comprehensive PLC framework, instruments are needed that capture the multi-layered PLC characteristics and that take into account the complex influencing educational context. Such instruments are currently lacking. This study aims at describing the development and validation of two qualitative classification instruments usable…

One of the areas subsumed under the data-based decision making and accountability practice identified in the National Association of School Psychologists' (NASP) "Model for Integrated School Psychological Services" is to collect information on psychological and educational variables to make decisions at a number of levels of service…

In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…

Though extensively documented, the exact mechanism responsible for pattern formation on insect bristles and scales is not completely understood. Using both scanning and transmission electron microscopy, we assemble a rough time series of pattern formation on butterfly wing scales. We also perform a numerical simulation of the Swift-Hohenberg…

This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…