Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

For more than three decades, cognitive load theory has been addressing learning from a cognitive perspective. Based on this instructional theory, design recommendations and principles have been derived to manage the load on working memory while learning. The increasing attention paid to cognitive load theory in educational science quickly…

Processing speed is a component of general intelligence and an indicator of learning potential. There is a need for robust measures of mental speed based on contemporary theoretical developments. The current study addressed this need by proposing a mental speed test for children aged 60 to 96 months (5 to 8 years) and examining its psychometric…

The cognitive load imposed by instruction is an important consideration for instructional designers. Theoretical models have traditionally divided total cognitive load into intrinsic, extrinsic, and germane load. The 10-item Cognitive Load Inventory (CLI-10) is designed to measure these three types of cognitive load. It is typically administered…

Objective: This study aims to evaluate sources of validity and reliability of the University Student Engagement Inventory among Indian Students. Method: The data of this study was collected from 518 Indian university students in the design of a cross-sectional study from May to June 2022. Then the validity and reliability of the inventory were…

In the current study, we aimed to develop a reliable and valid scale to address individual cognitive load types. Existing scale development studies involved limited number of items without adequate convergent, discriminant and criterion validity checks. Through a multistep correlational study, we proposed a three-factor scale with 13 items to…

Online metacognitive skills are the real-time awareness of cognition, which can effectively promote science learning and improve performance in solving scientific problems. Therefore, it is important to enhance and diagnose students' online metacognitive skills in science education. This study aimed to evaluate ninth-grade students' online…

The aim of this study is to conduct a validity and reliability study for adaptation of the scale of learning strategies (the Motivated Strategies for Learning Questionnaire) to Turkish, which was developed by Pintrich, Smith, Garcia and McKeachie (1991) and adapted by Meijs et al. (2019) for distance education students. The Scale of Learning…

Children's development during early childhood affects their well-being and educational success, but there are few reliable assessment instruments available. The aim of the study was to develop, pilot and validate an e-assessment instrument for assessing five-year-old children's development in cognitive processes, learning, language and…

This study provides preliminary evidence for reliability and validity of the Hawaii Early Learning Profile Strands 0-3 (HELP Strands 0-3), an assessment instrument for young children. First, the degree of interobserver agreement for a sample of representative HELP items was examined; results indicated that HELP scoring was dependable and…

Background: The Questionnaire on Attitudes Consistent with Sexual Offending (QACSO) is an assessment developed by Lindsay, Whitefield, Carson, Broxholme and Steptoe (2004). The QACSO was designed to assess cognitive distortions relating to sexual offending in males with intellectual disabilities (ID). Cognitive distortions form part of the offence…

The aim of this study is to develop a Disciplined Mind Scale (DMS) in order to determine the disciplined mind features of 4th grade students. Considering that students around the age of 11 can have some scientific thinking skills, it is thought that the disciplined mind features of 4th grade students should be determined. The sample of this…

Reasoning for complexity is a fundamental competency in these complex times for solutions to social problems and decision-making. The purpose of this paper is to demonstrate the validity and reliability of the eComplexity instrument by presenting its psychometric properties. The instrument consists of a Likert-type scale questionnaire designed to…

Measuring cognitive load is important in virtual learning environments (VLE). Thus, valid and reliable measures of cognitive load are important to support instructional design in VLE. Through three studies, we investigated the validity and reliability of Leppink's Cognitive Load Scale (CLS) and developed the extraneous cognitive load (EL)…

Unlike other data collection modes, the effect of labeling rating scales on reliability and validity, as relevant aspects of measurement quality, has seldom been addressed in online surveys. In this study, verbal and numeric rating scales were compared in split-ballot online survey experiments. In the first experiment, respondents' cognitive…