This study investigates the effect of survey order in measuring self-reported cognitive load. Understanding how survey order influences responses is crucial, but it has been largely overlooked in the context of cognitive load. Using a 2 × 2 experimental design with 319 high school students, the study manipulated intrinsic cognitive load (ICL)…

Currently, there is little evidence about how non-English-speaking students learn computer programming. For example, there are few validated assessment instruments to measure the development of programming skills, especially for the Spanish-speaking population. Having valid assessment instruments is essential to identify the difficulties of the…

Designing and constructing pedagogical tests that contain items (i.e. questions) which measure various types of skills for different levels of students equitably is a challenging task. Teachers and item writers alike need to ensure that the quality of assessment materials is consistent, if student evaluations are to be objective and effective.…

Mental health education in colleges and universities has made considerable progress, but the existing assessment model still faces challenges in terms of time overhead and rank indicators. In response, this paper proposes a new psychological education assessment model for colleges and universities, based on multimedia feature extraction…

Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…

Assessing cognitive demand is crucial for research on self-regulated learning; however, discrepancies in translating essential concepts across languages can hinder the comparison of research findings. Different languages often emphasize various components and interpret certain constructs differently. This paper aims to develop a translingual set…

Systems thinking (ST) is an essential competence for future life and biology learning. Appropriate assessment is critical for collecting sufficient information to develop ST in biology education. This research offers an ST framework based on a comprehensive understanding of biological systems, encompassing four skills across three complexity…

This study focuses on creating a reliable and valid instrument to measure high school students' perceptions of academic challenge. The research is divided into four phases: qualitative analysis, item development, exploratory factor analysis (EFA), and validation. Initial data from college students' retrospective views and high school students'…

This paper describes the design and evaluation of the Organic chemistry Representational Competence Assessment (ORCA). Grounded in Kozma and Russell's representational competence framework, the ORCA measures the learner's ability to "interpret," "translate," and "use" six commonly used representations of molecular…

For more than 2 decades, Karin Hess has worked with the concept of depth of knowledge (DOK) and expanded applications of cognitive rigor across content areas and grade levels, proving that every student can experience deeper learning. This interactive book offers a self-guided journey beginning with the basics: what DOK is, what it is not, and…

Background/purpose: The purposes of this research are to develop a reliable and valid assessment tool for measuring systems thinking skills in upper primary students in Thailand and to establish a normative criterion for evaluating their systems thinking abilities based on educational standards. Materials/methods: The study followed a three-phase…

The test blueprint is important in test development, where it guides the test item writer in creating test items according to the desired objectives and specifications or characteristics (so-called a priori item characteristics), such as the level of item difficulty in the category and the distribution of items based on their difficulty level.…

Tools to measure autism knowledge are needed to assess levels of understanding within particular groups of people and to evaluate whether awareness-raising campaigns or interventions lead to improvements in understanding. Several such measures are in circulation, but, to our knowledge, there are no psychometrically-validated questionnaires that…

Test development is a complicated process that demands examining various factors, one of them being writing items of varying difficulty. It is important to use items of a different range of difficulty to ensure that the test results accurately indicate the test-taker's abilities. Therefore, the factors affecting item difficulty should be defined,…

Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…