Traditional IRT and IRTree models are not appropriate for analyzing the item that simultaneously consists of multiple-choice (MC) task and constructed-response (CR) task in one item. To address this issue, this study proposed an item response tree model (called as IRTree-MR) to accommodate items that contain different response types at different…

Given the widespread presence of competition in educational settings and its complex impact on science learning, how students complete tasks in competitive environments has attracted a wide range of attention. The purpose of this study is to compare students' performance on physics conceptual questions in noncompetitive and competitive…

The intricate relationship between representational competence and content knowledge in organic chemistry has been widely debated, and the ways in which representations contribute to task difficulty, particularly in assessment, remain unclear. This paper presents a multiple-choice test instrument for assessing individuals' knowledge of fundamental…

Introduction: Students often answer questions from available expository texts for assessment and learning purposes. These activities require readers to activate not only meaning-making processes (e.g., paraphrases or elaborations), but also metacognitive operations (e.g., monitoring readers' own comprehension or self-regulating reading behaviors)…

In the present study, we recorded the eye movements of 20 criterion-based selected trainee teachers in economics while they responded to 25 single choice (SC) items in an economic content knowledge (CK) test and rated their confidence for each response in a digital assessment. By using a multilevel modeling approach with crossed random effects, we…

Prior research has emphasized that two-tier tests are an effective approach to guiding students through game tasks; furthermore, self-efficacy, which is potentially related to students' surroundings and academic performance, has a positive impact on students' cognitive outcomes in games. This implies the significance of conducting a study to probe…

Multiple-choice quizzes (MCQs) are a popular form of assessment. A rapid shift to online assessment during the COVID-19 pandemic in 2020, drove the uptake of MCQs, yet limited invigilation and wide access to material on the internet allow students to solve the questions via internet search. ChatGPT, an artificial intelligence (AI) agent trained on…

Three-dimensional (3D) digital anatomical models show potential to demonstrate complex anatomical relationships; however, the literature is inconsistent as to whether they are effective in improving the anatomy performance, particularly for students with low spatial visualization ability (Vz). This study investigated the educational effectiveness…

Digital games have been used in various disciplines to enhance students' learning interest and effectiveness through the gaming contexts. However, most of the digital educational games use multiple-choice questions to confirm students' learning status, implying the challenge of understanding the actual learning status of students. Also, the gaming…

The use of concurrent data elicitation procedures (e.g. think-alouds, eye-tracking, response time) to investigate learners' cognitive processing and processes is becoming more prominent in research designs as researchers seek to acquire a better understanding of how second language (L2) learners process L2 data (e.g. Martin et al., 2019; Rogers,…

This study investigates the effects of four online vocabulary tasks on second language (L2) vocabulary acquisition among learners of different proficiency levels. While tasks are widely used to support L2 vocabulary learning, the efficacy of a task depends on the interplay between task and learner factors. Thus, choosing an appropriate task…

Although an accurate measure of vocabulary size is integral to understanding the proficiency of language learners, the validity of multiple-choice (M/C) vocabulary tests to determine this has been questioned due to users guessing correct answers which inflates scores. In this paper the nature of guessing and partial knowledge used when taking the…

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…