Environmental content is becoming increasingly important in schools, but teachers may have difficulty grasping accurate knowledge. This study investigated how student teachers construct a conceptual understanding of biodiversity loss in an online environment. Sixty-five first-semester primary student teachers at a Finnish university were given the…

Research-based multiple-choice questions implemented in class with peer instruction have been shown to be an effective tool for improving students' engagement and learning outcomes. Moreover, multiple-choice questions that are carefully sequenced to build on each other can be particularly helpful for students to develop a systematic understanding…

Legal language is characterized by its specialized lexicology, often formed through derivational processes such as affixation, nominalization, and semantic derivation, making legal texts more challenging to understand. This research examined how university students majoring in legal English linguistics recognize, interpret, and manage the…

The present study explored the antecedents and potential solutions to boredom in online English classrooms from the perspectives of 105 Thai EFL university students. Guided by a qualitative approach, an open-ended survey and semi-structured interviews were used to collect the data. The thematic analysis of the data revealed nine antecedents that…

Massive Open Online Courses (MOOCs) have become increasingly popular as a means of delivering education on a global scale. However, comparative analyses across different contexts remain limited. To enhance the effectiveness and inclusivity of MOOCs, it is essential to gain a deeper understanding of course characteristics and learner behaviors in…

Purpose: The present study aimed to validate the Indonesian-language version of the psychological capital questionnaire (PCQ), specifically within the context of higher education, by utilising Rasch analysis to evaluate the reliability and validity aspect such as item-fit statistics, rating scale function, and differential item functioning of the…

This study examined the psychometric quality of multiple-choice questions generated by two AI tools, ChatGPT and DeepSeek, within the context of an undergraduate Educational Measurement and Evaluation course. Guided by ten learning outcomes (LOs) aligned with Bloom's Taxonomy, each tool was prompted to generate one five-option multiple-choice item…

Frequency graph types differ in the way how data are translated into visual representations. We compared 2 visualization methods, a traditional circular representation (pie chart) and a rectangular representation (constant column width tree map), which were hypothesized to differ regarding the cognitive ease of visual comparison processes.…

Purpose : The study adapted the Career Decision Making Difficulties Questionnaire for the Arab world. The purpose of the study was to test a popular but scientifically unverified belief that people who were employed could experience less CDD. Design/methodology/approach: Career Decision-Making Difficulties Questionnaire was administered to a…

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)…

This study investigated the effects of pre-training types on the cognitive load, collaborative knowledge construction and level of learning in a computer-supported collaborative learning environment. Pre-training was provided to help learners optimise their cognitive load, build accurate shared-knowledge and achieve successful deep learning. The…

Evolutionary trees are central to learning about evolutionary processes, yet students at all educational levels struggle to read and interpret them. The synthetic tree-reading model (STREAM), based on published and not yet empirically tested models, was tested to determine whether the assumed hierarchy of the model could be substantiated and how…

In line with the attention-to-affect model, this study employed a game that encompasses Gestalt perception to explore how extraneous cognitive load (ECL) and gameplay anxiety correlate with attitude towards exploitative learning and attitude towards explorative learning as students play the Visual-Saliency game (VSG) with images of artworks. The…

In contrast with the assumptions made in standard measurement models used in large-scale assessments, students' performance may change during the test administration. This change can be modeled as a function of item position in case of a test booklet design with item-order manipulations. The present study used an explanatory item response theory…

Effectively evaluating the credibility and accuracy of multiple sources is critical for college readiness. We developed 24 source evaluation tasks spanning four predicted difficulty levels of a hypothesized learning progression (LP) and piloted these tasks to evaluate the utility of an LP-based approach to designing formative literacy assessments.…