Nowadays, solving problems is substantial for the social relationship human. Computational Thinking (CT) emerges as an interdisciplinary thought process encompassing mental abilities to help students solve and understand problems. Researchers invest in the methodological proposal of activities aimed at CT stimulation, educational approaches, and…

This study investigates preservice science teachers' informal reasoning and scientific habits of mind about hydroelectric power plants. The sample of the study consists of 587 preservice science teachers who studied in four different universities in the Eastern Black Sea region of Turkey. Data were collected through a questionnaire that consists…

Organic reaction mechanisms are often represented by the electron-pushing formalism and reaction coordinate diagrams. These representations pose a challenge to students because valuable information is encoded within each representation, and students must know how to reason about mechanisms using both. Hence, it is important to understand whether…

Teaching students to use critical thinking skills is a popular goal of many economics courses. But what does "critical thinking" really mean, and how is it implemented? This article considers various interpretations of "critical thinking" and distinguishes "big-think" from "little-think" critical thinking,…

The research aimed at studying and comparing the futuristic thinking of Grade 9 students studying in schools of different sizes. The samples of the research were Grade 9 students of semester 2 in academic year 2020 in Sisaket Province, Thailand. The multi-stage random sampling technique was employed for the selection of 860 students from 12…

In this study we investigated pre-service teachers' (PSTs) proportional reasoning and how they interpret their calculations in proportional tasks. We administered a written questionnaire to 199 PSTs and used an inductive content analysis approach for data analysis. We found that one item, in which PSTs were asked to interpret the meaning of the…

Adaptive reasoning is one of five components students use to develop mathematical expertise and become mathematically proficient. When students adapt their reasoning they are logically thinking about the mathematical relationships between concepts and adapting their thinking to solve problems. Three Act Math Tasks are popular math problems used in…

Society needs transdisciplinary citizens with good scientific literacy. One way to achieve this could be through the use of areas or subjects for which students have more affinity and expertise. This study seeks to maximize the chemistry learning of students who want to be musicians, through the use of analogies. Analogies are a powerful tool to…

This study examines the use of ChatGPT, in conjunction with other applications, Grammarly and Quillbot, as an automated writing evaluation (AWE) tool in a Recount and Narrative essay course for 18 English as a Foreign Language (EFL) students in Indonesia. The primary objective was to investigate the impact of these tools on the development of…

Referring to the advantages of intelligent personal assistants, or virtual agents, Charades can be implemented with a Chatbot to enhance students' vocabulary mastery. However, only a few studies have addressed the effectiveness of learning through practice with chatbots based on the Charades approach. We designed a Charades game using Google…

Aptitude-treatment interaction (ATI) research is of both theoretical and practical interest to second language (L2) learning, since it provides insights into the processes linking learner-internal individual difference factors and learner-external contextual variables including instructional approach--variables that jointly determine L2 outcomes.…

Beta-adrenergic receptors ([beta]-ARs) prime hippocampal synapses to stabilize long-term potentiation (LTP). This "metaplasticity" can persist for 1-2 h after pharmacologic activation of [beta]-ARs. It requires activation of PKA (cAMP-dependent protein kinase) during [beta]-AR priming. A-kinase anchoring proteins (AKAPs) tether PKA to…

Computer modeling promotes mechanistic reasoning when learners build and analyze models of complex systems to explore causal mechanisms and use models to generate patterns. StarLogo Nova (SLN), an agent-based modeling (ABM) environment, enables novice programmers to model a system's individual components and investigate its emergent, collective…

This paper discusses, compares, and contrasts 4 different models for bringing evidence from randomised controlled trials (RCTs) into practice and into practical reasoning. I look at what questions the models can and cannot answer, what role they accord to RCT evidence, and what their possible attraction for practitioners might be. The models are…

Perspective taking is a critical yet tangled construct that is used to describe a range of psychological processes and that is applied interchangeably with related constructs. The resulting ambiguity is particularly vexing in science education, where although perspective taking is recognized as critical to informed citizens' ability to negotiate…