Measurement uncertainty is a key topic in the university physics laboratory curriculum. In this study, we investigate students' ability to draw conclusions from measurement data and reasoning about measurement uncertainty in inquiry labs. This investigation centres around a task where students conclude whether measurements from two experiments…

This article reports on a study investigating how computational essays can be used to help students in higher education STEM take up disciplinary epistemic agency--cognitive control and responsibility over one's own learning within the scientific disciplines. Computational essays are a genre of scientific writing that combine live, executable…

An inquiry-based learning approach was implemented into comprehensive organic chemistry experiments focusing on the formation process of N-phenylbenzamide from the reaction between N-benzylideneaniline and benzoyl peroxide in commercial dimethyl sulfoxide. Students conducted comparative experiments using alternative reagents or reaction conditions…

This article reports how physics pre-service teachers (PSTs) organize their investigations during an exploratory data analysis scenario, which we call scientific investigations by data exploration. In order to analyze the PSTs' investigations, we developed a learning environment in which learners investigate aspects influencing the particulate…

Abstract Targeted metagenomics is a rapidly expanding technology to analyze complex biological samples and genetic monitoring of environmental samples. In this research field, data analytical aspects play a crucial role. In order to teach targeted metagenomics data analysis, we developed a 4-week inquiry-driven modular course-based undergraduate…

In today's data-centric world, knowledge and skills in business analytics (BA) have become critical for business professionals to the extent that Foundation BA courses are increasingly being recognised globally as the core component of business programs. However, these courses are characterised by large cohorts of students from diverse backgrounds…

Helping pre-service teachers (PSTs) develop competencies in collaborative inquiry and knowledge building is crucial, but this subject remains largely unexplored in CSCL. This study examines the design and process of collaborative analytics-supported reflective assessment and its effects on promoting PSTs to develop their competencies in…

Understanding data analysis and interpreting data are key components of teaching interdisciplinary undergraduate students. We detail a semester-long research project that introduces students to long-term data sets, incorporates the use of widely available statistical analysis, and underscores an inquiry-based method of teaching climate change. Our…

Primarily methodological in its orientation, this paper offers a presentation of 'research outcomes' in ways that challenge and disrupt commonplace notions of data and analysis. In an attempt to write against the grain of conventional qualitative research practice and to experiment with alternative encounters with data and analysis, I present…

To succeed, undergraduate science students need to both acquire knowledge, and learn to apply it effectively. Here a novel 1st year undergraduate module (incorporating blended learning, applied bioinformatic skills and scientific posters) is described and its effectiveness evaluated (quantitatively and qualitatively). The aims were to engage…

Organizational patterns can serve as a teaching strategy for instructors and as a learning tool for students to develop their expository writing skills, which are commonly required for assignments (for example, laboratory reports and research papers) in Food Science courses and in their future careers. The article discusses the importance of…

This article examines student engagement in an inquiry-based learning activity, planned to provide students with elements in the social, epistemic, and conceptual dimensions related to the scientific practice in immunology. The activity was applied to 39 groups of students enrolled in immunology or biochemistry courses in a public university in…

This paper explores students' ability to analyse and interpret empirical data as inadequate data analysis skills and understandings may contribute to the renowned disappointing outcomes of practical work in secondary school physics. Selected competences, derived from a collection of leading curricula, are explored through interviews and practical…

Self-regulated learning conducted through metacognitive monitoring and scientific inquiry can be influenced by many factors, such as emotions and motivation, and are necessary skills needed to engage in efficient hypothesis testing during game-based learning. Although many studies have investigated metacognitive monitoring and scientific inquiry…

Current research indicates that inquiry-based learning should be guided in order to achieve optimal learning outcomes. The need for guidance is even greater when simulations are used because of their high information content and the difficulty of extracting information from them. Previous research on guidance for learning with simulations has…