Open Access Journals at Aalborg University
Not a member yet
6616 research outputs found
Sort by
Quantifying brand narratives in content marketing: Linguistic insights from Nike and Coca-Cola
Get PDFThis study investigates how linguistic patterns represent brand narratives within content marketing, focusing on Nike and Coca-Cola as examples. Through the analysis of 40 brand narratives from each brand, three core aspects are analysed, namely, how plot staging, plot progression, and cognitive tension emerge in these narratives and whether predictable linguistic patterns are used. The analysis with Linguistic Inquiry and Word Count (LIWC-22) shows that Nike emphasises action and athletic challenges, incorporating narrative features like staging, plot progression, and cognitive tension. Coca-Cola, on the other hand, focuses more on emotional appeal and brand heritage, while drawing on cognitive tension. However, both brands follow mostly predictable linguistic patterns that align with traditional storytelling structures. The study provides strategic insights for marketers on using language to create engaging, coherent brand stories that resonate emotionally with audiences.This study investigates how linguistic patterns represent brand narratives within content marketing, focusing on Nike and Coca-Cola as examples. Through the analysis of 40 brand narratives from each brand, three core aspects are analysed, namely, how plot staging, plot progression, and cognitive tension emerge in these narratives and whether predictable linguistic patterns are used. The analysis with Linguistic Inquiry and Word Count (LIWC-22) shows that Nike emphasises action and athletic challenges, incorporating narrative features like staging, plot progression, and cognitive tension. Coca-Cola, on the other hand, focuses more on emotional appeal and brand heritage, while drawing on cognitive tension. However, both brands follow mostly predictable linguistic patterns that align with traditional storytelling structures. The study provides strategic insights for marketers on using language to create engaging, coherent brand stories that resonate emotionally with audiences
Generative AI in Collaborative Learning Environments
Get PDFThis article introduces the special issue devoted to exploring generative AI in collaborative learning environments. It argues for this focus by referring to the limited work in the area, but at the same time exemplifies the limited existing research. It goes on to introduce the social-material and computer-supported collaborative learning (CSCL) perspectives that were encouraged in the call for the issue. Finally, the article introduces the contributions to the issue
Experimental AI Lab in Journalism and Communication
Get PDFIn this project we are investigating how generative artificial intelligence (GAI) can be didactically integrated into teaching with the goal to strengthen students' AI literacy. The focal point is creating an AI lab in the form of a scenario-based game, where journalism and communication students use AI tools collaboratively to produce content in a realistic scenario.
Students must produce content using GAI programmes in the scenario. After the game they must reflect on the AI tools' relevance and ethical implications in the scenario and the profession as such. The students’ experiences and critical reflections are essential in the project.
We also examine how we as educators can design the AI lab using GAI tools. In the making of the scenario and the tasks in the game, we have used ChatGPT and Midjourney to develop specific roles and situations of conflict during the game. The Gamemaster has also used ChatGPT during the games to develop the tasks for the groups. This makes the development of the scenario flexible and enables turning the story and the tasks in different directions.
The project is grounded in Reflective Practice-based Learning (RPL) and follows a Design-Based Research (DBR) approach
The Complementary Nature of Computational Thinking and Critical Making in a Project-based Learning (PjBL) course on Design for Manufacture (DfM)
Get PDFIn Engineering Project-based Learning (PjBL), learners often develop a physical prototype of a product, which provides an authentic context for the learning and experiential feedback on the design process. We often struggle as educators, however, to support learners in the analysis of the feasibility, viability and sustainability of the product when brought to production. This may be caused by the everchanging nature of supply chains and consumer demand, high capital costs associated to high production volumes, and the technical skills shortage within research-focused universities when considering how to scale commercial products for wide consumption.
In developing a new PjBL course at King’s College London, we study how learners develop competencies for integrated problem solving associated to design for manufacture (DfM). Acknowledging the steep learning curve required to support open-ended projects, we have intentionally pushed the boundaries of how the design process is supported by computational thinking techniques, including automated quoting engines and embodied carbon estimators, generative design techniques, geometric design advice, AI-assisted digital product passport generation, manufacturing simulation and automated operation and toolpath planning. We study how these teaching innovations compound to shape the ability of a student to critically change the geometry of a component in response to multi-variate performance metrics. To this end, we compare the geometric features of more than 60 CAD models submitted by learners in the second week of the course, compared to the final product submitted after 12 weeks at the end of the course. We link this analysis to a thematic analysis of short reports that highlight key trade-offs for cost, sustainability and other performance metrics.
This methodology allows us to evaluate our cohort’s decision-making process in selecting projects, computational techniques, and manufacturing strategies. The analysis reveals a strong yet nuanced relationship between the adoption and application of computational redesign tools and the quality and manufacturability of product designs. It also allows us to categorise various cognitive responses to the application of computational techniques in relation to DfM and relate these to outcomes
Design-Expert to Streamline Chemical Engineering Experimental Research and Development: Mixed-Method Perspectives
Get PDFThis paper presents an overview of Design-Expert, a statistical experimental design tool, in optimizing chemical engineering research and development. A mixed-method approach is adopted in the study by using quantitative literature findings of diverse experimental studies incorporating the use of Design-Expert and qualitative findings stemming from a focus group study with four cross-institutional chemical engineering research supervisors. While the quantitative literature studies demonstrate the effectiveness and capabilities of Design-Expert across multiple fields of study, the qualitative study is based on the perspectives, experiences and recommendations of the research supervisors concerning Design-Expert. The qualitative study was structured with five main sections: the integration of Design-Expert into research activities, the effectiveness and outcomes of Design-Expert, management of academic priorities incorporating the use of Design-Expert, research skills and development concerning the training of postgraduate students in applying Design-Expert into their research, and the broader impacts and collaborations facilitated by Design-Expert. Overall, the findings indicate substantial positive findings concerning the productivity and quality of research outcomes incorporating the use of Design-Expert. 
Teaching Control Systems with Interactive MATLAB Live Scripts
Get PDFControl engineering, as with many other engineering courses, are commonly taught using static course notes and lecture slides. These methods, however, often fail to elicit adequate student interest and understanding of the advanced mathematical and theoretical concepts fundamental to the subject. As a result, many students experience a disconnect with the content early in the course, leading to disinterest and poor academic performance. This paper presents the development of an interactive "live" textbook using MATLAB Live Scripts, providing a dynamic and engaging learning experience. This resource allows students to interact with the theoretical material in real-time, run simulations, adjust parameters, and immediately visualise the impact of their changes — all in a single, unified environment. The integration of LaTeX typeset equations and text, code blocks, dynamic diagrams, and high-level controls such as sliders and buttons empowers students to explore the subject matter deeply at their own pace, fostering a stronger connection and understanding of the material. The effectiveness of the interactive course material is evaluated using anonymous course evaluations, which assess key performance indicators such as understanding of course material and overall course satisfaction. Furthermore, key course statistics, such as pass rate and average mark, are compared over the past four years, showing significant improvements across all areas following the intervention of the developed interactive textbook.  
Mapping High School Science Teachers’ Approaches to STEMification: An Exploratory Cross-Case Analysis
Get PDFSTEM teaching is a promising approach to increase student interest in science across educational levels as it integrates disciplines in engaging ways mirroring real-world applications, emphasizing practices such as problem-solving, critical thinking, and hands-on engineering design. However, teachers’ approaches to implementing STEM teaching can vary significantly, depending on available resources, experience, subject, and contextual factors.
The STEMification model is a design and planning tool developed in the LabSTEM North project to support teachers´ professional development in STEM teaching. STEMification describes a teaching approach where students engage in science subjects and/or mathematics through inquiry-based learning (IBL) and/or problem-based learning (PBL) processes, involving experiential and collaborative STEM practices necessary to answer the students’ own questions related to the topic. In this paper, we use the model as a mapping tool to explore ways in which high school science teachers apply PBL and IBL principles in their STEM teaching.
Applying the model as a mapping tool during interviews helped teachers visualize and compare different IBL/PBL principles combined with diverse approaches to develop STEM teaching. The mapping also helped in redesigning the STEMification model, aiming to make it more applicable as a STEM teaching design and planning tool. 
Advancing Sustainable Marine Transportation: Offshore Floating Electric Vessel Charging Stations
No full textThe feasibility analysis of offshore floating charging stations (FCS) incorporating renewable energy sources (RES) in India and around the world presents a promising and pioneering solution to meet the emerging demands of maritime transport systems for sustainable development. The global shift towards sustainable transportation supports the increasing adoption of electric vessels (E-vessel), which forces the inclusion of innovative solutions for their reliable operation. This study includes a feasibility analysis of FCS combined with an energy management system for reliable operation. A real-time analysis was conducted at an offshore location in the Arabian Sea, near Gujrat, India, to assess the operational and implementation possibilities of FCSs in India, especially in the Exclusive Economic Zone (EEZ). An appropriate energy management system in the FCS tackles E-vessel demand changes, real-time variations in RES, and energy flow balance with reduced reliance on backup energy systems. The findings demonstrated a reduction of 70.2% in the backup energy requirement for the FCS, and the energy management system ensured that the FCS had an immense improvement in excess RES support to meet additional E-vessel demands. This paper also included a comparative analysis between an offshore location in India and one in Europe. This study underscores the potential of FCS to enhance the adoption of E-vessels in India’s and global marine transportation
Analysis of City Energy Systems Modeling Case Studies: A Systematic Review
Get PDFCities are adopting energy planning strategies and emission reduction targets in line with national decarbonization targets. Modeling and scenario assessments are used to support energy planning. City energy systems are complex systems including interactions and interdependencies, as well as the specifics of the local city context. To investigate the representation of city-specific system complexities in existing case studies, a systematic literature review methodology is applied, and model applications are analyzed using a comparative analysis framework. Additionally, research objective themes used to define the specific aims are explored. Key modeling characteristics include scale aspects, method description, system definition, scenario formulation, and case-specific model inputs. The findings of this study suggest that city case studies have a diverse representation of modeling approaches. However, the analysis of model characteristics shows a limited representation of modeling features, such as stakeholder participation and local air pollution impacts that are unique to the urban context. In terms of research objective themes behind the model application, four research themes are identified. Studies aimed at identifying pathways to future low-carbon energy systems and evaluating policy impacts on the city energy systems are the most stated research objective themes for modeling city energy systems