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1.
Computer science education in ChatGPT Era: experiences from an experiment in a programming course for novice programmers
Tomaž Kosar, Dragana Ostojić, Yu David Liu, Marjan Mernik, 2024, original scientific article

Abstract: The use of large language models with chatbots like ChatGPT has become increasingly popular among students, especially in Computer Science education. However, significant debates exist in the education community on the role of ChatGPT in learning. Therefore, it is critical to understand the potential impact of ChatGPT on the learning, engagement, and overall success of students in classrooms. In this empirical study, we report on a controlled experiment with 182 participants in a first-year undergraduate course on object-oriented programming. Our differential study divided students into two groups, one using ChatGPT and the other not using it for practical programming assignments. The study results showed that the students’ performance is not influenced by ChatGPT usage (no statistical significance between groups with a p-value of 0.730), nor are the grading results of practical assignments (p-value 0.760) and midterm exams (p-value 0.856). Our findings from the controlled experiment suggest that it is safe for novice programmers to use ChatGPT if specific measures and adjustments are adopted in the education process.
Keywords: large language models, ChatGPT, artificial intelligence, controlled experiment, object-oriented programming, software engineering education
Published in DKUM: 12.08.2024; Views: 59; Downloads: 7
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An experimental investigation of BPMN-based corporate communications modeling
Gregor Polančič, Boštjan Orban, 2023, original scientific article

Abstract: Purpose Despite corporate communications having an immense impact on corporate success, there is a lack of dedicated techniques for their management and visualization. A potential strategy is to apply business process management (BPM) approach with business process model and notation (BPMN) modeling techniques. Design/methodology/approach The goal of this study was to gain empirical insights into the cognitive effectiveness of BPMN-based corporate communications modeling. To this end, experimental research was performed in which subjects tested two modeling notations – standardized BPMN conversation diagrams and a BPMN extension with corporate communications-specific concepts. Findings Standard conversation diagrams were demonstrated to be more time-efficient for designing and interpreting diagrams. However, the subjects made significantly fewer mistakes when interpreting the diagrams modeled in the BPMN extension. Subjects also evolved positive perceptions toward the proposed extension. Practical implications BPMN-based corporate communications modeling may be applied to organizations to depict how formal communications are or should be performed consistently, effectively and transparently by following and integrating with BPM approaches and modeling techniques. Originality/value The paper provides empirical insights into the cognitive effectiveness of corporate communications modeling based on BPMN and positions the corresponding models into typical process architecture.
Keywords: corporate communication, BPMN, controlled experiment, conversation diagrams, cognitive effectiveness, modeling
Published in DKUM: 26.03.2024; Views: 224; Downloads: 29
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4.
Improving comprehension of process diagrams with Graphical highlights
Gregor Jošt, 2018, doctoral dissertation

Abstract: The main purpose of business process diagrams is to facilitate the communication between the process-related stakeholders, which directly affects the decision-making. For this reason, they must be easy to understand. However, this is often challenging to achieve, since business process diagrams can become large and complex. This, in turn, can negatively affect their correctness and understandability. The goal of this doctoral thesis was to propose and investigate an approach that makes business process diagrams appear less complex, without changing the corresponding diagrammatic notation or the business process diagrams themselves. This was done by manipulating the opacity of graphical elements in order to emphasize the important parts of a business process diagram by lowlighting the irrelevant ones. The proposed solution, named Emphasis, implemented with opacity-based Graphical Highlight pattern, abbreviated as simply Graphical highlights, was subsequently applied to sample business process diagram, modeled in Business Process Model and Notation (BPMN). The analysis demonstrated that the structural complexity of the business process diagrams decreased when the proposed solution was applied. Afterwards, a Web application prototype was implemented, which supports the proposed set of Graphical highlights. Furthermore, we empirically validated whether Graphical highlights positively impact cognitive effectiveness of business process diagrams, and if the users will find the prototype implementation useful. To this end, an experimental research, which included 85 participants, was conducted. The participants were randomly assigned in either the treatment group (Graphical highlights diagram representation approach), or the control group (conventional diagram representation approach). In accordance with the definition of cognitive effectiveness, speed, ease, and accuracy of answering 26 comprehension questions were observed, along with the perceived usefulness of the prototype. The results of the analysis demonstrated that participants who used Graphical highlights significantly outperformed those that used the conventional approach in all experiment's observations. We can conclude that using Graphical highlights increases the cognitive effectiveness of business process diagrams, while the corresponding prototype implementation is perceived as being useful.
Keywords: process diagrams, emphasis, graphical highlights, cognitive effectiveness, controlled experiment, prototype implementation, BPMN
Published in DKUM: 21.12.2018; Views: 2454; Downloads: 168
.pdf Full text (3,40 MB)

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