Now showing 1 - 10 of 47
  • Publication
    Engaging Minds – How Gamified Chatbots can Support and Motivate Learners in Digital Education
    ( 2024-01-06)
    Dennis Benner
    ;
    Sofia Schöbel
    ;
    ;
    Blended and online learning is growing, and self-regulated learning is becoming more relevant. Most often, students struggle with organizing their own learning processes, lose focus or procrastinate. Keeping learners motivated and engaged can be a real challenge. Therefore, we present gamified chatbots as a potential solution. On the one hand, chatbots can provide a more engaging learning experience. On the other hand, gamification can provide motivational incentives to keep learners engaged and motivated. So far, not many studies have elaborated on how gamification can be effectively used to make a chatbot interaction more engaging or improve the learning experience. This study uses an experimental approach to distinguish how a combination of badges and a progress bar can support and motivate learners to stay engaged with their learning activities. We elaborate on the effects of gamified chatbots and support practitioners with guidance on how to design gamified chatbots in education.
    Type:
    Journal:
  • Publication
    Designing Pedagogical Conversational Agents for Achieving Common Ground
    ( 2023)
    Antonia Tolzin
    ;
    Anita Körner
    ;
    Ernestine Dickhaut
    ;
    ;
    Ralf Rummer
    ;
    As educational organizations face difficulties in providing personalized learning material or individual learning support, pedagogical conversational agents (PCAs) promise individualized learning for students. However, the problem of conversational breakdowns of PCAs and consequently poor learning outcomes still exist. Hence, effective and grounded communication between learners and PCAs is fundamental to improving learning processes and out-comes. As understanding each other and the conversational grounding is crucial for conversations between humans and PCAs, we propose common ground theory as a foundation for designing a PCA. Conducting a design science research project, we propose theory-motivated design principles and instantiate them in a PCA. We evaluate the utility of the artifact with an experimental study in higher education to inform the subsequent design iterations. We contribute design knowledge on conversational agents in learning settings, enabling researchers and practitioners to develop PCAs based on common ground research in education and providing avenues for future research. Thereby, we can secure further understanding of learning processes based on grounding communication.
    Type:
    Journal:
    Scopus© Citations 1
  • Publication
    Sharing Design Knowledge Through Codification in Interdisciplinary DSR Collaborations
    ( 2023-01-06)
    Dickhaut, Ernestine
    ;
    ;
    Hevner, Alan
    ;
    The goals of design science research (DSR) projects are to generate novel and useful artifacts and to produce rigorous and generalizable design knowledge. Often, DSR projects are conducted in collaborative, interdisciplinary project teams. Different disciplinary approaches to codifying design knowledge result in challenging project interactions. To study this situation, we analyze design knowledge codification in interdisciplinary teams over time. We gain insights from a survey of recent DSR papers that have been published in the AIS Senior Scholars’ Basket. We then present a detailed case study of a longitudinal project that brought to light issues of sharing design knowledge across disciplinary borders. Drawing from the survey and case study, we provide actionable guidance on how to effectively codify and share design knowledge to support researchers and practitioners to build useful artifacts and to make interdisciplinary design knowledge contributions reusable and applicable.
    Type:
    Journal:
  • Publication
    Automotive Manufacturers and Their Stumble from one Supply Crisis to Another: Procurement Departments Could be the Game Changer by Using Data Analytics, but…
    ( 2023-01-06)
    Klee, Sven
    ;
    ;
    With this paper, we examine the use of data analytics for crisis management in automotive procurement departments. Possible business values of data analytics were part of numerous research approaches. Nevertheless, automotive manufacturers are repeatedly confronted with supply chain disruptions. Procurement departments have a central role within supply chains and are predominantly responsible for stable supply processes. Taking into account the potential of data analytics, such crises should be avoided or at least mitigated. Thus, there is the question, why data analytics cannot currently help automotive procurement departments by facing such crises. We therefore evaluate problems and obstacles by implementing and using data analytics in automotive procurement departments. Therefore, we talk to experienced procurement experts for evaluating practical insights. With our findings we provide practical insights and applicable recommendations for action with the goal of helping procurement leaders to better leverage data analytics for meeting current and future crises.
    Type:
    Journal:
  • Publication
    Measuring students’ argumentation skills: validation of a test instrument
    ( 2023-08-22)
    Yvonne Berkle
    ;
    ;
    Löfflad, Denise
    ;
    Denise Löfflad
    ;
    ;
    Miriam Leuchter
    The importance of argumentation skills for academic disciplines is well evident. Two core aspects of argumentation skills are a) the recognition of argumentation fallacies and b) the recognition of the structure of arguments. These two argumentation skills might be related to domain-specific knowledge. In our study, we aim to evaluate an instrument to assess the recognition of argumentation fallacies and the structure of arguments in the context of different domains. Thus, we implemented a self-developed instrument to measure both argumentation skills in different student groups (business economic students and pre-service teachers) in different domains: a) the study-domain of their own courses, b) the study-domain of the respective other courses and c) a neutral domain (sustainability). We assumed these three domains to represent different dimensions within the ability to recognize argumentation fallacies and within the ability to recognize argument structures. This assumption could not be confirmed, what leads to the assumption that our instrument captures cross-domain argumentation skills. However, our research implies a difference in the recognition of formal compared to informal argumentation fallacies. Furthermore, the results indicate that the instrument measures argumentative skills in both groups of students equally well.
    Type:
    Journal:
  • Publication
    Type:
    Journal:
    Volume:
  • Publication
    Conceptualizing Design Knowledge in IS Research – A Review and Taxonomy of Design Knowledge Properties
    ( 2022-01-07)
    Dickhaut, Ernestine
    ;
    ;
    Design science projects are of great interest in information systems (IS) research. Typically, design-oriented projects generate valuable design knowledge through the design and possible instantiation of artifacts. Although designing novel artifacts and accumulating design knowledge is common practice in IS, there is still limited shared knowledge about the distinctive characteristics of design knowledge to facilitate its accumulation. To address this issue, we develop a design knowledge taxonomy and contribute to a deeper understanding of design knowledge properties. The taxonomy is grounded on a systematic literature review, followed by a combination of empirical-to-conceptual and conceptual-to-empirical iterations. We evaluate the taxonomy by interviewing six domain experts and demonstrate its practical application and utility. Thus, the taxonomy consists of key dimensions and characteristics of design knowledge and contributes to a better scientific understanding of its characteristics. Practitioners can use the taxonomy as an instrument to further understand, design, and accumulate design knowledge.
    Type:
    Journal:
  • Publication
    How Conversational Agents Relieve Teams from Innovation Blockages
    Innovation is one of the most important antecedents of a company's competitive advantage and long-term survival. Prior research has alluded to teamwork being a primary driver of a firm's innovation capacity. Still, many firms struggle with providing an environment that supports innovation teams in working efficiently together. Thereby, a team's failure can be attributed to several factors, such as inefficient working methods or a lack of internal communication that leads to so-called innovation blockages. There are a number of approaches that are targeted at supporting teams to overcome innovation blockages, but they mainly focus on the collaboration process and rarely consider the needs and potentials of individual team members. In this paper, we argue that Conversational Agents (CAs) can efficiently support teams in overcoming innovation blockages by enhancing collaborative work practices and, specifically, by facilitating the contribution of each individual team member. To that end, we design a CA as a team facilitator that provides nudges to reduce innovation blocking actions according to requirements we systematically derived from scientific literature and practice. Based on a rigorous evaluation, we demonstrate the potential of CAs to reduce the frequency of innovation blockages. The research implications for the development and deployment of CAs as team facilitators are explored.
    Type:
    Journal:
  • Publication
    “I Will Follow You!” – How Recommendation Modality Impacts Processing Fluency and Purchase Intention
    ( 2022-12-09)
    Schwede, Melanie
    ;
    ; ;
    Hammerschmidt, Maik
    ;
    Although conversational agents (CA) are increasingly used for providing purchase recommendations, important design questions remain. Across two experiments we examine with a novel fluency mechanism how recommendation modality (speech vs. text) shapes recommendation evaluation (persuasiveness and risk), the intention to follow the recommendation, and how modality interacts with the style of recommendation explanation (verbal vs. numerical). Findings provide robust evidence that text-based CAs outperform speech-based CAs in terms of processing fluency and consumer responses. They show that numerical explanations increase processing fluency and purchase intention of both recommendation modalities. The results underline the importance of processing fluency for the decision to follow a recommendation and highlight that processing fluency can be actively shaped through design decisions in terms of implementing the right modality and aligning it with the optimal explanation style. For practice, we offer actionable implications on how to make effective sales agents out of CAs.
    Type:
    Journal: