- Online Learning and Analytics
- Online and Blended Learning
- Innovative Teaching and Learning Methods
- Complex Network Analysis Techniques
- E-Learning and Knowledge Management
- Mental Health Research Topics
- Topic Modeling
- Social Media and Politics
- Opinion Dynamics and Social Influence
- Artificial Intelligence in Healthcare and Education
- Communication in Education and Healthcare
- Biomedical and Engineering Education
- Higher Education Practises and Engagement
- Mobile Crowdsensing and Crowdsourcing
- Educational Innovations and Challenges
- Visual and Cognitive Learning Processes
- Digital Economy and Work Transformation
- Innovative Education and Learning Practices
- Child Development and Digital Technology
- Advanced Graph Neural Networks
- Motivation and Self-Concept in Sports
- AI and HR Technologies
- Bayesian Modeling and Causal Inference
- scientometrics and bibliometrics research
- Text Readability and Simplification
Technical University of Munich
2023-2024
University of South Australia
2016-2024
Data:Lab Munich (Germany)
2024
Université Paris Cité
2021-2022
Inserm
2021-2022
Center for Research and Interdisciplinarity
2022
Western Sydney University
2022
National University of Singapore
2018-2019
The proliferation of AI in many aspects human life—from personal leisure, to collaborative professional work, global policy decisions—poses a sharp question about how prepare people for an interconnected, fast-changing world which is increasingly becoming saturated with technological devices and agentic machines. What kinds capabilities do need infused AI? How can we conceptualise these capabilities? help learners develop them? empirically study assess their development? With this paper,...
Large language models represent a significant advancement in the field of AI. The underlying technology is key to further innovations and, despite critical views and even bans within communities regions, large are here stay. This position paper presents potential benefits challenges educational applications models, from student teacher perspectives. We briefly discuss current state their applications. then highlight how these can be used create content, improve engagement interaction,...
Learning Analytics (LA) studies the learning process in order to optimize opportunities for students. Although LA has quickly risen prominence, there remain questions regarding impact made date. To evaluate extent that impacted our understanding of and produced insights have been translated mainstream practice or contributed theory, we reviewed research published 2011-2018 LAK conferences Journal Analytics. The were coded according five dimensions: study focus, data types, purpose,...
Abstract Learning analytics (LA) has demonstrated great potential in improving teaching quality, learning experience and administrative efficiency. However, the adoption of LA higher education is often beset by challenges areas such as resources, stakeholder buy‐in, ethics privacy. Addressing these a complex system requires agile leadership that responsive to pressures environment capable managing conflicts. This paper examines processes among 21 UK institutions using complexity theory...
Abstract Due to the ongoing digitalisation of workplaces and educational settings, human activity underpinning learning work is increasingly mediated by technology. The advancement artificial intelligence (AI) its integration into everyday technologies influences how people are exposed information, interact, learn make decisions. We argue that technology, data evolving AI applications affect humans enact experience life work, changing context for learning. Hence, as this paper argues,...
Despite strong interest in learning analytics (LA), adoption at a large-scale organizational level continues to be problematic. This may part due the lack of acknowledgement existing conceptual LA models operationalize how key dimensions interact inform realities implementation process. paper proposes framing complexity leadership theory (CLT) study overarching system dynamics. The is empirically validated analysing interviews with senior staff Australian universities (n=32). results were...
The capacity to foster interpersonal interactions in massive open online courses (MOOCs) has frequently been contested, particularly when learner are limited MOOC forums. establishment of social presence—a perceived sense somebody being present and “real”—is among the strategies tackle challenges learning could be applied MOOCs. Thus far, presence MOOCs under-researched. Studies that previously examined did not account for peculiar nature learning. In contrast existing work, this study seeks...
Video materials have become an integral part of university learning and teaching practice. While empirical research concerning the use videos for educational purposes has increased, literature lacks overview specific effects on diverse outcomes. To address such a gap, this paper presents preliminary results large-scale systematic review peer-reviewed studies published from 2007-2017. The study synthesizes trends observed through analysis 178 papers selected screening 2531 abstracts. findings...
For over five decades, researchers have used network analysis to understand educational contexts, spanning diverse disciplines and thematic areas. The wealth of traditions insights accumulated through these interdisciplinary efforts is a challenge synthesize with traditional systematic review. To overcome this difficulty in reviewing 1791 articles researching the intersection networks education, study combined scientometric approach more qualitative metadata, such as keywords authors. Our...
Research in formal education has repeatedly offered evidence of the importance social interactions for student learning. However, it remains unclear whether development such interpersonal relationships same influence on learning context large-scale open online For instance, MOOCs group members frequently change and volume can quickly amass to chaos, therefore impeding an individual's propensity foster meaningful relationships. This paper examined a MOOC its potential develop processes. As is...
Network analysis has contributed to the emergence of learning analytics. In this editorial, we briefly introduce network science as a field and situate it within Drawing on Learning Analytics Cycle, highlight that effective application methods in analytics involves critical considerations processes, data, metrics, interventions, well ethics value systems surrounding these areas. Careful work must meaningfully interventions theoretical assumptions explaining learning, pedagogical...
Content analysis (CA) is a method frequently used in the learning sciences and so increasingly applied analytics (LA). Despite this ubiquity, CA subtle method, with many complexities decision points affecting outcomes it generates. Although appearing to be neutral quantitative approach, coding constructs requires an attention making context that aligns more subjective, qualitative interpretation of data. these challenges, we see labels CA-derived datasets as training sets for machine (ML)...
Learning analytics approaches to profiling students based on their study behaviour remain limited in how they integrate temporality and change. To advance this area of work, the current examines profiles change student a blended undergraduate engineering course. The is conceptualised through complex dynamical systems theory its applications psychological cognitive science research. Students were profiled changes as observed clickstream data. Measure entropy recurrence was used indicate...
Abstract The paper argues that learning analytics as a research field can benefit from theory‐informed shared language to describe sensemaking of and teaching data. To make the case for such language, first, I critically review prominent theories then demonstrate how studies in do not use coherent descriptions sensemaking, eclectically combining paradigms have underlying differences. propose conceptualization overcomes differences between these explains concepts activity system , definition...
Asynchronous online discussions are broadly used to support peer interaction in and hybrid courses. In this paper, we argue that the analysis of interactions would benefit from focus on relational events temporal occur due a range factors. To demonstrate possibility, applied Relational Event Modeling (REM) dataset seven classes. Informed by conceptual model social discussions, modeling included (a) learner attribute capturing aspects participation, (b) dynamics factors such as preferential...
The ability to develop new skills and competencies is a central concept of lifelong learning. Research date has largely focused on the processes support individuals require engage in upskilling, re-learning or training. However, there been limited attention examining types that are necessary assist learner's transition from "old" workplace contexts "new". Professionals often undergo significant restructuring their knowledge, skills, identities as they between career roles, industries,...
Network analysis has become a major approach for analysing social learning, used to capture learner positioning in online forum networks. LA research investigated the association between networks with academic performance and discourse quality, latter two serving as proxies learning. However, findings have been inconsistent, part due discrepancies adopted approaches network construction. Yet, it is still unclear how should be modelled assure that learners' properly captured. To address this...