A5102026376- Online Learning and Analytics
- E-Learning and Knowledge Management
- Student Assessment and Feedback
- Online and Blended Learning
- Innovative Teaching and Learning Methods
- Intelligent Tutoring Systems and Adaptive Learning
- Evaluation of Teaching Practices
- Artificial Intelligence in Healthcare and Education
- Educational Innovations and Technology
- Educational Assessment and Improvement
- Teacher Education and Leadership Studies
- Educational and Psychological Assessments
- Digital Games and Media
- Educational Technology and Assessment
- Context-Aware Activity Recognition Systems
- Knowledge Management and Sharing
- Educational Games and Gamification
- Explainable Artificial Intelligence (XAI)
- Collaborative Teaching and Inclusion
- Digital literacy in education
- Topic Modeling
- Data Visualization and Analytics
- Ferroelectric and Negative Capacitance Devices
- Evaluation and Performance Assessment
- Music and Audio Processing
Monash University
2020-2025
Australian Regenerative Medicine Institute
2021-2024
University of Edinburgh
2017-2022
Edinburgh College
2020
National Tsing Hua University
2019
University of Cambridge
2016-2018
Education Scotland
2017
National Yang Ming Chiao Tung University
2014
Chung Yuan Christian University
2006
There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by use Artificial Intelligence (AI) algorithms. One methods for increasing trust in AI systems is to eXplainable (XAI), which promotes that produce transparent explanations reasons decisions make. Considering existing literature on XAI, this paper argues XAI education has commonalities with broader but also distinctive needs. Accordingly, we first present a...
Feedback is an essential component of scaffolding for learning. provides insights into the assistance learners in terms achieving learning goals and improving self-regulated skills. In online courses, feedback becomes even more critical since instructors students are separated geographically physically. this context, allows instructor to customize content according students' needs. However, giving a challenging task instructors, especially contexts large cohorts. As result, several automatic...
Educational feedback has been widely acknowledged as an effective approach to improving student learning. However, scaling practices can be laborious and costly, which motivated researchers work on automated systems (AFS). Inspired by the recent advancements in pre-trained language models (e.g., ChatGPT), we posit that such might advance existing knowledge of textual generation AFS because their capability offer natural-sounding detailed responses. Therefore, aimed investigate feasibility...
Fast improvements in computing power and Artificial Intelligence (AI) algorithms enable us to automate important decisions that shape our everyday lives, drive workplace transformations. It is predicted many people will find themselves unprepared deal with high degrees of change uncertainty, increasingly posed by AI some sectors. A critical educational challenge involves figuring out how support young generations develop the capabilities they need adapt to, innovate in, a world AI. This...
Educational feedback has been widely acknowledged as an effective approach to improving student learning. However, scaling practices can be laborious and costly, which motivated researchers work on automated systems (AFS). Inspired by the recent advancements in pre-trained language models (e.g., ChatGPT), we posit that such might advance existing knowledge of textual generation AFS because their capability offer natural-sounding detailed responses. Therefore, aimed investigate feasibility...
The purpose of this paper is to integrate the technologies radio frequency identification, global positioning system, system for mobile communications, and geographic information (GIS) construct a stray prevention elderly persons suffering from dementia without interfering with their activities daily livings. We also aim improve passive manpowered way searching missing patient help technology. Our provides four monitoring schemes, including indoor residence monitoring, outdoor activity area...
This paper presents the results of a review eight policies for learning analytics relevance higher education, and discusses how these have tried to address prominent challenges in adoption analytics, as identified literature. The show that more considerations need be given establishing communication channels among stakeholders adopting pedagogy-based approaches analytics. It also reveals shortage guidance developing data literacy end-users evaluating progress impact Moreover, highlights...
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...
The emergence of personalised data technologies such as learning analytics is framed a solution to manage the needs higher education student populations that are growing ever more diverse and larger in size. However, current approach presents tensions between increasing agency making learning-related decisions ‘datafying’ students process collecting, analysing interpreting data. This article study explores staff experience agency, equity transparency existing practices expectations towards...
Purpose The analysis of data collected from user interactions with educational and information technology has attracted much attention as a promising approach to advancing our understanding the learning process. This promise motivated emergence field analytics supported education sector in moving toward data-informed strategic decision making. Yet, progress date embedding such processes been limited. purpose this paper is address commonly posed question asked by educators, managers,...
This paper introduces a learning analytics policy and strategy framework developed by cross-European research project team — SHEILA (Supporting Higher Education to Integrate Learning Analytics), based on interviews with 78 senior managers from 51 European higher education institutions across 16 countries. The was adapting the RAPID Outcome Mapping Approach (ROMA), which is designed develop effective strategies evidence-based in complex environments. presents four case studies illustrate...
Learning analytics promises to support adaptive learning in higher education. However, the associated issues around privacy protection, especially their implications for students as data subjects, has been a hurdle wide-scale adoption. In light of this, we set out understand student expectations related and identify gaps between what desire they expect happen or choose do reality when it comes protection. To this end, an investigation was carried UK education institution using survey (N=674)...
Generalizability of the value methods based on learning analytics remains one big challenges in field analytics. One approach to testing generalizability a method is apply it consistently different contexts. This study extends previously published work by examining proposed for detecting tactics and strategies from trace data. The was applied datasets collected three course designs delivery modalities, including flipped classroom, blended learning, massive open online course. combines...
Abstract Student engagement within the development of learning analytics services in Higher Education is an important challenge to address. Despite calls for greater inclusion stakeholders, there still remains only a small number investigations into students’ beliefs and expectations towards services. Therefore, this paper presents descriptive instrument measure student (ideal predicted) The scales used are grounded theoretical framework expectations, specifically ideal predicted...
There is a proliferation of learning analytics (LA) dashboards aimed at supporting teachers. Yet, teachers still find it challenging to make sense LA dashboards, thereby making informed decisions. Two main strategies address this are emerging: i) upskilling teachers' data literacy; ii) improving the explanatory design features current (e.g., adding visual cues or text) minimise skills required by effectively use dashboards. While each approach has its own trade-offs, no previous work...
For service implementations to be widely adopted, it is necessary for the expectations of key stakeholders considered. Failure do so may lead services reflecting ideological gaps, which will inadvertently create dissatisfaction among its users. Learning analytics research has begun recognise importance understanding student perspective towards that could potentially offered; however, engagement remains low. Furthermore, there been no attempt explore whether students can segmented into...
One of the ultimate goals several learning analytics (LA) initiatives is to close loop and support students' teachers' reflective practices. Although there has been a proliferation end-user interfaces (often in form dashboards), various limitations have already identified literature such as key stakeholders not being involved their design, little or no account for sense-making needs, unclear effects on teaching learning. There recent call human-centred design practices create LA...
Abstract Background Learning Analytics (LA) is an emerging field concerned with measuring, collecting, and analysing data about learners their contexts to gain insights into learning processes. As the technology of evolving, many systems are being implemented. In this context, it essential understand stakeholders' expectations LA across Higher Education Institutions (HEIs) for large‐scale implementations that take needs account. Objectives This study aims contribute knowledge individual...
Self-regulated learning (SRL) is the ability to regulate cognitive, metacognitive, motivational, and emotional states while posited be a strong predictor of academic success. It therefore important provide learners with effective instructions promote more meaningful SRL processes. One way implement through providing real-time scaffolding engage task. However, previous studies have tended focus on fixed rather than adaptive that tailored student actions. Studies investigated not adequately...
While the capacity to self-regulate has been found be crucial for secondary school students, prior studies often rely on self-report surveys and think-aloud protocols that present notable limitations in capturing self-regulated learning (SRL) processes.This study advances understanding of SRL education by using trace data examine processes during multi-source writing tasks, with higher participants included comparison.We collected fine-grained from 66 students 59 university working same...
Recent research on learning analytics dashboards has focused designing user interfaces that offer various forms of \textit{visualization guidance} (often referring to notions such as \textit{data storytelling} or \textit{narrative visualization}) teachers (e.g., emphasizing data points trends with colour and adding annotations), aiding them in interpreting visual elements gain a comprehensive understanding students' processes. Yet, while some studies have explored how interpret through these...