A5032558671- Online Learning and Analytics
- E-Learning and Knowledge Management
- Online and Blended Learning
- Innovative Teaching and Learning Methods
- Intelligent Tutoring Systems and Adaptive Learning
- Open Education and E-Learning
- Experimental Learning in Engineering
- Evaluation of Teaching Practices
- Formal Methods in Verification
- Student Assessment and Feedback
- Mobile Learning in Education
- Innovative Teaching Methods
- Educational Innovations and Technology
- VLSI and Analog Circuit Testing
- Educational Technology and Assessment
- Social Sciences and Policies
- Teaching and Learning Programming
- Educational theories and practices
- Higher Education Teaching and Evaluation
- Parallel Computing and Optimization Techniques
- Radiation Effects in Electronics
- Educational Technology in Learning
- Knowledge Management and Sharing
- Business, Education, Mathematics Research
- Low-power high-performance VLSI design
University of South Australia
2018-2024
The University of Adelaide
2024
University of Wisconsin–Madison
2023
University of Belgrade
2023
Prince of Songkla University
2023
Monash University
2023
Universiti Teknologi MARA
2023
The University of Sydney
2012-2020
University of Genoa
2020
National University of Distance Education
2020
In this paper we present theory and experiments on the algebraic decision diagrams (ADDs). These extend BDD's by allowing values from an arbitrary finite domain to be associated with terminal nodes. We a treatment founded in Boolean algebras discuss algorithms results applications like matrix multiplication shortest path algorithms. Furthermore, outline possible of ADD's logic synthesis, formal verification, testing digital systems.
Abstract The massive adoption of technology in learning processes comes with an equally large capacity to track learners. Learning analytics aims at using the collected information understand and improve quality a experience. privacy ethical issues that emerge this context are tightly interconnected other aspects such as trust, accountability transparency. In paper, set principles is identified narrow scope discussion point pragmatic approaches help design research experiences where...
Abstract There is little debate regarding the importance of student feedback for improving learning process. However, there remain significant workload barriers instructors that impede their capacity to provide timely and meaningful feedback. The increasing role technology playing in education space may novel solutions this impediment. As students interact with various technologies course study, they create digital traces can be captured analysed. These form new kind data are frequently used...
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity research examining any association between extracted and responses to well-established self-report instruments performance scores. This paper focuses on link identified student reported approaches learning. reports findings study conducted scope an undergraduate engineering course (N=144) that followed flipped classroom design....
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, analytics research proposes combination detailed data traces derived from technology-mediated tasks with a variety algorithms predict The former approach is designed provide meaningful pedagogical guidance, while latter identify event patterns and relations that can be translated into actionable remediation. benefits both approaches have motivated...
In this paper we present theory and experiments on the algebraic decision diagrams (ADDs). These extend BDD's by allowing values from an arbitrary finite domain to be associated with terminal nodes. We a treatment founded in Boolean algebras discuss algorithms results applications like matrix multiplication shortest path algorithms. Furthermore, outline possible of ADD's logic synthesis, formal verification, testing digital systems.
Visualization of user actions can be used in Technology Enhanced Learning to increase awareness for learners and teachers support self-reflection. In this paper, we present our Student Activity Meter that visualizes learner actions. We four design iterations results both quantitative qualitative evaluation studies real-world settings assess the usability, use usefulness different visualizations. Results indicate tool is useful a variety teacher needs, including time spent resource use. Tools...
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 learning analytics community has matured significantly over the past few years as a middle space where technology and pedagogy combine to support experiences. To continue grow connect these perspectives, research needs move beyond level of basic actions. This means exploring use data prove richer forms actions, such personalized feedback, or hybrid approaches instructors interpret outputs algorithms select an appropriate course action. paper proposes following three contributions...
Abstract This paper aims to explore time management strategies followed by students in a flipped classroom through the analysis of trace data. Specifically, an exploratory study was conducted on dataset collected three consecutive offerings undergraduate computer engineering course ( N = 1,134). Trace data about activities were initially coded for timeliness activity completion. Such then analysed using agglomerative hierarchical clustering based Ward's algorithm, first order Markov chains,...
Research into self-regulated learning has traditionally relied upon self-reported data. While there is a rich body of literature that extracted invaluable information from such sources, it suffers number shortcomings. For instance, been shown surveys often provide insight students' perceptions about rather than how students actually employ study tactics and strategies. Accordingly, recent research sought to assess strategies and, by extension, their via trace data collected digital...
Learning analytics has the potential to detect and explain characteristics of learning strategies through analysis trace data communicate findings via feedback. However, role analytics-based feedback in selection regulation is still insufficiently explored understood. This research aims examine sequential temporal investigate their association with Three years were collected from online pre-class activities a flipped classroom, where different types employed each year. Clustering, sequence...
Abstract The field of learning design studies how to support teachers in devising suitable activities for their students learn. analytics explores data about students' interactions can be used increase the understanding experiences. Despite its clear synergy, there is only limited and fragmented work exploring active role that play supporting learning. This paper builds on previous research propose a framework (analytics layers design) articulates three analytics—learning analytics,...
This paper aims to identify self-regulation strategies from students' interactions with the learning management system (LMS). We used analytics techniques metacognitive and cognitive in data. define three research questions that guide our studies analyzing i) self-assessments of motivation self regulation using standard methods draw a baseline, ii) LMS find traces observable indicators, iii) behaviours over course duration. The results show indicators can better explain self-regulatory...
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,...