Dragan Gasevic

Dragan Gasevic
The University of Edinburgh | UoE · School of Informatics

PhD

About

630
Publications
283,779
Reads
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14,336
Citations
Additional affiliations
January 2015 - December 2015
The University of Edinburgh
Position
  • Professor and Chair in Learning Analytics and Informatics
January 2007 - January 2015
Athabasca University
Position
  • Professor and Canada Research Chair in Semantic and Learning Technologies
January 2007 - present
Simon Fraser University
Position
  • Professor (Associate)

Publications

Publications (630)
Article
Full-text available
Simulation‐based learning provides students with unique opportunities to develop key procedural and teamwork skills in close‐to‐authentic physical learning and training environments. Yet, assessing students' performance in such situations can be challenging and mentally exhausting for teachers. Multimodal learning analytics can support the assessme...
Preprint
Full-text available
Providing educational feedback has been widely acknowledged as an effective method to assist student learning. To offer feedback for a large student cohort, educational researchers started developing artificial intelligence (AI) systems. Though the existing AI-driven feedback achieved certain success, many concerns still exist during the deployment...
Article
Full-text available
In recent years, unobtrusive measures of self-regulated learning (SRL) processes based on log data recorded by digital learning environments have attracted increasing attention. However, researchers have also recognised that simple navigational log data or time spent on pages are often not fine-grained enough to study complex SRL processes. Recent...
Article
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Recent advances in smart devices and online technologies have facilitated the emergence of ubiquitous learning environments for participating in different learning activities. This poses an interesting question about modality access, i.e., what students are using each platform for and at what time of day. In this paper, we present a log-based explo...
Article
An industrial revolution based on digital technologies and data is rapidly transforming most human activities. In the case of higher education, research on learning analytics has experienced significant expansion and evolution in only a few years. However, there is still a dearth of literature on analytics tools designed to support student represen...
Article
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Contemporary research that looks at self-regulated learning (SRL) as processes of learning events derived from trace data has attracted increasing interest over the past decade. However, limited research has been conducted that looks into the validity of trace-based measurement protocols. In order to fill this gap in the literature, we propose a no...
Article
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Reference to teachers as agents of change has become commonplace in the education literature, including change towards more inclusive practice in response to the changing demographic of schooling. Yet, little is known about how teacher agency relates to i) their understanding of, and commitment to any given change agenda and ii) the institutional a...
Article
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In this paper, we argue that a particular set of issues mars traditional assessment practices. They may be difficult for educators to design and implement; only provide discrete snapshots of performance rather than nuanced views of learning; be unadapted to the particular knowledge, skills, and backgrounds of participants; be tailored to the cultur...
Article
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There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms. One of the emerging methods for increasing trust in AI systems is to use eXplainable AI (XAI), which promotes the use of methods that produce transparent explan...
Article
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Peer assessment has been recognised as a sustainable and scalable assessment method that promotes higher‐order learning and provides students with fast and detailed feedback on their work. Despite these benefits, some common concerns and criticisms are associated with the use of peer assessments (eg, scarcity of high‐quality feedback from peer stud...
Article
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Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study aimed...
Article
Learning analytics uses large amounts of data about learner interactions in digital learning environments to understand and enhance learning. Although measurement is a central dimension of learning analytics, there has thus far been little research that examines links between learning analytics and assessment. This special issue of Computers in Hum...
Article
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Educational systems generate huge quantities of digital data. Digital educational data is captured and used at all points -- from classrooms and schools, to the level of educational departments. As growing trends in ‘data-driven instruction’ suggest, all these data have great potential to support student, teacher and leadership practices, help guid...
Conference Paper
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The benefits of incorporating scaffolds that promote strategies of self-regulated learning (SRL) to help student learning are widely studied and recognised in the literature. However, the best methods for incorporating them in educational technologies and empirical evidence about which scaffolds are most beneficial to students are still emerging. I...
Conference Paper
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One of the ultimate goals of several learning analytics (LA) initiatives is to close the loop and support students’ and teachers’ reflective practices. Although there has been a proliferation of end-user interfaces (often in the form of dashboards), various limitations have already been identified in the literature such as key stakeholders not bein...
Preprint
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Multimodal Learning Analytics (MMLA) innovations are commonly aimed at supporting learners in physical learning spaces through state-of-the-art sensing technologies and analysis techniques. Although a growing body of MMLA research has demonstrated the potential benefits of sensor-based technologies in education, whether their use can be scalable, s...
Preprint
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Teacher’s in-class positioning and interaction patterns (termed spatial pedagogy) are an essential part of their classroom management and orchestration strategies that can substantially impact students’ learning. Yet, effective management of teachers’ spatial pedagogy can become increasingly challenging as novel architectural designs, such as open...
Conference Paper
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Stakeholder engagement is a key aspect for the successful implementation of Learning Analytics (LA) in Higher Education Institutions (HEIs). Studies in Europe and Latin America (LATAM) indicate that, overall, instructors and students have positive views on LA adoption, but there are differences between their ideal expectations and what they conside...
Article
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Feedback is a crucial element of a student's learning process. It enables students to identify weaknesses and improve self-regulation. However, studies show this to be an area of great dissatisfaction in higher education. With ever-growing course participation numbers, delivering effective feedback is becoming an in-creasingly challenging task. The...
Article
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We present a systematic literature review of data-driven self-regulated learning (SRL) that emphasises the methodological importance of temporality and sequence, as opposed to conventional statistical analysis. Researchers seem unanimous in their view of the importance of SRL in modern online and blended educational settings; this is borne out by n...
Preprint
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Existing research indicates that students prefer to work with tutors who express politely in online human-human tutoring, but excessive polite expressions might lower tutoring efficacy. However, there is a shortage of understanding about the use of politeness in online tutoring and the extent to which the politeness of instructional strategies can...
Article
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Background Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data). Theref...
Article
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Identifying students facing difficulties and providing them with timely support is one of the educator's key responsibilities. Yet, this task is becoming increasingly challenging as the complexity of physical learning spaces grows, along with the emergence of novel educational technologies and classroom designs. There has been substantial research...
Article
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The proliferation of AI in many aspects of human life—from personal leisure, to collaborative professional work, to global policy decisions—poses a sharp question about how to prepare people for an interconnected, fast-changing world which is increasingly becoming saturated with technological devices and agentic machines. What kinds of capabilities...
Chapter
This paper focuses on the area of success-enablers in learning analytics (LA) adoption from the perspective of senior managers in higher education institutions (HEIs). A significant body of academic literature exists about challenges in LA. However, to date, the success-enablers from the perspectives of institutional senior managers have received l...
Article
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Background: There is an increasing amount of electronic data sitting within the health system. These data have untapped potential to improve clinical practice if extracted efficiently and harnessed to change the behavior of health professionals. Furthermore, there is an increasing expectation from the government and peak bodies that both individual...
Article
Massive Open Online Courses (MOOCs) have already shown a great potential to be used as an alternative model for teacher professional development (TPD). Not only do MOOCs offer relevant content and activities, but they also provide opportunities for strengthening the skills for self-regulated learning of teachers as life-long learners. In this study...
Article
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It has been widely theorized and empirically proven that self-regulated learning (SRL) is related to more desired learning outcomes, e.g., higher performance in transfer tests. Research has shifted to understanding the role of SRL during learning, such as the strategies and learning activities, learners employ and engage in the different SRL phases...
Preprint
UNSTRUCTURED A foundational component of Digital Health involves collecting and leveraging electronic health data to improve health and wellbeing. One of the central technologies for collecting these data are Electronic Health Records (EHRs). In this Viewpoint we argue that EHRs are a rich source of information on the performance of health professi...
Article
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Learning analytics dashboards commonly visualize data about students with the aim of helping students and educators understand and make informed decisions about the learning process. To assist with making sense of complex and multidimensional data, many learning analytics systems and dashboards have relied strongly on AI algorithms based on predict...
Conference Paper
Full-text available
Learning Analytics (LA) consists of using educational data to inform teaching strategies and management decisions, aiming to improve students' learning. The successful implementation of LA in Higher Education Institutions (HEIs) involves technical aspects and infrastructure but also stakeholders' acceptance. The SHEILA framework proposes instrument...
Article
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The adoption of learning analytics (LA) in complex educational systems is woven into sociocultural and technical challenges that have induced distrust in data and difficulties in scaling LA. This paper presents a study that investigated areas of distrust and threats to trustworthy LA through a series of consultations with teaching staff and student...
Article
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This paper proposes the adoption of a deep learning method to automate the categorisation of online discussion messages according to the phases of cognitive presence, a fundamental construct from the widely used Community of Inquiry (CoI) framework of online learning. We investigated not only the performance of a deep learning classifier but also i...
Article
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To construct dialogue-based Intelligent Tutoring Systems (ITS) with sufficient pedagogical expertise, a trendy research method is to mine large-scale data collected by existing dialogue-based ITS or generated between human tutors and students to discover effective tutoring strategies. However, most of the existing research has mainly focused on the...
Article
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Learning analytics aims to analyze data from students and learning environments to support learning at different levels. Although learning analytics is a recent field, it reached a high level of maturity, especially in its applications for higher education. However, little of the research in learning analytics targets other educational levels, such...
Article
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Lay Description What is already known about this topic Many MLA systems are designed without learners' involvement. Understanding of how multimodal data can support learners' authentic needs is needed. MLA have the potential to enable the automated generation of models to provide real‐time feedback. What this paper adds Understanding how learners...
Article
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Collaboration is considered as one of the main drivers of learning and it has been broadly studied across numerous contexts, including Massive Open Online Courses (MOOCs). The research on MOOCs has risen exponentially during the last years and there have been a number of works focused on studying collaboration. However, these previous studies have...
Conference Paper
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Supervised machine learning models have been widely used to address the classification of messages in online discussions. Supervised learning algorithms require a large set of annotated data to accurately create a predictive model. However, data annotation is a complex task due to three factors: (i) depends on specialists to accurately label data;...
Conference Paper
Full-text available
There is much debate about what properties a paper in LAK or related conferences should have. However, despite reviewers often trying to decide if a paper is “an EDM paper” or “a LAK paper”, there has been limited systematic consideration of how these fields differ (but see Siemens & Baker, 2012, and topic analysis in Chen et al., 2020). We propos...
Chapter
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This paper investigates emerging roles in the context of the community of inquiry model. The paper reports the results of a study that demonstrated the application of epistemic network and clustering analyses to reveal the roles that different students assumed during an asynchronous course with online discussions. The proposed method highlights the...
Chapter
Automatic classifiers of educational forum posts are essential in helping instructors effectively implement their teaching practices and thus have been widely investigated. However, existing studies mostly stressed the accuracy of a classifier, while the fairness of the classifier remains largely unexplored, i.e., whether the posts generated by a g...
Chapter
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A common scaffolding approach in computer-supported collaborative learning is the assignment of specific roles to the participants in online asynchronous discussions. Previous work has demonstrated how this type of scaffolding can result in student contributions of greater depth and quality. However, since students necessarily experience the roles...