Abelardo Pardo
Biographic Data
| ID | 8901305 |
|---|---|
| NAME | Abelardo Pardo |
| GIVEN NAMES | Abelardo |
| FAMILY NAME | Pardo |
| SIGNATURE | PARDO A |
| AFFILIATIONS | The University of Sydney |
| ORCID | 0000-0002-6857-0582 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Using online learner trace data to understand the cohesion of teams in higher education
Exploring the relationship between personalized feedback models, learning design and assessment outcomes
The increasing use of technology in education has brought new opportunities for the systematic collection of student data. Analyzing technology-mediated trace data, for example, has enabled researchers to bring new insights into student learning processes and the factors involved to support learning and teaching. However, many of these learning analytic studies have drawn conclusions from limited data sets that are derived from a single course or…
Team interactions with learning analytics dashboards
Aligning objectives with assessment in online courses
Implementing next generation privacy and ethics research in education technology
For the developers of next‐generation education technology (EdTech), the use of Learning Analytics (LA) is a key competitive advantage as the use of some form of LA in EdTech is fast becoming ubiquitous. At its core LA involves the use of Artificial Intelligence and Analytics on the data generated by technology‐mediated learning to gain insights into how students learn, especially for large cohorts, which was unthinkable only a few decades ago. T…
Measuring leadership development in workplace learning using automated assessments
Technological affordances have shown promising potential in advancing the delivery of corporate learning programmes designed for professional leadership development. However, there is a considerable challenge in evaluating learners' skill acquisition, with most of the past research relying on pre‐ and post‐tests or other forms of self‐reports to measure leadership development. In that sense, these approaches measure leadership development before …
Assessing the sequencing of learning objectives in a study program using evidence-based practice
The success and satisfaction of students with online courses is significantly impacted by the sequencing of learning objectives and activities. Equally critical is designing online degree programs and structuring multiple courses to reduce learners’ cognitive load and attain maximum learning success. In its current form, the evaluation of program design is complex and done primarily using stakeholders’ perceptions and qualitative methods, which a…
Students’ perceptions of, and emotional responses to, personalised learning analytics-based feedback
Research and development in learning analytics has established viable solutions for scaling personalised feedback to all students. However, questions remain regarding how such feedback is perceived, interpreted and acted upon by stakeholders. The present study reports on the analysis of focus group data from four courses to understand students’ sensemaking of personalised, learning analytics-based feedback. Deductive analysis and epistemic networ…
A Systematic Review of Empirical Studies on Learning Analytics Dashboards
Students' self‐report and observed learning orientations in blended university course design
This study examines the extent to which the learning orientations identified by student self‐reports and the observation of their online learning events were related to each other and to their academic performance. The participants were 322 first‐year engineering undergraduates, who were enrolled in a blended course. Using students' self‐report on a questionnaire about their approaches to learning and perceptions of the blended learning environme…
Students’ sense-making of personalised feedback based on learning analytics
Although technological advances have brought about new opportunities for scaling feedback to students, there remain challenges in how such feedback is presented and interpreted. There is a need to better understand how students make sense of such feedback to adapt self-regulated learning processes. This study examined students’ sense-making of learning analytics–based personalised feedback across four courses. Results from a combination of themat…
Using learning analytics to scale the provision of personalised feedback
There is little debate regarding the importance of student feedback for improving the learning process. However, there remain significant workload barriers for instructors that impede their capacity to provide timely and meaningful feedback. The increasing role technology is playing in the education space may provide novel solutions to this impediment. As students interact with the various learning technologies in their course of study, they crea…
Identifying engagement patterns with video annotation activities
The rapid growth of blended and online learning models in higher education has resulted in a parallel increase in the use of audio-visual resources among students and teachers. Despite the heavy adoption of video resources, there have been few studies investigating their effect on learning processes and even less so in the context of academic development. This paper uses learning analytic techniques to examine how academic teaching staff engage w…
A feedback model for data-rich learning experiences
Feedback has been identified as one of the factors with the largest potential for a positive impact in a learning experience. There is a significant body of knowledge studying feedback and providing guidelines for its implementation in learning environments. In parallel, the areas of learning analytics or educational data mining have emerged to explore how to analyse exhaustive digital trails produced by technology mediation to improve learning e…
Learning analytics to unveil learning strategies in a flipped classroom
The study examined trace data to identify learning strategies in a flipped classroom. • Clustering of students' learning sequences revealed 4 learning strategies. • Clustering of students based on the adopted strategies led to 5 student profiles. • The identified strategy-based student profiles differed in their exam scores. • Students tend to change the adopted strategies and move towards less effective ones.
Ethical and privacy principles for learning analytics
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 to understand and improve the quality of a learning experience. The privacy and ethical issues that emerge in this context are tightly interconnected with other aspects such as trust, accountability and transparency. In this paper, a set of principles is identified to narrow th…
Creating and Deploying Effective eLearning Experiences Using .LRN
The significant quality increase in open-source e-learning platforms allows for large-scale e-learning courses with significantly reduced costs. This document describes a pedagogical model enhanced for effectively providing courses to a large number of students and producing media-rich content suitable to be managed by the open-source e-learning platform .LRN. Two case studies are presented: 1) a course for high school students to increase the po…
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Creating and Deploying Effective eLearning Experiences Using .LRN
The significant quality increase in open-source e-learning platforms allows for large-scale e-learning courses with significantly reduced costs. This document describes a pedagogical model enhanced for effectively providing courses to a large number of students and producing media-rich content suitable to be managed by the open-source e-learning platform .LRN. Two case studies are presented: 1) a course for high school students to increase the po…
Ethical and privacy principles for learning analytics
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 to understand and improve the quality of a learning experience. The privacy and ethical issues that emerge in this context are tightly interconnected with other aspects such as trust, accountability and transparency. In this paper, a set of principles is identified to narrow th…
Learning analytics to unveil learning strategies in a flipped classroom
The study examined trace data to identify learning strategies in a flipped classroom. • Clustering of students' learning sequences revealed 4 learning strategies. • Clustering of students based on the adopted strategies led to 5 student profiles. • The identified strategy-based student profiles differed in their exam scores. • Students tend to change the adopted strategies and move towards less effective ones.
Identifying engagement patterns with video annotation activities
The rapid growth of blended and online learning models in higher education has resulted in a parallel increase in the use of audio-visual resources among students and teachers. Despite the heavy adoption of video resources, there have been few studies investigating their effect on learning processes and even less so in the context of academic development. This paper uses learning analytic techniques to examine how academic teaching staff engage w…
A feedback model for data-rich learning experiences
Feedback has been identified as one of the factors with the largest potential for a positive impact in a learning experience. There is a significant body of knowledge studying feedback and providing guidelines for its implementation in learning environments. In parallel, the areas of learning analytics or educational data mining have emerged to explore how to analyse exhaustive digital trails produced by technology mediation to improve learning e…
Using learning analytics to scale the provision of personalised feedback
There is little debate regarding the importance of student feedback for improving the learning process. However, there remain significant workload barriers for instructors that impede their capacity to provide timely and meaningful feedback. The increasing role technology is playing in the education space may provide novel solutions to this impediment. As students interact with the various learning technologies in their course of study, they crea…
A Systematic Review of Empirical Studies on Learning Analytics Dashboards
Students' self‐report and observed learning orientations in blended university course design
This study examines the extent to which the learning orientations identified by student self‐reports and the observation of their online learning events were related to each other and to their academic performance. The participants were 322 first‐year engineering undergraduates, who were enrolled in a blended course. Using students' self‐report on a questionnaire about their approaches to learning and perceptions of the blended learning environme…
Students’ sense-making of personalised feedback based on learning analytics
Although technological advances have brought about new opportunities for scaling feedback to students, there remain challenges in how such feedback is presented and interpreted. There is a need to better understand how students make sense of such feedback to adapt self-regulated learning processes. This study examined students’ sense-making of learning analytics–based personalised feedback across four courses. Results from a combination of themat…
Students’ perceptions of, and emotional responses to, personalised learning analytics-based feedback
Research and development in learning analytics has established viable solutions for scaling personalised feedback to all students. However, questions remain regarding how such feedback is perceived, interpreted and acted upon by stakeholders. The present study reports on the analysis of focus group data from four courses to understand students’ sensemaking of personalised, learning analytics-based feedback. Deductive analysis and epistemic networ…
Team interactions with learning analytics dashboards
Aligning objectives with assessment in online courses
Implementing next generation privacy and ethics research in education technology
For the developers of next‐generation education technology (EdTech), the use of Learning Analytics (LA) is a key competitive advantage as the use of some form of LA in EdTech is fast becoming ubiquitous. At its core LA involves the use of Artificial Intelligence and Analytics on the data generated by technology‐mediated learning to gain insights into how students learn, especially for large cohorts, which was unthinkable only a few decades ago. T…
Measuring leadership development in workplace learning using automated assessments
Technological affordances have shown promising potential in advancing the delivery of corporate learning programmes designed for professional leadership development. However, there is a considerable challenge in evaluating learners' skill acquisition, with most of the past research relying on pre‐ and post‐tests or other forms of self‐reports to measure leadership development. In that sense, these approaches measure leadership development before …
Assessing the sequencing of learning objectives in a study program using evidence-based practice
The success and satisfaction of students with online courses is significantly impacted by the sequencing of learning objectives and activities. Equally critical is designing online degree programs and structuring multiple courses to reduce learners’ cognitive load and attain maximum learning success. In its current form, the evaluation of program design is complex and done primarily using stakeholders’ perceptions and qualitative methods, which a…
Using online learner trace data to understand the cohesion of teams in higher education
Exploring the relationship between personalized feedback models, learning design and assessment outcomes
The increasing use of technology in education has brought new opportunities for the systematic collection of student data. Analyzing technology-mediated trace data, for example, has enabled researchers to bring new insights into student learning processes and the factors involved to support learning and teaching. However, many of these learning analytic studies have drawn conclusions from limited data sets that are derived from a single course or…
Computer Science (16 works) · Psychology (14 works) · Online Learning and Analytics (13 works) · Mathematics education (11 works) · Analytics (10 works) · Data science (10 works) · Knowledge management (10 works) · Learning analytics (10 works) · Educational technology (6 works) · Online and Blended Learning (6 works)