Amara Atif

ORCID: 0000-0003-0381-0343
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About
Contact & Profiles
Research Areas
  • Online Learning and Analytics
  • Online and Blended Learning
  • E-Learning and Knowledge Management
  • Knowledge Management and Sharing
  • Technology Adoption and User Behaviour
  • Focus Groups and Qualitative Methods
  • Intelligent Tutoring Systems and Adaptive Learning
  • Survey Methodology and Nonresponse
  • Image and Object Detection Techniques
  • Innovative Teaching and Learning Methods
  • Handwritten Text Recognition Techniques
  • Vehicle License Plate Recognition
  • Higher Education Research Studies
  • Mental Health via Writing
  • Innovative Teaching Methods
  • Software System Performance and Reliability
  • Digital Transformation in Industry
  • Open Education and E-Learning
  • Innovations in Educational Methods
  • Educational Technology and Assessment
  • Virtual Reality Applications and Impacts
  • Mental Health Research Topics
  • Supply Chain Resilience and Risk Management
  • Digital Mental Health Interventions
  • Educational Environments and Student Outcomes

University of Technology Sydney
2021-2024

Macquarie University
2012-2020

In the dynamic world of higher education, technological advancements are continually reshaping teaching and learning approaches, with analytics (LA) playing a crucial role in this transformation. This systematic literature review (SLR) explores significant impact LA specifically its transformative personalizing enhancing educational feedback mechanisms. Utilizing wide range data, facilitates shift from generic to individualized feedback, leading improved outcomes equity. However,...

10.3390/educsci14020176 article EN cc-by Education Sciences 2024-02-08

Moodle is used as a learning management system around the world. However, integrated analytics solutions for that provide actionable information and allow teachers to efficiently use it connect with their students are lacking. The enhanced Engagement Analytics Plugin (MEAP), presented at ASCILITE2015, enabled identify contact at-risk of not completing units. Here, we discuss pilot using MEAP in 36 units Macquarie University, metropolitan Australian university. We existing models developing...

10.14742/apubs.2017.745 article EN cc-by ASCILITE Publications 2024-05-11

The International Review of Research in Open and Distributed Learning (IRRODL) published its first issue 2000. This paper provides an overview the journal’s development over 25-year history using bibliometric indicators. We analyzed IRRODL’s performance relative to other journals field have highlighted key contributing countries, institutions, authors based on Scopus database. Our approach used various techniques, including number articles citations, cites per paper, h-index. findings reveal...

10.19173/irrodl.v26i2.8662 article EN cc-by The International Review of Research in Open and Distributed Learning 2025-05-08

Moodle, an open source Learning Management System (LMS), collects a large amount of data on student interactions within it, including content, assessments, and communication. Some these can be used as proxy indicators engagement, well predictors for performance. However, are difficult to interrogate even more action from Moodle. We therefore describe design-based research narrative develop enhanced version Moodle Engagement Analytics Plugin (MEAP). Working with the needs unit convenors...

10.14742/apubs.2015.974 article EN ASCILITE Publications 2015-11-27

Online learning is enabled by technology as students’ interact with subject content, access and download resources, watch videos, participate in online quizzes. Epistemic Emotions (EE), e.g., curiosity, surprise, confusion, frustration or boredom has a complex impact when due to the lack of real-time feedback loop. It becomes vital detect such emotions timely accurately before they starts impacting leaner adversely (e.g., D’Mello et al., 2017; Kosasi 2020). EE activate confines learning. can...

10.14742/apubs.2022.129 article EN cc-by ASCILITE Publications 2022-11-18

Higher education institutions recently have been drawing on methods from learning analytics to make decisions about learners' academic progress, predictions future performance and recognise potential issues. As the use of in higher is a relatively new area practice research, intent this paper provide an overview including summary some exemplar tools. Finally we conclude with discussion challenges ethical

10.14742/apubs.2013.1524 article EN ASCILITE Publications 2013-11-30

While online learning offers much flexibility for students in terms of time and place, students’ experiences have been less than positive. A sense belonging is key to success retention any environment. Teaching or teacher presence significant setting a climate belonging. However, few studies documented how teachers can foster settings experience these initiatives. This paper presents an exploratory case study teacher’s initiatives subject by amplifying through technology-mediated,...

10.14742/apubs.2022.55 article EN cc-by ASCILITE Publications 2022-11-18

Learning design (LD) has increasingly been recognized as a significant contextual element for the interpretation and adoption of learning analytics (LA). Yet, few studies have explored how instructors integrate LA feedback into their designs, especially within open automated (AF) systems. This research presents multiple-case study at one higher education institution to unveil instructors’ pilot efforts in using an AF system align LD unique contexts, with goal delivering personalized tailored...

10.3390/educsci13111114 article EN cc-by Education Sciences 2023-11-06

Students require human intelligence and social interaction in the form of academic assistance at different times their study period. Their desire to get find varies is dependent on many factors such as attendance mode, personal situation, semester timetables, assessment due dates. Providing students with access this expertise when it needed large numbers problematic. Virtual Agents (VAs) seek provide a technology-enabled element encourage timely support aid students' learning. We have...

10.23919/ilrn47897.2020.9155122 article EN 2022 8th International Conference of the Immersive Learning Research Network (iLRN) 2020-06-01

Document deskewing is a fundamental problem in document image processing. While existing methods have limitations, such as Hough Line Transformation that can deskew images upside down, and Deep Learning models require huge amounts of human labour computational resources still fail to while taking care orientation, OCR-based also struggle read text when it tilted. In this paper, we propose novel, simple, cost-effective deep learning method for fixing the skew orientation documents. Our...

10.20944/preprints202303.0326.v1 preprint EN 2023-03-17

Abstract Document deskewing is a fundamental problem in document image processing. While existing methods have limitations, such as Hough Line Transformation that can deskew images upside down, and Deep Learning models require huge amounts of human labour computational resources still fail to while taking care orientation, OCR-based also struggle read text when it tilted. In this paper, we propose novel, simple, cost-effective deep learning method for fixing the skew orientation documents....

10.21203/rs.3.rs-2831867/v1 preprint EN cc-by Research Square (Research Square) 2023-04-27

10.23919/picmet64035.2024.10653227 article EN 2022 Portland International Conference on Management of Engineering and Technology (PICMET) 2024-08-04
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