Abhinava Barthakur
Biographic Data
| ID | 8901908 |
|---|---|
| NAME | Abhinava Barthakur |
| GIVEN NAMES | Abhinava |
| FAMILY NAME | Barthakur |
| SIGNATURE | BARTHAKUR A |
| AFFILIATIONS | University of South Australia |
| ORCID | 0000-0002-2437-6892 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Assessing Patterns of Students’ Attainment of Professional Standards in Higher Education
It is widely recognized that higher education (HE) graduates require a broad range of professional skills and abilities to succeed in their future careers. This narrow emphasis limits the capacity to effectively and holistically evaluate a student’s professional competency and readiness for employment. This issue is particularly acute for HE degrees that require graduates to demonstrate attainment of externally regulated professional standards. W…
Advancing 21st-Century Professional Competencies with Learning Analytics in the Age of Generative AI
The rise of generative artificial intelligence (GenAI) and accelerated globalization have necessitated a fundamental recalibration of higher education to prioritize domain-agnostic, 21st-century professional competencies. While institutional commitment to these skills is high, their systematic integration into the curriculum and evaluation remains fragmented, highlighting a critical gap between traditional academic success metrics and demonstrate…
Perceptions and perspectives of Australian school leaders on the integration of artificial intelligence in schools
The integration of AI in education has the potential to significantly transform teaching and learning. However, the successful adoption of AI is heavily reliant on the actions and perspectives of school leaders. As schools increasingly incorporate AI into their classrooms, it is essential to understand how education leaders perceive this technology and the factors that influence their decision-making around its implementation. This study explores…
Advancing Holistic Decision‐Making Systems in Schools
Examining practicums within initial teacher education programs
The relationship between students’ self-regulated learning skills and technology acceptance of GenAI
Generative artificial intelligence (GenAI) has quickly become prolific in our daily lives, including the higher education sector. Although an AI-fuelled world is unpredictable, there is an urgent need to understand how university students use GenAI to support their learning and the factors influencing GenAI adoption. In this study, underpinned by self-regulated learning (SRL) theory and the technology acceptance model, we examined how university …
The application of curriculum analytics for improving assessments and quality assurance in higher education
Curriculum mapping is a necessary process for establishing evidence of where learning outcomes are taught and assessed in higher education programmes. Mapping ensures the credibility of the institution and programme offerings and provides students with a clear understanding of what they can expect to learn and achieve during their academic studies. Well-mapped curricula that reference relevant standards and articulate aligned assessments are foun…
Aligning objectives with assessment in online courses
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…
Assessing program-level learning strategies in Moocs
The impact of mathematics anxiety on self-regulated learning and mathematical literacy
Self-regulated learning has been shown to have a positive and long-lasting impact on students’ academic development, employability and career progression. Emotions, motivation and metacognition play an important role in students’ ability to monitor and regulate their learning, particularly when studying and engaging with Science, Technology, Engineering and Mathematics content. In this study, we investigated motivational, emotional and cognitive …
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The impact of mathematics anxiety on self-regulated learning and mathematical literacy
Self-regulated learning has been shown to have a positive and long-lasting impact on students’ academic development, employability and career progression. Emotions, motivation and metacognition play an important role in students’ ability to monitor and regulate their learning, particularly when studying and engaging with Science, Technology, Engineering and Mathematics content. In this study, we investigated motivational, emotional and cognitive …
Assessing program-level learning strategies in Moocs
Aligning objectives with assessment in online courses
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…
The application of curriculum analytics for improving assessments and quality assurance in higher education
Curriculum mapping is a necessary process for establishing evidence of where learning outcomes are taught and assessed in higher education programmes. Mapping ensures the credibility of the institution and programme offerings and provides students with a clear understanding of what they can expect to learn and achieve during their academic studies. Well-mapped curricula that reference relevant standards and articulate aligned assessments are foun…
Perceptions and perspectives of Australian school leaders on the integration of artificial intelligence in schools
The integration of AI in education has the potential to significantly transform teaching and learning. However, the successful adoption of AI is heavily reliant on the actions and perspectives of school leaders. As schools increasingly incorporate AI into their classrooms, it is essential to understand how education leaders perceive this technology and the factors that influence their decision-making around its implementation. This study explores…
Advancing Holistic Decision‐Making Systems in Schools
Examining practicums within initial teacher education programs
The relationship between students’ self-regulated learning skills and technology acceptance of GenAI
Generative artificial intelligence (GenAI) has quickly become prolific in our daily lives, including the higher education sector. Although an AI-fuelled world is unpredictable, there is an urgent need to understand how university students use GenAI to support their learning and the factors influencing GenAI adoption. In this study, underpinned by self-regulated learning (SRL) theory and the technology acceptance model, we examined how university …
Assessing Patterns of Students’ Attainment of Professional Standards in Higher Education
It is widely recognized that higher education (HE) graduates require a broad range of professional skills and abilities to succeed in their future careers. This narrow emphasis limits the capacity to effectively and holistically evaluate a student’s professional competency and readiness for employment. This issue is particularly acute for HE degrees that require graduates to demonstrate attainment of externally regulated professional standards. W…
Advancing 21st-Century Professional Competencies with Learning Analytics in the Age of Generative AI
The rise of generative artificial intelligence (GenAI) and accelerated globalization have necessitated a fundamental recalibration of higher education to prioritize domain-agnostic, 21st-century professional competencies. While institutional commitment to these skills is high, their systematic integration into the curriculum and evaluation remains fragmented, highlighting a critical gap between traditional academic success metrics and demonstrate…
Psychology (10 works) · Online Learning and Analytics (9 works) · Computer Science (7 works) · Mathematics education (7 works) · Pedagogy (7 works) · Knowledge management (5 works) · Analytics (4 works) · Learning analytics (4 works) · Online and Blended Learning (4 works) · Sociology (4 works)