A Fluck
Biographic Data
| ID | 4516332 |
|---|---|
| NAME | A Fluck |
| GIVEN NAMES | A |
| FAMILY NAME | Fluck |
| SIGNATURE | FLUCK A |
| AFFILIATIONS | University of Tasmania |
| ORCID | 0000-0003-1301-4615 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Life at the academic coalface: Validation of a holistic academic workload estimation tool
This paper reports on research exploring the academic workload and performance practices of Australian universities. This research has identified a suite of activities associated with teaching, research and service, each with an associated time value (allocation). This led to the development of the academic workload estimation tool (AWET). In 2020, to validate the findings, we contacted academics willing to participate further and conducted inter…
Emerging principles for the allocation of academic work in universities
Machine learning for human learners: Opportunities, issues, tensions and threats
Machine learning systems are infiltrating our lives and are beginning to become important in our education systems. This article, developed from a synthesis and analysis of previous research, examines the implications of recent developments in machine learning for human learners and learning. In this article we first compare deep learning in computers and humans to examine their similarities and differences. Deep learning is identified as a sub-s…
Towards a methodology to determine standard time allocations for academic work
An online survey of workload activities was circulated to academics across Australia seeking estimates for the time to undertake a range of academic-related tasks associated with teaching, research and service. This article summarises the most important findings from the teaching data of the 2059 respondents. This detail of workload data has not been reported before across the Australian university sector. The findings showing that most academics…
The effectiveness of academic workload models in an institution: A Staff Perspective
The demands on academic staff are increasing to the point where effective mechanismsfor the allocation of their work are now necessary. Despite the inherent difficulties ofcategorising academic work, nearly all enterprise agreements at Australian universitiesinclude a clause designed to avoid work overload. Through a questionnaire, theinvestigators sought feedback from academic staff about their perceptions of theoperational effectiveness of the …
Case study of a computer based examination system
Electronic supported assessment or e-Assessment is a field of growing importance, but it has yet to make a significant impact in the Australian higher education sector (Byrnes & Ellis, 2006). Current computer based assessment models focus on the assessment of knowledge rather than deeper understandings, using multiple choice type questions, and blocking access to more sophisticated software tools. This study explored a new system based on a custo…
Classroom computer climate, teacher reflections and 're-envisioning' pedagogy in Australian schools
Considerable resources have been committed to providing information and communication technology in Australian schools. However, little is known about their effects on professional practice and student learning. This paper reports two main aspects of the data emerging from a current, ongoing three-year study (2002-04) Years 3, 5 and 7 of Government and Catholic Education Schools in Tasmania, Australia. The aim is to develop a professional learnin…
The effectiveness of academic workload models in an institution: A Staff Perspective
The demands on academic staff are increasing to the point where effective mechanismsfor the allocation of their work are now necessary. Despite the inherent difficulties ofcategorising academic work, nearly all enterprise agreements at Australian universitiesinclude a clause designed to avoid work overload. Through a questionnaire, theinvestigators sought feedback from academic staff about their perceptions of theoperational effectiveness of the …
Towards a methodology to determine standard time allocations for academic work
An online survey of workload activities was circulated to academics across Australia seeking estimates for the time to undertake a range of academic-related tasks associated with teaching, research and service. This article summarises the most important findings from the teaching data of the 2059 respondents. This detail of workload data has not been reported before across the Australian university sector. The findings showing that most academics…
Classroom computer climate, teacher reflections and 're-envisioning' pedagogy in Australian schools
Considerable resources have been committed to providing information and communication technology in Australian schools. However, little is known about their effects on professional practice and student learning. This paper reports two main aspects of the data emerging from a current, ongoing three-year study (2002-04) Years 3, 5 and 7 of Government and Catholic Education Schools in Tasmania, Australia. The aim is to develop a professional learnin…
Case study of a computer based examination system
Electronic supported assessment or e-Assessment is a field of growing importance, but it has yet to make a significant impact in the Australian higher education sector (Byrnes & Ellis, 2006). Current computer based assessment models focus on the assessment of knowledge rather than deeper understandings, using multiple choice type questions, and blocking access to more sophisticated software tools. This study explored a new system based on a custo…
The effectiveness of academic workload models in an institution: A Staff Perspective
The demands on academic staff are increasing to the point where effective mechanismsfor the allocation of their work are now necessary. Despite the inherent difficulties ofcategorising academic work, nearly all enterprise agreements at Australian universitiesinclude a clause designed to avoid work overload. Through a questionnaire, theinvestigators sought feedback from academic staff about their perceptions of theoperational effectiveness of the …
Towards a methodology to determine standard time allocations for academic work
An online survey of workload activities was circulated to academics across Australia seeking estimates for the time to undertake a range of academic-related tasks associated with teaching, research and service. This article summarises the most important findings from the teaching data of the 2059 respondents. This detail of workload data has not been reported before across the Australian university sector. The findings showing that most academics…
Machine learning for human learners: Opportunities, issues, tensions and threats
Machine learning systems are infiltrating our lives and are beginning to become important in our education systems. This article, developed from a synthesis and analysis of previous research, examines the implications of recent developments in machine learning for human learners and learning. In this article we first compare deep learning in computers and humans to examine their similarities and differences. Deep learning is identified as a sub-s…
Emerging principles for the allocation of academic work in universities
Life at the academic coalface: Validation of a holistic academic workload estimation tool
This paper reports on research exploring the academic workload and performance practices of Australian universities. This research has identified a suite of activities associated with teaching, research and service, each with an associated time value (allocation). This led to the development of the academic workload estimation tool (AWET). In 2020, to validate the findings, we contacted academics willing to participate further and conducted inter…
Computer Science (5 works) · Political science (5 works) · Psychology (5 works) · Engineering (4 works) · Workload (4 works) · Business (3 works) · Economics (3 works) · Higher education (3 works) · Higher Education and Employability (3 works) · Higher Education Governance and Development (3 works)