Educational Decision Support System Adopting Sentiment Analysis on Student Feedback
Paper
Shaik, Thanveer, Tao, Xiaohui, Dann, Chris, Quadrelli, Carol, Li, Yan and O’Neill, Shirley. 2022. "Educational Decision Support System Adopting Sentiment Analysis on Student Feedback." 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Niagara Falls, Canada 17 - 20 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/WI-IAT55865.2022.00062
| Paper/Presentation Title | Educational Decision Support System Adopting Sentiment Analysis on Student Feedback |
|---|---|
| Presentation Type | Paper |
| Authors | Shaik, Thanveer, Tao, Xiaohui, Dann, Chris, Quadrelli, Carol, Li, Yan and O’Neill, Shirley |
| Journal or Proceedings Title | Proceedings of the 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) |
| Journal Citation | pp. 377-383 |
| Number of Pages | 7 |
| Year | 2022 |
| Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
| Place of Publication | United States |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/WI-IAT55865.2022.00062 |
| Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/10102002 |
| Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/10101871/proceeding |
| Conference/Event | 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) |
| Event Details | 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Delivery Online Event Date 17 to end of 20 Nov 2022 Event Location Niagara Falls, Canada |
| Abstract | Educational institutions are constantly analyzing their teaching practice and learning environments to provide a better learning experience for their students. Engaging with all students’ feedback and analyzing manually is almost impossible due to the amount of textual data. Sentiment analysis has the potential to analyze students’ feedback and extract their opinion or sentiment toward courses, teaching, and infrastructure. In this study, a conceptual framework is proposed to analyze qualitative feedback from students and classify them into 19 predefined aspects of Biggs’ model. Student feedback can be preprocessed using tokenization, stemming, and stopword removal. TextBlob was used to categorize the sentiment of students’ comments on each course using polarity and subjectivity. For the classification problem, a word embedding layer is used to transform the plain English words into vector representation and feed them to the deep learning model Bi-LSTM with forwarding and backward propagation. Deep learning is evaluated for its performance in multi-label classification. A case study with a desktop application adopting the proposed framework to analyze student comments of an education institution and illustrating the framework results in bar graphs. This would assist an educational institute in verifying its existing systems and improving its services to students. Overall, an application was designed for an educational institute to check and enhance teaching and learning practices. |
| Keywords | NLP; Sentiment Analysis; Course Feedback; Quality Assurance; Student Voice |
| ANZSRC Field of Research 2020 | 461103. Deep learning |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | School of Mathematics, Physics and Computing |
| School of Education | |
| Strategic Academic Projects |
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Ahad, Md Taimur, Li, Yan, Song, Bo and Bhuiyan, Touhid. 2023. "Comparison of CNN-based deep learning architectures for rice diseases classification." Artificial Intelligence in Agriculture. 9, pp. 22-35. https://doi.org/10.1016/j.aiia.2023.07.001Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Li, Yuefeng and Acharya, U. Rajendra. 2023. "Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability." Computer Methods and Programs in Biomedicine. 242. https://doi.org/10.1016/j.cmpb.2023.107771Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Acharya, U. Rajendra and Li, Yuefeng. 2023. "Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment." Brain Informatics. 10 (1). https://doi.org/10.1186/s40708-023-00188-6Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)
Sheehy, Joshua, Rutledge, Hamish, Acharya, U. Rajendra, Loh, Hui Wen, Gururajan, Raj, Tao, Xiaohui, Zhou, Xujuan, Li, Yuefeng, Gurney, Tiana and Kondalsamy-Chennakesavan, S.. 2023. "Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)." Artificial Intelligence in Medicine. 139. https://doi.org/10.1016/j.artmed.2023.102536Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network." Computers in Biology and Medicine. 160. https://doi.org/10.1016/j.compbiomed.2023.107022A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network
Ra, Jee Sook, Li, Tianning and Li, Yan. 2023. "A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network." Computer Methods and Programs in Biomedicine. 240. https://doi.org/https://doi.org/10.1016/j.cmpb.2023.107678Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers’ behaviours and movements in video conferencing
Verma, Navdeep, Getenet, Seyum, Dann, Christopher and Shaik, Thanveer. 2023. "Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers’ behaviours and movements in video conferencing." Research and Practice in Technology Enhanced Learning. 18. https://doi.org/10.58459/rptel.2023.18040Automatic sleep spindles identification and classification with multitapers and convolution
Zapata, Ignacio, Wen, Peng, Jones, Evan, Fjaagesund, Shauna and Li, Yan. 2024. "Automatic sleep spindles identification and classification with multitapers and convolution." Sleep. 47 (1). https://doi.org/10.1093/sleep/zsad159Topic Integrated Opinion-Based Drug Recommendation With Transformers
Job, Simi, Tao, Xiaohui, Li, Y., Li, Lin and Yong, Jianming. 2023. "Topic Integrated Opinion-Based Drug Recommendation With Transformers ." IEEE Transactions on Emerging Topics in Computational Intelligence. 7 (6), pp. 1676-1686. https://doi.org/10.1109/TETCI.2023.3246559Numerical Evaluation of the Human Skull with Focused Ultrasound Stimulation
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2023. "Numerical Evaluation of the Human Skull with Focused Ultrasound Stimulation ." Acoustics Australia. 51 (2), p. 233–241. https://doi.org/10.1007/s40857-023-00289-6Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Li, Li, Gururajan, Raj, Zhou, Xujuan and Acharya, U. Rajendra. 2023. "Remote patient monitoring using artificial intelligence: Current state, applications, and challenges." WIREs Data Mining and Knowledge Discovery. 13 (2). https://doi.org/10.1002/widm.1485Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks." Biomedical Signal Processing and Control. 79 (Part 2), pp. 1-8. https://doi.org/10.1016/j.bspc.2022.104242Trio-based collaborative multi-view graph clustering with multiple constraints
Wang, Ru, Li, Lin, Tao, Xiaohui, Dong, Xiao, Wang, Peipei and Liu, Peiyu. 2021. "Trio-based collaborative multi-view graph clustering with multiple constraints." Information Processing and Management. 58 (3), pp. 1-13. https://doi.org/10.1016/j.ipm.2020.102466Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification
Zapata, Ignacio A., Li, Yan and Wen, Peng. 2022. "Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification." IEEE Access. 10, pp. 71299-71310. https://doi.org/10.1109/ACCESS.2022.3188286Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms
Al-Salman, Wessam, Li, Yan, Oudah, Atheer Y. and Almaged, Sadiq. 2023. "Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms." Neuroscience Research. https://doi.org/10.1016/j.neures.2022.09.009Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia
Siuly, Siuly, Li, Yan, Wen, Peng and Alcin, Omer Faruk. 2022. "SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia." Computational Intelligence and Neuroscience. 2022, pp. 1-13. https://doi.org/10.1155/2022/1992596Multimodality Information Fusion for Automated Machine Translation
Li, Lin, Tayir, Turghun, Han, Yifeng, Tao, Xiaohui and Velasquez, Juan D.. 2023. "Multimodality Information Fusion for Automated Machine Translation." Information Fusion. 91, pp. 352-363. https://doi.org/10.1016/j.inffus.2022.10.018Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
Li, Lin, Wu, Xiaohua, Kong, Miao, Zhou, Dong and Tao, Xiaohui. 2022. "Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction." Raedt, Luc De (ed.) 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022): Special Track on AI for Good. Vienna, Austria 23 - 29 Jul 2022 Austria.AI enabled RPM for Mental Health Facility
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Xie, Haoran, Gururajan, Raj and Zhou, Xujuan. 2022. "AI enabled RPM for Mental Health Facility." 1st ACM Workshop on Mobile and Wireless Sensing for Smart Healthcare (WMSSH 2022). Sydney, Australia 21 Oct 2022 New York, United States. https://doi.org/10.1145/3556551.3561191Recognition of Prior Learning + Portfolio: A Fortuitous Blending
Quadrelli, Carol A, Lindsay, Julie and Cook-Watkins, Clarissa. 2022. "Recognition of Prior Learning + Portfolio: A Fortuitous Blending." 7th Students Transitions Achievement Retention & Success Conference (STARS 2022). Online 04 - 06 Jul 2022 Australia.Scoping recent investment in evaluation education in Australian universities
Quadrelli, Carol, Staheli, Jessica, Cook-Watkins, Clarissa and Alderman, Lyn. 2022. "Scoping recent investment in evaluation education in Australian universities." Evaluation Journal of Australasia. 22 (4), pp. 254-281. https://doi.org/10.1177/1035719X221120292Identifying informative tweets during a pandemic via a topic‑aware neural language model
Gao, Wang, Li, Lin, Tao, Xiaohui, Zhou, Jing and Tao, Jun. 2023. "Identifying informative tweets during a pandemic via a topic‑aware neural language model." World Wide Web. 26 (1), pp. 55-70. https://doi.org/10.1007/s11280-022-01034-1Multi-source information fusion for smart health with artificial intelligence
Tao, Xiaohui and Velasquez, Juan D.. 2022. "Multi-source information fusion for smart health with artificial intelligence." Information Fusion. 83-84, pp. 93-95. https://doi.org/10.1016/j.inffus.2022.03.010Autism in the Australian workplace: the employer perspective
Wen, Benjamin, van Rensburg, Henriette, O'Neill, Shirley and Attwood, Tony. 2023. "Autism in the Australian workplace: the employer perspective." Asia Pacific Journal of Human Resources. 61 (1), pp. 146-167. https://doi.org/10.1111/1744-7941.12333A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Shaik, Thanveer, Tao, Xiaohui, Li, Yan, Dann, Christopher, McDonald, Jacquie, Redmond, Petrea and Galligan, Linda. 2022. "A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis." IEEE Access. 10, pp. 56720-56739. https://doi.org/10.1109/ACCESS.2022.3177752A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia
Schmierer, Thomas, Li, Tianning and Li, Yan. 2022. "A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia." Health Information Science and Systems. 10 (1), pp. 1-14. https://doi.org/10.1007/s13755-022-00178-8FedStack: Personalized Activity Monitoring using Stacked Federated Learning
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Gururajan, Raj, Li, Yuefeng, Zhou, Xujuan and Acharya, U Rajendra. 2022. "FedStack: Personalized Activity Monitoring using Stacked Federated Learning." Knowledge-Based Systems. 257, pp. 1-14. https://doi.org/10.1016/j.knosys.2022.109929Adaptive Fault Resolution for Database Replication Systems
Wee, Chee Keong, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui and Wee, Nathan. 2022. "Adaptive Fault Resolution for Database Replication Systems." Li, Bohan, Yue, Lin, Jiang, Jing, Chen, Weitong, Li, Xue, Long, Guodong, Fang, Fei and Yu, Han (ed.) 17th International Conference on Advanced Data Mining and Applications (ADMA 2021). Sydney, Australia 02 - 04 Feb 2022 Berlin. Springer. https://doi.org/10.1007/978-3-030-95405-5_26Data Analytics on Online Student Engagement Data for Academic Performance Modeling
Tao, Xiaohui, Shannon-Honson, Aaron, Delaney, Patrick, Li, Lin, Dann, Christopher, Li, Yan and Xie, Haoran. 2022. "Data Analytics on Online Student Engagement Data for Academic Performance Modeling." IEEE Access. 10, pp. 103176-103186. https://doi.org/10.1109/ACCESS.2022.3208953An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2022. "An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods." Biomedical Signal Processing and Control. 77, pp. 1-8. https://doi.org/10.1016/j.bspc.2022.103820Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification
Ji, Xiaopeng, Li, Yan and Wen, Peng. 2022. "Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30, pp. 1464-1472. https://doi.org/10.1109/TNSRE.2022.3176004Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG." Sensors. 22 (16). https://doi.org/10.3390/s22166099A hybrid deep learning scheme for multi-channel sleep stage classification
Pei, Wei, Li, Yan, Siuly, Siuly and Wen, Peng. 2022. "A hybrid deep learning scheme for multi-channel sleep stage classification." Computers, Materials and Continua. 71 (1), pp. 889-905. https://doi.org/10.32604/cmc.2022.021830Deep boundary‑aware clustering by jointly optimizing unsupervised representation learning
Wang, Ru, Li, Lin, Wang, Peipei, Tao, Xiaohui and Liu, Peiyu. 2022. "Deep boundary‑aware clustering by jointly optimizing unsupervised representation learning." Multimedia Tools and Applications. 81 (24), p. 34309–34324. https://doi.org/10.1007/s11042-021-11597-2Novel large scale brain network models for EEG epileptic pattern generations
Al-Hossenat, Auhood, Song, Bo, Wen, Peng and Li, Yan. 2022. "Novel large scale brain network models for EEG epileptic pattern generations." Expert Systems with Applications. 194. https://doi.org/10.1016/j.eswa.2021.116477Identification of Normal and Depression EEG Signals in Variational Mode Decomposition Domain
Akbari, Hesam, Sadiq, Muhammad Tariq, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Identification of Normal and Depression EEG Signals in Variational Mode Decomposition Domain." Health Information Science and Systems. 10 (1), pp. 1-14. https://doi.org/10.1007/s13755-022-00187-7A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security
Btoush, Eyad, Zhou, Xujuan, Gururajan, Raj, Chan, KC and Tao, XiaoHui. 2021. "A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security." 8th IEEE International Conference on Behavioural and Social Computing (BESC 2021). Doha, Qatar 29 - 31 Oct 2021 Doha, Qatar. https://doi.org/10.1109/BESC53957.2021.9635559Detecting depression using an ensemble classifier based on Quality of Life scales
Tao, Xiaohui, Chi, Oliver, Delaney, Patrick J., Li, Lin and Huang, Jiajin. 2021. "Detecting depression using an ensemble classifier based on Quality of Life scales." Brain Informatics. 8, pp. 1-15. https://doi.org/10.1186/s40708-021-00125-5Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2016. "Editorial ." Evaluation Journal of Australasia. 16 (4), pp. 2-3. https://doi.org/10.1177/1035719X1601600401Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2016. "Editorial ." Evaluation Journal of Australasia. 16 (3), pp. 2-4. https://doi.org/10.1177/1035719X1601600301When death is not a crime: Challenges for police and policing
Carpenter, Belinda, Tait, Gordon, Quadrelli, Carol A. and Thompson, Ian. 2014. "When death is not a crime: Challenges for police and policing." Papers from the British Criminology Conference: An Online Journal by the British Society of Criminology. 14 (1-2), pp. 3-16.The Body in Grief: Death Investigations, Objections to Autopsy, and the Religious and Cultural ‘Other’
Carpenter, Belinda, Tait, Gordon and Quadrelli, Carol A.. 2014. "The Body in Grief: Death Investigations, Objections to Autopsy, and the Religious and Cultural ‘Other’." Religions. 5 (1), pp. 165-178. https://doi.org/10.3390/rel5010165Scrutinising the Other: Incapacity, Suspicion and Manipulation in a Death Investigation
Carpenter, Belinda, Tait, Gordon, Quadrelli, Carol A. and Drayton, John. 2015. "Scrutinising the Other: Incapacity, Suspicion and Manipulation in a Death Investigation." Journal of Intercultural Studies. 36 (2), pp. 113-128. https://doi.org/10.1080/07256868.2015.1008436Investigating death: the emotional and cultural challenges for police
Carpenter, Belinda, Tait, Gordon, Quadrelli, Carol A. and Thompson, Ian. 2016. "Investigating death: the emotional and cultural challenges for police." Policing and Society: an international journal of research and policy. 26 (6), pp. 698-712. https://doi.org/10.1080/10439463.2015.1016024Decision-making in a death investigation: Emotion, families and the coroner
Tait, Gordon, Carpenter, Belinda, Quadrelli, Carol and Barnes, Michael. 2016. "Decision-making in a death investigation: Emotion, families and the coroner." Journal of Law and Medicine. 23 (3), pp. 571-581.Higher Degree Research students at the centre of transformational practice: an evidence based approach
Hall, Jenny, Quadrelli, Carol and Sondergeld, Annette. 2017. "Higher Degree Research students at the centre of transformational practice: an evidence based approach." Walker, Ruth and Bedford, Simon (ed.) 40th HERSDA Annual International Conference (2017). Sydney, Australia 27 - 30 Jun 2017 Australia.Women Inmates' Accounts of Education in Queensland Corrections
Farrell, Ann, Danby, Susan, Skoien, Petra and Quadrelli, Carol. 2001. "Women Inmates' Accounts of Education in Queensland Corrections." Australia and New Zealand Journal of Law and Education. 6 (1 & 2), pp. 47-61.Flexibility, Technology and Academics' Practices: Tantalising Tales and Muddy Maps.
Taylor, Peter G., Lopez, Lucy and Quadrelli, Carol. 1996. Flexibility, Technology and Academics' Practices: Tantalising Tales and Muddy Maps. Canberra, Australia. Commonwealth of Australia.Women in prison: where are we going?
Quadrelli, Carol. 1997. "Women in prison: where are we going?" Themis: The Journal for Justice Professionals. 2 (2), pp. 15-22. https://doi.org/10.3316/ielapa.980201446Arguing the Autopsy: mutual suspicion, jurisdictional confusion and the socially marginal
Carpenter, Belinda, Tait, Gordon and Quadrelli, Carol. 2013. "Arguing the Autopsy: mutual suspicion, jurisdictional confusion and the socially marginal." Tauri, Juan and Richards, Kelly (ed.) 2nd International Conference Crime, Justice and Social Democracy (2013). Brisbane, Australia 2013 Australia.Feminist Evaluation and Research: Theory and Practice by S Brisolara, D Seigart and S SenGupta
Quadrelli, Carol. 2017. "Feminist Evaluation and Research: Theory and Practice by S Brisolara, D Seigart and S SenGupta." Evaluation Journal of Australasia. 17 (3), pp. 44-45. https://doi.org/10.1177/1035719X1701700307The SAGE Handbook of Qualitative Research Ethics by R Iphofen and M Tolich
Quadrelli, Carol. 2018. "The SAGE Handbook of Qualitative Research Ethics by R Iphofen and M Tolich." Evaluation Journal of Australasia. 18 (3), pp. 192-194. https://doi.org/10.1177/1035719X18796895Risky business: mapping ethical landscapes and negotiating governance tensions when researching female offending
Quadrelli, Carol and Robertson-Stainsby, Debra. 2013. "Risky business: mapping ethical landscapes and negotiating governance tensions when researching female offending." Tauri, Juan and Richards, Kelly (ed.) 2nd International Conference Crime, Justice and Social Democracy (2013). Brisbane, Australia 2013 Australia.Policing Expert Testimony in a Death Investigation: Medical Opinion as Legal Fact
Tait, Gordon, Carpenter, Belinda, Quadrelli, Carol and Naylor, Charles. 2015. "Policing Expert Testimony in a Death Investigation: Medical Opinion as Legal Fact." Berents, Helen and Scott, John (ed.) 3rd International Crime Justice and Social Democracy Conference (2015). Brisbane, Australia Australia.Editorial (Evaluation Journal of Australasia, Volume 20, Issue 4)
Rossingh, Bronwyn, Quadrelli, Carol, Adams, Jeff and Kingston, Kylie. 2020. "Editorial (Evaluation Journal of Australasia, Volume 20, Issue 4)." Evaluation Journal of Australasia. 20 (4), pp. 193-196. https://doi.org/10.1177/1035719X20972217Editorial
Quadrelli, Carol, Rossingh, Bronwyn and Gould, Liz. 2020. "Editorial ." Evaluation Journal of Australasia. 20 (3), pp. 125-128. https://doi.org/10.1177/1035719X20957129Editorial
Rossingh, Bronwyn, Quadrelli, Carol and Gould, Liz. 2020. "Editorial." Evaluation Journal of Australasia. 20 (1), pp. 3-5. https://doi.org/10.1177/1035719X20909721Editorial
Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2019. "Editorial." Evaluation Journal of Australasia. 19 (3), pp. 113-114. https://doi.org/10.1177/1035719X19878910Editorial
Quadrelli, Carol, Gould, Liz and Rossingh, Bronwyn. 2019. "Editorial ." Evaluation Journal of Australasia. 19 (2), pp. 61-63. https://doi.org/10.1177/1035719X19858474Editorial
Quadrelli, Carol A. 2018. "Editorial." Evaluation Journal of Australasia. 18 (3), pp. 137-140. https://doi.org/10.1177/1035719X18796897Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2017. "Editorial ." Evaluation Journal of Australasia. 17 (4), pp. 2-3. https://doi.org/10.1177/1035719X1701700401Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2017. "Editorial ." Evaluation Journal of Australasia. 17 (3), pp. 2-3. https://doi.org/10.1177/1035719X1701700Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2017. "Editorial." Evaluation Journal of Australasia. 17 (2), pp. 2-3. https://doi.org/10.1177/1035719X1701700201Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2017. "Editorial ." Evaluation Journal of Australasia. 17 (1), pp. 2-3. https://doi.org/10.1177/1035719X1701700101