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2021

Conference Publication

Open learner models for multi-activity educational systems

Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Darvishi, Ali (2021). Open learner models for multi-activity educational systems. 22nd International Conference, AIED, Utrecht, The Netherlands, 14-18 June 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-78270-2_2

Open learner models for multi-activity educational systems

2021

Journal Article

Preface

Sadiq, Shazia, Teniente, Ernest and Indulska, Marta (2021). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12751 LNCS, v-vi. doi: 10.1007/s10796-012-9353-1

Preface

2021

Edited Outputs

Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings

La Rosa, Marcello, Sadiq, Shazia and Teniente, Ernest eds. (2021). Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings. Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC Australia, 28 June – 2 July 2021. Cham, Switzerland: Springer.

Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings

2020

Conference Publication

Identifying cohorts: recommending drill-downs based on differences in behaviour for process mining

Leemans, Sander J. J., Shabaninejad, Shiva, Goel, Kanika, Khosravi, Hassan, Sadiq, Shazia and Wynn, Moe Thandar (2020). Identifying cohorts: recommending drill-downs based on differences in behaviour for process mining. Conceptual Modeling 39th International Conference, ER 2020, Vienna, Austria, 3–6 November, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-62522-1_7

Identifying cohorts: recommending drill-downs based on differences in behaviour for process mining

2020

Conference Publication

Identifying cohorts that differ in their behaviour: tool support

Leemans, Sander, Shabaninejad, Shiva, Goel, Kanika, Khosravi, Hassan, Sadiq, Shazia and Wynn, Moe (2020). Identifying cohorts that differ in their behaviour: tool support. 39th International Conference on Conceptual Modeling , Vienna, Austria, 3-6 November 2020. CEUR-WS.

Identifying cohorts that differ in their behaviour: tool support

2020

Conference Publication

Modelling User Behavior Dynamics with Embeddings

Han, Lei, Checco, Alessandro, Difallah, Djellel, Demartini, Gianluca and Sadiq, Shazia (2020). Modelling User Behavior Dynamics with Embeddings. 29th ACM International Conference on Information & Knowledge Management, Online, 19-23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3411985

Modelling User Behavior Dynamics with Embeddings

2020

Conference Publication

Sensemaking in dual artefact tasks – the case of business process models and business rules

Chen, Tianwa, Sadiq, Shazia and Indulska, Marta (2020). Sensemaking in dual artefact tasks – the case of business process models and business rules. 39th ER: International Conference on Conceptual Modeling, Vienna, Austria, 3-6 November 2020. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-62522-1_8

Sensemaking in dual artefact tasks – the case of business process models and business rules

2020

Conference Publication

Recommending insightful drill-downs based on learning processes for learning analytics dashboards

Shabaninejad, Shiva, Khosravi, Hassan, Leemans, Sander J. J., Sadiq, Shazia and Indulska, Marta (2020). Recommending insightful drill-downs based on learning processes for learning analytics dashboards. AIED: International Conference on Artificial Intelligence in Education, Ifrane, Morocco, 6-10 July 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-52237-7_39

Recommending insightful drill-downs based on learning processes for learning analytics dashboards

2020

Conference Publication

Complementing educational recommender systems with open learner models

Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Gasevic, Dragan (2020). Complementing educational recommender systems with open learner models. 10th International Conference on Learning Analytics and Knowledge, Portland, OR USA, March 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3375462.3375520

Complementing educational recommender systems with open learner models

2020

Conference Publication

Modelling learners in crowdsourcing educational systems

Abdi, Solmaz, Khosravi, Hassan and Sadiq, Shazia (2020). Modelling learners in crowdsourcing educational systems. AIED: International Conference on Artificial Intelligence in Education, Ifrane, Morocco, 6-10 July 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-52240-7_1

Modelling learners in crowdsourcing educational systems

2020

Conference Publication

Building data curation processes with crowd intelligence

Chen, Tianwa, Han, Lei, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). Building data curation processes with crowd intelligence. CAiSE Forum 2020: Advanced Information Systems Engineering, Grenoble, France, 8 – 12 June 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-58135-0_3

Building data curation processes with crowd intelligence

2020

Conference Publication

Development and adoption of an adaptive learning system: reflections and lessons learned

Khosravi, Hassan, Sadiq, Shazia and Gasevic, Dragan (2020). Development and adoption of an adaptive learning system: reflections and lessons learned. SIGCSE '20: The 51st ACM Technical Symposium on Computer Science Education, Portland, OR USA, March 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3328778.3366900

Development and adoption of an adaptive learning system: reflections and lessons learned

2020

Conference Publication

On understanding data worker interaction behaviors

Han, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). On understanding data worker interaction behaviors. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual Event China, July 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401059

On understanding data worker interaction behaviors

2020

Conference Publication

Towards a software architecture for neurophysiological experiments

Ioannou, Constantina, Kindler, Ekkart, Bækgaard, Per, Sadiq, Shazia and Weber, Barbara (2020). Towards a software architecture for neurophysiological experiments. NeuroIS Retreat, Vienna, Australia, 4-6 June 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-28144-1_17

Towards a software architecture for neurophysiological experiments

2020

Conference Publication

Utilising learnersourcing to inform design loop adaptivity

Darvishi, Ali, Khosravi, Hassan and Sadiq, Shazia (2020). Utilising learnersourcing to inform design loop adaptivity. 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Heidelberg, Germany, 14 – 18 September 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-57717-9_24

Utilising learnersourcing to inform design loop adaptivity

2019

Conference Publication

Compliance centric data quality management – the banking and financial industry perspective

Khan, Faisal, Indulska, Marta and Sadiq, Shazia (2019). Compliance centric data quality management – the banking and financial industry perspective. ACIS 2019, Perth, WA, Australia, 9-11 December 2019. Perth, WA, Australia: ACIS.

Compliance centric data quality management – the banking and financial industry perspective

2019

Journal Article

Discovering data quality problems: The case of repurposed data

Zhang, Ruojing, Indulska, Marta and Sadiq, Shazia (2019). Discovering data quality problems: The case of repurposed data. Business and Information Systems Engineering, 61 (5), 575-593. doi: 10.1007/s12599-019-00608-0

Discovering data quality problems: The case of repurposed data

2019

Journal Article

Leveraging multi-aspect time-related influence in location recommendation

Hosseini, Saeid, Yin, Hongzhi, Zhou, Xiaofang, Sadiq, Shazia, Kangavari, Mohammad Reza and Cheung, Ngai-Man (2019). Leveraging multi-aspect time-related influence in location recommendation. World Wide Web, 22 (3), 1001-1028. doi: 10.1007/s11280-018-0573-2

Leveraging multi-aspect time-related influence in location recommendation

2019

Journal Article

Factors influencing effective use of big data: A research framework

Sejahtera Surbakti, Feliks P. , Wang, Wei, Indulska, Marta and Sadiq, Shazia (2019). Factors influencing effective use of big data: A research framework. Information and Management, 57 (1) 103146, 103146. doi: 10.1016/j.im.2019.02.001

Factors influencing effective use of big data: A research framework

2019

Conference Publication

Context-aware attention-based data augmentation for POI recommendation

Li, Yang, Luo, Yadan, Zhang, Zheng, Sadiq, Shazia and Cui, Peng (2019). Context-aware attention-based data augmentation for POI recommendation. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), Macao, 8-12 April 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDEW.2019.00-14

Context-aware attention-based data augmentation for POI recommendation