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2022 Conference Publication Does evidence from peers help crowd workers in assessing truthfulness?Xu, Jiechen, Han, Lei, Fan, Shaoyang, Sadiq, Shazia and Demartini, Gianluca (2022). Does evidence from peers help crowd workers in assessing truthfulness?. WWW '22: The ACM Web Conference 2022, Online, 25 - 29 April, 2022. New York, NY, United States: ACM. doi: 10.1145/3487553.3524236 |
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2022 Conference Publication Evaluating the quality of repurposed data – the role of metadataZhou, Hui, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2022). Evaluating the quality of repurposed data – the role of metadata. 32nd Australasian Conference on Information Systems (ACIS), Wellington, New Zealand, 1-4 December 2020. Atlanta, GA USA: Association for Information Systems. |
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2022 Conference Publication A behavioural analysis of metadata use in evaluating the quality of repurposed dataZhou, Hui, Han, Lei, Dermatini, Gianluca, Indulska, Marta and Sadiq, Shazia (2022). A behavioural analysis of metadata use in evaluating the quality of repurposed data. 41st International Conference on Conceptual Modeling, ER 2022, Hyderabad, India, 17-20 October 2022. Heidelberg, Germany: Springer International Publishing. doi: 10.1007/978-3-031-17995-2_22 |
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2021 Conference Publication Value creation from data - Why is this a BPM problem?Sadiq, Shazia, Someh, Ida Asadi, Chen, Tianwa and Indulska, Marta (2021). Value creation from data - Why is this a BPM problem?. International Workshop on BPM Problems to Solve Before We Die (PROBLEMS 2021) co-located with the 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, 6-10 September, 2021. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen. |
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2021 Conference Publication Employing peer review to evaluate the quality of student generated content at scale: a trust propagation approachDarvishi, Ali, Khosravi, Hassan and Sadiq, Shazia (2021). Employing peer review to evaluate the quality of student generated content at scale: a trust propagation approach. L@S '21: Proceedings of the Eighth ACM Conference on Learning @ Scale, Virtual, 22-25 June 2021. New York, NY, USA: ACM. doi: 10.1145/3430895.3460129 |
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2021 Conference Publication Charting the design and analytics agenda of learnersourcing systemsKhosravi, Hassan, Demartini, Gianluca, Sadiq, Shazia and Gasevic, Dragan (2021). Charting the design and analytics agenda of learnersourcing systems. 11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. doi: 10.1145/3448139.3448143 |
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2021 Conference Publication Modelling learners in adaptive educational systems: a multivariate Glicko-based approachAbdi, Solmaz, Khosravi, Hassan and Sadiq, Shazia (2021). Modelling learners in adaptive educational systems: a multivariate Glicko-based approach. 11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. doi: 10.1145/3448139.3448189 |
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2021 Conference Publication Open learner models for multi-activity educational systemsAbdi, 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 |
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2020 Conference Publication Identifying cohorts: recommending drill-downs based on differences in behaviour for process miningLeemans, 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 |
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2020 Conference Publication Identifying cohorts that differ in their behaviour: tool supportLeemans, 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. |
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2020 Conference Publication Modelling User Behavior Dynamics with EmbeddingsHan, 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 |
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2020 Conference Publication Sensemaking in dual artefact tasks – the case of business process models and business rulesChen, 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 |
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2020 Conference Publication Complementing educational recommender systems with open learner modelsAbdi, 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 |
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2020 Conference Publication Modelling learners in crowdsourcing educational systemsAbdi, 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 |
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2020 Conference Publication Building data curation processes with crowd intelligenceChen, 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 |
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2020 Conference Publication Development and adoption of an adaptive learning system: reflections and lessons learnedKhosravi, 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 |
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2020 Conference Publication On understanding data worker interaction behaviorsHan, 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 |
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2020 Conference Publication Towards a software architecture for neurophysiological experimentsIoannou, 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 |
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2020 Conference Publication Utilising learnersourcing to inform design loop adaptivityDarvishi, 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 |
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2020 Conference Publication Recommending insightful drill-downs based on learning processes for learning analytics dashboardsShabaninejad, 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 |
