Journal articles

The effects of rubrics on evaluative judgement: a randomised controlled experiment

Gyamfi, George, Hanna, Barbara E., and Khosravi, Hassan (2021). The effects of rubrics on evaluative judgement: a randomised controlled experiment. Assessment and Evaluation in Higher Education. https://doi.org/10.1080/02602938.2021.1887081

Evaluating the Quality of Learning Resources: A Learnersourcing Approach

Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia, and Demartini, Gianluca (2021). Evaluating the Quality of Learning Resources: A Learnersourcing Approach. IEEE Transactions on Learning Technologies 1-1. https://doi.org/10.1109/tlt.2021.3058644

RiPPLE: a crowdsourced adaptive platform for recommendation of learning activities

Khosravi, Hassan, Kitto, Kirsty and Williams, Joseph Jay (2019) RiPPLE: a crowdsourced adaptive platform for recommendation of learning activities. Journal of Learning Analytics6 3: 91-105. https://doi.org/10.18608/jla.2019.63.12

Riple: Recommendation in peer-learning environments based on knowledge gaps and interests

Khosravi, Hassan, Cooper, Kendra, and Kitto, Kirsty (2017). Riple: Recommendation in peer-learning environments based on knowledge gaps and interests. 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, China, 25-28 June 2017. Memphis, TN, United States: International Working Group on Educational Data Mining.

Conference publications

Modelling learners in adaptive educational systems: a multivariate Glicko-based approach

Abdi, 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. https://doi.org/10.1145/3448139.3448189

Charting the design and analytics agenda of learnersourcing systems

Khosravi, Hassan, Demartini, Gianluca, Sadiq, Shazia and Gasevic, Dragan (2021). Charting the design and analytics agenda of learnersourcing systems11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. https://doi.org/10.1145/3448139.3448143

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. https://doi.org/10.1007/978-3-030-57717-9_24

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. https://doi.org/10.1007/978-3-030-52240-7_1

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. https://doi.org/10.1145/3375462.3375520

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. https://doi.org/10.1145/3328778.3366900

Fostering and supporting empirical research on evaluative judgement via a crowdsourced adaptive learning system

Khosravi, Hassan, Gyamii, George, Hanna, Barbara E., and Lodge, Jason (2020). Fostering and supporting empirical research on evaluative judgement via a crowdsourced adaptive learning system. LAK 2020: the Tenth International Conference on Learning Analytics and Knowledge, Frankfurt, Germany, 23 - 27 March 2020. New York, United States: ACM .https://doi.org/10.1145/3375462.3375532

A multivariate ELO-based learner model for adaptive educational systems

Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia, and Gasevic, Dragan (2019). A multivariate ELO-based learner model for adaptive educational systems. 12th International Conference on Educational Data Mining, Montreal, Canada, July 2-5, 2019. International Educational Data Mining Society.

Reciprocal content recommendation for peer learning study sessions

Potts, Boyd A., Khosravi, Hassan, and Reidsema, Carl (2018). Reciprocal content recommendation for peer learning study sessions. International Conference on Artificial Intelligence in Education, London, United Kingdom, 27-30 June 2018. Heidelberg, Germany: Springer. https://doi.org/10.1007/978-3-319-93843-1_34

Reciprocal peer recommendation for learning purposes

Potts, Boyd A., Khosravi, Hassan, Reidsema, Carl, Bakharia, Aneesha, Belonogoff, Mark, and Fleming, Melanie (2018). Reciprocal peer recommendation for learning purposes. 8th International Conference on Learning Analytics and Knowledge, Sydney, New South Wales, Australia, 7 - 9 March 2018. New York, NY, United States: ACM Digital Library. https://doi.org/10.1145/3170358.3170400

Other outputs

Development of cost-effective adaptive educational systems via crowdsourcing

Khosravi, Hassan (2019, December 02). Development of cost-effective adaptive educational systems via crowdsourcing. EDUCAUSE Review.