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Issue DateTitleAuthor(s)
2015LATUX: an Iterative Workflow for Designing, Validating and Deploying Learning Analytics VisualisationsMartinez-Maldonado, R; Pardo, A; Mirriahi, N; Yacef, K; Kay, J; Clayphan, A
2019-01-01Orchestrating learning analytics (OrLA): Supporting inter-stakeholder communication about adoption of learning analytics at the classroom levelPrieto, LP; Rodríguez-Triana, MJ; Martínez-Maldonado, R; Dimitriadis, Y; Gašević, D
2017-04-01Automatic Chinese Factual Question GenerationLiu, M; Rus, V; Liu, L
2023-12-01Pendulum waves: A model of Thomae's functionFeng, X; Lu, C; Schulte, J; Shan, Z; Liu, G
2021Storytelling With Learner Data: Guiding Student Reflection on Multimodal Team DataFernandez-Nieto, GM; Echeverria, V; Buckingham Shum, S; Mangaroska, K; Kitto, K; Palominos, E; Axisa, C; Martinez-Maldonado, R
2023-01-01Decision-Making Models for ScientistsFlowers, R; Trede, F
2023Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary ApproachFerguson, R; Khosravi, H; Kovanović, V; Viberg, O; Aggarwal, A; Brinkhuis, M; Buckingham Shum, S; Chen, LK; Drachsler, H; Guerrero, VA; Hanses, M; Hayward, C; Hicks, B; Jivet, I; Kitto, K; Kizilcec, R; Lodge, JM; Manly, CA; Matz, RL; Meaney, MJ; Ochoa, X; Schuetze, BA; Spruit, M; Van Haastrecht, M; Van Leeuwen, A; Van Rijn, L; Tsai, Y-S; Weidlich, J; Williamson, K; Yan, VX
-Professional learning in engineering internships: what do supervisors learn from their student supervision practices?Goldsmith, R; Trede, F
2019-01-01Mentoring the future workforce: Industry perceptions of supervising studentsTrede, F; Goldsmith, R
2023-11-21Researching professional identity development: An arts-informed approachTrede, F
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