Nigel Beacham

Dr

    • AB24 3UE

    • 67 Citations
    20082019
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    Personal profile

    Research Interests:

    Digital and educational inclusion

    Educational technologies and assistive technologies

    E-learning and Work-based training

    Human-computer interaction and specific learning disabilities

    International Interests:

    Learning communities and sustainable learning environments

    Fingerprint Dive into the research topics where Nigel Beacham is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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    education Social Sciences
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    Research Output 2008 2019

    Adapting Performance And Emotional Support Feedback To Cultural Differences

    Adamu Sidi-Ali, M., Masthoff, J., Dennis, M., Kopecky, J. & Beacham, N. A., 9 Jun 2019, UMAP '19 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization. Papadopoulos, G. A., Samaras, G. & Weibelzahl, S. (eds.). New York, USA: Association for Computing Machinery (ACM), p. 318-326 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Feedback
    Experiments

    Group formation for collaborative learning: A systematic literature review

    Odo, C., Masthoff, J. & Beacham, N., 2019, Artificial Intelligence in Education: Proceedings of the 20th International Conference, AIED 2019. Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B. & Luckin, R. (eds.). Springer-Verlag, Vol. 2. p. 206-212 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11626 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Collaborative Learning
    Literature Review
    Quality Assessment
    Review

    Model-based characterization of text discourse content to evaluate online group collaboration

    Adeniran, A., Masthoff, J. & Beacham, N., 2019, Artificial Intelligence in Education: Proceedings of 20th International Conference, AIED 2019. Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B. & Luckin, R. (eds.). Springer-Verlag, Vol. 2. p. 3-8 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11626 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Scaffolds
    Visualization
    Model-based
    Evaluate
    Online Learning
    1 Citation (Scopus)

    Adapting exercise selection to performance, effort and self-esteem

    Okpo, J. A., Masthoff, J., Dennis, M. & Beacham, N., 31 Jul 2018, In : New Review of Hypermedia and Multimedia. 24, 3, p. 193-227 35 p.

    Research output: Contribution to journalArticle

    Intelligent systems

    Affective State for Learning Activities Selection

    Odo, C. R., Masthoff, J. F. M., Beacham, N. A. & Alhathli, M. A. E., 30 May 2018, Proceedings of Intelligent Mentoring Systems Workshop Associated with the 19th International Conference on Artificial Intelligence in Education, AIED 2018. p. 1-10 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    learning
    experience