Design requirements, student perception indicators and validation metrics for intelligent exploratory learning environments
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When students were in flow, low-interruptive feedback was preferred by students.
“However, when students were in flow , low-interruptive feedback (a glowing lightbulb which indicates that feedback is available) was preferred by students (Mavrikis et al., 2013).”
From Affective learning: Improving engagement and enhancing learning with affect-aware feedback (2017) · cites this paper as Mavrikis et al., 2013
Students can find it very disruptive when they are interrupted during a learning activity.
“In the non-affect condition, INSTRUCTIVE feedback, OTHER PROBLEM SOLVING support, and REFLECTIVE prompts were provided in a lowinterruptive way, as research (Mavrikis et al., 2013) has shown that students can find it very disruptive when they are interrupted during a learning activity.”
From Affective learning: Improving engagement and enhancing learning with affect-aware feedback (2017) · cites this paper as Mavrikis et al., 2013
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- Authors
- Mavrikis, M., Gutierrez-Santos, S., Geraniou, E., & Noss, R.
- Affiliations
- University of London (GB)
- Corresponding author
- Mavrikis, Manolis
- Venue
- Personal and Ubiquitous Computing
- Published
- 2012-05-03
- Volume
- 17
- Issue
- 8
- Pages
- 1605-1620
- ISSN
- 1617-4909 (ISSN-L)
- 1617-4917
- OpenAlex
- W2021484521
- Cited by
- 38
- References
- 40
- Citations by year
- 2025: 1 · 2024: 2 · 2022: 4 · 2020: 1 · 2019: 6 · 2017: 2 · 2016: 7 · 2015: 8 · 2014: 3 · 2013: 3 · 2012: 1
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Personal and Ubiquitous Computing (publishedVersion)
- BIROn (Birkbeck, University of London) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Economic and Social Research Council (ES/E020089/1, RES-139-25-0381)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- exploratory learning, smart learning environments, design requirements, validation metrics, formative assessment, intelligent tutoring systems, helpfulness, comprehension
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