Methods of AI for multimodal sensing and action for complex situations

E Blasch, R Cruise, A Aved, U Majumder, T Rovito - AI Magazine, 2019 - ojs.aaai.org
Artificial intelligence (AI) seeks to emulate human reasoning, but is still far from achieving
such results for actionable sensing in complex situations. Instead of emulating human …

The effect of metacognitive scaffolding for learning by teaching a teachable agent

N Matsuda, W Weng, N Wall - … Journal of Artificial Intelligence in Education, 2020 - Springer
The effect of metacognitive scaffolding for learning by teaching was investigated and
compared against learning by being tutored. Three versions of an online learning …

Ontology based E-learning framework: A personalized, adaptive and context aware model

S Sarwar, ZU Qayyum, R García-Castro… - Multimedia Tools and …, 2019 - Springer
Enhancing the degree of learner productivity, one of the major challenges in E-Learning
systems, may be catered through effective personalization, adaptivity and context …

Domain modeling for AIED systems with connections to modeling student knowledge: A review

V Aleven, J Rowe, Y Huang… - Handbook of Artificial …, 2023 - elgaronline.com
A central component of many AIED systems is a “domain model,” that is, a representation of
knowledge of the domain of instruction. The system uses the model in many ways to provide …

Domain-specific modeling languages in computer-based learning environments: A systematic approach to support science learning through computational modeling

NM Hutchins, G Biswas, N Zhang, C Snyder… - International Journal of …, 2020 - Springer
Driven by our technologically advanced workplaces and the surge in demand for proficiency
in the computing disciplines, it is becoming imperative to provide computational thinking …

Identifying gaps in climate change education-a case study in Austrian schools

E Feldbacher, M Waberer, L Campostrini… - … in Geographical and …, 2024 - Taylor & Francis
In a case study among Austrian school students, we checked the school students'
knowledge and awareness of climate change on different levels of complexity. We aimed to …

Sources of evidence-of-learning: Learning and assessment in the era of big data

B Cope, M Kalantzis - Open Review of Educational Research, 2015 - Taylor & Francis
This article sets out to explore a shift in the sources of evidence-of-learning in the era of
networked computing. One of the key features of recent developments has been popularly …

Teachable agent as an interactive tool for cognitive task analysis: A case study for authoring an expert model

N Matsuda - International Journal of Artificial Intelligence in …, 2022 - Springer
This paper demonstrates that a teachable agent (TA) can play a dual role in an online
learning environment (OLE) for learning by teaching—the teachable agent working as a …

Combining hands-on and minds-on learning with interactive diagrams in primary science education

T van Eijck, B Bredeweg, J Holt, M Pijls… - … Journal of Science …, 2024 - Taylor & Francis
Thinking back and forth between observing physical phenomena and develo** scientific
ideas, also known as hands-on and minds-on learning, is essential for the development of …

Stargazing Live! Inspiring with Real Data in a Mobile Planetarium and Learning Through Conceptual Modelling

B Bredeweg, M Kragten, J Holt, D Vaendel… - … on Intelligent Tutoring …, 2023 - Springer
Abstract We present the Stargazing Live! program comprising a planetarium experience and
supporting lesson activities for pre-university physics education. The mobile planetarium …