Advancing teacher technology education using open-ended learning environments as research and training platforms
A primary concern of teacher technology education is for pre-service teachers to develop a
sophisticated mental model of the affordances of technology that facilitates both teaching …
sophisticated mental model of the affordances of technology that facilitates both teaching …
Towards simulation-based evaluation of recommender systems with carousel interfaces
Offline data-driven evaluation is considered a low-cost and more accessible alternative to
the online empirical method of assessing the quality of recommender systems. Despite their …
the online empirical method of assessing the quality of recommender systems. Despite their …
The Efficacy of Artificial Intelligence-Enabled Adaptive Learning Systems From 2010 to 2022 on Learner Outcomes: A Meta-Analysis
The purpose of this research study was to examine the overall effect of adaptive learning
systems deployed using artificial intelligence technology across a range of relevant …
systems deployed using artificial intelligence technology across a range of relevant …
Defining and measuring completion and assessment biases with respect to English language and development status: Not all MOOCs are equal
S Karp Gershon, JA Ruipérez-Valiente… - International Journal of …, 2021 - Springer
Abstract The emergence of Massive Open Online Courses (MOOCs) broadened the
educational landscape by providing free access to quality learning materials for anyone with …
educational landscape by providing free access to quality learning materials for anyone with …
From Ranked Lists to Carousels: A Carousel Click Model
Carousel-based recommendation interfaces allow users to explore recommended items in a
structured, efficient, and visually-appealing way. This made them a de-facto standard …
structured, efficient, and visually-appealing way. This made them a de-facto standard …
[PDF][PDF] Simulation-Based Evaluation of Interactive Recommender Systems.
B Rahdari, P Brusilovsky - IntRS@ RecSys, 2022 - ceur-ws.org
Offline data-driven evaluation is considered a low-cost and more accessible alternative for
the online empirical method of assessing the quality of recommender systems. Despite their …
the online empirical method of assessing the quality of recommender systems. Despite their …
Simulating preservice teachers' information-seeking behaviors while learning with an intelligent web browser
E Poitras, N Fazeli - Society for Information Technology & Teacher …, 2017 - learntechlib.org
Learner models enable open-ended learning environments (OELEs) to adapt instruction to
the specific needs of different learners. Simulation-based methods allow researchers to …
the specific needs of different learners. Simulation-based methods allow researchers to …
[PDF][PDF] Defining and Measuring Completion and Assessment Biases with Respect to English Language and Development Status: Not All MOOCs are Equal
SK Gershon, JA Ruipérez-Valiente… - International Journal of …, 2021 - researchgate.net
Abstract The emergence of Massive Open Online Courses (MOOCs) broadened the
educational landscape by providing free access to quality learning materials for anyone with …
educational landscape by providing free access to quality learning materials for anyone with …