Teaching Recommender Systems at Large Scale
@article{KonstanJoseph2015TeachingRS, title={Teaching Recommender Systems at Large Scale}, author={A KonstanJoseph and D. WalkerJ. and BrooksD. Christopher and BrownKeith and D EkstrandMichael}, journal={ACM Transactions on Computer-Human Interaction}, year={2015}, volume={22} }
In the fall of 2013, we offered an open online Introduction to Recommender Systems through Coursera, while simultaneously offering a for-credit version of the course on-campus using the Coursera pl...
24 Citations
LensKit for Python: Next-Generation Software for Recommender Systems Experiments
- Computer ScienceCIKM
- 2020
The next generation of the LensKit project is presented, re-envisioning the original tool's objectives as flexible Python package for supporting recommender systems research and development.
Students' Patterns of Engagement and Course Performance in Cloud-Classroom Courses
- Education2016 International Symposium on Educational Technology (ISET)
- 2016
In this paper, we study the public elementary course "software engineering" which is based on the StarC platform. StarC is a teaching service platform developed by Central China Normal University. It…
Benefits of Massive Open Online Course Participation: Deductive Thematic Analysis (Preprint)
- Education
- 2019
BACKGROUND
Massive open online courses (MOOCs), as originally conceived, promised to provide educational access to anyone with an internet connection. However, the expansiveness of MOOC education…
How Do We Model Learning at Scale? A Systematic Review of Research on MOOCs
- Education
- 2018
Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes…
Designing Massive Open Online Courses to take account of participant motivations and expectations
- PsychologyBr. J. Educ. Technol.
- 2017
The relationship between participant motivations and expectations in this MOOC, undertaken mainly by participants who were themselves educators, is described, and recommendations for pedagogical design in MOOCs are made to promote and enable participant engagement and completion.
Role of Instructors' Forum Interactions With Students in Promoting MOOC Continuance
- EducationJ. Glob. Inf. Manag.
- 2018
First, online forum indeed plays an important role in motivating learner continuance, and among the different types of forum activities, interaction with instructors emerge as an important factor contributing to more assignment completions in addition to forum posting.
Benefits of Massive Open Online Course Participation: Deductive Thematic Analysis
- EducationJournal of medical Internet research
- 2020
A qualitative synthesis in the form of a deductive thematic analysis of a set of MOOC evaluation studies was conducted to explore outcomes for MOOC learners, that is, how the learners themselves benefit from participating in MOOCs.
The Construction of Accurate Recommendation Model of Learning Resources of Knowledge Graph under Deep Learning
- Computer ScienceScientific Programming
- 2022
A learning resource accurate recommendation model based on the knowledge graph under deep learning that is comprised of a learner knowledge representation (KR) model and a learning resource KR model is built.
Talkabout: Making Distance Matter with Small Groups in Massive Classes
- EducationCSCW
- 2015
This work challenges the view that online classes are useful only when in-person classes are unavailable and demonstrates how diverse online classrooms can create benefits that are largely unavailable in a traditional classroom.
Towards a hybrid learning model for the higher education system in Morocco
- Education2017 Intelligent Systems and Computer Vision (ISCV)
- 2017
The Moroccan Higher Education System has been based until now on actual physical students' attendance to courses and lectures as one of its compulsory features. In this way, students, who, for some…
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