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Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and Traditional Courses

Roya Hosseini, Peter Brusilovsky, Michael Yudelson, Arto Hellas
2017 Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization - UMAP '17  
In this paper, we are exploring the application of stereotype-based modeling to a more challenging task -predicting student problemsolving and learning in two programming courses and two MOOCs.  ...  Recent research in MOOC context demonstrated that data-driven learner stereotypes could work well for detecting and preventing student dropouts.  ...  If useful stereotype-level models are found, then it is possible to use stereotypes for problem-level personalization; i.e., to predict problem-solving performance independently for each stereotype and  ... 
doi:10.1145/3079628.3079672 dblp:conf/um/HosseiniBYH17 fatcat:i4zwioe3ejgo3bdphe72typu54

Changing Paradigms: From Schooling to Schools as Adaptive Recommendation Systems

Anne Kristine Petersen, Rene B Christiansen, Karsten Gynther
2017 Universal Journal of Educational Research  
type of adaptive MOOC, the so-called adaptive SPOC (Small Private Online Course).  ...  The paper discusses the concept of adaptation as addressed in educational research and draws on the system theory of Heinz von Foerster to shed light on how the educational system has used and understood  ...  Strong origins in educational software and student modelling, with a significant community in predicting course outcomes.  ... 
doi:10.13189/ujer.2017.051125 fatcat:iylhzy7zdbhwlnvtbm65zkfeoa

Student Success Prediction in MOOCs [article]

Josh Gardner, Christopher Brooks
2018 arXiv   pre-print
Predictive models of student success in Massive Open Online Courses (MOOCs) are a critical component of effective content personalization and adaptive interventions.  ...  In this article we review the state of the art in predictive models of student success in MOOCs and present a categorization of MOOC research according to the predictors (features), prediction (outcomes  ...  Acknowledgements This work was funded in part by the Michigan Institute for Data Science (MIDAS) Holistic Modeling of Education (HOME) project, and the University of Michigan Third Century Initiative.  ... 
arXiv:1711.06349v2 fatcat:fvirl7wgjzh2to5miagxq2pwpq

Adopting MOOCs for Quality Engineering Education in India [chapter]

Deepak B. Phatak
2014 Proceedings of the International Conference on Transformations in Engineering Education  
They will conduct group discussions and problem solving sessions rather than mere lecturing; and locally give and evaluate assignments of which the marks will be factored in the final grade.  ...  Conduct of practical sessions in laboratories is an important aspect of engineering education, for which MOOCs offer no alternative. We propose a blended MOOCs model for adoption in India.  ...  We have analysed the present MOOCs in this context, and have proposed a blended model for engineering education in India.  ... 
doi:10.1007/978-81-322-1931-6_3 fatcat:3ejj3t5nnvgfjejazsaf3bcsuu

EDUCON 2020 Table of Contents

2020 2020 IEEE Global Engineering Education Conference (EDUCON)  
ISBN: 978-1-7281-0930-5 Design Of Interactive Learning Cyber-Physical Tools for Mechanical Design Engineering Courses 1044-1048 Predicting performance with AI, a new tool for teachers and students  ...  : A comparative study on perceptions in UK and Asia 1007-1012 Using Transmedia Approaches in STEM 1013-1016 Predicting students' performance using survey data 1017-1023 Supporting Teachers for  ... 
doi:10.1109/educon45650.2020.9125298 fatcat:2to4hfxbdbacvfagm4vizppvhu

Motivation as a Lens to Understand Online Learners

René F. Kizilcec, Emily Schneider
2015 ACM Transactions on Computer-Human Interaction  
Although motivations varied across courses, we found that each motivation predicted key behavioral outcomes for learners (N = 71, 475 across 14 courses).  ...  Motivations thus provide a lens for understanding online learners and designing online courses to better support their needs. ACM Reference Format: René F. Kizilcec and Emily Schneider. 2015.  ...  ACKNOWLEDGMENTS The authors would like to thank Jeremy Bailenson, Candace Thille, and our three anonymous reviewers for their helpful comments.  ... 
doi:10.1145/2699735 fatcat:3i4kxsxwfnayrg6d7q3tonc7de

IRRODL Volume 15, Number 2

Various Authors
2014 International Review of Research in Open and Distance Learning  
Advanced IT support for both the modeling of the learning materials and services and a configurator to be used by a learner are necessary conditions for this approach.  ...  In a high school environment Chang et al. compare and contrast blended and traditional classroom environments.  ...  Acknowledgement We would like to acknowledge the following persons for their willingness to provide the  ... 
doi:10.19173/irrodl.v15i2.1892 fatcat:j6oqe6pqcveyvhdozaizigu47q

Learning Analytics in Massive Open Online Courses [article]

Mohammad Khalil
2018 arXiv   pre-print
Learning analytics and Massive Open Online Courses (MOOCs) are two of the most relevant emerging topics in this domain.  ...  MOOCs offer diverse challenges and practices for learning analytics to tackle.  ...  Stereotypes from traditional massive face-to-face classes might also occur in online courses.  ... 
arXiv:1802.09344v1 fatcat:w42m2vuoibezpig5wewuh6so2i

Fixing higher education through technology: Canadian media coverage of massive open online courses

Delia Dumitrica
2017 Journal of Educational Media  
The popularization of massive open online courses (MOOCs) has been shrouded in promises of disruption and radical change in education.  ...  Where newspapers construct MOOCs as an easy fix for an allegedly inefficient and outdated higher education system, professional magazines question the relationship between technology, higher education  ...  This paper is part of the joint project with Dr Williams aimed at mapping MOOCs in Canada.  ... 
doi:10.1080/17439884.2017.1278021 fatcat:grm2iijr4vcjzg22oicqn3ctya

Editorial for EAIT issue 2, 2019

Arthur Tatnall
2019 Education and Information Technologies : Official Journal of the IFIP technical committee on Education  
This study aimed to shed light on these stereotypes and 'myths' by investigating gender differences in terms of student preferences and performance in undergraduate courses included in the entire curriculum  ...  They explore the potential of Educational Data Mining for academic guidance recommendation in predicting students' performance.  ... 
doi:10.1007/s10639-019-09874-7 fatcat:7k25obzssvfs3bjxxsdcppefne

Predictors of the Use of ICTS in Higher Education: Relevance and Readiness of Universities for Their Implementation

Elena Tokareva, Olga Malysheva, Yulia Smirnova, Larisa Orchakova
2021 International Journal of Emerging Technologies in Learning (iJET)  
education and the MOOC system.  ...  Lack of awareness of students on the introduction of new methods of learning in the educational institution was revealed in the course of the study.  ...  2 3 7.07 <0.05 19 Does ICT use affect academic performance? 3 2 7.07 <0.05 20 Do you know that there are massive open online courses (MOOC)?  ... 
doi:10.3991/ijet.v16i14.20047 fatcat:g6lhneq7qneyhhmi3xi2p2qhzm

Editorial for EAIT issue 2, 2021

Arthur Tatnall
2021 Education and Information Technologies : Official Journal of the IFIP technical committee on Education  
We thank them very much for their efforts and have included a list of all those who completed three or more reviews in 2020 in this journal issue. We do, however, have a problem.  ...  This will mean a huge effort for our present number of dedicated and professional reviewers.  ...  Toward a model for acceptance of MOOCs in higher education: the modified UTAUT model for Saudi Arabia by Maryam Altalhi (Taif University, Saudi Arabia) makes use of the Unified Theory of Acceptance and  ... 
doi:10.1007/s10639-021-10488-1 pmid:33716546 pmcid:PMC7944468 fatcat:vpfmj7yhmbbp5gbkcgspodkwoi

Out of the laboratory and into the classroom: the future of artificial intelligence in education

Daniel Schiff
2020 AI & Society: The Journal of Human-Centred Systems and Machine Intelligence  
Like previous educational technologies, artificial intelligence in education (AIEd) threatens to disrupt the status quo, with proponents highlighting the potential for efficiency and democratization, and  ...  This proposal serves as a jumping off point for recommendations to AIEd stakeholders towards improving their engagement with socially responsible research and implementation of AI in educational systems  ...  Mathematics relies on well-established equations and symbols, and even standard problem-solving approaches and student misconceptions are well understood and easily modeled by AIEd.  ... 
doi:10.1007/s00146-020-01033-8 pmid:32836908 pmcid:PMC7415331 fatcat:g5m7cfmlavavfhdabd7cwrofsy

Sustaining a Culture of Excellence: Massive Open Online Course (MOOC) on Land Management

Cheonjae Lee, Walter Timo de Vries
2019 Sustainability  
We developed a MOOC entitled Introduction to Land Management (ILMx MOOC) for potential entrants to the land management domain, or for those who simply want to become aware of land-related challenges and  ...  brought together with thousands of participants worldwide with freely accessible course content and rooms for open discussion.  ...  Acknowledgments: We thank three anonymous reviewers for their insightful comments to improve the clarity of the theoretical arguments in the manuscript.  ... 
doi:10.3390/su11123280 fatcat:zuvbf4ucindsvlkg46jp6wmzai

Open Education: fundamentals and approaches. A learning journey opening up teaching in higher education

S. Affouneh, M. Aldaoud, A. Almakari, K. Berrada, D. Burgos, A. Eldeib, I. Maya-Jariego, O. Mimi, F. Nascimbeni, R. Qasim, C. Stefanelli, A. Tabacco (+6 others)
2018 Zenodo  
The course "Open Education: fundamentals and approaches.  ...  The course targets primarily university teachers with an interest in learning more about Open Education and with a motivation to adopt Open Education approaches and OER into their teaching.  ...  Problem solving skills Managerial skills, task solving in different contexts, planning, etcetera.  ... 
doi:10.5281/zenodo.1436495 fatcat:rho3vsvsrnbgri3pmhabilroqm
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