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IRT-based adaptive hints to scaffold learning in programming

Maomi Ueno, Yoshimitsu Miyazawa
2017 IEEE Transactions on Learning Technologies  
Over the past few decades, many studies conducted in the field of learning science have described that scaffolding plays an important role in human learning.  ...  To ascertain that optimal probability, we developed a scaffolding system that provides adaptive hints to adjust the predictive probability of the learner's successful performance to the previously determined  ...  ACKNOWLEDGMENTS Parts of this research were reported previously in an earlier conference paper published in [64] . The authors appreciate the anonymous reviewers' helpful and insightful comments.  ... 
doi:10.1109/tlt.2017.2741960 fatcat:bj422loejbaevctcsjdlan53ky

The SIETTE Automatic Assessment Environment

Ricardo Conejo, Eduardo Guzmán, Monica Trella
2015 International Journal of Artificial Intelligence in Education  
Siette can be used for formative and summative assessment and incorporates different learning elements, including scaffolding features, such as hints, feedback, and misconceptions.  ...  Siette is designed as a web-based assessment component that can be semantically integrated with intelligent systems or with large LMSs, such as Moodle.  ...  Acknowledgments The authors of this article would like to thank to all the teachers and students who participated in the experiments.  ... 
doi:10.1007/s40593-015-0078-4 fatcat:snewm3dzfngqtfq3hgssc2fmjm

2018 Index IEEE Transactions on Learning Technologies Vol. 11

2019 IEEE Transactions on Learning Technologies  
-Dec. 2018 415-428 Adaptive systems IRT-Based Adaptive Hints to Scaffold Learning in Programming. Ueno, M., þ, TLT Oct.  ...  -Dec. 2018 520-535 Fading channels IRT-Based Adaptive Hints to Scaffold Learning in Programming. Ueno, M., þ, TLT Oct.  ... 
doi:10.1109/tlt.2019.2891054 fatcat:52fwidmagfeljk7e6toiu7sdcu

Addressing the assessment challenge with an online system that tutors as it assesses

Mingyu Feng, Neil Heffernan, Kenneth Koedinger
2009 User modeling and user-adapted interaction  
What if we better integrated assessment into classroom instruction and allowed students to learn during the test?  ...  We have integrated assistance and assessment in the ASSISTment system.  ...  Diagnostic Reports to Teachers, Parents, & Students while Employing Mastery learning" program grant #R305A070440, the Office of Naval Research grant # N00014-03-1-0221, NSF CAREER award to Neil Heffernan  ... 
doi:10.1007/s11257-009-9063-7 fatcat:ctkgrwy6hjd5znqxo6jofwhhsq

Personalization Approaches in Learning Environments [chapter]

Olga C. Santos, Milos Kravcik, Diana Pérez-Marín
2012 Lecture Notes in Computer Science  
In this paper, we outline a relatively simple method to adapt the hints given by an Intelligent Tutoring System to the line of reasoning that the student is currently following.  ...  Our results show that the combined IRT and Knowledge Tracing models offer the best of assessment and learning sciences -high prediction accuracy like the IRT model, and the ability to model student learning  ...  Moreover, we also would like to thank the following members of the Program Committee for their reviews: Miguel Acknowledgement The authors would like to thank in advance the collaboration of Tecnalia  ... 
doi:10.1007/978-3-642-28509-7_12 fatcat:ontfybfwofb4tgi6gqhuk3eiy4

A Multimedia Adaptive Tutoring System for Mathematics that Addresses Cognition, Metacognition and Affect

Ivon Arroyo, Beverly Park Woolf, Winslow Burelson, Kasia Muldner, Dovan Rai, Minghui Tai
2014 International Journal of Artificial Intelligence in Education  
Collectively, these studies elucidate a suite of effective strategies to support advanced personalized learning via an intelligent adaptive tutor that can be tailored to the individual needs, emotions,  ...  This article describes research results based on multiple years of experimentation and real-world experience with an adaptive tutoring system named Wayang Outpost.  ...  , and Learning and by the Office of Naval Research, # N0001413C0127 STEM Grand Challenges: Building an Effective and Efficient OPEN Tutor Platform.  ... 
doi:10.1007/s40593-014-0023-y fatcat:gsftv5iflrehpk32rj65cz7w4m

Ontology-Driven Adaptive and Pervasive Learning Environments – APLEs: An Interdisciplinary Approach [chapter]

Ahmet Soylu, Mieke Vandewaetere, Kelly Wauters, Igor Jacques, Patrick De Causmaecker, Piet Desmet, Geraldine Clarebout, Wim Van den Noortgate
2011 Communications in Computer and Information Science  
This paper reports an interdisciplinary research project on adaptive and pervasive learning environments.  ...  Finally, we introduce a prototype domain context ontology for item-based learning environments and demonstrate its run-time and development-time uses.  ...  This paper is based on research funded by the Industrial Research Fund (IOF) and conducted within the IOF Knowledge platform "Harnessing collective intelligence in order to make e-learning environments  ... 
doi:10.1007/978-3-642-20074-8_9 fatcat:mvy5l6iiorfftnp57isn37hucy

Investigating Relations between Self-Regulated Reading Behaviors and Science Question Difficulty

Effat Farhana, Teomara Rutherford, Collin F. Lynch
2020 Educational Data Mining  
In order to provide effective support for this activity it is necessary for us to understand how students adapt their self-regulation behaviors within disciplinary reading environments.  ...  Reading to learn is a quintessentially self-regulated activity.  ...  In order to effectively support students in reading to learn, it is necessary to understand how students adapt their reading and learning strategies when faced with problems at different perceived levels  ... 
dblp:conf/edm/FarhanaRL20 fatcat:25monvnj7basxpukkiqibakwbi

Role of Working Memory and Strategy-Use in Feedback Effects on children's Progression in Analogy Solving:an Explanatory Item Response Theory Account

Claire E. Stevenson
2016 International Journal of Artificial Intelligence in Education  
Feedback that includes additional hints or explanations leads to the greatest learning gains in adults.  ...  Higher working memory scores were linked to greater benefit from tutoring feedback or no feedback, whereas learning gains in the multiple try condition were not related to working memory.  ...  any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s40593-016-0129-5 fatcat:2wfbd7vi3bdnvgwtlrhjkkfy5a

Next Generation Handheld Graphics Edutainment for Learning in Adaptive Student Centric Environments: Constraints and Benefits [article]

Irene Cheng, Olenka Bilash, Walter F. Bischof, Anup Basu
2012 Eurographics State of the Art Reports  
adoption of the technology in adaptive edutainment.  ...  designers and teachers to deliver high quality learning environment to users.  ...  Acknowledgements The authors thank SSHRC, iCORE, Alberta Innovates Technology Futures (AITF), and NSERC for their research fund-ing to support this project, as well as Jonathan Clark, Alexey Badalov, Victor  ... 
doi:10.2312/conf/eg2012/education/041-048 fatcat:er7ap3n3dreabktwuwq7nihd64

Automated, adaptive guidance for K-12 education

Libby Gerard, Camillia Matuk, Kevin McElhaney, Marcia C. Linn
2015 Educational Research Review  
specific adaptive guidance design features in computer-based instruction.  ...  We find automated adaptive guidance to be significantly more effective than guidance provided in typical instruction, particularly for students with low prior knowledge.  ...  Using Item Response Theory (IRT) to select hints in an ITS. Frontiers in Artificial Intelligence and Applications, 158, 213. Razzaq, L. & Heffernan, N. (2009).  ... 
doi:10.1016/j.edurev.2015.04.001 fatcat:dmeirkidcvfq3ks34durdw6i4y

Roles for software technologies in advancing research and theory in educational psychology

Allyson F. Hadwin, Philip H. Winne, John C. Nesbit
2005 British Journal of Educational Psychology  
However, research about computer-based, and adaptive computer-based tests, suggests that the psychometric properties of conventional and software-based instruments need to be re-examined.  ...  learning strategies, cognitive style/learning style, special needs, self-regulation, metacognition, intelligence, cooperat*/group processess, problem solving, reading and writing. 1 Second, we searched  ...  Thanks also to Shelley Ross for carefully editing the final draft.  ... 
doi:10.1348/000709904x19263 pmid:15831178 fatcat:qn65itycu5e5bijeaea7yvtk4a

Big data in education and the models that love them

Zachary A Pardos
2017 Current Opinion in Behavioral Sciences  
Acknowledgement This work was supported in part by a grant from the National Science Foundation (Award #1547055).  ...  In IRT, item responses are input and used directly to estimate ability.  ...  the program.  ... 
doi:10.1016/j.cobeha.2017.11.006 fatcat:orrgdeufmrcqdiajl5uogikzcy

A possible future for next generation adaptive learning systems

Alfred Essa
2016 Smart Learning Environments  
We sketch a possible future for designing next generation adaptive learning systems based on new developments in learning science and data science.  ...  Recent advances in big data, learning analytics, and scalable architectures present new opportunities to redesign adaptive learning systems. This paper is part directional and part speculative.  ...  An important extension to the base learner model for adaptive systems, therefore, is to provide adaptive scaffolding for improving learning strategies, including enhancing knowledge acquisition and recall  ... 
doi:10.1186/s40561-016-0038-y fatcat:i22nxenhibhllelg22qxigkl34

What Time is It? Student Modeling Needs to Know

Ye Mao, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi
2020 Educational Data Mining  
Given that time elapsed between successive elements in a student's trajectory can vary from seconds to days, we applied a Timeaware LSTM (T-LSTM) to model the dynamics of student knowledge state in continuous  ...  The high volume of features and tools provided by computer-based learning environments confounds the task of tracking student knowledge even further.  ...  by Intelligent Tutors (2013502), Integrated Data-driven Technologies for Individualized Instruction in STEM Learning Environments(1726550), and CAREER: Improving Adaptive Decision Making in Interactive  ... 
dblp:conf/edm/MaoMPBC20 fatcat:qxr5upkxm5ae7kv7hvjqtapu5m
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