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Learning from Self-Sampled Correct and Partially-Correct Programs [article]

Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao
2022 arXiv   pre-print
We show that our use of self-sampled correct and partially-correct programs can benefit learning and help guide the sampling process, leading to more efficient exploration of the program space.  ...  To mitigate this issue, we propose to let the model perform sampling during training and learn from both self-sampled fully-correct programs, which yield the gold execution results, as well as partially-correct  ...  Conclusion We propose to let a program synthesis model sample additional program solutions for each specification and learn from the self-sampled programs that are correct or partially-correct.  ... 
arXiv:2205.14318v1 fatcat:2flccroi6zfcpam3fexku4gwzy

Medical Education Terminologies: Do These Really Percolate to the Level of Medical Students? A Survey

Arunita Jagzape
2017 Journal of Clinical and Diagnostic Research  
In Medical Education Technology, many terminologies are embodied in faculty training programs; used by teachers in daily practice like learning objectives, curriculum, and domains, formative and summative  ...  Sample size included 175, 161,150 and 162 participants of first, second, third Part I and third Part II MBBS respectively.  ...  For those who were aware, none of them were fully correct. Students just perceived self-directed learning as a mere "self study".  ... 
doi:10.7860/jcdr/2017/26582.10631 pmid:29207738 pmcid:PMC5713760 fatcat:xci5u26okjbihmtapqiqkurxge

A novel online education module to teach clinicians how to correctly identify ultrasonographic features of mediastinal lymph nodes during endobronchial ultrasound

Danielle A. Hylton, Yaron Shargall, Christian Finley, John Agzarian, Christine Fahim, Waël C. Hanna
2020 Canadian journal of surgery  
The results of this study provide the foundation needed to test the validity of the educational module in clinical settings and to further explore clinician preferences for educational programs.  ...  It enhances clinician skill and confidence in interpreting ultrasonographic features.  ...  learning effect when corrective feedback is given toward the end of an educational program. 12 Despite the literature discussing the merits of delayed corrective feedback, the inconsistencies in these  ... 
doi:10.1503/cjs.000119 pmid:32031766 pmcid:PMC7828937 fatcat:rxrkt6dd4ranjph3quuzqwk44i

Deep Reinforcement Learning for Programming Language Correction [article]

Rahul Gupta, Aditya Kanade, Shirish Shevade
2018 arXiv   pre-print
Novice programmers often struggle with the formal syntax of programming languages. To assist them, we design a novel programming language correction framework amenable to reinforcement learning.  ...  We demonstrate that the agent can be trained through self-exploration directly from the raw input, that is, program text itself, without any knowledge of the formal syntax of the programming language.  ...  Acknowledgments We thank Sonata Software Ltd. for partially funding this work.  ... 
arXiv:1801.10467v1 fatcat:erk3kj4gsvglfimmekjwqw3bba

The Impact of Teacher Feedback on Students' Academic Performance: A Mediating Role of Self-efficacy

Manzoor Ahmad
2021 Journal of Development and Social Sciences  
By utilizing the stratified sampling technique, data was gathered through a structured questionnaire from 336 sample cases of the Bachelor of Science (BS) and the Bachelor of Education, Honors (B.  ...  It is also believed that self-efficacy contributes as a mediator between a teacher's feedback and students' academic performance.  ...  A sample of 336 out of 842 Bachelor of Science (BS) and Bachelor of Education (B.Ed) undergraduate students were selected from different BS and B. Ed programs in the entire district.  ... 
doi:10.47205/jdss.2021(2-iii)39 fatcat:sphgpkrgq5athl25oyxem4rxke

Learning Feedback in Intelligent Tutoring Systems

Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2015 Künstliche Intelligenz  
Here, machine learning techniques have been used to autonomously infer structures from given learning data (e.g., student solutions) and, based on these structures, to develop strategies for instructing  ...  problems, based on implicit domain knowledge extracted from educational data sets.  ...  This work was supported by the German Research Foundation (DFG) under the grant "FIT -Learning Feedback in Intelligent Tutoring Systems." (PI 767/6 and HA 2719/6).  ... 
doi:10.1007/s13218-015-0367-y fatcat:t5iabslopzearcqv3dveje7qtm

Self Evaluation: Building Student Self-awareness and Competence

Denard Lynch
2018 Proceedings of the Canadian Engineering Education Association (CEEA)  
This paper discusses the results of two experiments in self assessment and discusses their value in evaluating student consciousness of their competence, and the opportunity to improve self-awareness and  ...  The data was gathered from two different engineering courses. The first experiment was conducted in a second-year course on basic electronics and electrical power.  ...  and knowledge and contribute to the body of knowledge in this area.  ... 
doi:10.24908/pceea.v0i0.10365 fatcat:druzapgjujclpezv5pmgbqdnau

Neuropsychological Functioning in Prisoners with and Without Self-Injurious Behaviors

Margaret S. Andover, Heather T. Schatten, Donna M. Crossman, Peter J. Donovick
2011 Criminal Justice and Behavior  
The sample consisted of 173 male prisoners referred for neuropsychological evaluation. Of participants, 56% reported a history of self-injury.  ...  Implications of the high prevalence of self-injury in this prison sample, as well as implications of impaired functioning on the treatment of selfinjurious behaviors, are discussed.  ...  This study's male, ethnically diverse sample broadens our understanding of the prevalence of self-injury in general and within correctional settings specifically.  ... 
doi:10.1177/0093854811420670 pmid:28503002 pmcid:PMC5426813 fatcat:2k4f5o2zffbr5hdm7xotcem4hy

Basic Correctional Education and Recidivism: Findings from PIAAC and NRS

Margaret Becker Patterson
2022 ADULT LITERACY EDUCATION: THE INTERNATIONAL JOURNAL OF LITERACY, LANGUAGE, AND NUMERACY  
The paper also examines adults' learning outcomes and available state recidivism rates from the National Reporting System.  ...  This paper presents new Programme for the International Assessment of Adult Competencies findings on characteristics and skills of U.S. incarcerated adults participating in basic correctional education  ...  Despite barriers facing incarcerated adults, NRS learning outcomes from basic correctional education in WIOA-funded programs indicated solid rates of learning gains and high rates of secondary credentials  ... 
doi:10.35847/mpatterson.4.2.18 fatcat:kujcxba6h5ea7g73l5stivknpy

Encouragement Is Not Enough: Perceptions and Attitudes towards Corrective Feedback and Their Relationship to Self-Efficacy

Vasti Holstun, Neil Rigsbee, Lynn Bohecker
2021 Teaching and Supervision in Counseling  
of positive and corrective feedback, attitudes towards corrective feedback, and counselor self-efficacy.  ...  Participants (N=145) were students from eight Council for Accreditation of Counseling and Related Educational Programs (CACREP) accredited online counseling programs who completed instruments on perceptions  ...  with data from the primary study's sample (Tabachnick & Fidell, 2013) .  ... 
doi:10.7290/tsc030302 fatcat:o2p5kta4nrczlltmnlajwy3xuu

Deep Reinforcement Learning for Syntactic Error Repair in Student Programs

Rahul Gupta, Aditya Kanade, Shirish Shevade
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Towards this, we design a novel programming language correction framework amenable to reinforcement learning. The framework allows an agent to mimic human actions for text navigation and editing.  ...  Our technique fixes 1699 (24.4%) programs completely and 1310 (18.8%) program partially, outperforming DeepFix, a state-of-the-art syntactic error repair technique, which uses a fully supervised neural  ...  Acknowledgments We thank Sonata Software Ltd. for partially funding this work. We also thank the anonymous reviewers for their helpful feedback.  ... 
doi:10.1609/aaai.v33i01.3301930 fatcat:mvxhe4qkyveu5nwqlau4wr6jjq

Expectancy-Value Theory in Persistence of Learning Effects in Schizophrenia: Role of Task Value and Perceived Competency

J. Choi, J. M. Fiszdon, A. Medalia
2010 Schizophrenia Bulletin  
Results indicated that as with nonpsychiatric samples, perceived self-competency for the learning task was significantly related to perceptions of task value attributed to the learning task.  ...  ability, attention, and self-reports of task interest and task value.  ...  ., and A.M. would like to thank Jennifer Scagliotti, MA, Kellie Smith, MA, Katie Tobin, PhD, and Gennarina Santorelli for their assistance in data entry and data collection.  ... 
doi:10.1093/schbul/sbq078 pmid:20634277 pmcid:PMC2930342 fatcat:bdytzoxpzvalpnriv2dt4tjvty

An Examination of Corrective, Reflective, and Rule-based Feedback in Chinese Classifier Acquisition in a CALL Environment

Yanhui Zhang
2020 Theory and Practice in Language Studies  
This study investigates how and to what extent different types of feedback from the CALL system may promote the grammatical knowledge learning for L2 learners of Chinese.  ...  Three kinds of feedback, namely corrective feedback, reflective feedback, and rule-based feedback, were designed and the relative effectiveness of each on the learning of the planned grammatical knowledge  ...  The CALL platforms have rapidly developed from basic drill and practice programs to today's more dynamic and interactive teaching and learning interfaces accessible from anywhere with internet or wireless  ... 
doi:10.17507/tpls.1012.07 fatcat:rwqvll6lbbc5bp2woknga53wfa

Partial Label Learning with Batch Label Correction

Yan Yan, Yuhong Guo
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
In this paper, we propose a simple but effective batch-based partial label learning algorithm named PL-BLC, which tackles the partial label learning problem with batch-wise label correction (BLC).  ...  Extensive experiments are conducted on synthesized and real-world partial label learning datasets, while the proposed approach demonstrates the state-of-the-art performance for partial label learning.  ...  This research was supported in part by the China Scholarship Council (201806290114), the NSERC discovery grant, and the Canada Research Chairs program.  ... 
doi:10.1609/aaai.v34i04.6132 fatcat:vww7hz7xvzeuvapbbmptqnzn4u

The Affective Experience of Novice Computer Programmers

Nigel Bosch, Sidney D'Mello
2015 International Journal of Artificial Intelligence in Education  
Novice students (N = 99) participated in a lab study in which they learned the fundamentals of computer programming in Python using a self-paced computerized learning environment involving a 25-min scaffolded  ...  An analysis of affect-learning relationships after partialling out control variables (e.g., scholastic aptitude, hint usage) indicated that boredom (r = -.149) and frustration (r = -.218) were negative  ...  Any opinions, findings and conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of NSF.  ... 
doi:10.1007/s40593-015-0069-5 fatcat:b4unbgwohfbzfbokwluzudgwoq
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