scholarly journals Examining personalized feedback interventions for gambling disorders: A systematic review

2016 ◽  
Vol 5 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Loredana Marchica ◽  
Jeffrey L. Derevensky
2019 ◽  
Vol 35 (2) ◽  
pp. 447-464 ◽  
Author(s):  
Samuel C. Peter ◽  
Emma I. Brett ◽  
Matthew T. Suda ◽  
Eleanor L. S. Leavens ◽  
Mary Beth Miller ◽  
...  

2018 ◽  
Vol 35 (2) ◽  
pp. 395-414 ◽  
Author(s):  
A. Adolphe ◽  
L. Khatib ◽  
C. van Golde ◽  
S. M. Gainsbury ◽  
A. Blaszczynski

2018 ◽  
Vol 26 (3) ◽  
pp. 163
Author(s):  
Rodrigo Elias Francisco ◽  
Ana Paula Laboissière Ambrósio ◽  
Cleon Xavier Pereira Junior ◽  
Márcia Aparecida Fernandes

Online judges, initially used in programming marathons, have also been adopted to teach Introductory Programming (CS1), presenting some advantages, as reducing teacher workload and instant feedback to students, and disadvantages by of not being fully adapted as a tool for teaching. This paper presents a Systematic Review of Literature (SRL) about online judges for teaching CS1, which focused on aspects: benefits, problems; functional requirements and nonfunctional requirements. The result contributed to an online judge specification that meets the CS1 discipline. Also a practical experience was realized with the use of online judge BOCA (developed for programming marathons) in the teaching of CS1's classes. The lessons learned from practical experience and the knowledge gained at SRL contributed to a judge online proposal for teaching CS1, focusing primarily on three requirements considered essential: building exercise lists, personalized feedback, and plagiarism. Thus, this research contributes to the teaching of introductory programming by presenting an approach based on results found in the literature, through articles presenting different online judges for teaching, and practical experiences with real classes.


2016 ◽  
Vol 6 (4) ◽  
pp. 12 ◽  
Author(s):  
Marios Pappas ◽  
Athanasios Drigas

Intelligent Tutoring Systems incorporate Artificial Intelligence techniques, in order to imitate a human tutor. These expert systems are able to assess student’s proficiency, to provide solved examples and exercises for practice in each topic, as well as to provide immediate and personalized feedback to learners. The present study is a systematic review that evaluates the contribution of the Intelligent Tutoring Systems developed so far, to Mathematics Education, representing some of the most representative studies of the last decade.


2019 ◽  
Vol 10 ◽  
Author(s):  
Morgane Guillou Landreat ◽  
Jennyfer Cholet ◽  
Marie Grall Bronnec ◽  
Sophie Lalande ◽  
Jean Yves Le Reste

2016 ◽  
Vol 24 (2) ◽  
pp. 177-183
Author(s):  
Melvyn W.B. Zhang ◽  
Yang Yi ◽  
Christopher C.S. Cheok

2019 ◽  
Vol 30 ◽  
pp. 48-53 ◽  
Author(s):  
Jessica M Powers ◽  
Michael J Zvolensky ◽  
Joseph W Ditre

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