Online Tutoring to Support Programming Exercises

2020 ◽  
Author(s):  
Bryn Jeffries ◽  
Timothy Baldwin ◽  
Marion Zalk ◽  
Ben Taylor
Keyword(s):  
Online Tutoring ◽  
Support Programming

Online tutoring

2011 ◽  
Vol 49 (5) ◽  
pp. 260-260
Author(s):  
Kenneth W. Ford
Keyword(s):  
Online Tutoring

Student Perceptions of Online Tutoring Videos

2017 ◽  
Vol 29 (4) ◽  
pp. 4-19
Author(s):  
Steven R. Sligar ◽  
Christopher D. Pelletier ◽  
Heidi Stone Bonner ◽  
Elizabeth Coghill ◽  
Daniel Guberman ◽  
...  
Keyword(s):  
Student Perceptions ◽  
Online Tutoring

Collaboration Improves Student Interest in Online Tutoring

2017 ◽  
pp. 28-39 ◽  
Author(s):  
Ivon Arroyo ◽  
Naomi Wixon ◽  
Danielle Allessio ◽  
Beverly Woolf ◽  
Kasia Muldner ◽  
...  
Keyword(s):  
Student Interest ◽  
Online Tutoring

scholarly journals Tutoria online: desafios da docência em tempos e espaços digitais / Online tutoring: challenges of the teaching in digital times and spaces

2020 ◽  
Vol 9 (1) ◽  
pp. 107-120
Author(s):  
Aléxia Pádua Franco ◽  
Renata de Oliveira Souza Carmo
Keyword(s):  
Online Tutoring

Este artigo aborda a tutoria online no ensino superior na modalidade a distância como prática docente mediada pelas tecnologias digitais de informação e comunicação (TDIC). Apoia-se na pesquisa documental para apresentar uma síntese de marcos legais da educação a distância (EAD) no Brasil a fim de refletir sobre o papel do tutor em cursos de graduação nessa modalidade. Além disso, revisa referenciais teóricos sobre o tutor online por sua importância na mediação do processo de ensino e aprendizagem na sala de aula eletrônica. Conclui que, no campo das políticas de educação a distância, é necessário o debate sobre a tutoria online para compreensão e reconhecimento do trabalho docente desempenhado pelo tutor atuante no ensino superior não presencial.

scholarly journals Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13895-13896 ◽  
Author(s):  
Shimeng Peng ◽  
Lujie Chen ◽  
Chufan Gao ◽  
Richard Jiarui Tong
Keyword(s):  
Mean Squared Error ◽  
Video Recording ◽  
Vital Role ◽  
Dynamic Features ◽  
Learning Context ◽  
Tutoring System ◽  
Consensus Definition ◽  
Online Tutoring ◽  
Mouth Movement ◽  
Synchronized Measurements

Engaged learners are effective learners. Even though it is widely recognized that engagement plays a vital role in learning effectiveness, engagement remains to be an elusive psychological construct that is yet to find a consensus definition and reliable measurement. In this study, we attempted to discover the plausible operational definitions of engagement within an online learning context. We achieved this goal by first deriving a set of interpretable features on dynamics of eyes, head and mouth movement from facial landmarks extractions of video recording when students interacting with an online tutoring system. We then assessed their predicative value for engagement which was approximated by synchronized measurements from commercial EEG brainwave headset worn by students. Our preliminary results show that those features reduce root mean-squared error by 29% compared with default predictor and we found that the random forest model performs better than a linear regressor.

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