Deep Learning and its Effects on Achievement

Chotitham, Sareeya; Wongwanich, Suwimon; Wiratchai, Nonglak

doi:10.1016/j.sbspro.2014.01.754

Cited by 16 publications

(15 citation statements)

References 4 publications

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“…In their research with Swedish university students, Marton and Säljö (1976) concluded that in the learning process, students can adopt two different approaches: surface and deep learning (Chotitham, Wongwanich, & Wiratchai, 2014;Drew & Watkins, 1998;Duff et al, 2004).…”

Section: Study Approaches To Learningmentioning

confidence: 99%

“…The surface learning approach, based on extrinsic motivation, refers to memorisation, superficial learning, and study for exams to avoid failure, while the deep learning approach, based on intrinsic motivation, refers to meaningful learning that attempts to connect new material to already-learned material (Cano & Berbén, 2009;Chotitham et al, 2014;Drew & Watkins, 1998;Duff, 2003;Thomas & Gadbois, 2007).…”

Section: Study Approaches To Learningmentioning

confidence: 99%

“…Others found a positive relationship between deep learning and academic achievement, but no relationship between surface learning and academic achievement (Chotitham et al, 2014;Davidson, 2002). Still others reported a negative relationship between surface learning and academic achievement, but no relationship between deep learning and academic achievement (Dan & Todd, 2014;Thomas & Gadbois, 2007).…”

Section: Study Approaches To Learningmentioning

confidence: 99%

See 2 more Smart Citations

Are Prospective Elementary School Teachers’ Social Studies Teaching Efficacy Beliefs Related to Their Learning Approaches in a Social Studies Teaching Methods Course?

Dündar

2015

AJTE

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Section: Study Approaches To Learningmentioning

confidence: 99%

Section: Study Approaches To Learningmentioning

confidence: 99%

Section: Study Approaches To Learningmentioning

confidence: 99%

See 1 more Smart Citation

Are Prospective Elementary School Teachers’ Social Studies Teaching Efficacy Beliefs Related to Their Learning Approaches in a Social Studies Teaching Methods Course?

Dündar

2015

AJTE

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“…(LeCun et al, 2015;Warburton, 2003;Luna Scott, 2015;Gul et al, 2017;Chotitham et al, 2014;Nouby & Alkhazali, 2017;Rodriguez, 2009;VanderArk & Schneider, 2012) …”

Section: Conclusion and Discussionunclassified

“…The authors of (Gul et al, 2017) presented a review work wherein they discussed about the challenges and future directions of IoT in the field of education. The researchers in (Chotitham et al, 2014) discussed the effect of deep learning on the achievements of the students of "Chulalongkorn University". Golino et al (Golino et al, 2014) discussed about combining the psychometric and machine learning techniques and its implications to predict the academic achievements of the students.…”

Section: Related Work In Briefmentioning

confidence: 99%

Learning analytics for IoE based educational model using deep learning techniques: architecture, challenges and applications

Ahad¹,

Tripathi²,

Agarwal³

2018

Smart Learn. Environ.

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The new generation teaching-learning pedagogy has created a complete paradigm shift wherein the teaching is no longer confined to giving the content knowledge, rather it fosters the "how, when and why" of applying this knowledge in real world scenarios. By exploiting the advantages of deep learning technology, this pedagogy can be further fine-tuned to develop a repertoire of teaching strategies. This paper presents a secured and agile architecture of an Internet of Everything (IoE) based Educational Model and a Learning Analytics System (LAS) model using the concept of deep learning which can be used to gauge the degree of learning, retention and achievements of the learners and suggests improvements and corrective measures. The paper also puts forward the advantages, applications and challenges of using deep learning techniques for gaining insights from the data generated from the IoE devices within the educational domain for creating such learning analytics systems. Finally a feature wise comparison is provided between the proposed Learning Analytics (LA) based approach and conventional teaching-learning approach in terms of performance parameters like cognition, attention, retention and attainment of learners.

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Fall Detection System Based on Deep Learning and Image Processing in Cloud Environment

Shen

Zhang

Cao

et al. 2018

Advances in Intelligent Systems and Computing

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Deep Learning and its Effects on Achievement

Cited by 16 publications

References 4 publications

Are Prospective Elementary School Teachers’ Social Studies Teaching Efficacy Beliefs Related to Their Learning Approaches in a Social Studies Teaching Methods Course?

Are Prospective Elementary School Teachers’ Social Studies Teaching Efficacy Beliefs Related to Their Learning Approaches in a Social Studies Teaching Methods Course?

Learning analytics for IoE based educational model using deep learning techniques: architecture, challenges and applications

Fall Detection System Based on Deep Learning and Image Processing in Cloud Environment

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