Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis.

@inproceedings{Ma2014IntelligentTS,
  title={Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis.},
  author={Wenting Ma and Olusola O. Adesope and John C. Nesbit and Qing Liu},
  year={2014}
}
Intelligent Tutoring Systems (ITS) are computer programs that model learners’ psychological states to provide individualized instruction. They have been developed for diverse subject areas (e.g., algebra, medicine, law, reading) to help learners acquire domain-specific, cognitive and metacognitive knowledge. A meta-analysis was conducted on research that compared the outcomes from students learning from ITS to those learning from non-ITS learning environments. The meta-analysis examined how… CONTINUE READING

Similar Papers

Figures and Tables from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 86 CITATIONS

Intelligent Tutoring Systems and Learning Outcomes: Two Systematic Reviews

VIEW 9 EXCERPTS
CITES BACKGROUND, METHODS & RESULTS
HIGHLY INFLUENCED

Artificial Intelligence in Education

  • Lecture Notes in Computer Science
  • 2007
VIEW 11 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

ElectronixTutor: an intelligent tutoring system with multiple learning resources for electronics

  • International journal of STEM education
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2007
2019

CITATION STATISTICS

  • 8 Highly Influenced Citations

  • Averaged 17 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 136 REFERENCES