메뉴 건너뛰기




Volumn 22, Issue 3, 2017, Pages 369-376

nStudy: A System for Researching Information Problem Solving

Author keywords

Big data; Information problem solving; Online learning; Trace data

Indexed keywords

EDUCATION; PROBLEM SOLVING; STUDENTS;

EID: 85025449160     PISSN: 22111662     EISSN: 22111670     Source Type: Journal    
DOI: 10.1007/s10758-017-9327-y     Document Type: Article
Times cited : (24)

References (12)
  • 2
    • 85029660546 scopus 로고    scopus 로고
    • Fritz, C. O., Morris, P. E., Crowther, V.-L. & Benn, N. (). The influence of early questions on learning from text. , Long Beach, California
    • Fritz, C. O., Morris, P. E., Crowther, V.-L. & Benn, N. (2014). The influence of early questions on learning from text. In 55th Annual Meeting of the Psychonomic Society, Long Beach, California.
    • (2014) In 55th Annual Meeting of the Psychonomic Society
  • 3
    • 84925386655 scopus 로고    scopus 로고
    • Intelligent tutoring systems and learning outcomes: A meta-analysis
    • Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology, 106(4), 901–918.
    • (2014) Journal of Educational Psychology , vol.106 , Issue.4 , pp. 901-918
    • Ma, W.1    Adesope, O.O.2    Nesbit, J.C.3    Liu, Q.4
  • 5
    • 84925690207 scopus 로고    scopus 로고
    • Odilinye, L., Popowich, F., Zhang, E., Nesbit, J.C., & Winne, P. H. (). Aligning automatically generated questions to instructor goals and learner behaviour. (pp. 216–223). ICSC 2015: Anaheim, C
    • Odilinye, L., Popowich, F., Zhang, E., Nesbit, J.C., & Winne, P. H. (2015). Aligning automatically generated questions to instructor goals and learner behaviour. In Proceedings of the 2015 IEEE International Conference on Semantic Computing (pp. 216–223). ICSC 2015: Anaheim, CA
    • (2015) In Proceedings of the 2015 IEEE International Conference on Semantic Computing
  • 6
    • 85016473709 scopus 로고    scopus 로고
    • Understanding, evaluating, and supporting self-regulated learning using learning analytics
    • Roll, I., & Winne, P. H. (2015). Understanding, evaluating, and supporting self-regulated learning using learning analytics. Journal of Learning Analytics, 2(1), 7–12.
    • (2015) Journal of Learning Analytics , vol.2 , Issue.1 , pp. 7-12
    • Roll, I.1    Winne, P.H.2
  • 7
    • 33645504074 scopus 로고    scopus 로고
    • How software technologies can improve research on learning and bolster school reform
    • Winne, P. H. (2006). How software technologies can improve research on learning and bolster school reform. Educational Psychologist, 41, 5–17.
    • (2006) Educational Psychologist , vol.41 , pp. 5-17
    • Winne, P.H.1
  • 8
    • 85029610366 scopus 로고    scopus 로고
    • Self-regulated learning engines: Software technologies for researching and promoting self-regulated learning
    • Luckin R, Puntambekar S, Goodyear P, Grabowski B, Underwood J, Winters N, (eds), Routledge, New Yor
    • Winne, P. H. (2013). Self-regulated learning engines: Software technologies for researching and promoting self-regulated learning. In R. Luckin, S. Puntambekar, P. Goodyear, B. Grabowski, J. Underwood, & N. Winters (Eds.), Handbook of design in educational technology (pp. 482–491). New York: Routledge.
    • (2013) Handbook of design in educational technology , pp. 482-491
    • Winne, P.H.1
  • 9
    • 85029667269 scopus 로고    scopus 로고
    • Learning analytics for self-regulated learning
    • Lang C, Siemens G, Wise A, Gaševć D, (eds), Society for Learning Analytics Research, Beaumon
    • Winne, P. H. (2017a). Learning analytics for self-regulated learning. In C. Lang, G. Siemens, A. Wise, & D. Gaševć (Eds.), Handbook of learning analytics (pp. 241–249). Beaumont: Society for Learning Analytics Research.
    • (2017) Handbook of learning analytics , pp. 241-249
    • Winne, P.H.1
  • 10
    • 85016648383 scopus 로고    scopus 로고
    • Leveraging big data to help each learner upgrade learning and accelerate learning science
    • Winne, P. H. (2017b). Leveraging big data to help each learner upgrade learning and accelerate learning science. Teachers College Record, 119(3), 1–24.
    • (2017) Teachers College Record , vol.119 , Issue.3 , pp. 1-24
    • Winne, P.H.1
  • 11
    • 85029606910 scopus 로고    scopus 로고
    • Winne, P. H. (in press). Enhancing self-regulated learning for information problem solving with ambient big data gathered by nStudy. In O. O. Adesope, A. G. Rud (Eds.), . New York: Palgrave Macmillan
    • Winne, P. H. (in press). Enhancing self-regulated learning for information problem solving with ambient big data gathered by nStudy. In O. O. Adesope, A. G. Rud (Eds.), Contemporary technologies in education: Maximizing student engagement, motivation, and learning. New York: Palgrave Macmillan.
    • Contemporary technologies in education: Maximizing student engagement, motivation, and learning


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.