Mixed diagnostic tests structure for learning and testing systems | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2019. № 49. DOI: 10.17223/19988605/49/12

Mixed diagnostic tests structure for learning and testing systems

A new method of increasing the efficiency of students' educational activity is proposed. The method is based on the creation of learning trajectories, formed in the process of applying the mixed diagnostic tests. The learning trajectories are constructed by using specific mixed diagnostic tests, which are an integration of known unconditional and conditional tests. The mixed tests are used as in blended education and training, and in massive open online courses. The mixed testing provides the monitoring of the students' knowledge, professional and personal skills and abilities, as well as constructing learning trajectories for each student. The paper presents the innovative interdisciplinary technique for construction of the mixed diagnostic tests.

Download file

Counter downloads: 193

Keywords

blended education and training, massive open online courses, learning trajectory, tree of mixed diagnostic tests, interdisciplinary testing, смешанное образование и обучение, массовые открытые онлайн курсы, траектория обучения, дерево смешанных диагностических тестов, междисциплинарное тестирование

Authors

Name	Organization	E-mail
Yankovskaya Anna E.	Tomsk State University	ayyankov@gmail.com
Levin Ilya S.	Tel Aviv University	ilia1@tauex.tau.ac.il
Fuks Irina L.	Tomsk State University	fooxil@sibmail.com

Всего: 3

References

Gikandi, J.W., Morrow, D. & Davis, N.E. (2011) Online formative assessment in higher education: review of the literature. Computers & Education. 57(4) pp. 2333-2351. DOI: 10.1016/j.compedu.2011.06.004

Farrell, T. & Rushby, N. (2015) Assessment and learning technologies: An overview. British Journal of Educational Technology. 47(1). pp. 160-120. DOI:10.1111/bjet.12348

Bennett, R.E. (2011) Formative assessment: A critical review. Assessment in Education: Principles, Policy & Practice. 18(1). pp. 5-25. DOI: 10.1080/0969594X.2010.513678

Yankovskaya, A.E. (2018) Intelligent learning-testing and predictive systems with a cognitive component, based on Mixed Diagnostic Tests. Russian Foundation for Basic Research Journal. 4(100). pp. 26-32. DOI: 10.22204/2410-4639-2018-100-0426-32.

Yankovskaya, A.E. & Semenov, M.E. (2013) Application mixed diagnostic tests in blended education and training. Proc. of the IASTED International Conference Web-based Education (WBE 2013), Innsbruck, Austria. pp. 935-939.

Shute, V.J. & Rahimi, S. (2017) Review of computer-based assessment for learning in elementary and secondary education. Journal of Computer Assisted Learning. 33(1). pp. 1-9. DOI: 10.1111/jcal.12172

Yankovskaya, A. (1996) Design of optimal mixed diagnostic test with reference to the problems of evolutionary computation. Proc. First Int. Conf. on Evolutionary Computation and Its Applications, Moscow, EVCA'96. pp. 292-297.

Uskov, V. & Uskov, A. (2010) Computers and advanced technology in education - perspectives for 2010-2015. Proc. of the 13th IASTED Int. Conf. on Computers and Advanced Technology in Education (CATE 2010), Maui, Hawaii, USA.

Ausburn, L.J. (2004) Course design elements most valued by adult learners in blended online education environments: an American perspective. Educational Media International. 41(4). pp. 327-337. DOI: 10.1080/0952398042000314820

Brusilovsky, P., Knapp, J. & Gamper, J. (2006) Supporting teachers as content authors in intelligent educational systems. Interna tional Journal of Knowledge and Learning. 2(3/4). pp. 191-215. DOI: 10.1504/IJKL.2006.010992

Singera, F.M. & Stoicescu, D. (2011) Using blended learning as a tool to strengthen teaching competences. Procedia Computer Science. 3. pp. 1527-1531. DOI: 10.1016/j.procs.2011.01.043

Kostyuk, Y.L., Levin, I.S., Fuks, A.L., Fuks, I.L., & Yankovskaya, A.E. (2014) Massive open online courses - the modern concept in education and learning. Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie vychislitelnaja tehnika i informatika -Tomsk State University Journal of Control and Computer Science. 1(26). pp. 89-98.

Graham, C.R. (2006) Blended learning systems: definition, current trends, and future directions. In: Bonk, C.J. & Graham, C.R. (eds) The handbook of blended learning: Global perspectives, local designs. San Francisco, CA: Pfeiffer Publishing. pp. 3-21.

Liyanagunawardena, T.R., Adams, A.A. & Williams, S.A. (2013) MOOCs: A systematic study of the published literature 2008 2012. The Int. Review of Research in Open and Distance Learning. 14(3). pp. 202-227. DOI: 10.19173/irrodl.v14i3.1455

Bliuc, A.M., Goodyear, P. & Ellis, R.A. (2007) Research focus and methodological choices in studies into students' experiences of blended learning in higher education. Internet and Higher Education. 10. pp. 231-244. DOI: 10.1016/j.iheduc.2007.08.001