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Can Learning Analytics Find Success in Didactical Measurements? : Results from a MOOC Case Study. / Khalil, Mohammad; Ebner, Martin.

Digital Workplace Learning: Bridging Formal and Informal Learning with Digital Technologies. ed. / Dirk Ifenthaler. Cham : Springer International Publishing AG, 2018. p. 211-225.

Research output: ScientificChapter

Harvard

Khalil, M & Ebner, M 2018, Can Learning Analytics Find Success in Didactical Measurements?: Results from a MOOC Case Study. in D Ifenthaler (ed.), Digital Workplace Learning: Bridging Formal and Informal Learning with Digital Technologies. Springer International Publishing AG, Cham, pp. 211-225. DOI: 10.1007/978-3-319-46215-8_12

APA

Khalil, M., & Ebner, M. (2018). Can Learning Analytics Find Success in Didactical Measurements? Results from a MOOC Case Study. In D. Ifenthaler (Ed.), Digital Workplace Learning: Bridging Formal and Informal Learning with Digital Technologies (pp. 211-225). Cham: Springer International Publishing AG. DOI: 10.1007/978-3-319-46215-8_12

Vancouver

Khalil M, Ebner M. Can Learning Analytics Find Success in Didactical Measurements?: Results from a MOOC Case Study. In Ifenthaler D, editor, Digital Workplace Learning: Bridging Formal and Informal Learning with Digital Technologies. Cham: Springer International Publishing AG. 2018. p. 211-225. Available from, DOI: 10.1007/978-3-319-46215-8_12

Author

Khalil, Mohammad ; Ebner, Martin. / Can Learning Analytics Find Success in Didactical Measurements? : Results from a MOOC Case Study. Digital Workplace Learning: Bridging Formal and Informal Learning with Digital Technologies. editor / Dirk Ifenthaler. Cham : Springer International Publishing AG, 2018. pp. 211-225

BibTeX

@inbook{fef69ac1883842d08d3538d97416ccca,
title = "Can Learning Analytics Find Success in Didactical Measurements?: Results from a MOOC Case Study",
abstract = "In recent years, massive open online courses (MOOCs) led the road into a new era of learning environment systems. Since 2008, e-Learning witnessed a new type of course which is massive in student numbers, open for anyone, and available for all without limitations. MOOCs integrate social networking, accessible online resources, and open-ended outcomes and are publicly shared. In addition, MOOCs offer several online variables that allow researchers from analytical disciplines (learning analytics) to translate these variable data values into research actions and interpret patterns. In this chapter, we present a detailed analysis of a MOOC case study offered in the previous 2 years, 2015 and 2016. The Graz University of Technology, the University of Graz, and partners from the Medical University of Graz collaborated on a project producing a MOOC called “Dr. Internet.” This MOOC aims to investigate whether the Internet helps or hurts in the endeavor to increase health literacy of the public and how it affects the practitioner-patient relationship. Nevertheless, the research study in this chapter is looking onto a different point of view. We will follow a quantitative investigation and apply learning analytics techniques on learners’ behavior as well as scrutinize traces they left behind in videos, discussion forums, and quizzes. In addition, we try to further inspect the dropout rate and level of engagement. It can be outlined that the early analysis results show that those MOOCs behaved similar to other studies but they differ in the higher number of reads in the discussion forum. Reasonable didactical interventions assisted to change learners’ attitudes toward online learning. This chapter will also describe the didactical approach of the Dr. Internet MOOCs.",
author = "Mohammad Khalil and Martin Ebner",
year = "2018",
doi = "10.1007/978-3-319-46215-8_12",
isbn = "978-3-319-46214-1",
pages = "211--225",
editor = "Dirk Ifenthaler",
booktitle = "Digital Workplace Learning",
publisher = "Springer International Publishing AG",
address = "Switzerland",

}

RIS

TY - CHAP

T1 - Can Learning Analytics Find Success in Didactical Measurements?

T2 - Results from a MOOC Case Study

AU - Khalil,Mohammad

AU - Ebner,Martin

PY - 2018

Y1 - 2018

N2 - In recent years, massive open online courses (MOOCs) led the road into a new era of learning environment systems. Since 2008, e-Learning witnessed a new type of course which is massive in student numbers, open for anyone, and available for all without limitations. MOOCs integrate social networking, accessible online resources, and open-ended outcomes and are publicly shared. In addition, MOOCs offer several online variables that allow researchers from analytical disciplines (learning analytics) to translate these variable data values into research actions and interpret patterns. In this chapter, we present a detailed analysis of a MOOC case study offered in the previous 2 years, 2015 and 2016. The Graz University of Technology, the University of Graz, and partners from the Medical University of Graz collaborated on a project producing a MOOC called “Dr. Internet.” This MOOC aims to investigate whether the Internet helps or hurts in the endeavor to increase health literacy of the public and how it affects the practitioner-patient relationship. Nevertheless, the research study in this chapter is looking onto a different point of view. We will follow a quantitative investigation and apply learning analytics techniques on learners’ behavior as well as scrutinize traces they left behind in videos, discussion forums, and quizzes. In addition, we try to further inspect the dropout rate and level of engagement. It can be outlined that the early analysis results show that those MOOCs behaved similar to other studies but they differ in the higher number of reads in the discussion forum. Reasonable didactical interventions assisted to change learners’ attitudes toward online learning. This chapter will also describe the didactical approach of the Dr. Internet MOOCs.

AB - In recent years, massive open online courses (MOOCs) led the road into a new era of learning environment systems. Since 2008, e-Learning witnessed a new type of course which is massive in student numbers, open for anyone, and available for all without limitations. MOOCs integrate social networking, accessible online resources, and open-ended outcomes and are publicly shared. In addition, MOOCs offer several online variables that allow researchers from analytical disciplines (learning analytics) to translate these variable data values into research actions and interpret patterns. In this chapter, we present a detailed analysis of a MOOC case study offered in the previous 2 years, 2015 and 2016. The Graz University of Technology, the University of Graz, and partners from the Medical University of Graz collaborated on a project producing a MOOC called “Dr. Internet.” This MOOC aims to investigate whether the Internet helps or hurts in the endeavor to increase health literacy of the public and how it affects the practitioner-patient relationship. Nevertheless, the research study in this chapter is looking onto a different point of view. We will follow a quantitative investigation and apply learning analytics techniques on learners’ behavior as well as scrutinize traces they left behind in videos, discussion forums, and quizzes. In addition, we try to further inspect the dropout rate and level of engagement. It can be outlined that the early analysis results show that those MOOCs behaved similar to other studies but they differ in the higher number of reads in the discussion forum. Reasonable didactical interventions assisted to change learners’ attitudes toward online learning. This chapter will also describe the didactical approach of the Dr. Internet MOOCs.

U2 - 10.1007/978-3-319-46215-8_12

DO - 10.1007/978-3-319-46215-8_12

M3 - Chapter

SN - 978-3-319-46214-1

SP - 211

EP - 225

BT - Digital Workplace Learning

PB - Springer International Publishing AG

ER -

ID: 33975864