Using Learning Analytics and Student Perceptions to Explore Student Interactions in an Online Construction Management Course

Author:

West Paige1ORCID,Paige Frederick2,Lee Walter3,Watts Natasha4ORCID,Scales Glenda5

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061 (corresponding author). ORCID: .

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061.

3. Associate Professor, Dept. of Engineering Education, Virginia Tech, Blacksburg, VA 24061.

4. Associate Director of Engineering Online, College of Engineering, Virginia Tech, Blacksburg, VA 24061. ORCID: .

5. Director of Engineering Online, College of Engineering, Virginia Tech, Blacksburg, VA 24061.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Civil and Structural Engineering

Reference54 articles.

1. Analysis of distance learner value assessment of distance education in engineering;Agdas D.;J. Civ. Eng. Educ.,2014

2. Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning;Agudo-Peregrina Á. F.;Comput. Hum. Behav.,2014

3. Appiah-Kubi P. and J. Nichwitz. 2020. “Students’ perception of collaborative online international learning.” In Proc. 2020 ASEE Virtual Annual Conf. Content Access. Washington DC: American Society For Engineering Education. https://peer.asee.org/students-perception-of-collaborative-online-international-learning.

4. Arnold K. E. and M. D. Pistilli. 2012. “Course signals at Purdue: Using learning analytics to increase student success.” In Proc. 2nd Int. Conf. on Learning Analytics and Knowledge 267–270. New York: Association for Computing Machinery.

5. Learning analytics methods, benefits, and challenges in higher education: A systematic literature review;Avella J. T.;Online Learn.,2016

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