User:Arnold Corneal/sandbox

Topic: Learning analytics in online assessments

Group 1 (Members) Angela Miller Micaela Ramberger Tara Apgar Arnold Corneal Summer Soltis

Summary of literature review The literature review will indentify the impact of the next- generation assessment strategies, and their reliability and validity, to effectively measure cognitive skills, social-emotional development, and deeper learning. The objective is to determine whether these assessments will provide both students and instructors, with definitive data that would guide and influence online instructional design modules. The primary objective of the literature review would be to draw reasonable conclusions as to the benefits of learning analytics (LA), as a resource that can be used to gather direct evidence of student learner gains. Further, the review would be used to determine whether LA can be used to guide teacher actions, and inform curriculum development. It is also critical that a clear correlation be derived between learning design, online learning behaviors, and student academic achievement.

Literature Review Outline

1.	Introduction- a.	Introduces readers to the topic and purpose of the research, describe the overall topic that you have been investigating b.	Why it is important to the field and what makes it interesting, identify themes and trends in research questions, methodology and findings. Give an overal picture and perspective

11. Theme A a.	Overview of the characteristics of the theme: commonalities, differences, nuances b.	Sub-theme- narrow group findings related to the theme 1.	Study 1- (Research questions), Methods/Participants, Related findings) 2.	Study 2-(Research questions), Methods/Participants, Related findings) 3.	Study 3-(Research questions), Methods/Participants, Related findings) 4.	Study 4-(Research questions), Methods/Participants, Related findings)

111. Theme B a.	Overview of the characteristics of the theme: commonalities, differences, nuances c. Sub-theme- narrow group findings related to the theme

1.	Study 1- (Research questions), Methods/Participants, Related findings) 2. Study 2-(Research questions), Methods/Participants, Related findings) 3. Study 3-(Research questions), Methods/Participants, Related findings) 4.	Study 4-(Research questions), Methods/Participants, Related findings)

1V. Conclusion: An evaluation/Critiques of the existing literature. Write several paragraphs a.	What are the contribtions of this literature to the field? b.	What are the overall strengths? c.	What are the overall weaknesses? d.	What may have been overlooked? e.	What might be following research steps to be taken? f.	How can you apply this information in your workplace?

References Avella, J. T., Kebritchi, M., Nunn, S. G., & Kanai, T. (2016). Learning analytics methods, benefits, and challenges in higher education: A systematic literature review. Online Learning, 20(2), 13-29.

Cope, B., & Kalantzis, M. (2016). Big data comes to school: Implications for learning, assessment, and research. AERA Open, 2(2), 2332858416641907.

Kovanović, V., Gašević, D., Joksimović, S., Hatala, M., & Adesope, O. (2015). Analytics of communities of inquiry: Effects of learning technology use on cognitive presence in asynchronous online discussions. The Internet and Higher Education, 27, 74-89.

Piety, P. J., Hickey, D. T., & Bishop, M. J. (2014, March). Educational data sciences: Framing emergent practices for analytics of learning, organizations, and systems. In Proceedings of the Fourth International Conference on Learning Analytics and Knowledge (pp. 193-202). ACM.

Rienties, B., Boroowa, A., Cross, S., Kubiak, C., Mayles, K., & Murphy, S. (2016). Analytics4Action Evaluation Framework: A Review of Evidence-Based Learning Analytics Interventions at the Open University UK. Journal of Interactive Media in Education, 2016(1).

Rienties, Bart; Nguyen, Quan; Holmes, Wayne and Reedy, Katharine (2017). A review of ten years of implementation and research in aligning learning design with learning analytics at the Open University UK. Interaction Design and Architecture(s), 33 pp. 134–154.

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), 1-19.

Timmis, S., Broadfoot, P., Sutherland, R., & Oldfield, A. (2016). Rethinking assessment in a digital age: Opportunities, challenges and risks. British Educational Research Journal, 42(3), 454-476. DOI: 10.1002/berj.3215

Wang, F. H. (2017). An exploration of online behaviour engagement and achievement in flipped classroom supported by learning management system. Computers & Education, 114, 79-91.

Wise, A., Zhao, Y., & Hausknecht, S. (2014). Learning analytics for online discussions: Embedded and extracted approaches. Journal of Learning Analytics, 1(2), 48-71.