A bibliometric perspective of learning analytics research landscape

Behaviour and Information Technology

Volumn 37, Issue 10-11, 2018, Pages 941-957

  Waheed, Hajra ^a   Hassan, Saeed Ul ^a   Aljohani, Naif Radi ^b   Wasif, Muhammad ^a  

^a INFORMATION TECHNOLOGY UNIVERSITY   (Pakistan)

^b KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

academic analytics; bibliometrics; decision making; educational analytics; Learning analytics

Indexed keywords

DATA MINING; DECISION MAKING; TEACHING;

ACADEMIC ANALYTICS; BIBLIOMETRIC INDICES; BIBLIOMETRICS; DATA DRIVEN DECISION; EDUCATIONAL ANALYTICS; HIGHER EDUCATION INSTITUTIONS; LEARNING ANALYTICS; SCIENTIFIC LITERATURE;

BIG DATA;

ARTICLE; BIBLIOMETRICS; DATA MINING; DECISION MAKING; EDUCATION; HUMAN; HUMAN EXPERIMENT; LANDSCAPE; LEARNING; MANAGEMENT; PUBLICATION; SCIENTIFIC LITERATURE; SCOPUS; STUDENT; TEACHER; VISION; WRITING;

EID: 85046447664     PISSN: 0144929X     EISSN: 13623001     Source Type: Journal    
DOI: 10.1080/0144929X.2018.1467967     Document Type: Article

References (72)

1. Acedo, Francisco Jose, Carmen, Barroso, Cristobal, Casanueva, and Jose Luis, Galan. 2006. “Co-authorship in Management and Organizational Studies: An Empirical and Network Analysis.” Journal of Management Studies 43 (5): 957–983. doi: 10.1111/j.1467-6486.2006.00625.x
2. Aljohani, Naif Radi., 2014. “A Student-Centred Analytical Dashboard to Enhance Students’ Engagement.” PhD diss., University of Southampton.
3. Aljohani, Naif R., and Hugh C., Davis. 2012a. “Learning Analytics in Mobile and Ubiquitous Learning Environments.” In 11th World Conference on Mobile and Contextual Learning: mLearn, Finland, 16–18.
4. Aljohani, Naif Radi, and Hugh C., Davis. 2012b. “Significance of Learning Analytics in Enhancing the Mobile and Pervasive Learning Environments.” In Next Generation Mobile Applications, Services and Technologies (NGMAST), 2012 6th International Conference, 70–74. IEEE.
5. Aljohani, Naif Radi, and Hugh C., Davis. 2013. “Learning Analytics and Formative Assessment to Provide Immediate Detailed Feedback Using a Student Centered Mobile Dashboard.” In Next Generation Mobile Apps, Services and Technologies (NGMAST), 2013 Seventh International Conference, 262–267. IEEE.
6. Arnold, Kimberly E., and Matthew D., Pistilli. 2012. “Course Signals at PURDUE: Using Learning Analytics to Increase Student Success.” In Proceedings of the 2nd international conference on learning analytics and knowledge, 267–270. ACM.
7. Atif, Amara, Deborah, Richards, Ayse, Bilgin, and Mauricio, Marrone. 2013. “Learning Analytics in Higher Education: A Summary of Tools and Approaches.” In Australasian Society for Computers in Learning in Tertiary Education. ASCILITE-Australian Society for Computers in Learning in Tertiary Education Annual Conference, 68–72.
8. Beaver, Donald., 2001. “Reflections on Scientific Collaboration (and Its Study): Past, Present, and Future.” Scientometrics 52 (3): 365–377. doi: 10.1023/A:1014254214337
9. Bichsel, Jacqueline., 2012. “Analytics in Higher Education: Benefits, Barriers, Progress, and Recommendations.” EDUCAUSE Center for Applied Research.
10. Casey, Kevin, and David, Azcona. 2017. “Utilizing Student Activity Patterns to Predict Performance.” International Journal of Educational Technology in Higher Education 14 (1): 23. doi: 10.1186/s41239-017-0044-3
11. Casquero, Oskar, Ramon, Ovelar, Jesus, Romo, Manuel, Benito, and Mikel, Alberdi. 2016. “Students’ Personal Networks in Virtual and Personal Learning Environments: A Case Study in Higher Education Using Learning Analytics Approach.” Interactive Learning Environments 24: 49–67. doi: 10.1080/10494820.2013.817441
12. Castro, Felix, Alfredo, Vellido, Angela, Nebot, and Francisco, Mugica. 2007. “Applying Data Mining Techniques to E-learning Problems.” Evolution of Teaching and Learning Paradigms in Intelligent Environment 62: 183–221. doi: 10.1007/978-3-540-71974-8_8
13. Chang, C.-J., M.-H., Chang, C.-C., Liu, B.-C., Chiu, S.-H., Fan Chiang, C.-T., Wen, F.-K., Hwang, P.-Y., Chao, Y.-L., Chen, and C.-S., Chai. 2017. “An Analysis of Collaborative Problem-Solving Activities Mediated by Individual-based and Collaborative Computer Simulations.” Journal of Computer Assisted Learning 33 (6): 649–662. doi: 10.1111/jcal.12208
14. Chatti, Mohamed Amine, Anna Lea, Dyckhoff, Ulrik, Schroeder, and Hendrik, Thüs. 2012. “A Reference Model for Learning Analytics.” International Journal of Technology Enhanced Learning 4 (5–6): 318–331. doi: 10.1504/IJTEL.2012.051815
15. Daniel, Ben K., 2017. “Big Data in Higher Education: The Big Picture.” In Big Data and Learning Analytics in Higher Education, 19–28. Cham, Switzerland: Springer.
16. Daud, Ali, Naif Radi, Aljohani, Rabeeh Ayaz, Abbasi, Miltiadis D., Lytras, Farhat, Abbas, and Jalal S., Alowibdi. 2017. “Predicting Student Performance Using Advanced Learning Analytics.” In Proceedings of the 26th International Conference on World Wide Web Companion, 415–421. International World Wide Web Conferences Steering Committee.
17. Dutt, Ashish, Maizatul Akmar, Ismail, and Tutut, Herawan. 2017. “A Systematic Review on Educational Data Mining.” IEEE Access 5: 15991–16005. doi: 10.1109/ACCESS.2017.2654247
18. Elias, Tanya., 2011. “Learning Analytics.” Learning.
19. Estabrooks, Carole A., Connie, Winther, and Linda, Derksen. 2004. “Mapping the Field: A Bibliometric Analysis of the Research Utilization Literature in Nursing.” Nursing Research 53 (5): 293–303. doi: 10.1097/00006199-200409000-00003
20. Estevez-Ayres, Iria, Jesus Arias, Fisteus, and Carlos, Delgado-Kloos. 2017. “Lostrego: A Distributed Stream-Based Infrastructure for the Real-Time Gathering and Analysis of Heterogeneous Educational Data.” Journal of Network and Computer Applications 100: 56–68. doi: 10.1016/j.jnca.2017.10.014
21. Ferguson, Rebecca., 2012. “Learning Analytics: Drivers, Developments and Challenges.” International Journal of Technology Enhanced Learning 4 (5–6): 304–317. doi: 10.1504/IJTEL.2012.051816
22. Ferreira, Fernando A. F., 2018. “Mapping the Field of Arts-Based Management: Bibliographic Coupling and Co-Citation Analyses.” Journal of Business Research 85: 348–357. doi: 10.1016/j.jbusres.2017.03.026
23. Ferreira, Joao J. M., Fernando A. F., Ferreira, Cristina I. M. A. S., Fernandes, Marjan S., Jalali, M’ario L., Raposo, and Carla S., Marques. 2016. “What Do We [Not] Know About Technology Entrepreneurship Research?” International Entrepreneurship and Management Journal 12 (3): 713–733. doi: 10.1007/s11365-015-0359-2
24. Fidalgo-Blanco, Angel, Maria Luisa, Sein-Echaluce, Francisco J, Garcia-Penalvo, and Miguel Angel, Conde. 2015. “Using Learning Analytics to Improve Teamwork Assessment.” Computers in Human Behavior 47: 149–156. doi: 10.1016/j.chb.2014.11.050
25. Freitas, Sara, David, Gibson, Coert, Du Plessis, Pat, Halloran, Ed, Williams, Matt, Ambrose, Ian, Dunwell, Sylvester, Arnab. 2015. “Foundations of Dynamic Learning Analytics: Using University Student Data to Increase Retention.” British Journal of Educational Technology 46 (6): 1175–1188. doi: 10.1111/bjet.12212
26. Garfield, Eugene, and Robert King, Merton. 1979. Citation Indexing: Its Theory and Application in Science, Technology, and Humanities. 8 vols. New York: Wiley.
27. Garg, K., 2002. “Scientometrics of Laser Research in India and China.” Scientometrics 55 (1): 71–85. doi: 10.1023/A:1016050920365
28. Gasevic, Dragan, Jelena, Jovanovic, Abelardo, Pardo, and Shane, Dawson. 2017. “Detecting Learning Strategies with Analytics: Links with Self-Reported Measures and Academic Performance.” Journal of Learning Analytics 4 (2): 113–128. doi: 10.18608/jla.2017.42.10
29. Geisler, Eliezer., 2000. The Metrics of Science and Technology. London: Quorum Books.
30. Grant, Jonathan, Robert, Cottrell, Franccoise, Cluzeau, and Gasil, Fawcett. 2000. “Evaluating ‘Payback’ on Biomedical Research from Papers Cited in Clinical Guidelines: Applied Bibliometric Study.” BMJ: British Medical Journal 320 (7242): 1107–1111. doi: 10.1136/bmj.320.7242.1107
31. Greller, Wolfgang, and Hendrik, Drachsler. 2012. “Translating Learning into Numbers: A Generic Framework for Learning Analytics.” Journal of Educational Technology & Society 15: 42.
32. Hassan, Saeed-Ul, and Peter, Haddawy. 2013. “Measuring International Knowledge Flows and Scholarly Impact of Scientific Research.” Scientometrics 94 (1): 163–179. doi: 10.1007/s11192-012-0786-6
33. Hassan, Saeed-Ul, Peter, Haddawy, Pratikshya, Kuinkel, Alexander, Degelsegger, and Cosima, Blasy. 2012. “A Bibliometric Study of Research Activity in ASEAN Related to the EU in FP7 Priority Areas.” Scientometrics 91 (3): 1035–1051. doi: 10.1007/s11192-012-0665-1
34. Hassan, Saeed-Ul, Peter, Haddawy, and Jia, Zhu. 2014. “A Bibliometric Study of the World’s Research Activity in Sustainable Development and Its Sub-areas Using Scientific Literature.” Scientometrics 99 (2): 549–579. doi: 10.1007/s11192-013-1193-3
35. Hudson, John., 1996. “Trends in Multi-Authored Papers in Economics.” The Journal of Economic Perspectives 10 (3): 153–158. doi: 10.1257/jep.10.3.153
36. Iam-On, Natthakan, and Tossapon, Boongoen. 2017. “Generating Descriptive Model for Student Dropout: A Review of Clustering Approach.” Human-centric Computing and Information Sciences 7 (1): 1. doi: 10.1186/s13673-016-0083-0
37. Khalil, Mohammad, and Martin, Ebner. 2015. “Learning Analytics: Principles and Constraints.” In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, 1326–1336.
38. Kizilcec, René F., Chris, Piech, and Emily, Schneider. 2013. “Deconstructing Disengagement: Analyzing Learner Subpopulations in Massive Open Online Courses.” In Proceedings of the Third International Conference on Learning Analytics and Knowledge, 170–179. New York, NY: ACM.
39. Knox, Jeremy., 2017. “Data Power in Education: Exploring Critical Awareness with the ‘Learning Analytics Report Card’.” Television & New Media 18 (8): 734–752. doi: 10.1177/1527476417690029
40. Lau, K. H. Vincent, Pue, Farooque, Gary, Leydon, Michael L., Schwartz, R. Mark, Sadler, and Jeremy J., Moeller. 2018. “Using Learning Analytics to Evaluate a Video-based Lecture Series.” Medical Teacher 40 (1): 91–98. doi: 10.1080/0142159X.2017.1395001
41. Le, Thien, Frederic, Stahl, Mohamed Medhat, Gaber, Joao Bartolo, Gomes, and Giuseppe Di, Fatta. 2017. “On Expressiveness and Uncertainty Awareness in Rule-Based Classification for Data Streams.” Neurocomputing 265: 127–141. doi: 10.1016/j.neucom.2017.05.081
42. Leitner, Philipp, Mohammad, Khalil, and Martin, Ebner. 2017. “Learning Analytics in Higher Education–A Literature Review.” In Learning Analytics: Fundaments, Applications, and Trends, 1–23. Cham, Switzerland: Springer International Publishing.
43. Leydesdorff, Loet, and Tobias, Opthof. 2010. “Normalization at the Field Level: Fractional Counting of Citations.” Journal of Informetrics 4 (4): 644–646. doi: 10.1016/j.joi.2010.05.003
44. Luan, Jing., 2002. “Data Mining and its Applications in Higher Education.” New Directions for Institutional Research 2002: 17–36. doi: 10.1002/ir.35
45. Martinez-Maldonado, Roberto, Davinia, Hernandez-Leo, Abelardo, Pardo, and Hiroaki, Ogata. 2017. “2nd cross-LAK: Learning Analytics Across Physical and Digital Spaces.” In Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 510–511, ACM.
46. Moed, Henk F, Marc, Luwel, and Anton J, Nederhof. 2002. “Towards Research Performance in the Humanities.” Library Trends 50: 498–520.
47. Moody, James., 2004. “The Structure of a Social Science Collaboration Network: Disciplinary Cohesion from 1963 to 1999.” American Sociological Review 69 (2): 213–238. doi: 10.1177/000312240406900204
48. Mora, Higinio, Antonio, Ferrandez, David, Gil, and Jesus, Peral. 2017. “A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities.” The International Review of Research in Open and Distributed Learning 18 (1). doi: 10.19173/irrodl.v18i1.2637
49. Palmer, Stuart., 2013. “Modelling Engineering Student Academic Performance Using Academic Analytics.” International Journal of Engineering Education 29 (1): 132–138.
50. Pardo, Abelardo, Feifei, Han, and Robert A., Ellis. 2017. “Combining University Student Self-regulated Learning Indicators and Engagement with Online Learning Events to Predict Academic Performance.” IEEE Transactions on Learning Technologies 10 (1): 82–92.
51. Pardo, Abelardo, and George, Siemens. 2014. “Ethical and Privacy Principles for Learning Analytics.” British Journal of Educational Technology 45 (3): 438–450. doi: 10.1111/bjet.12152
52. Patel, Pari., 1998. “Indicators for Systems of Innovation and System Interactions: Technological Collaboration and Inter-active Learning.” In IDEA Paper Series, 11. Oslo: STEP Group.
53. Phillips, Rob, Dorit, Maor, Greg, Preston, and Wendy, Cumming-Potvin. 2012. “Exploring Learning Analytics as Indicators of Study Behaviour.” In Proceedings of EdMedia 2012– World Conference on Educational Media and Technology, edited by T., Amiel & B., Wilson, 2861–2867., Denver, CO: Association for the Advancement of Computing in Education (AACE).
54. Picciano, Anthony G., 2012. “The Evolution of Big Data and Learning Analytics in American Higher Education.” Journal of Asynchronous Learning Networks 6 (3): 9–20.
55. Piety, Philip J., Daniel T., Hickey, and M. J., Bishop. 2014. “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, 193–202. ACM.
56. Pudovkin, Alexander I., and Eugene, Garfield. 2004. “Rank-normalized Impact Factor: A Way to Compare Journal Performance Across Subject Categories.” Proceedings of the Association for Information Science and Technology 41 (1): 507–515.
57. Romero, Cristobal, and Sebastian, Ventura. 2007. “Educational Data Mining: A Survey from 1995 to 2005.” Expert Systems with Applications 33 (1): 135–146. doi: 10.1016/j.eswa.2006.04.005
58. Romero, Cristobal, and Sebastian, Ventura. 2010. “Educational Data Mining: A Review of the State of the Art.” IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 40: 601–618. doi: 10.1109/TSMCC.2010.2053532
59. Romero, Cristobal, and Sebastian, Ventura. 2013. “Data Mining in Education.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 3 (1): 12–27.
60. Romero, Cristobal, Sebastian, Ventura, and Enrique, Garcia. 2008. “Data Mining in Course Management Systems: Moodle Case Study and Tutorial.” Computers & Education 51 (1): 368–384. doi: 10.1016/j.compedu.2007.05.016
61. Santos, Jose Luis, Katrien, Verbert, Sten, Govaerts, and Erik, Duval. 2013. “Addressing Learner Issues with StepUp!: An Evaluation.” In Proceedings of the Third International Conference on Learning Analytics and Knowledge, 14–22. ACM.
62. Sclater, N., 2014. “Code of Practice ‘Essential’ for Learning Analytics.” http://analytics.jiscinvolve.org/wp/2014/09/18/code-of-practice-essential-for-learning-analytics/.
63. Sclater, Niall, Alice, Peasgood, and Joel, Mullan. 2016. “Learning Analytics in Higher Education,” London: Jisc. Accessed February 8 2017.
64. Shum, Simon Buckingham, and Rebecca, Ferguson. 2012. “Social Learning Analytics.” Journal of Educational Technology & Society 3 (3): 15.
65. Siemens, G., 2010. “What Are Learning Analytics.” Accessed February 10, 2016. http://www.elearnspace.org/blog/2010/08/25/what-are-learning-analytics/.
66. Siemens, George, and Ryan S. J. d., Baker. 2012. “Learning Analytics and Educational Data Mining: Towards Communication and Collaboration.” In Proceedings of the 2nd international conference on learning analytics and knowledge, 252–254. ACM.
67. Siemens, George, and Phil, Long. 2011. “Penetrating the Fog: Analytics in Learning and Education.” Accessed June 8, 2011. http://www.educause.edu/.
68. Small, Henry., 1973. “Co-citation in the Scientific Literature: A New Measure of the Relationship Between Two Documents.” Journal of the Association for Information Science and Technology 24 (4): 265–269.
69. Van Eck, Nees Jan, and Ludo, Waltman. 2007. “VOS: A New Method for Visualizing Similarities Between Objects.” In Advances in Data Analysis, 299–306. Berlin: Springer. doi: 10.1007/978-3-540-70981-7_34
70. Van Harmelen, Mark, and David, Workman. 2012. “Analytics for Learning and Teaching.” CETIS Analytics Series 1 (3): 1–40.
71. Wilsdon, James., 2011. “Knowledge, Networks and Nations: Global Scientific Collaboration in the 21st Century.” The Royal Society (RS Policy Document 03/11).
72. Wilson, Anna, Cate, Watson, Terrie Lynn, Thompson, Valerie, Drew, and Sarah, Doyle. 2017. “Learning Analytics: Challenges and Limitations.” Teaching in Higher Education 22 (8): 991–1007. doi: 10.1080/13562517.2017.1332026