Creating collaborative groups in a MOOC: a homogeneous engagement grouping approach

被引:29
|
作者
Sanz-Martinez, Luisa [1 ]
Er, Erkan [1 ]
Martinez-Mones, Alejandra [1 ]
Dimitriadis, Yannis [1 ]
Bote-Lorenzo, Miguel L. [1 ]
机构
[1] Univ Valladolid, GSIC EMIC Res Grp, Valladolid, Spain
关键词
Automatic group formation; MOOCs; collaborative learning; engagement; homogeneous grouping;
D O I
10.1080/0144929X.2019.1571109
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Collaborative learning can improve the pedagogical effectiveness of MOOCs. Group formation, an essential step in the design of collaborative learning activities, can be challenging in MOOCs given the scale and the wide variety in such contexts. We discuss the need for considering the behaviours of the students in the course to form groups in MOOC contexts, and propose a grouping approach that employs homogeneity in terms of students? engagement in the course. Two grouping strategies with different degrees of homogeneity are derived from this approach, and their impact to form successful groups is examined in a real MOOC context. The grouping criteria were established using student activity logs (e.g. page-views). The role of the timing of grouping was also examined by carrying out the intervention once in the first and once in the second half of the course. The results indicate that in both interventions, the groups formed with a greater degree of homogeneity had higher rates of task-completion and peer interactions, Additionally, students from these groups reported higher levels of satisfaction with their group experiences. On the other hand, a consistent improvement of all indicators was observed in the second intervention, since student engagement becomes more stable later in the course.
引用
收藏
页码:1107 / 1121
页数:15
相关论文
共 50 条
  • [1] DOES HOMOGENEOUS GROUPING GIVE HOMOGENEOUS GROUPS
    BALOW, IH
    ELEMENTARY SCHOOL JOURNAL, 1962, 63 (01): : 28 - 32
  • [2] The Comparison of Creating Homogeneous and Heterogeneous Collaborative Learning Groups in Intelligent Tutoring Systems
    Bernacki, Jaroslaw
    Kozierkiewicz-Hetmanska, Adrianna
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT I, 2015, 9011 : 46 - 55
  • [3] A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups
    Hurtado, Remigio
    Bobadilla, Jesus
    Gutierrez, Abraham
    Alonso, Santiago
    INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2020, 6 (02): : 90 - 100
  • [4] A Collaborative Approach to Undergraduate Engagement
    Thacker, Mara L.
    Laut, Julie R.
    PORTAL-LIBRARIES AND THE ACADEMY, 2018, 18 (02) : 283 - 300
  • [5] A Principled Approach to the Design of Collaborative MOOC Curricula
    Haklev, Stian
    Slotta, James D.
    DIGITAL EDUCATION: OUT TO THE WORLD AND BACK TO THE CAMPUS, 2017, 10254 : 58 - 67
  • [6] Decolonizing Engagement? Creating a Sense of Community Through Collaborative Filmmaking
    Wiebe, Sarah Marie
    STUDIES IN SOCIAL JUSTICE, 2015, 9 (02): : 244 - 257
  • [7] GlobalEX: Creating a Collaborative Initiative for Enhancing Cross Cultural Engagement
    Wehlburg, Catherine M.
    Robbins, Sarah Ruffing
    Daugherty, Rachel Chapman
    Hughes, Ashley Taylor
    INNOVATIVE HIGHER EDUCATION, 2019, 44 (06) : 453 - 467
  • [8] GlobalEX: Creating a Collaborative Initiative for Enhancing Cross Cultural Engagement
    Catherine M. Wehlburg
    Sarah Ruffing Robbins
    Rachel Chapman Daugherty
    Ashley Taylor Hughes
    Innovative Higher Education, 2019, 44 : 453 - 467
  • [9] Creating collaborative learning groups in intelligent tutoring systems
    Bernacki, Jaroslaw
    Kozierkiewicz-Hetmańska, Adrianna
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8671 : 184 - 193
  • [10] Creating Collaborative Learning Groups in Intelligent Tutoring Systems
    Bernacki, Jaroslaw
    Kozierkiewicz-Hetmanska, Adrianna
    COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, ICCCI 2014, 2014, 8733 : 184 - 193