Implementing learning analytics interventions to support student agency in knowledge building

被引:0
|
作者
Ng, Andy Ding-Xuan [1 ]
Ong, Aloysius [2 ]
Lee, Alwyn Vwen Yen [2 ]
Teo, Chew Lee [2 ]
机构
[1] Nanyang Technol Univ, Natl Inst Educ, Learning Sci & Assessment, 1 Nanyang Walk, Singapore City 637616, Singapore
[2] Nanyang Technol Univ, Natl Inst Educ, Off Educ Res, Singapore City, Singapore
来源
PEDAGOGIES | 2024年 / 19卷 / 03期
关键词
Learning analytics; teacher implementation; student agency; collaborative learning; knowledge building; AGENTIC ENGAGEMENT; DISCOURSE;
D O I
10.1080/1554480X.2024.2379786
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Research and development of Learning Analytics (LA) have created new ways to support students' learning. However, our understanding of teachers' roles when implementing LA in classroom practices remains nascent. This study investigates how teachers can implement LA to support students' agency in directing their own inquiry, when engaging in a digital pedagogy approach known as Knowledge Building (KB) on an online platform called Knowledge Forum (KF). Together with a teacher experienced in KB and KF, we co-constructed interventions anchored on two easy-to-use LA tools in KF, the Scaffold Tracker and Word Cloud. These LA interventions were enacted with a Grade 5 class of 18 students and another Grade 6 class of 18 students. Three teacher roles were identified: detecting behaviour unproductive to collaboration, mediating between LA and student self-assessment, and framing student-generated lines of inquiry in actionable ways. We coded KF notes for the discourse moves they reflected and found that after the teacher implemented the LA interventions, notes that sustained inquiry increased sharply with students' focus shifting from individual to collective knowledge and from superficial explanations to deep understandings. We discuss the implications of these findings on the development of ways to bridge LA research and practice.
引用
收藏
页码:372 / 402
页数:31
相关论文
共 50 条
  • [31] Rethinking Text Sets to Support Knowledge Building and Interdisciplinary Learning
    Lupo, Sarah M.
    Berry, Alicia
    Thacker, Emma
    Sawyer, Amanda
    Merritt, Joi
    READING TEACHER, 2020, 73 (04): : 513 - 524
  • [32] Student Analytics Using Support Vector Machines
    Camba, Jannieca
    David, Roanna Ellise
    Betan, Ariel
    Lagman, Annette
    Caro, Jaime D. L.
    2016 7TH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS & APPLICATIONS (IISA), 2016,
  • [33] A Learning Analytics Methodology for Student Profiling
    Lotsari, Elvira
    Verykios, Vassilios S.
    Panagiotakopoulos, Chris
    Kalles, Dimitris
    ARTIFICIAL INTELLIGENCE: METHODS AND APPLICATIONS, 2014, 8445 : 300 - 312
  • [34] The Student Expectations of Learning Analytics Questionnaire
    Whitelock-Wainwright, Alexander
    Gasevic, Dragan
    Tejeiro, Ricardo
    Tsai, Yi-Shan
    Bennett, Kate
    JOURNAL OF COMPUTER ASSISTED LEARNING, 2019, 35 (05) : 633 - 666
  • [35] Student Analytics for productive teaching/learning
    Dinesh, Divya
    Narayanan, Athi S.
    Bijlani, Kamal
    PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE (ICIS), 2016, : 97 - 102
  • [36] STUDENT AGENCY - A DIFFERENT PARADIGM FOR LEARNING
    van Dijck, Egbert-Jan
    Meijer, Maarten
    van den Berg, Femke
    Kalkman, Ruben
    Roest, Thijs
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ENGINEERING AND PRODUCT DESIGN EDUCATION, E&PDE 2023, 2023, 123 : 655 - 660
  • [37] Adaptive support of e-portfolio knowledge for student ubiquitous learning
    Ke, Chih-Kun
    Chen, Wei-Tu
    Wu, Mei-Yu
    ICIC Express Letters, 2010, 4 (05): : 1521 - 1527
  • [38] Implementing learning analytics for learning impact: Taking tools to task
    Knight, Simon
    Gibson, Andrew
    Shibani, Antonette
    INTERNET AND HIGHER EDUCATION, 2020, 45
  • [39] Practical ethics for building learning analytics
    Kitto, Kirsty
    Knight, Simon
    BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, 2019, 50 (06) : 2855 - 2870
  • [40] Workshop: Building the Learning Analytics Curriculum
    Lang, Charles
    Teasley, Stephanie
    Stamper, John
    SEVENTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE (LAK'17), 2017, : 520 - 521