Now showing 1 - 10 of 20
  • Publication
    Open Access
    Value and challenges in using a collaborative critical reading and learning analytics system: A cross-case analysis of two high schools
    (International Society of the Learning Sciences, Inc., 2023) ;
    Jonathan, Christin
    ;
    ; ;
    Tan, Jennifer Pei-Ling
    WiREAD+ is an augmented web-based collaborative critical reading and learning analytics environment that was developed to scaffold and engage students in collaborative dialogue around online texts. This paper reports on the trial of WiREAD+ for Grade 9 students in two high schools – School 1 (S1) with prior experience and School 2 (S2) that was new to the intervention design. We report on a cross-case analysis of the two schools, focusing on perceived ease of use and usefulness for learning, and reflect on the value and challenges of enacting WiREAD+ across schools of varying prior experience. Drawing from the findings of this cross-case analysis, we consider how we can support the wider adoption and deployment of the system across schools and settings by highlighting obstacles that new participants who might trial such new learning analytics systems might face.
      20  437
  • Publication
    Restricted
    Development and use of a web-based Collaborative Video Annotation and Analytics Environment to enhance blended teacher professional development (CoVAAPD) in physical education
    (Office of Education Research, National Institute of Education, Singapore, 2024) ;
    Jonathan, Christin
    ;
    Phan, Joanna Swee Lee
    ;
    Tay, Siu Hua
    ;
    Chian, Zason Lit Khoon
    ;
    ;
    Tan, Jennifer Pei-Ling
    ;
    Martens, Melanie Ann

    The Collaborative Video Annotation and Analytics Environment for Teacher Professional Development (CoVAAPD) project is a collaboration between National Institute of Education, Physical Education and Sports Teacher Academy (PESTA), and Educational Technology Division (ETD), Ministry of Education (MOE), to develop, implement and evaluate a web-based collaborative video annotation and analytics environment to enhance blended teacher professional development (PD) in Physical Education (PE). CoVAAPD was based on a prior evidence-based ICT innovation, an NRF-funded eduLab project, CoVAA, where teachers were involved in experimenting with the use of video annotation tools to improve learning and teaching in secondary schools. CoVAAPD leverages and augments CoVAA with substantial customisation for teacher PD.

    Typically, PE teachers engage in face-to-face discussions about lesson design and enactment with MOE officers from PESTA. Even more infrequent is the involvement of other PE teachers due to the inability to meet because of their hectic schedules. CoVAAPD expands opportunities to enrich the interaction and discourse, enabling collaborative blended professional learning for the PE teacher community. Teachers can learn from each other, and dialogue anywhere and anytime from posted video resources (e.g., of a teacher’s lesson). Teachers can make time-point based annotations, and within their professional learning community, share annotations, review peer annotations, and view/receive mentor feedback. Additionally, mentors can embed purposefully designed pedagogical scaffolds/tags to engage teachers in richer practitioner dialogue and social knowledge construction to refine and improve their design and enactment of PE lessons. Powerful learning analytics modules (based on pre-specified pedagogical tags) are integrated to enable teachers and mentors to continuously monitor professional learning progress to enhance and augment face-to-face lesson observation feedback and practitioner reflection activities.

      27  29
  • Publication
    Open Access
    The paradox of curriculum goals
    (National Institute of Education (Singapore), 2017) ;
    Tan, Jennifer Pei-Ling
      237  47
  • Publication
    Open Access
    A pedagogical framework for learning analytics in collaborative inquiry tasks: An example from a teamwork competency awareness program
    (2016) ;
    Shibani, Antonette
    ;
    Tan, Jennifer Pei-Ling
    ;
    Hong, Helen
    Many pedagogical models in the field of learning analytics are implicit and do not overtly direct learner behavior. While this allows flexibility of use, this could also result in misaligned practice, and there are calls for more explicit pedagogical models in learning analytics. This paper presents an explicit pedagogical model, the Team and Self Diagnostic Learning (TSDL) framework, in the context of collaborative inquiry tasks. Key informing theories include experiential learning, collaborative learning, and the learning analytics process model. The framework was trialed through a teamwork competency awareness program for 14 year old students. A total of 272 students participated in the program. This paper foregrounds students’ and teachers’ evaluative accounts of the program. Findings reveal positive perceptions of the stages of the TSDL framework, despite identified challenges, which points to its potential usefulness for teaching and learning. The TSDL framework aims to provide theoretical clarity of the learning process, and foster alignment between learning analytics and the learning design. The current work provides trial outcomes of a teamwork competency awareness program that used dispositional analytics, and further efforts are underway to develop the discourse layer of the analytic engine. Future work will also be dedicated to application and refinement of the framework for other contexts and participants, both learners and teachers alike.
      360  841
  • Publication
    Open Access
    Enhancing students’ critical reading fluency, engagement and self-efficacy using self-referenced learning analytics dashboard visualizations
    (2017)
    Jonathan, Christin
    ;
    Tan, Jennifer Pei-Ling
    ;
    ; ;
    Tay, Siu Hua
    Although learning analytics (LA) dashboard visualizations are increasingly being used to provide feedback to students, literature on the effectiveness of LA dashboards has been inconclusive. To address this, a LA student dashboard visualizing students’ latest data against their own data from previous weeks (i.e., self-referenced data) was designed – informed by Fredrickson’s (2004) broaden-and-build theory, as well as studies highlighting personal best goals (Martin & Elliot, 2016) and the negative effects of peer comparisons (Corrin & de Barba, 2014). The self-referenced LA student dashboard was implemented and evaluated in a Singapore secondary school as part of a larger study, WiREAD. This paper reports on the quantitative impact of the WiREAD self-referenced LA dashboard visualizations on 15-year-old students’ critical reading fluency, cognitive reading engagement, and English language (EL) self-efficacy, as well as students’ qualitative feedback on the usefulness and shortcomings of the LA dashboard.
      648  567
  • Publication
    Unknown
    Measuring and nurturing teamwork competency through a computer-supported creative collaborative problem-solving programme.
    (National Institute of Education (Singapore), 2020) ; ; ;
    Hong, Helen
    ;
    Tan, Jennifer Pei-Ling
    ;
    Tee, Yi Huan
    ;
    Dhivya Suresh
    ;
    Lek, Hsiang Hui
  • Publication
    Unknown
    The scalability readiness of WiREAD+: Perspectives of learners from three educational contexts
    (2022) ; ; ;
    Jonathan, Christin
    ;
    Tan, Jennifer Pei-Ling
    WiREAD+ is a web-based collaborative critical reading and learning analytics environment to scaffold learning and motivate students to develop richer dialogue and quality interactions with peers around multimodal texts. This paper reports on the pilots to scale up the use of WiREAD+ beyond the original context of Secondary School English Language (EL) learning to three distinct educational settings, namely, EL in a primary school, English Literature in a junior college (pre-university), and a tertiary-level Discourse Studies course. We report on learners’ perceptions in response to the use of the system and reflect on the potential and challenges in scaling up the system across different educational contexts, specifically on the three augmentations to the system which we have designed to improve its scalability readiness. Drawing from the findings of the pilot studies, we briefly discuss how we can support the wider adoption and deployment of the system across schools and settings.
      130  167
  • Publication
    Open Access
    Analytics of social processes in learning contexts: A multi-level perspective
    (2016-06)
    Rose, Carolyn P.
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    Gaesevic, Dragan
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    Dillenbourg, Pierre
    ;
    Jo, Yohan
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    Tomar, Gaurav
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    Ferschke, Oliver
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    Erkens, Gijsbert
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    van Leeuwen, Anouschka
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    Janssen, Jeroen
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    Brekelmans, Mieke
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    Tan, Jennifer Pei-Ling
    ;
    ; ;
    Jonathan, Christin
    ;
    Yang, Simon
    In the past two decades, the field of Machine Learning has not only greatly expanded in terms of the plethora of increasingly powerful modeling frameworks it has provided, but has also birthed the applied fields of Educational Data Mining and Learning Analytics. Learning Analytics has blossomed as an area in the Learning Sciences, promising impact for various stakeholders working at different educational levels, such as Instructional Designers, Students, Instructors, Policymakers and Administrators. This symposium offers a taste of cutting edge work across each of these levels, with a common emphasis on analytics applied to social processes.
      398  697
  • Publication
    Open Access
    A taxonomy for teacher-actionable insights in learning analytics
    (2017) ;
    Tan, Jennifer Pei-Ling
    In the field of learning analytics (LA), actionable insight from LA designs tends to be a buzzword without clear understandings. As the teacher is a key stakeholder, what teacher-actionable insights can be derived from LA designs? Towards providing greater clarity on this issue, we concretize a taxonomy of LA decision support for teacher-actionable insights in student engagement. Four types of decision support are conceived in this taxonomy with relevant teacher implications. Through this taxonomy, we hope to offer possible pathways for actionable insight in LA designs and make clearer the role of the teacher.
      226  282
  • Publication
    Metadata only
    Network science approaches to education research
    (International Journal of Complexity in Education, 2020) ;
    Yen, Peter
    ;
    Cheong, Siew Ann
    ;
    ; ;
    Tan, Jennifer Pei-Ling
    In the United States, the Interstate Teacher Assessment Consortium (InTASC) Standards and Education can be generally defined as a process of receiving and providing systematic instruction, and it embodies the verbal and nonverbal networks that the stakeholders (e.g., teachers and students) co-construct. Recent years witness an increasing interest in employing network science approaches to explore the interconnected and non-linear developmental process of education. The current review starts with a brief discussion on the nature of the educational data and proceeds with an introduction to network science history. Relevant network analysis approaches and terminologies are synthesized. Three case studies in Singapore are used to demonstrate how network science approaches can be employed to conceptualize daily educational issues. The findings of the three studies with network science approaches (e.g., motifs detection) may offer educators, researchers, and policymakers novel insights into better pedagogy and strategies for learning face-to-face or online.
      30