Now showing 1 - 4 of 4
  • Publication
    Open Access
    Reframing technology for assessment and learning as a form of signature pedagogy
    (National Institute of Education (Singapore), 2022)
    For two centuries, our classrooms have looked largely the same, with students seated behind neat rows of desks listening to the teacher expounding in the front. The exception was during the school lock-downs because of the COVID-19 pandemic when our pedagogy seemed to change with students sitting in front of an electronic device. But now that the schools have reopened, we seem to have gone back again to the days of B.C (Before COVID-19).
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  • Publication
    Open Access
    Students' engagement across a typology of teacher feedback practices
    (2022) ;
    Lam, Karen
    The provision of feedback is widely practised as part of formative assessment. However, studies that examine the impact of feedback are usually from the teachers’ perspective, focusing on why and how they provide feedback. Fewer studies examine feedback from the students’ perspective, especially in the way they experience, make sense of and take up their teachers’ feedback. This paper provides empirical evidence of student engagement with different patterns of teacher feedback in their written essays. Data were gathered from 45 students (from 5 different schools) through group interviews and analysis of student artefacts from three rounds of writing tasks. The findings on affective, behavioural and cognitive engagement surfaced the conditions that will contribute to students’ will and skill to act on their teachers’ feedback. The implications on both teacher and student assessment literacy are discussed. The discussion will provide professional development providers and policy makers with new perspectives of and approaches to strengthening formative assessment practices in ways that are more cognizant of students’ experience of feedback.
    WOS© Citations 5Scopus© Citations 9  104  62
  • Publication
    Open Access
    Effective questioning and feedback for learners with autism in an inclusive classroom
    There is limited research regarding how Assessment for Learning (AfL) can support mainstream classrooms that have students with special needs. In current literature, it is assumed that AfL functions in similar ways across different contexts. Studies on how AfL practices can accommodate mainstream and special educational students in the same classroom are very limited. The present study sets out to investigate AfL practices in the context of mainstream classes that include high-functioning students with autism spectrum disorder (ASD), focusing specifically on questioning techniques and teacher feedback. Though these strategies are associated with positive learning outcomes, learners with ASD may face difficulty in engaging in such questioning and feedback dialogue because of various challenges (e.g., atypical attentional networks). This qualitative instrumental case study involved observing six mainstream teachers from five schools during lessons and separately interviewing the teachers and the students with ASD. The study found that these teachers used approaches that focused on three considerations: addressing the cognitive needs of students (e.g. precise and direct questions); their socio-emotional needs (e.g. affirmative feedback); and supporting structures (e.g. visual cues). The study expands our current limited understanding of AfL in inclusive classrooms and highlights the implications for classroom practice.
    WOS© Citations 8Scopus© Citations 14  148  142
  • Publication
    Metadata only
    Supporting self-directed learning and self-assessment using TeacherGAIA, a generative AI chatbot application: Learning approaches and prompt engineering
    Self-directed learning and self-assessment require student responsibility over learning needs, goals, processes, and outcomes. However, this student-led learning can be challenging to achieve in a classroom limited by a one-to-many teacher-led instruction. We, thus, have designed and prototyped a generative artificial intelligence chatbot application (GAIA), named TeacherGAIA, that can be used to asynchronously support students in their self-directed learning and self-assessment outside the classroom. We first identified diverse constructivist learning approaches that align with, and promote, student-led learning. These included knowledge construction, inquiry-based learning, self-assessment, and peer teaching. The in-context learning abilities of large language model (LLM) from OpenAI were then leveraged via prompt engineering to steer interactions supporting these different learning approaches. These interactions contrasted with ChatGPT, OpenAI’s chatbot which by default engaged in the traditional transmissionist mode of learning reminiscent of teacher-led instruction. Preliminary design, prompt engineering and prototyping suggested fidelity to the learning approaches, cognitive guidance, and social-emotional support, all of which were implemented in a generative AI manner without pre-specified rules or “hard-coding”. Other affordances of TeacherGAIA are discussed and future development outlined. We anticipate TeacherGAIA to be a useful application for teachers in facilitating self-directed learning and self-assessment among K-12 students.
    Scopus© Citations 4  47