Tan, Aik-Ling

To foster students’ learning of critical-thinking skills, we incorporated ill-structured problems in a Human Diseases module for third-year Life Sciences students. Using a problem-solving rubric and working in groups of three, students attempted to solve problems presented to them. We mediated their discussions by asynchronous online discussion forums (AODFs) as part of mass customisation of learning for 40 students where personalised learning was constrained by structure of the module. We examined the quality of students’ discussion, focusing on the feedback group members provided to one another, using an interpreted Structure of Observed Learning Outcomes (SOLO) taxonomy to code students’ feedback. Our analysis indicated that the students were able to provide uni-structural and multi-structural level in relation to solving an ill-structured problem, even though they are not used to solving ill-structured problems. This indicated that in a mid-size class, while personalised-learning is not always easy, it is possible to mass customise learning for students using common ill-structured problems in a class by mediating problem-solving using student discussions as feedback. However, more can be done to scaffold peer feedback on solving ill-structured problems so that the level of collaborative-learning can be improved in a mass customised model that approaches personalised learning.

The issue of integrated STEM curriculum design and evaluation requires a more consistent understanding and clarity among STEM educators. In this paper, we propose an instructional framework of STEM integration based on the theoretical notions of disciplinarity and problem-centred learning. The proposed S-T-E-M Quartet instructional framework utilises complex, persistent and extended problems at its core, and the problem solving process as the overarching frame. The key difference between the proposed S-T-E-M Quartet instructional framework and models such as the STEM road map and the Cubic model for STEAM education is the emphasis on the connections between different disciplines. Similar to the STEM road map, the application of the S-T-E-M Quartet framework begins with a single lead discipline as the focus and subsequently examines how knowledge and skills of the lead discipline are connected and related to the other three disciplines. As an instructional framework, the S-T-E-M Quartet requires description of learning outcomes for each discipline when students work with the problem. The learning outcomes within individual disciplines constitute the vertical learning within a discipline. Depending on the problem described, the learning outcomes for some disciplines might be more in-depth than others. As the S-T-E-M Quartet foregrounds connections between disciplines, attention is also paid to the strength of connections, whether they are weak, moderate or strong. A case example of application of the S-T-E-M Quartet instructional framework is presented as an illustration of how the S-T-E-M Quartet instructional framework can be used to design and reflect on STEM tasks.

This paper, as part of a larger ongoing study, presents the use of a multi-layer approach to analyzing teacher noticing for the improvement of teaching practices. Situated in the field of teaching analytics, the use of multimodal sensors and analytics, especially for teacher noticing research, has provided affordances to discover deep insights for improving teaching practices. We collected data from a case study of one teacher over three lessons of science teaching in a secondary school. Multimodal sensors including an eye-tracking device, a microphone, and multiple video cameras were deployed in a classroom. The various sources of data were integrated and a multi-layer analysis was performed to uncover insights into the teaching practice. The findings show that a novice teacher in our case study was able to attend to events in her classroom, with some interpretations and sense-making of the events; some necessary actions were taken based on the teacher’s analysis but in some instances, necessary action was found to be lacking. Prior knowledge and the wealth of experiences or the lack thereof, together with visual cues in the environment, can affect the decision of novice teachers in executing certain actions in a classroom.

Teacher noticing patterns offer insights into in-the-moment decisions and actions of teachers that have a direct impact on students’ learning. However, research on differences between novice and expert teachers’ vision in lessons remain limited. Using a mobile eye-tracker, we collected and analyzed data from two science teachers. Findings showed that the expert teacher focused her attention on relevant information across the classroom, while the novice teacher’s attention was restricted to specific problematic areas. As a work-in-progress, this paper provides valuable insights that we can build onto existential work for further studies.

The role of language in science learning and teaching has been a focus of science education research for over three decades. This rich body of research has led to the insight that learning the language of science is constitutive of learning science: simultaneously with participating in classroom activities and conversations, describing observations and constructing conceptual understanding, students must begin to appropriate the language of science.

Science as a field of study is defined by epistemic practices of questioning, inquiry, argumentation and legitimising scientific knowledge. These epistemic practices shape the kinds of talk in the classroom as scientific knowledge is “talked into being”. The question that we aim to answer with this chapter is “What is the unique function and role of dialogue in learning science epistemic practices?” Discourse analysis is a means to analyse scientific talk to review the mechanisms and patterns through which scientific knowledge is learnt. As such, to develop our argument, we first delve into the theoretical underpinnings based on a sociocultural perspective of dialogue in science education. This is followed by a review of empirical studies in science education that focusses on talk in four key science epistemic practices of questioning, science inquiry, argumentation and legitimising conceptual knowledge. The review provides evidence of dialogue as fundamental to both the enactment and learning of science epistemic practices by scientists and science students. We included a discussion about the way forward for dialogue in science and STEM education research.