Learning natural selection through computational thinking: Unplugged design of algorithmic explanations

Computational thinking (CT) is a way of making sense of the natural world and problem solving with computer science concepts and skills. Although CT and science integrations have been called for in the literature, empirical investigations of such integrations are lacking. Prior work in natural selection education indicates students struggle to explain natural selection in different contexts and natural selection misconceptions are common. In this mixed methods study, secondary honors biology students learn natural selection through CT by engaging in the design of unplugged algorithmic explanations. Students learned CT principles and practices and applied them to learn and explain the natural selection process. Algorithmic explanations were used to scaffold transfer of natural selection knowledge across contexts through investigation of three organisms and the creation of generalized natural selection algorithms. Students' pre- and post-unit algorithmic explanations of natural selection were analyzed to answer the following research questions: (a) How do students' conceptions of natural selection change over the course of a CT focused unit? (b) What is the relationship between CT and natural selection in students' algorithmic explanations? (c) What are students' perspectives of learning natural selection with CT? Results indicate students' conceptions of natural selection increased and natural selection misconceptions decreased over the course of the unit. Within their post-unit algorithmic explanations, students used specific CT principles in conjunction with natural selection concepts to explain natural selection, which helped them to learn the details of the natural selection process and correct their natural selection misconceptions. Students indicated the use of CT in unplugged algorithmic explanations in different contexts helped them learn natural selection. This study shows unplugged CT can be used to teach students science content, and it provides an example for further CT and science integrations. Implications for the field are discussed.     

Building a support system toward tenure: challenges and needs of tenure‐track faculty in colleges of education

This article describes the experiences, perceptions, and available support systems of untenured faculty from a south eastern United States public university system in their progress toward tenure. Survey results were used to develop a model support system for new faculty. Data were collected from an online survey sent to 191 tenure‐track faculty in colleges of education, yielding a 50% (n = 96) response rate. The following research questions guided this research: (a) What are the expectations for teaching, research and service in the colleges of education surveyed? (b) In what ways are untenured faculty supported and/or mentored? (c) What kind of support system(s) need(s) to be in place to assist new faculty in balancing teaching, research, and service expectations? In this mixed‐methods study, respondents were asked about their workload, expectations for tenure, and formal and informal support they received on the tenure track. Untenured faculty reported stressful and unbalanced lifestyles, and work expectations exceeded assigned workloads for several institutions. A new faculty comprehensive support system model is suggested.     

Students’ model-based explanations about natural selection and antibiotic resistance through socio-scientific issues-based learning

Antibiotic resistance (ABR) is a significant contemporary socio-scientific issue. To engage in informed reasoning about ABR, students need to understand natural selection. A secondary science unit was designed and implemented, combining an issues-based approach and model-based reasoning, to teach students about natural selection and ABR. This sequential explanatory mixed methods study explored students’ explanations of natural selection. Students created model-based explanations (MBEs) about ABR and verbally explained generalised natural selection during semi-structured interviews. Students’ MBEs significantly increased in natural selection content, and misconceptions about natural selection and ABR significantly decreased after the unit. However, students’ explanations of generalised natural selection differed from ABR explanations. Students struggled to include mutation as the cause of initial variation when explaining generalised natural selection, whereas students included mutation when explaining ABR but often did so after selection pressure. Qualitative analysis indicated students correctly explained ABR or correctly explained generalised natural selection, but none correctly explained both. Students who did understand ABR struggled to apply their understanding to a context other than ABR. This study demonstrates contextual differences in students’ natural selection ideas and provides implications for natural selection instruction. While ABR is a compelling issue to contextualise natural selection instruction, it may be problematic.     

Becoming and Being a Specialist: anticipating and experiencing higher education English

Abstract

This paper presents and discusses a hitherto largely neglected area of academic and pedagogic research in one of the most popular subjects in higher education — English. The authors examine student‐held views of what constitutes ‘English’, focusing for part of the discussion on reading and reading logs in routine English teaching. The first part of the paper concentrates on the quality of students’ insights into reading as revealed by the novel experience of keeping a reading log. The second part of the paper places this pedagogic experience in a larger context. Here, students’ own views of English, anticipated and subsequent to arrival in higher education, are evaluated. The authors apply different theoretical constructs in both their methodology and interpretation of findings. They conclude that one significant challenge for students in higher education English today is to adjust themselves, with a balance between flexibility and coherence, to a new techno‐cultural world. This world demands the intellectual capabilities both of self‐reflection and community affiliation in an expanding disccurse called ‘English’.