Students\u27 Task Interpretation and Conceptual Understanding in Electronics Laboratory Work

Task interpretation is a critical first step in the process of self-regulated learning and a key determinant of the goals students set while learning and the criteria used in selecting the strategy in their work. Laboratory activities have been proposed to improve students\u27 conceptual understanding when working independently and alongside peers while integrating new experiences in a lab setting. The purpose of this study was to investigate how the explicit and implicit aspects of student\u27s interpretation of the task assigned during laboratory work may change during the task process, and how that interpretation may influence the student\u27s coregulation and conceptual understanding. One-hundred and forty-three sophomore students enrolled in the course of Fundamental Electronics for Engineers participated in this study. Instruments designed to measure task interpretation and conceptual understanding were created and validated in a pilot study. They were applied before and after selected laboratory activities during the semester. The instrument used to measure correlation was applied at the end of every selected laboratory activity. Statistical analysis indicated differences between the student\u27s task interpretation before and after the laboratory activity. Students improved in approximately 15% in the level of task interpretation. From the 143 students, only 37 of them were identified with high levels of task interpretation and coregulation. Moreover, Pearson correlations identified a positive correlation between the students\u27 task interpretation and conceptual understanding of the students during the laboratory work. Findings suggested students\u27 task interpretation changed during the task process and increased after the completion of laboratory activity. Overall, the findings showed a low level of task interpretation. However, students with a high level of task interpretation reached high levels of coregulation. Findings confirmed previous research that round students generally have an incomplete understanding of the assigned tasks, and struggle to establish a connection between laboratory activities and theory. Lastly, this study reported a significant relationship between students\u27 task interpretation and conceptual understanding in laboratory work which has not been reported in the most recent published reports. Further investigation is necessary to unveil other factors related to these constructs in order to engage students in laboratory work

Characterizing lab instructors' self-reported learning goals to inform development of an experimental modeling skills assessment

The ability to develop, use, and refine models of experimental systems is a nationally recognized learning outcome for undergraduate physics lab courses. However, no assessments of students' model-based reasoning exist for upper-division labs. This study is the first step toward development of modeling assessments for optics and electronics labs. In order to identify test objectives that are likely relevant across many institutional contexts, we interviewed 35 lab instructors about the ways they incorporate modeling in their course learning goals and activities. The study design was informed by the Modeling Framework for Experimental Physics. This framework conceptualizes modeling as consisting of multiple subtasks: making measurements, constructing system models, comparing data to predictions, proposing causes for discrepancies, and enacting revisions to models or apparatus. We found that each modeling subtask was identified by multiple instructors as an important learning outcome for their course. Based on these results, we argue that test objectives should include probing students' competence with most modeling subtasks, and test items should be designed to elicit students' justifications for choosing particular modeling pathways. In addition to discussing these and other implications for assessment, we also identify future areas of research related to the role of modeling in optics and electronics labs.Comment: 24 pages, 2 figures, 5 tables; submitted to Phys. Rev. PE

Investigating the role of model-based reasoning while troubleshooting an electric circuit

We explore the overlap of two nationally-recognized learning outcomes for physics lab courses, namely, the ability to model experimental systems and the ability to troubleshoot a malfunctioning apparatus. Modeling and troubleshooting are both nonlinear, recursive processes that involve using models to inform revisions to an apparatus. To probe the overlap of modeling and troubleshooting, we collected audiovisual data from think-aloud activities in which eight pairs of students from two institutions attempted to diagnose and repair a malfunctioning electrical circuit. We characterize the cognitive tasks and model-based reasoning that students employed during this activity. In doing so, we demonstrate that troubleshooting engages students in the core scientific practice of modeling.Comment: 20 pages, 6 figures, 4 tables; Submitted to Physical Review PE

Investigating Student Learning of Analog Electronics

Instruction in analog electronics is an integral component of many physics and engineering programs, and is typically covered in courses beyond the first year. While extensive research has been conducted on student understanding of introductory electric circuits, to date there has been relatively little research on student learning of analog electronics in either physics or engineering courses. Given the significant overlap in content of courses offered in both disciplines, this study seeks to strengthen the research base on the learning and teaching of electric circuits and analog electronics via a single, coherent investigation spanning both physics and engineering courses. This dissertation has three distinct components, each of which serves to clarify ways in which students think about and analyze electronic circuits. The first component is a broad investigation of student learning of specific classes of analog circuits (e.g., loaded voltage dividers, diode circuits, and operational amplifier circuits) across courses in both physics and engineering. The second component of this dissertation is an in-depth study of student understanding of bipolar junction transistors and transistor circuits, which employed the systematic, research-based development of a suite of research tasks to pinpoint the specific aspects of transistor circuit behavior that students struggle with the most after instruction. The third component of this dissertation focuses more on the experimental components of electronics instruction by examining in detail the practical laboratory skill of troubleshooting. Due to the systematic, cross-disciplinary nature of the research documented in this dissertation, this work will strengthen the research base on the learning and teaching of electronics and will contribute to improvements in electronics instruction in both physics and engineering departments. In general, students did not appear to have developed a coherent, functional understanding of many key circuits after all instruction. Students also seemed to struggle with the application of foundational circuits concepts in new contexts, which is consistent with existing research on other topics. However, students did frequently use individual elements of productive reasoning when thinking about electric circuits. Recommendations, both general and specific, for future research and for electronics instruction are discussed

Promoting transfer and an integrated understanding for pre-service teachers of technology education

The ability of pre-service teachers (PSTs) to transfer learning between subjects and contexts when problem solving is critical for developing their capability as technologists and teachers of technology. However, a growing body of literature suggests this ability is often assumed or over-estimated, and rarely developed explicitly within courses or degree programmes. The nature of the problems tackled within technology are such that solutions draw upon knowledge from a wide range of contexts and subjects, however, the internal organization and structure of institutions and schools tends to compartmentalize rather integrate these. Providing a knowledge base and strategies to enhance PSTs’ awareness of and skills in transferring knowledge may allow for a more integrated understanding to develop. The importance of developing this ability to transfer knowledge is heightened as PSTs will, in turn, be responsible for developing the similar capabilities of their future students. This paper begins by considering problem solving in technology education and some of the issues associated with learning transfer. Thereafter, a framework and strategy for better integrating learning between courses is described and forms the basis for developments in an initial teacher education degree programme for technology education. Provisional data from evaluations and PSTs’ work indicated a positive effect in enhancing their thinking and additional data collected in the form of questionnaires, interviews and course work further illuminate this finding. It is argued that the development framework and approach enhances PSTs’ mental models of teaching technology and offers a significant step forward in promoting skills in the transfer of future learning between subjects; something increasingly critical for 21st century STEM Education

Visualizing time: how linguistic metaphors are incorporated into displaying instruments in the process of interpreting time-varying signals

Spatial visualization is a well-established topic of education research that has allowed improving science and engineering students’ skills on spatial relations. Connections have been established between visualization as a comprehension tool and instruction in several scientific fields. Learning about dynamic processes mainly relies upon static spatial representations or images. Visualization of time is inherently problematic because time can be conceptualized in terms of two opposite conceptual metaphors based on spatial relations as inferred from conventional linguistic patterns. The situation is particularly demanding when time-varying signals are recorded using displaying electronic instruments, and the image should be properly interpreted. This work deals with the interplay between linguistic metaphors, visual thinking and scientific instrument mediation in the process of interpreting time-varying signals displayed by electronic instruments. The analysis draws on a simplified version of a communication system as example of practical signal recording and image visualization in a physics and engineering laboratory experience. Instrumentation delivers meaningful signal representations because it is designed to incorporate a specific and culturally favored time view. It is suggested that difficulties in interpreting time-varying signals are linked with the existing dual perception of conflicting time metaphors. The activation of specific space–time conceptual mapping might allow for a proper signal interpretation. Instruments play then a central role as visualization mediators by yielding an image that matches specific perception abilities and practical purposes. Here I have identified two ways of understanding time as used in different trajectories through which students are located. Interestingly specific displaying instruments belonging to different cultural traditions incorporate contrasting time views. One of them sees time in terms of a dynamic metaphor consisting of a static observer looking at passing events. This is a general and widespread practice common in the contemporary mass culture, which lies behind the process of making sense to moving images usually visualized by means of movie shots. In contrast scientific culture favored another way of time conceptualization (static time metaphor) that historically fostered the construction of graphs and the incorporation of time-dependent functions, as represented on the Cartesian plane, into displaying instruments. Both types of cultures, scientific and mass, are considered highly technological in the sense that complex instruments, apparatus or machines participate in their visual practices

Developing novel explanatory models for electronics education

This paper explores how representations of technological concepts may be designed to help students with visual learning styles achieve successful comprehension in the field of electronics. The work accepts a wide definition of what is understood by the visualisation of a model in that it can take different external forms, but also include an internal representation in a person’s mind. We are of the opinion that to acquire scientific or technological knowledge there is a requirement for abstract models to exhibit particular features that complement the nature of their fields, and that their effectiveness is dependent on the context in question. This work reports on the development of experimental materials which are novel teaching aids in the context of electronics education. It proposes design principles based on congruent, schematised, symmetrical spatial metaphors of circuits incorporating interactivity by the use of gesture, scaffolding, learning by topological, analogical and conceptual resemblances. We conclude that qualitative methods may be employed with a significant measure of success even for a field such as electronics that is often considered to be difficult due to the necessity of abstract explanations

The Effect Of Different Written Task Instructions On Students’ Scores In A Physical And Virtual Environment

Electronic laboratory activities offer opportunities to help students learn about concepts and develop practical competencies in electronic circuit systems. Evidence in the literature suggests that the effectiveness of laboratory activities might be affected by the type of instructions provided (explicit or implicit), and the lab environment (physical or virtual) in which the activities were performed. This study investigated the effect of different written task instructions (explicit versus implicit) and lab environment (physical versus virtual) on students’ scores in an electronic circuit task. This study was a quantitative experiment that used a repeated measure factorial design to determine how the written instructions used in different environments affected students’ scores. Study results showed that there was no statistical significant difference in scores when students were presented with implicitly or explicitly written instructions. Similarly, results indicated no significant difference in scores when students used either physical or virtual environments. However, the computed effect size revealed that virtual environments might have a slightly higher effect on students’ scores. These results suggest that the type of written instructions presented and the lab environment used may not have significantly affected students’ scores