The Role of Threshold Concepts in an Interdisciplinary Curriculum: a Case Study in Neuroscience

Threshold concepts have been widely utilized to understand learning in academic disciplines and student experiences in a disciplinary curriculum. This study considered how threshold concepts might operate within an interdisciplinary setting. Data were collected through interviews with 40 doctoral students enrolled in an interdisciplinary program as well as content analysis of interdisciplinary curricula. The findings emphasize the importance of the integrative process to interdisciplinary initiatives. Interdisciplinary threshold concepts do not result from the addition of multiple disciplines, but rather are fostered through unique facets of the interdisciplinary experience.     

Mimetic desire and intersubjectivity in disciplinary cultures: constraints or enablers to learning in higher education?

The interplay of the inner lives (intersubjectivity) of students and academics within a range of disciplinary cultural manifestations is a key element in the generation of student learning. This article suggests that research on student learning has yet to adequately articulate how this interplay occurs, suggesting that a focus on the influence of just one or two disciplinary cultural manifestations gives a partial image of how students become oriented toward or away from learning in higher education. Using a method that synthesizes the literature on organizational cultures, humanities cultural theory, cultural linguistic theory, and philosophical approaches to intersubjectivity, it identifies a framework for understanding the core conditions of learning within the disciplines that is complementary to psychological and phenomenological research on student learning. As an outcome of this exercise, this paper suggests that students' orientations are initiated within the intersubjective relationships that they encounter and that these relationships play out through the contradictions that exist between the full range of disciplinary manifestations. It closes by suggesting that how students interact with the paradoxes of the disciplinary environment is key to enabling them to manage the tension between their immediate subject study needs and broader learning patterns for their post-graduation lives.     

Development,Implementation, and Outcomes of an Equitable Computer Science After-School Program: Findings From Middle-School Students

Current policy efforts that seek to improve learning in science, technology, engineering, and mathematics (STEM) emphasize the importance of helping all students acquire concepts and tools from computer science that help them analyze and develop solutions to everyday problems. These goals have been generally described in the literature under the term computational thinking. In this article, we report on the design, implementation, and outcomes of an after-school program on computational thinking. The program was founded through a partnership between university faculty, undergraduates, teachers, and students. Specifically, we examine how equitable pedagogical practices can be applied in the design of computing programs and the ways in which participation in such programs influence middle school students' learning of computer science concepts, computational practices, and attitudes toward computing. Participants included 52 middle school students who voluntarily attended the 9-week after-school program, as well as four undergraduates and one teacher who designed and implemented the program. Data were collected from after-school program observations, undergraduate reflections, computer science content assessments, programming products, and attitude surveys. The results indicate that the program positively influenced student learning of computer science concepts and attitudes toward computing. Findings have implications for the design of effective learning experiences that broaden participation in computing. (Keywords: computational thinking, programming, middle school, mixed methods)     

Disciplinary Differences in Student Ratings of Teaching Quality

Comparisons of large samples of course and teaching evaluation questionnaire data show consistent disciplinary differences. The current study examined the disciplinary differences in a theoretical model positing the impact of the perceived nature of teaching and learning environment on the development of generic capabilities by testing of (1) whether a common model of good teaching operated across disciplines and (2) the extent of deployment of teaching variables and their impact on learning outcomes. The sample consisted of 3,305 first and third year Chinese undergraduates of a university in Hong Kong, divided into four broad disciplinary groupings. Multiple-group structural equation modelling analysis showed configural invariance of the hypothesised model, suggesting a common model of good teaching across disciplines; and significant differences in the magnitude of structural paths and latent mean values across the four disciplinary groups were obtained reflecting differences between disciplines in the extent to which elements within the teaching and learning environment were brought into play. Possible reasons in terms of the epistemological nature of the disciplines were given to explain for the disciplinary variations.     

A Study of Disciplinary, Structural, and Behavioral Effects on Course Outcomes in Online MBA Courses

This article reports the results of a 2‐year study examining the effects of subject matter, course structure, and participant behaviors on students' perceived learning and satisfaction with delivery medium in Web‐based courses of an MBA program in the midwestern United States. Using finance as the referent discipline, we found statistically significant differences in the mean course outcomes (students' perceived learning and satisfaction with delivery medium) associated with 13 business disciplines. Although most of these disciplinary differences ceased to be significant predictors of student perceived learning as structural and behavioral characteristics were incorporated into the model, these differences remained significant predictors of perceived delivery medium satisfaction. We also found that some structural and behavioral characteristics were significant predictors of course outcomes, but in opposite directions. For instance, media variety was a positive predictor of delivery medium satisfaction but a negative predictor of perceived learning, while learner–learner interaction positively predicted perceived learning but negatively predicted delivery medium satisfaction. These findings suggest that instructors of online graduate courses must manage trade‐offs in balancing students' learning with their perceptions of the internet as a course delivery medium.     

“So,we kind of started from scratch,no pun intended”: What can students learn from designing games?

Much research attention has been focused on learning through game playing. However, very little has been focused on student learning through game making, especially in science. Moreover, none of the studies on learning through making games has presented an account of how students engage in the process of game design in real time. The present study seeks to address that gap. We report an exploratory embedded case study in which three groups of students in one classroom created a computer game designed to teach peers about climate science, while drawing on scientific knowledge, principles of game design, and computational thinking practices. Data sources were student design sheets, computer video, and audio screen capture while students created their game, and interviews after completing the curriculum unit. A theme-driven framework was used to code the data. A curricular emphasis on systems across climate systems, game design, and computational thinking practices provided a context designed to synergistically supported student learning. This embedded case study provides a rich example of what a collaborative game design task in a constructionist context looks like in a middle school science classroom, and how it supports student learning. Game design in a constructionist learning environment that emphasized learning through building a game allowed students to choose their pathways through the learning experience and resulted in learning for all despite various levels of programming experience. Our findings suggest that game design may be a promising context for supporting student learning in STEM disciplines.     

Theoretical Value Belief, Cognitive Ability, and Personality as Predictors of Student Performance in Object-Oriented Programming Environments

The research described in this article reports the results of a study designed to evaluate the relationship among object‐oriented (OO) computer programming task performance and a student's (1) theoretical value belief, (2) cognitive ability, and (3) personality. The results of this study do not support the assertion that cognitive ability is a main determinant of performance. Rather, the findings suggest that characteristics of an individual nature have more effect on a student's performance. This supports our belief advanced herein that theoretical value belief and personality are significant predictors of computer programming performance in OO environments. From the findings of this study, we assert that academicians who must teach OO computer programming consider these factors when developing course materials or student assistance programs.     

A skills development framework for learning computing tools in the context of engineering practice

Informatics is a first-year subject in the new Bachelor of Engineering/Graduate Diploma in Engineering Practice degree at the University of Technology, Sydney. All undergraduate engineering students must do this subject irrespective of their intended engineering discipline (civil, mechanical, environmental systems, electrical, telecommunications, computer systems). The focus of this subject is to introduce students to computational tools (such as spreadsheets and programming languages) and information retrieval tools (such as the World Wide Web), which support engineering, as well as looking at the effective and professional use of these tools. Informatics has three core elements: the development of specific skills which will assist students in both their studies and their professional practice; the development of an ability to continue to develop further skills independently; and consideration of a wide variety of issues related to the computational tools that the students are using. Examples of the issues covered include: privacy; accuracy of content; fraud; security; the professional and ethical responsibility of engineers for the results of their calculations; selecting the best tool for the job; and limitations of computational tools. This paper will review the activities and challenges the students faced, describe the approaches that we adopted and the various issues we raised, the expected and actual outcomes arising from the activities, and our plans for the future of the subject.     

Examination of the Effects of Dimensionality on Cognitive Processing in Science: A Computational Modeling Experiment Comparing Online Laboratory Simulations and Serious Educational Games

Within the last 10 years, new tools for assisting in the teaching and learning of academic skills and content within the context of science have arisen. These new tools include multiple types of computer software and hardware to include (video) games. The purpose of this study was to examine and compare the effect of computer learning games in the form of three-dimensional serious educational games, two-dimensional online laboratories, and traditional lecture-based instruction in the context of student content learning in science. In particular, this study examines the impact of dimensionality, or the ability to move along the X-, Y-, and Z-axis in the games. Study subjects (N = 551) were randomly selected using a stratified sampling technique. Independent strata subsamples were developed based upon the conditions of serious educational games, online laboratories, and lecture. The study also computationally models a potential mechanism of action and compares two- and three-dimensional learning environments. F test results suggest a significant difference for the main effect of condition across the factor of content gain score with large effect. Overall, comparisons using computational models suggest that three-dimensional serious educational games increase the level of success in learning as measured with content examinations through greater recruitment and attributional retraining of cognitive systems. The study supports assertions in the literature that the use of games in higher dimensions (i.e., three-dimensional versus two-dimensional) helps to increase student understanding of science concepts.     

What lies beneath: exploring the deeper purposes of feedback on student writing through considering disciplinary knowledge and knowers

Feedback plays an integral role in students’ learning and development, as it is often the only personal communication that students have with tutors or lecturers about their own work. Yet, in spite of its integral role in student learning, there is disagreement between how students and tutors or lecturers perceive the pedagogic purpose of feedback. Central to this disagreement is the role that feedback has to play in ensuring that students produce the ‘right’ kinds of knowledge, and become the ‘right’ kinds of knowers within their disciplines. This paper argues that, in order to find common ground between students and tutors or lecturers on what feedback is for, and how to both give and use it effectively, we need to conceptualise disciplinary knowledge and knowers anew. We offer, as a useful starting point, the Specialisation dimension of Legitimation Code Theory as both practical theory and methodological tool for exploring knowledge and knowers in English Studies and Law as two illustrative cases. The paper concludes that this analysis offers lecturers and tutors a fresh understanding of the disciplinary knowledge and knower structures they work within and, relatedly, a clearer view of the work their feedback needs to do within these.     

高职院校C语言教学改革探索

随着计算机技术深入到社会生活的各个层面,C语言已经成为大部分高职院校首选的计算机语言课程。为提高该课程教学效果,要针对高职学生的特点:激发学生学习兴趣,引导学生入门;深化教学改革,多措并举;重视实践环节,提高学生编程能力。使学生初步形成程序设计的思想,以便在今后的工作中,提高分析问题和解决问题的能力。     

The impact of the medium of instruction: The case of teaching and learning of computer programming

Despite the seemingly good prospects in the Information Technology (IT) industry, the expected number of students who are interested in the relevant subjects has been limited. While numerous studies have explored the influence of various variables on programming course participation and performance at a personal level, there have been few studies conducted at a policy level. This study examined the impact of the medium of instruction (MOI) on student learning of computer programming in Hong Kong. It also examined the effects of gender and prior academic ability on programming performance. No gender differences in programming performance were found in the sample after prior academic ability was controlled. Prior academic ability affected performance differentially. Chinese-medium instructed students tended to outperform their English-medium instructed counterparts and middle and low-ability students in English-medium schools were notably at-risk. In view of these results, we argue that the MOI issue is further complicated by student ability. This provides a new understanding of the impact of the MOI on student learning. At a policy level, the results offer empirical evidence for policy-makers to rethink the current MOI policy. At a school level, we propose some metacognitive and cognitive strategies to address the needs of those at-risk learners. Finally, we intend to raise a series of questions that warrant further discussion and investigation.     

Using learning analytics in the Amazonas: understanding students’ behaviour in introductory programming

Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students’ performance and behaviours, often due to data availability or inadequate granularity. To address this problem, we propose an Online Judge called CodeBench, which allows for fine-grained data collection of student interactions, at the level of, eg, keystrokes, number of submissions, and grades. We deployed CodeBench for 3 years (2016–18) and collected data from 2058 students from 16 introductory computer science (CS1) courses, on which we have carried out fine-grained learning analytics, towards early detection of effective/ineffective behaviours regarding learning CS concepts. Results extract clear behavioural classes of CS1 students, significantly differentiated both semantically and statistically, enabling us to better explain how student behaviours during programming have influenced learning outcomes. Finally, we also identify behaviours that can guide novice students to improve their learning performance, which can be used for interventions. We believe this work is a step forward towards enhancing Online Judges and helping teachers and students improve their CS1 teaching/learning practices.     

How Community College Faculty Members May Improve Student Learning Productivity in Their Online Courses

Eleven experienced community college faculty members were interviewed to elicit examples of how they improved student learning productivity in their online courses. The 11 faculty members represented eight different states, nine different fields or disciplines, and all were permanent or full-time faculty members at community colleges in the southern or western states. Based on a thematic analysis of the examples given, improvement in student learning occurred by (a) emphasizing seven approaches to increase student engagement, (b) using six different structuring tactics to focus student attention on learning, (c) using assessment techniques to improve learning, and (d) pursuing a personal passion for online teaching. These findings suggest that faculty can and do find ways to use different tools in different ways to improve student learning productivity in community colleges.     

Exploring the effects of gender and learning styles on computer programming performance: implications for programming pedagogy

Computer programming has been taught in secondary schools for more than two decades. However, little is known about how students learn to program. From the curriculum implementation perspectives, learning style helps address the issue of learner differences, resulting in a shift from a teacher-centred approach to a learner-focused approach. This study aims to investigate the effects of gender and learning styles on computer programming performance. The Gregorc Style Delineator (GSD) was employed to measure learning styles. A test was administered to assess students' programming performance. Two hundred and seventeen secondary school students of age from 14 to 19 participated in this study. Results indicated that no gender differences in programming performance were found after controlling for the effect of student ability. Academic ability had a differential effect on programming knowledge. Sequential learners in general performed better than random learners. These results suggest the importance of the ordering dimension of the GSD in influencing programming performance. Implications of the findings in relation to programming pedagogy are discussed in this paper.     

Exploring the Promises and Perils of Integrated STEM Through Disciplinary Practices and Epistemologies

Growing interest in integrated science, technology, engineering, and mathematics (iSTEM) education has been promoted as one way to increase innovation capacity, support future employment, and enhance learning outcomes in K-12 education throughout the USA. Existing efforts to construct iSTEM curricula have largely focused on finding points of integration among commonly shared disciplinary practices, but these efforts have not explicitly accounted for the distinct epistemologies of the disciplines. In this study, we critically examined the concept of iSTEM by conducting a thematic analysis of K-12 STEM learning standards documents to identify cross-cutting themes among the practices of the various disciplines. We then analyzed these themes using disciplinary epistemologies in order to highlight some promises and perils of an integrated approach to STEM education. We identified eight cross-cutting themes: communicating, investigating, modeling, using tools, working with data, making sense of problems or phenomena, solving problems, and evaluating ideas or solutions. Through our analysis of practices and epistemologies, we discuss the promises of iSTEM, including fewer learning standards, enhanced epistemic fluency, increased diversity and inclusion in STEM, and opportunities to challenge settled and siloed disciplinary knowledge. We also discuss potential perils, which consist of conflation and/or exclusion of various STEM practices and epistemologies. We urge continued examination of iSTEM with an eye toward the epistemic implications.

     

Students’ conceptions of good teaching in three different disciplines

This paper explores students’ conceptions of good teaching in three different disciplines. Moreover, the aim is to explore the relation between these conceptions and students’ approaches to learning by combining qualitative and quantitative methods. A total of 695 students from the Faculties of Behavioural Sciences, Law and Veterinary Medicine participated in the study. The students’ conceptions of good teaching were analysed using a qualitative content analysis. Furthermore, the students were assigned to homogenous subgroups on the basis of their responses to items measuring approaches to learning and the differences between these subgroups and the students’ conceptions were examined. The association between the conceptions, disciplines and approaches to learning were examined using Chi‐square tests. Twenty‐one dimensions were created from the data and 12 of them differed between the disciplines. Only one dimension differed between the student groups. The study suggests that there is disciplinary variation in students’ conceptions of good teaching and universities should take this into account in the development process of the student evaluation system.