Implementing process-based instruction in regular university teaching: Conceptual,methodological and practical issues

This paper reports an experimental field study aimed at examining whether a process-oriented form of instruction (combining program planning and interactive teaching) which produced outstanding results when implemented by a tutor/researcher (see Volet, 1991) could be used successfully by regular university tutors given detailed guidelines but minimal training. A second aim of the study was to establish the respective contribution of the two sub-components of the instructional package. The results of the study were inconclusive and raise a number of conceptual, methodological and practical issues. As in the initial study, experimental students were more satisfied with their learning and for those who had the choice, more inclined to undertake further studies in computing but the intervention did not affect students’ achievement. The results of the study are discussed in relation to the earlier work, and suggestions are made for bridging the gap between educational research and educational practice in higher education.     

Explicitly Teaching Critical Thinking Skills in a History Course

Critical thinking skills are often assessed via student beliefs in non-scientific ways of thinking, (e.g, pseudoscience). Courses aimed at reducing such beliefs have been studied in the STEM fields with the most successful focusing on skeptical thinking. However, critical thinking is not unique to the sciences; it is crucial in the humanities and to historical thinking and analysis. We investigated the effects of a history course on epistemically unwarranted beliefs in two class sections. Beliefs were measured pre- and post-semester. Beliefs declined for history students compared to a control class and the effect was strongest for the honors section. This study provides evidence that a humanities education engenders critical thinking. Further, there may be individual differences in ability or preparedness in developing such skills, suggesting different foci for critical thinking coursework.     

Genetics with Jean: the design,development and evaluation of an affective tutoring system

This paper details the design, development and evaluation of an affective tutoring system (ATS)—an e-learning system that detects and responds to the emotional states of the learner. Research into the development of ATS is an active and relatively new field, with many studies demonstrating promising results. However, there is often no practical way to apply these findings in real-world settings. The ATS described in this paper utilizes a generic affective application model to infer and appropriately respond to the learner’s affective state. This approach brings several advantages, notably the potential direct support for re-use and retrospective addition of affect sensing functionality into existing e-learning software. Skin conductivity and heart rate variability measurements were used to infer affective activation and valence. The evaluation involved an experiment in which the effectiveness of the fully functional ATS was compared with that of a non-affective version, and was conducted with 40 adult participants. The evaluation of the effectiveness of this tutoring system showed that measurable improvements in perceived learning may be obtained with a modest level of software development.     

Using Exploratory Bifactor Analysis to Understand the Latent Structure of Multidimensional Psychological Measures: An Example Featuring the WISC-V

Exploratory bifactor analysis (EBFA) represents a methodological advancement for implementing a bifactor model in exploratory factor analysis (EFA). However, little is known about how to properly employ the procedure. The current rotation criteria available for EBFA make it more likely to “get stuck” in local minima, contributing to possible group factor collapse, than more traditional EFA rotations. Thus, getting a proper solution is a more complex and involved process than typical EFA and may require a sensitivity analysis. This article examines EBFA through a sensitivity analysis and subsequent simulation of parameters thought to contribute to group factor collapse. Results support the use of sensitivity analysis, as the problematic variable was shown to greatly increase the likelihood of factor collapse. The hypothesis that estimation start values contribute to factor collapse was not supported. Accompanying R syntax for all analyses are provided to facilitate reproducibility.     

Creating an information-rich learning environment to enhance design student learning: challenges and approaches

The use of technology with engineering design students is well established, with shared workspaces being particularly supportive of the collaborative design process. This paper reports on a study where a design knowledge framework involving three learning loops was used to analyse the effectiveness of shared workspaces and digital repositories in supporting design education. The issues discussed include the relationship between knowledge and information structures, the importance of integrating information literacy support, and the need for different systems within the learning environment to support formal and informal storage of resources. These issues are explored within the context of experiences of working in a multidisciplinary team with different approaches, research methodologies, and discourses.