The professional engagement model of academic induction into on-line teaching

Current developments in tertiary education settings are resulting in a second wave of academics using on-line technologies in their teaching, providing universities with a considerable professional staff development challenge. The case study presented here illustrates one way of responding to this challenge. Overall, the literature suggests that professional development that is discipline-specific and located in a community-of-practice is more likely to be relevant and productive than a centralized, decontextualized approach. We propose an alternative hybrid model of 'professional engagement' for on-line teaching that attempts to build on existing discipline-specific workplace structures. This includes recruiting academic on-line teaching advisers for each school in the faculty, showcasing existing exemplary practice, and setting up 'professional engagement groups' with a support team. The main advantages of the model are its responsiveness to patterns of academic work and to the immediate needs of academics, the way it enhances the visibility of exemplars of academic work, its cost-effectiveness and scalability, and the complementarity of local and centralized support systems. Limitations include the time needed to build up such staff engagement, an apparent lack of visibility, and difficulty in measuring outcomes.     

Student Performance in Research Methods Classes: Assessing the Predictive Validity of the DRAMA Scale

A recent study appearing in this journal argued that student anxiety concerning research methods classes in criminology and criminal justice is characterized by three separate but related concepts: Disinterest, Relevance Argumentation, and Math Anxiety (DRAMA). The current study extends the previous work by presenting a modified version of the DRAMA scale and assessing its ability to predict student performance among a sample of students enrolled in an introductory research methods class at a university located in the southeastern United States. In support of the main hypothesis, the composite DRAMA scale was a significant, negative predictor of student grades. Subsequent analysis indicated that the effect of DRAMA was largely the result of the Math Anxiety subscale.     

Predicting Robust Learning With the Visual Form of the Moment-by-Moment Learning Curve

We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker, Goldstein, & Heffernan, 2010 Baker, R. S. J. d., Goldstein, A. B. and Heffernan, N. T. 2010. “Detecting the moment of learning”. In Proceedings of the 10th Annual Conference on Intelligent Tutoring Systems 25–34. In V. Aleven, J. Kay, & J. Mostow (Eds.),pp.Heidelberg, Germany: Springer.[Crossref] , [Google Scholar], 2011). Two coders labeled data from students who used an intelligent tutoring system for college genetics. They coded in terms of 7 forms that the moment-by-moment learning curve can take. These labels are correlated to test data on the robustness of students’ learning. We find that different visual forms are correlated with very different learning outcomes. This work suggests that analysis of moment-by-moment learning curves may be able to shed light on the implications of students’ different patterns of learning over time.     

A Framing Primer for Community College Leaders

The purpose of this article is to be a tool for community college leaders, as well as campus members, to positively and effectively utilize framing on their campuses. The fictional case of Maggie Pascal at Midwestern Community College illustrates the process of framing the change of a new partnership with Wind Energy Corporation to internal stakeholders on campus. This case illustrates the importance of understanding context and frames before the action of framing can be activated. A leader can then decide which type of framing to utilize (i.e., step-by-step, vision, or connective) and which language tools will be most effective in framing. The ways a practitioner operationalizes framing is through symbolism, talking, walking, and writing (Eddy, 2010a). This idea of framing is an important skill leaders can proactively develop to support their campuses through change processes to enhance the likelihood for a successful change outcome. Also, this may benefit other campus members who may have the opportunity to frame meaning for others or to be involved in making sense of a leader’s framing.     

Residual Structures in Latent Growth Curve Modeling

This article presents relevant research on Bayesian methods and their major applications to modeling in an effort to lay out differences between the frequentist and Bayesian paradigms and to look at the practical implications of these differences. Before research is reviewed, basic tenets and methods of the Bayesian approach to modeling are presented and contrasted with basic estimation results from a frequentist perspective. It is argued that Bayesian methods have become a viable alternative to traditional maximum likelihood-based estimation techniques and may be the only solution for more complex psychometric data structures. Hence, neither the applied nor the theoretical measurement community can afford to neglect the exciting new possibilities that have opened up on the psychometric horizon.     

Pedagogy in the multimodal classroom: an analysis of the challenges and opportunities for teachers

Contemporary commentary notes that students are frequently ahead of their teachers in their ability to manipulate and be creative with the internet, digital programs, and mobile technology. In this context it is important to ask, ‘What knowledge do teachers need to teach in the contemporary context where texts are elaborately multimodal, constructed not just of print but of image, sound, and movement?’ This paper proposes some signposts to assist teachers with navigating in this environment. Using teachers’ and researchers’ reflections on practices in a diverse range of settings, both primary and secondary, the analysis explicates the challenges that teachers face in this multimodal context and elucidates some ways they can effectively operate within it. In particular, it argues that it is teachers’ expertise as analysts and critics of texts that needs to guide their planning and teaching in this ‘new’ text world.