Online Proctored Versus Unproctored Low-Stakes Internet Test Administration: Is There Differential Test-Taking Behavior and Performance?

Online higher education institutions are presented with the concern of how to obtain valid results when administering student learning outcomes (SLO) assessments remotely. Traditionally, there has been a great reliance on unproctored Internet test administration (UIT) due to increased flexibility and reduced costs; however, a number of validity concerns have led some researchers to question its implementation and results. To mitigate the limitations of UIT, a relatively new approach, referred to as online proctoring, has been developed to mirror in-person proctoring remotely by capitalizing on technology to create verifiable and secure testing conditions. This study evaluated the comparability of online proctored and unproctored test administration in a low-stakes testing context on user-friendliness, examinee behavior, and mean scores. Results demonstrated improved user-friendliness (e.g., ease of logging in); however, no significant differences were observed in terms of keystroke information, rapid guessing, or aggregated scores between proctoring conditions. Overall, these results suggest that online institutions can implement UIT, which is a cost-effective approach to test administration, and obtain valid group-level inferences from SLO assessments.     

The Long Decay Model of One-Dimensional Projectile Motion

This article introduces a research study on student model formation and development in introductory mechanics. As a point of entry, I present a detailed analysis of the Long Decay Model of one-dimensional projectile motion. This model has been articulated by Galileo (in De Motu) and by contemporary students. Implications for instruction are discussed.

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Overhyped Fad or Missed Opportunity? A History of Academic Libraries and the Social Web

The emergence of social media has radically transformed the way we create and consume information. These changes have in turn given rise to new models of librarianship centered on principles of participation, interaction, and collaboration. Over the last decade, academic libraries have eagerly adopted social media as a means of enhancing services and connecting with a new generation of users. But how exactly has this technology changed libraries? In what ways has the social web transformed library services or our relationships with users? This article attempts to assess the impact of social media on academic libraries in the United States through a review of the literature published since 2005. In particular, it looks at how academic libraries have used social media to improve or develop new services. By comparing published case studies with the theoretical literature, this article seeks to separate theory from practice and determine the extent to which the social web has transformed library practice. The author concludes that, despite several noteworthy examples, the majority of social library applications ultimately fail to live up to the transformative potential promised within the literature and that this failure may have more to do with philosophical rather than technical limitations.     

The Politics of Emotions in ELT: Structure of Feeling and Anxiety of Korean English Teachers

ABSTRACT

Using the notion of structure of feeling by Raymond Williams, this article seeks to illuminate an ideological understanding of Korean English teachers’ anxiety and deep sense of insecurity in English language teaching (ELT). Through a discussion of how their anxiety is grounded deeply within unequal social relations and how they reframe their anxiety through critical reflection on the cultural and ideological bias of their own anxiety, it points out the intricate relationship between ideology and emotion; teachers’ emotions are shaped by dominant ideologies that constitute the social structures constraining their position as teachers, while their engagement with those emotions also enables their self-transformation towards gaining confidence as teachers. The results of the study emphasise the tension between social structure and agency in teachers’ emotional experiences and discuss implications for teacher education and development.     

A teacher education program in elementary science that connects content,methods, practicum,and student teaching

Conclusion To educate teachers who have adequate content knowledge, possess the necessary skills to implement effective teaching strategies, and are confident and have positive attitudes toward science and the teaching of science, alternative teaching models are necessary. The University of Wyoming model provides such an alternative. Based on observations and interviews of students and the mentor teachers, it is apparent that it has created a very positive response in prospective teachers who have participated in it. The Wyoming model provided an effective process to train future elementary teachers. Even though it focused on science, the basis is general enough that it could be successfully extended to other disciplines with only minor modifications; however, all of the major components of the Wyoming model are vital to its success. Content courses designed specifically for prospective teachers have been successful in giving the students the content knowledge and providing opportunities for effective modeling. The seminars provide strong mechanisms to connect content to methodology and make the content relevant to teaching and to children. Because of their modeling, peer coaching, and sharing their time and students, the mentor teachers are essential partners in helping the university educate future teachers. Finally, the cooperation of all partners—district administrators, teachers, science content and science education university faculty, and students—is necessary to provide early and continuous experiences to prospective teachers. This material is based upon work supported in part by a grant from the National Science Foundation (Grant No. TTE-8851105). Any opinions, findings, conclusions, and/or recommendations expressed in this article are those of the authors and do not necessarily reflect those of the NSF.     

Foundational issues in evolution education

There is a great need for effective evolution education. This paper reviews some of the evidence that demonstrates that need and analyzes some of the foundational semantic, epistemological, and philosophical issues involved. This analysis is used to provide a functional understanding of the distinction between science and non-science. Special emphasis is placed the scientific meaning of the terms theory, hypothesis, fact, proof, evidence, and truth, focusing on the difference between religious belief and acceptance of a scientific theory. Science is viewed as theologically neutral and as not mutually exclusive from religion. Finally, a number of practical recommendations to the classroom biology teacher are presented.     

Parameter Estimation Accuracy of the Effort-Moderated Item Response Theory Model Under Multiple Assumption Violations

As low-stakes testing contexts increase, low test-taking effort may serve as a serious validity threat. One common solution to this problem is to identify noneffortful responses and treat them as missing during parameter estimation via the effort-moderated item response theory (EM-IRT) model. Although this model has been shown to outperform traditional IRT models (e.g., two-parameter logistic [2PL]) in parameter estimation under simulated conditions, prior research has failed to examine its performance under violations to the model’s assumptions. Therefore, the objective of this simulation study was to examine item and mean ability parameter recovery when violating the assumptions that noneffortful responding occurs randomly (Assumption 1) and is unrelated to the underlying ability of examinees (Assumption 2). Results demonstrated that, across conditions, the EM-IRT model provided robust item parameter estimates to violations of Assumption 1. However, bias values greater than 0.20 SDs were observed for the EM-IRT model when violating Assumption 2; nonetheless, these values were still lower than the 2PL model. In terms of mean ability estimates, model results indicated equal performance between the EM-IRT and 2PL models across conditions. Across both models, mean ability estimates were found to be biased by more than 0.25 SDs when violating Assumption 2. However, our accompanying empirical study suggested that this biasing occurred under extreme conditions that may not be present in some operational settings. Overall, these results suggest that the EM-IRT model provides superior item and equal mean ability parameter estimates in the presence of model violations under realistic conditions when compared with the 2PL model.