Linking teaching and research in an undergraduate course and exploring student learning experiences

ABSTRACT

In this case study, we first describe how teaching and research are linked in a master’s course on tissue engineering. A central component of the course is an authentic research project that the students carry out in smaller groups and in collaboration with faculty. We then explore how the students experience learning in this kind of discovery-oriented environment. Data were collected through a survey, reflective writing, and interviews. Using a general inductive approach for qualitative analysis, we identified three themes related to the students’ learning experiences: learning to navigate the field, learning to do real research, and learning to work with others. Overall, the students strongly valued learning in a discovery-oriented environment and three aspects of the course contributed to much of its success: taking a holistic approach to linking teaching and research, engaging students in the whole inquiry process, and situating authentic problems in an authentic physical and social context.     

Effective usage of learning analytics: what do practitioners want and where should distance learning institutions be going?

ABSTRACT

The implementation of learning analytics may empower distance learning institutions to provide real-time feedback to students and teachers. Given the leading role of the Open University UK (OU) in research and application of learning analytics, this study aims to share the lessons learned from the experiences of 42 participants from a range of faculty, academic and professional positions, and expertise with learning analytics. Furthermore, we explored where distance learning institutions should be going next in terms of learning analytics adoption. The findings from the Learning Analytics User Stories (LAUS) workshop indicated four key areas where more work is needed: communication, personalisation, integrated design, and development of an evidence-base. The workshop outputs signalled the aspiration for an integrated analytics system transcending the entire student experience, from initial student inquiry right through to qualification completion and into life-long learning. We hope that our study will spark discussion on whether (or not) distance learning institutions should pursue the dream of an integrated, personalised, and evidence-based learning analytics system that clearly communicates useful feedback to staff and students, or whether this will become an Orwellian nightmare.     

The effect of subadditive pretraining on blocking: limits on generalization

Recent evidence indicates that prior learning about a set of cues may determine how new cues are processed. If subjects are taught that two reliable predictors of an outcome do not summate when the cues are presented together (i.e., subadditive pretraining), the subjects will tend to show a less profound blocking effect when trained with different cues. Three experiments investigated the conditions necessary for subadditive pretraining to generalize to new cues. Experiment 1 demonstrated that subadditive pretraining is less effective in reducing blocking when it is experienced in a context other than that in which the blocking training is experienced. In Experiment 2, the effectiveness of subadditive pretraining waned with time. Experiment 3 showed that subadditive pretraining is more effective when the temporal characteristics of pretraining cues are similar to those of the cues used in blocking training. These results provide information concerning the conditions under which learning will generalize from one set of cues to another.     

The interplay between subjective abilities and subjective demands and its relationship with academic success. An application of the person–environment fit theory

In this study, we draw on person–environment fit theory to analyze whether academic success is best explained by individual abilities subjectively exceeding situational demands or by abilities matching the demands. Moreover, we disentangled effects of perceived abilities and subjective person–environment (P-E) fit on academic success. All in all, 693 teacher education students participated in an online questionnaire. Students were asked to rate general requirements of their academic programs (e.g., self-discipline) on a 5-point scale in terms of (1) their own abilities and (2) the perceived relevance for their studies. P-E fit was determined by difference scores between abilities and relevance ratings. Academic success was assessed by grades, perceived performance, and study satisfaction. Data were analyzed through structural equation modeling and suggest that academic success is best explained by a match between abilities and demands. Moreover, all three criteria for academic success were more strongly related to subjective fit than to subjective abilities.     

Reviews of research on the attitude–behavior relationship and their implications for future environmental education research

Since the early days of the field, attitude–behavior (A–B) relationships have received sustained attention in the evaluation and researching of environmental education (EE). This level of interest extends beyond the field’s scope though, in part due to a certain reliance on theoretical and empirical assertions which claim that attitudes serve as a strong precursor and/or predictor of behavior. In this paper, we consider reviews of studies on the A–B relationship in EE and other fields that routinely challenge such assumptions, leading to the questioning of corresponding foci and commitments for research, evaluation, practice, and development. With key findings from these studies hand, we highlight several insights that may be useful for dispelling some of the folklore about what matters in, and what can be argued with, A–B studies, if we are to develop the design, conduct, reporting, and critique of studies and practices of EE reliant on such relationships.     

Political conversations on Twitter in a disruptive scenario: The role of “party evangelists” during the 2015 Spanish general elections

During election campaigns, candidates, parties, and media share their relevance on Twitter with a group of especially active users, aligned with a particular party. This paper introduces the profile of “party evangelists,” and explores the activity and effects these users had on the general political conversation during the 2015 Spanish general election. On that occasion, the electoral expectations were uncertain for the two major parties (PP and PSOE) because of the rise of two emerging parties that were disrupting the political status quo (Podemos and Ciudadanos). This was an ideal situation to assess the differences between the evangelists of established and emerging parties. The paper evaluates two aspects of the political conversation based on a corpus of 8.9 million tweets: the retweeting effectiveness, and the sentiment analysis of the overall conversation. We found that one of the emerging party’s evangelists dominated message dissemination to a much greater extent.     

Creating the first MedlinePlus "Go Local" service: lessons and recommendations from the evaluation of NC Health Info

NC Health Info is an online collection of North Carolina based health services Web sites that seamlessly links local health resources to topical health information on MedlinePlus, the National Library of Medicine's consumer health information Web site. NC Health Info was the first project to connect local resources with MedlinePlus in the "Go Local" initiative. As such, NC Health Info serves as a model for other states to follow in connecting their own local information with Medline- Plus. This paper describes the processes used and lessons learned during a year-long evaluation of NC Health Info. Evaluation results may be of interest and applicable to any existing or planned "Go Local" project.     

Effects of instructional objectives on learning and retention

A synthesis is presented of the various rationales which predict the facilitative influence of instructional objectives on learning and retention. Facets which are particularly relevant to the analysis of instructional objectives in learning situations include the dimensional character of attending behavior, the optimal degree of specificity to be incorporated in specifying instructional outcomes, effects of the placement or position of objectives during instruction, and a discussion of investigations concerned with an incidental or unspecified learning criterion. The conclusion is that, on each of these issues, various instructional conditions determine the efficacy of utilizing objectives to promote learning and retention.