scholarly journals The Effect of Small Group Tutors on Student Engagement in the Computer Laboratory Lecture

Author(s):  
Frances Shiely ◽  
Marian McCarthy

Background: Student engagement is widely recognised as being influential on learning and achievement in higher education. What is less clear is how the knowledge transfers, i.e., the process of engagement by the student with any new forms of teaching demonstrated by the teacher. Aim: To investigate the effect of small group tutors on student engagement in the computer laboratory lecture. Methods: Participants were undergraduate, second year BSc Public Health students taking the Health Information Systems II module. Teaching consisted of 12 x 2-hour face-to-to face classes. Tutors were assigned to groups of 6/7 students from weeks 5-12. Quantitative data from the Irish Survey of Student Engagement was collected in week 12 and analysed using the Statistical Package for the Social Sciences. Qualitative data from a 1-minute pre-and post-module CAT, tutor post lesson appraisals and two focus groups (one student and one tutor group, respectively) were analysed thematically. Findings: This study provided evidence that student engagement and learning was indeed enhanced by the addition of small group tutors in the computer laboratory lecture. In addition, students’ attitude to engaging with their programme of study improved and their positivity towards learning increased as the term progressed. Furthermore, there was evidence of an improved student experience and improved personal development that was highly valued by the students.

2010 ◽  
Vol 7 (1) ◽  
pp. 97-110
Author(s):  
Kristyn E. Harman ◽  

Individual oral tutorial presentations have been utilised in numerous undergraduate courses to develop and assess students’ skills in organising and communicating ideas and information to a select audience. However, evidence from the literature, interviews with academics (n=5), and the author’s own experiences have demonstrated that these presentations have been plagued with issues ranging from poor quality presentations to non-attendance on the part of students and boredom for both academics and undergraduates alike. This article highlights these issues, then details a variety of successful ways in which academics have innovated to improve the level of student engagement and facilitate a higher achievement of learning outcomes. Some of these innovations pertain to individual presentations, yet interview data gathered indicated a strong trend towards replacing these with small group and whole group exercises, models for which are also explicated in this article. These models have been drawn from the Social Sciences and Humanities and provide templates that may be adapted for use in a range of different contexts. The resultant improvements in co-ordinating undergraduate students’ tutorial presentations may contribute towards a more satisfying experience for lecturers, tutors, and students, and improved learning outcomes.


Author(s):  
Jean-Frédéric Morin ◽  
Christian Olsson ◽  
Ece Özlem Atikcan

This chapter evaluates thematic analysis (TA), which is one of the oldest and most widely used qualitative analytic method across the social sciences. TA is a flexible method for identifying and analysing patterns of meaning — ‘themes’ — in qualitative data, with wide-ranging applications. The method has a long, if indeterminate, history in the social sciences, but seems likely to have evolved from early forms of (qualitative) content analysis. TA is now more likely to be demarcated and acknowledged as a distinct method; however, confusion remains about what TA is. The popularity of TA as a distinct method received a considerable boost from the publication of Using Thematic Analysis in Psychology by social psychologists Virginia Braun and Victoria Clarke in 2006, which has become one of the most cited academic papers of recent decades.


2017 ◽  
Vol 10 (2) ◽  
pp. 205979911770311 ◽  
Author(s):  
Reginald Deschepper ◽  
Stefaan Six ◽  
Nicole Vandeweghe ◽  
Marijke De Couck ◽  
Yori Gidron ◽  
...  

Today, more and more problems that scientists need to tackle are complex problems. Many examples of these can be found in the health sciences, medicine and ecology. Typical features of complex problems are that they cannot be studied by one discipline and that they need to take into account subjective data as well as objective data. Two promising responses to deal with complex problems are Transdisciplinary and Mixed Method approaches. However, there is still a lacuna to fill, with transdisciplinary studies bridging the social sciences and biomedical sciences. More specifically, we need more and better studies that combine qualitative data about subjective experiences, perception and so on with objective, quantitative, neurophysiological data. We believe that the combination of qualitative and neurophysiological data is a good example of what we would like to call transdisciplinary mixed methods. In this article, we aim to explore the opportunities of transdisciplinary mixed-methods studies in which qualitative and neurophysiological data are used. We give a brief overview of what is characteristic for this kind of studies and illustrate this with examples; we point out strengths and limitations and propose an agenda for the future. We conclude that transdisciplinary mixed-methods studies in which qualitative and neurophysiological data are used have the potential to improve our knowledge about complex problems. A main obstacle seems to be that most scientists from the biomedical sciences are not familiar with the (qualitative) methods from the social sciences and vice versa. To end this ‘clash of paradigms’™, we urgently need to cultivate transdisciplinary thinking.


2010 ◽  
Vol 3 (1) ◽  
pp. 104-127
Author(s):  
Maryam Rutner

AbstractThis survey examines the content and purpose of the political science discipline in respect to seven prominent universities in Iran and its significance for the Iranian society. It is based on quantitative and qualitative data including personal interviews and survey results, as well as theses conducted by political science students, academic articles written by scholars in the field, and university curricula. The survey suggests that Iranian political science after the 1979 revolution addresses contemporary political problems and challenges related to Iran only to a limited extent, and is predominantly theoretical and “borrowed” in nature, despite the goal during the Cultural Revolution to indigenize and Islamicize the social sciences.


Communication ◽  
2017 ◽  
Author(s):  
Kim Hoffman ◽  
Javier Ponce-Terashima

Focus groups are a research method using multi-person interviews to generate qualitative data from participants’ interaction. The purpose is to induce conversation between participants to answer questions relevant to the study goals. In contrast to one-on-one interviews that are also widely used in qualitative research, the source of the data is in the “interaction” between participants, including similarities and differences between their experiences, opinions, and perceptions. This helps researchers understand not just what the participants think about a topic, but also why they think that way. Focus groups can cover a wide range of topics that are skillfully “moderated” by the researcher. The earliest known focus groups can be traced to Bogardus in 1926 and Robert Merton and Paul Lazarsfeld in 1941 but did not take hold as a qualitative method in the social sciences for another twenty-five years. Since then, a significant body of knowledge has been created; since the late 20th century, more than twenty-five thousand peer-reviewed, published articles using focus groups have been published. This article will focus on uses within the realm of published scholarly research although focus groups are routinely used within the field of market and consumer research, and additional gray literature may be found in other sources.


2015 ◽  
Vol 59 (3) ◽  
pp. 3-30
Author(s):  
Piotr Filipkowski

This article discusses the theoretical and methodological arguments for the archivization of qualitative data in the social sciences, particularly sociology. These arguments are preceded by the presentation of selected research and documentary undertakings (including film) that consist in a return to specific persons and places (or data) after an interval of some years by the same researchers or their successors. Ethnographic revisits are a specific kind of such return. The author reviews and systematizes revisitations in the conviction that the theoretical tools and methodological approaches that have been worked out there—with the characteristic autoreflexiveness of contemporary anthropology—can be used at least in part in new qualitative analyses of sociological data in archives, including the Qualitative Data Archive of the Polish Academy of Sciences’ Institute of Philosophy and Sociology.


Author(s):  
Deepti Shinde

A leader may try various approaches to lead and manage an organization that helps to formulate strategy, adopt the positive direction and motivation, and above all lead to subordinate wellbeing. In the current study, an attempt is made to study the impact of the authentic leadership of the leaders on the subordinate wellbeing. The current study adopted a survey method to test the hypotheses. Authentic Leadership was measured by a 16-item scale developed by Avolio, Gardner and Walumbwa (2007). General Wellbeing was measured by a 19-item scale developed by Dupuy (1970). The data were collected from a sample of 315 respondents from the organization of the Petroleum Industry. Statistical Package for the Social Sciences (SPSS) version 20 was used to assist both quantitative and qualitative data analysis and maintained the transparency and credibility of the research. The results revealed the significant correlation between the authentic leadership of the leaders and subordinate wellbeing in the Petroleum Industry.


KWALON ◽  
2012 ◽  
Vol 17 (3) ◽  
Author(s):  
Stefan Verweij ◽  
Lasse M. Gerrits

Systematic Qualitative Comparative Analysis Systematic Qualitative Comparative Analysis Qualitative Comparative Analysis (QCA) was introduced in the social sciences by Charles Ragin in 1987. Literature on and applications of QCA show the method as a way to systematically organize, summarize and compare qualitative data to discover and analyze patterns occurring over cases. Although the literature stresses the importance of iterating between theory and data in its procedures, its grounded nature remains relatively underexposed. In this article we illustrate the principles of QCA by means of a qualitative comparative analysis of fourteen Dutch spatial planning projects, thereby also articulating the method’s grounded nature.


2020 ◽  
Vol 46 ◽  
pp. 4-7
Author(s):  
Editorial Board ◽  
Andressa Liegi Vieira Costa ◽  
Max Steuer

This Editorial Note contains a summary of the IAPSS Politikon webinar on 'Research and Education in Times of Pandemic' that focused on elucidation of online qualitative data collection methods and online education via using Massive Open Online Courses (MOOCs). It also announces the acceptance of the journal to ERIH PLUS database for the social sciences and humanities. 


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