Conducting a Micro-Evaluation in an EFL Classroom for a Performance-Assisted Learning Activity

2021 ◽  
Vol 9 (1) ◽  
pp. 44-64
Author(s):  
Marcus Theobald
Keyword(s):  
Creative Writing ◽  
Qualitative Data ◽  
Peer Assessment ◽  
Learning Activity ◽  
Individual Student ◽  
Data Sets ◽  
University Teachers ◽  
Pal Activity ◽  
Student Journals ◽  
Writing Task

Performance–assisted learning (PAL) was introduced at the 2017 annual Japanese Association for Language Teaching (JALT) conference. It was revealed to be a “new concept in education” and that EFL university teachers were “extremely excited about its efficacy and power to motivate” (Head et al., 2018, p. 233). However, it was claimed that in many institutions, English department administrators did not share the same enthusiasm, seeing PAL activities as not academic enough. This study aims to gather a variety of qualitative data to validate the use of PAL. Over 5 weeks, a micro-evaluation involving a number of data sets was conducted on two university classes, containing 46 students in total, for a PAL activity (in this case, a four-page skit). The evaluations were individual student journals, peer-assessment, creative writing, teacher observation, and a video. The study describes the 5-week project procedure, and aims to provide more comprehensive evidence to support the use of PAL in the EFL classroom. Findings indicate very positive student engagement in the project, and a need to give more explicit instruction to students for the creative writing task.

Assessment of Individual Student Performance in Online Team Projects

2011 ◽  
Vol 15 (3) ◽  
Author(s):  
Jay Alden
Keyword(s):  
Student Performance ◽  
Group Process ◽  
Online Courses ◽  
Peer Assessment ◽  
Individual Student ◽  
Assessment Practice ◽  
Group Project ◽  
Team Members ◽  
Team Projects

The use of team projects has been shown to be beneficial in higher education. There is also general agreement that team efforts should be assessed and that the grading ought to represent both (1) the quality of the product developed jointly by the team as well as (2) the degree of participation and quality of contribution by each individual student involved in the group process. The latter grading requirement has posed a challenge to faculty so the question addressed in this paper is “How should individual team members in online courses be assessed for the extent and quality of their contributions to the group project?” To answer this question, four common team member evaluation practices were reviewed and compared to seven criteria representing positive attributes of an assessment practice in an online learning environment. Whereas the Peer Assessment practice received the greatest support in the literature in face-to-face courses, this study that considered the perceptions of graduate faculty and students recommended the Faculty Review practice as the default assessment

scholarly journals Social and personal orientation of learning activity as the basis for students’ professional development

2021 ◽  
Vol 7 (Extra-A) ◽  
pp. 141-147
Author(s):  
Elena L. Mitsan ◽  
Elena A. Ovsyannikova ◽  
Irina V. Samarokova ◽  
Svetlana V. Kharitonova ◽  
Alexey G. Ivanov ◽  
...  
Keyword(s):  
Higher Education ◽  
Professional Development ◽  
Higher Learning ◽  
Learning Activity ◽  
Professional Orientation ◽  
University Teachers ◽  
Individual Consideration ◽  
The Subject ◽  
Personal Orientation ◽  
Development Of Students

The present article discusses the problem of development of students’ professional orientation. The article presents an author’s complex of pedagogical conditions that facilitate students’ professional development in institution of higher learning. The complex embraces the following: revelation and formation of students’ values; creation of an educational environment in an institute of higher education that promotes self-realization of an individual; consideration of the subject experience of students; development of pedagogical abilities of future teachers; development of professional skills of university teachers as the basis for formation of professional orientation. Moreover, the article describes the results of experimental work which has confirmed the effectiveness of the developed complex of pedagogical conditions that ensure the development of students’ professional orientation in an institute of higher education based on personality orientation of academic work.

scholarly journals Using Learning Analytics to Assess Student Learning in Online Courses

2016 ◽  
Vol 13 (3) ◽  
pp. 110-130 ◽  
Author(s):  
Florence Martin ◽  
◽  
Abdou Ndoye ◽  
Keyword(s):  
Learning Analytics ◽  
Data Analytics ◽  
Qualitative Data ◽  
Online Courses ◽  
Instructional Designers ◽  
Data Sets ◽  
Online Assessments ◽  
Visualization Tools ◽  
And Performance ◽  
Analyze Data

Learning analytics can be used to enhance student engagement and performance in online courses. Using learning analytics, instructors can collect and analyze data about students and improve the design and delivery of instruction to make it more meaningful for them. In this paper, the authors review different categories of online assessments and identify data sets that can be collected and analyzed for each of them. Two different data analytics and visualization tools were used: Tableau for quantitative data and Many Eyes for qualitative data. This paper has implications for instructors, instructional designers, administrators, and educational researchers who use online assessments.

Collecting and Analyzing Qualitative Data

2019 ◽  
pp. 213-228 ◽  
Author(s):  
Brent Wolff ◽  
Frank Mahoney ◽  
Anna Leena Lohiniva ◽  
Melissa Corkum
Keyword(s):  
Qualitative Data ◽  
Computer Software ◽  
Internal Validity ◽  
Large Data ◽  
Data Sets ◽  
Qualitative Approaches ◽  
Rapport Building ◽  
Research Questions ◽  
High Internal Validity ◽  
Rigorous Method

Qualitative research provides an adaptable, open-ended, rigorous method to explore local perceptions of an issue. Qualitative approaches are effective at revealing the subjective logic motivating behavior. They are particularly appropriate for research questions that are exploratory in nature or involve issues of meaning rather than magnitude or frequency. Key advantages of qualitative approaches include speed, flexibility and high internal validity resulting from emphasis on rapport building and ability to probe beneath the surface of initial responses. Given the time-intensive nature of qualitative analysis, samples tend to be small and purposively selected to assure every interview counts. Qualitative studies can be done independently or embedded in mixed-method designs. Qualitative data analysis depends on rigorous reading and rereading texts ideally with more than one analyst to confirm interpretations. Computer software is useful for analyzing large data sets but manual coding is often sufficient for rapid assessments in field settings..

A Peer-Assessment Mobile Kung Fu Education Approach to Improving Students' Affective Performances

2017 ◽  
Vol 15 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Fon-Chu Kuo ◽  
Jun-Ming Chen ◽  
Hui-Chun Chu ◽  
Kai-Hsiang Yang ◽  
Yi-Hsuan Chen
Keyword(s):  
Physical Education ◽  
Student Perceptions ◽  
Learning Strategies ◽  
Tai Chi ◽  
Peer Assessment ◽  
Learning System ◽  
Learning Activity ◽  
Peer Involvement ◽  
Kung Fu ◽  
Mobile Learning System

Peer-assessment and video comment-sharing are effective learning strategies for students to receive feedback on their learning. Researchers have emphasized the need for well-designed peer involvement in order to improve students' abilities in the cognitive and affective domains. Although student perceptions of peer-assessment have been studied extensively in higher education, few studies have focused on the effects of the peer-assessment strategy on students' performance from the affective perspective, especially in Physical Education courses. Therefore, in this study, a peer-assessment mobile physical education approach is proposed for developing a mobile learning system for a Kung Fu Tai-Chi physical education course. To evaluate the effectiveness of the proposed approach, an experiment was conducted by assigning 42 college students to participate in this learning activity. The experimental results show that the proposed approach not only promoted the students' learning interest and motivation, but also improved their learning self-efficacy and socialization.

scholarly journals Big Qual: Defining and Debating Qualitative Inquiry for Large Data Sets

2019 ◽  
Vol 18 ◽  
pp. 160940691988069 ◽  
Author(s):  
Rebecca L. Brower ◽  
Tamara Bertrand Jones ◽  
La’Tara Osborne-Lampkin ◽  
Shouping Hu ◽  
Toby J. Park-Gaghan
Keyword(s):  
Qualitative Data ◽  
Large Data ◽  
Qualitative Inquiry ◽  
Large Data Sets ◽  
Computer Assisted ◽  
Data Sets ◽  
Sampling Strategies ◽  
Analysis Software ◽  
Technological Advances ◽  
Qualitative Data Analysis Software

Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or secondary qualitative data from at least 100 participants analyzed by teams of researchers, often funded by a government agency or private foundation, conducted either as a stand-alone project or in conjunction with a large quantitative study. We then present a broad debate about the extent to which big qual may be transforming some forms of qualitative inquiry. We present three questions, which examine the extent to which large qualitative data sets offer both constraints and opportunities for innovation related to funded research, sampling strategies, team-based analysis, and computer-assisted qualitative data analysis software (CAQDAS). The debate is framed by four related trends to which we attribute the rise of big qual: the rise of big quantitative data, the growing legitimacy of qualitative and mixed methods work in the research community, technological advances in CAQDAS, and the willingness of government and private foundations to fund large qualitative projects.

scholarly journals About Statistical Analysis of Qualitative Survey Data

2010 ◽  
Vol 2010 ◽  
pp. 1-12 ◽  
Author(s):  
Stefan Loehnert
Keyword(s):  
Data Aggregation ◽  
Qualitative Data ◽  
Correlation Coefficients ◽  
Model Specification ◽  
Data Sets ◽  
Statistical Methodology ◽  
Qualitative Survey ◽  
Reliability Check ◽  
Scale Transformations

Gathered data is frequently not in a numerical form allowing immediate appliance of the quantitative mathematical-statistical methods. In this paper are some basic aspects examining how quantitative-based statistical methodology can be utilized in the analysis of qualitative data sets. The transformation of qualitative data into numeric values is considered as the entrance point to quantitative analysis. Concurrently related publications and impacts of scale transformations are discussed. Subsequently, it is shown how correlation coefficients are usable in conjunction with data aggregation constrains to construct relationship modelling matrices. For illustration, a case study is referenced at which ordinal type ordered qualitative survey answers are allocated to process defining procedures as aggregation levels. Finally options about measuring the adherence of the gathered empirical data to such kind of derived aggregation models are introduced and a statistically based reliability check approach to evaluate the reliability of the chosen model specification is outlined.

scholarly journals Forensic triage of email network narratives through visualisation

2014 ◽  
Vol 22 (4) ◽  
pp. 358-370 ◽  
Author(s):  
John Haggerty ◽  
Sheryllynne Haggerty ◽  
Mark Taylor
Keyword(s):  
Qualitative Data ◽  
Data Sets ◽  
Content Type ◽  
Electronic Evidence ◽  
Relevant Evidence ◽  
Novel Approach ◽  
Potential Sources ◽  
Digital Investigation ◽  
Tools And Techniques

Purpose – The purpose of this paper is to propose a novel approach that automates the visualisation of both quantitative data (the network) and qualitative data (the content) within emails to aid the triage of evidence during a forensics investigation. Email remains a key source of evidence during a digital investigation, and a forensics examiner may be required to triage and analyse large email data sets for evidence. Current practice utilises tools and techniques that require a manual trawl through such data, which is a time-consuming process. Design/methodology/approach – This paper applies the methodology to the Enron email corpus, and in particular one key suspect, to demonstrate the applicability of the approach. Resulting visualisations of network narratives are discussed to show how network narratives may be used to triage large evidence data sets. Findings – Using the network narrative approach enables a forensics examiner to quickly identify relevant evidence within large email data sets. Within the case study presented in this paper, the results identify key witnesses, other actors of interest to the investigation and potential sources of further evidence. Practical implications – The implications are for digital forensics examiners or for security investigations that involve email data. The approach posited in this paper demonstrates the triage and visualisation of email network narratives to aid an investigation and identify potential sources of electronic evidence. Originality/value – There are a number of network visualisation applications in use. However, none of these enable the combined visualisation of quantitative and qualitative data to provide a view of what the actors are discussing and how this shapes the network in email data sets.

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