scholarly journals Integrating Information Literacy with a Sequenced English Composition Curriculum

2006 ◽  
Vol 6 (2) ◽  
pp. 169-184 ◽  
Author(s):  
Wendy Holliday ◽  
Britt Fagerheim
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rachel Wishkoski ◽  
Katie Strand ◽  
Alex Sundt ◽  
Deanna Allred ◽  
Diana J. Meter

PurposeThis mixed-methods study assesses a pilot library curriculum in a general education English composition course. Case-based learning (CBL), a form of problem-based learning (PBL), was used to scaffold information literacy skills and concepts across sessions. This article explores the approach's impact on student learning and engagement.Design/methodology/approachParticipants were enrolled in four sections of an undergraduate composition course. Two sections were taught with the CBL library curriculum, and two with the standard library curriculum as a control. Pretest/posttest surveys included quantitative and qualitative measures to assess students in several areas of information literacy. Weekly reflections from a subsample of students were analyzed, and the research team conducted structured classroom observations and teaching reflections.FindingsQuantitative survey results did not support the hypotheses that the CBL curriculum would increase students' confidence and skill levels compared to their control section peers. Although there was no significant difference between sections in measured information literacy outcomes, students generally agreed that the case studies used in the CBL curriculum taught skills applicable to their research. Teaching observation data revealed the cohesion of the curriculum across library sessions and increased student engagement in classroom activities. However, some of the case studies could be improved, and some limitations in study design point to the need for further research.Originality/valueThis study addresses a gap in the literature through a mixed-methods assessment of CBL pedagogy using a control group, contributing to an understanding of the role of PBL pedagogies in information literacy curricula.


2016 ◽  
Vol 11 (3) ◽  
pp. 50 ◽  
Author(s):  
Mara Bordignon ◽  
Gail Strachan ◽  
Jennifer Peters ◽  
Joy Muller ◽  
Alana Otis ◽  
...  

Objective – The main objective was to determine whether information literacy (IL) learning objects (LOs) impact student IL competency, specifically in a foundational first year English composition course. The primary research question was: What is the effectiveness of IL LOs compared to face-to-face instruction in terms of students’ skill acquisition? Methods – The methods involved testing student IL competency through a multiple-choice test given pre- and post-IL intervention. Effectiveness was measured by assessing whether IL competency improves after exposure to one of two interventions: online IL LOs or face-to-face librarian-led workshop. Over two semesters, equal sections of the course were tested for each of these interventions. For the IL LOs group, students first completed a pre-test, then they worked independently through three online IL LOs. The three IL LOs were videos comprised of animation, screen casting, and video capture on these topics: Finding Articles at Seneca Libraries (hereafter referred to as Finding Articles), Finding Articles on Current Issues, and Popular and Scholarly Sources. The students were then given the same test again. For the face-to-face group, the pre- and post-tests were also required for the same number of sections. This study was conducted under institutional ethics approval. Results – Descriptive analysis revealed student test scores increased for both interventions, IL LOs and face-to-face. Test scores increased, on average, between 14 to 37%. In comparing post-tests, results revealed a statistically significant difference only with the first topic, Finding Articles. In this case, the IL LOs (video) group outperformed the face-to-face group by at least 10%. No significance, in terms of performance from pre- and post-test scores, was found for the other two topics. Conclusion – Both IL LO and face-to-face library led workshop interventions had a positive impact on students’ IL skill acquisition as evidenced by an overall increase in average test scores. One IL LO on Finding Articles significantly outperformed the face-to-face class equivalent. Further study is needed to track individual student performance.


Diagnostica ◽  
2020 ◽  
Vol 66 (3) ◽  
pp. 147-157
Author(s):  
Martin Senkbeil ◽  
Jan Marten Ihme

Zusammenfassung. ICT Literacy legt eine performanzbasierte Erfassung mit simulierten und interaktiven Testaufgaben nahe. Der vorliegende Beitrag untersucht, ob mit Multiple-Choice (MC)-Aufgaben ein vergleichbares Konstrukt wie mit Simulationsaufgaben erfasst wird. Hierfür wurden die Testergebnisse zweier Instrumente aus aktuellen Large-Scale-Studien gegenübergestellt, die an N = 2 075 Jugendlichen erhoben wurden: der auf MC-Aufgaben basierende ICT Literacy-Test für Klasse 9 des Nationalen Bildungspanels (National Educational Panel Study, NEPS) und der simulationsbasierte Kompetenztest der internationalen Schulleistungsstudie ICILS 2013 (International Computer and Information Literacy Study). Die Analysen unterstützen die Gültigkeit der Konstruktinterpretation des MC-basierten Tests in NEPS. Im Sinne der konvergenten Evidenz korrelieren die MC-Aufgaben substanziell mit den computer- und simulationsbasierten Aufgaben in ICILS 2013 (.68 ≤  r ≤ .90). Weiterhin ergeben sich positive und für beide Tests vergleichbar hohe Korrelationen mit ICT-bezogenen Schülermerkmalen (z. B. Selbstwirksamkeit). Weiterführende Analysen zum Zusammenhang mit allgemeinen kognitiven Fähigkeiten zeigen zudem, dass ICT Literacy und kognitive Grundfähigkeiten distinkte Faktoren repräsentieren.


2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang

The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.


2007 ◽  
Author(s):  
Suzanne Lipu ◽  
Kirsty Williamson ◽  
Annemaree Lloyd

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