(SpringerBriefs in Business Process Management) Learning Analytics Cookbook_ How to Support Learning Processes Through Data Analytics and Visualizatio

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88 7 Understanding Students’ Online Behavior While They Search on the Internet:...Table 7.1 Student 10,113—Selected lines from the student proxy sources list in the dashboardWebsiteOccurrenceshttp://it.wikipedia.org 1405http://www.britannica.com 794http://www.merriam-webster.com 680http://www.medicinenet.com 574http://www.wordreference.com 451http://www.youtube.com 450http://www.differencebetween.com 383http://prezi.com 328http://www.organsofthebody.com 322http://www.diabetes.org 311http://www.medicalnewstoday.com 215http://www.nal.usda.gov 156supplements, and science popularization pages), followed by monolingual dictionaries(17.6%), institutional websites (13.5%), Wikipedia (19.7%), and other encyclopedias(11.6%).The search strategies of student 10,113 are in keeping with the teacher’s suggestionsto search in a wide range of websites and to focus on content-based sites ratherthan language-based ones. However, the data entered in the sources field were thestudent’s declaration that, all in all, Wikipedia was the most profitable source,probably because it offers basic scientific information in a highly structured way.The teacher can use this type of information, for example, to open a class discussionabout the range of available sources and their advantages and disadvantages.ReferencesBortoluzzi, M., & Marenzi, I. (2017). Web searches for learning: How language teachers search foronline resources. Lingue e Linguaggi Lingue Linguaggi 23, 21–36. Retrieved from http://sibaese.unisalento.it/index.php/linguelinguaggi/article/viewFile/17056/15780Marenzi, I., & Zerr, S. (2012). Multiliteracies and active learning in CLIL—The development ofLearnWeb2. 0. IEEE Transactions on Learning Technologies, 5(4), 336–348.Mazza, R., & Dimitrova, V. (2004, May). Visualising student tracking data to support instructors inweb-based distance education. In Proceedings of the 13th International World Wide Webconference on Alternate Track Papers & Posters (pp. 154–161). ACM.Mazza, R., Bettoni, M., & Far’e, M., & Mazzola, L. (2012). Moclog–monitoring online courseswith log data. In S. Retalis & M. Dougiamas (Eds.), 1st Moodle Research Conference Proceedings(pp. 132–139). Retrieved from https://research.moodle.net/54/1/17%20-%20Mazza%20-%20MOCLog%20-%20Monitoring%20Online%20Courses%20with%20log%20data.pdfZhang, H., & Almeroth, K. (2010). Moodog: Tracking student activity in online course managementsystems. Journal of Interactive Learning Research, 21(3), 407–429.
GlossaryAnalytics Describes the subject “data analytics,” where data is analyzed to identifypatterns that can help a user make better decisions.Analytics technologies Technologies like data visualization and predictive analyticsthat are used in analytics to support decision-making.API The abbreviation for Application Programming Interface, which providesguidelines for developers on how to make an application for a certainenvironment.Backup Securing data by creating duplicates stored at different places.Big data A huge amount of structured or unstructured data, often gathered from awide variety of sources.Big data analytics An analysis of big data to generate business value from it.Central data store The place where data is stored; it can be stored in any formatand often can be found in a database or similar kind of storage.Classification Categorizing objects for simplified management of information.Computerized system A system in which all necessary software and hardware isalready in place and well-documented.Csv file An abbreviation for Comma-separated values file, which is a file that isorganized in individual columns separated by a comma and rows separated bylines.Data abuse Misuse of data.Data client The party who receives the data from data subjects.Data collection A structured assemblage of data to gain insight into a certain topic.Data log A set of historical data activity related to who used the software and how itwas used collected by a computer (e.g., through sensors) and often automaticallyrecorded and stored by educational application software, such as Moodle.Data management Handling of available data, which includes processes likecreating, storing, editing, and deleting data.Data minimization The effort to protect individual data by storing only the datathat is important, which, according to the EU GDPR, is the case if data isadequate, relevant and limited to certain purposes.© The Author(s) 2020R. Jaakonmäki et al., Learning Analytics Cookbook, SpringerBriefs in BusinessProcess Management, https://doi.org/10.1007/978-3-030-43377-289
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SPRINGER BRIEFS IN BUSINESSPROCESS
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More information about this series
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Roope JaakonmäkiDepartment of Info
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viPrefacecould be implemented using
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ContentsPart I Understanding Learni
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Contentsxi7.3.3 The Proxy . . .....
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Chapter 1Introduction to the Learni
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1.2 The Learning Analytics Toolbox
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Chapter 2Learning Analytics Kitchen
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2.2 Stakeholders: Contributors and
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2.4 Data: Educational Datasets and
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References 132.6 Internal Limitatio
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Chapter 3Responsible Cooking with L
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3.2 Big Data in the Responsible Lea
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3.3 General Ethical and Privacy Gui
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3.4 Ethical Frameworks in Learning
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References 29Debatin, B., Lovejoy,
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Part IISelected Learning Analytics
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34 4 Understanding Student-Driven L
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(SpringerBriefs in Business Process Management) Learning Analytics Cookbook_ How to Support Learning Processes Through Data Analytics and Visualizatio

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