TELeurope: dataTEL workshop at ARV2011

Hendrik Drachsler
519 days ago

We use this group discussion in order to inform each other about our work and research objectives related to dataTEL. Please upload your extended abstracts to dataTEL group files: http://www.teleurope.eu/pg/file/group:9405 and add a short summary of your abstract with a link to the uploaded file by commenting in this discussion board.

Hendrik Drachsler

Hendrik Drachsler
463 days ago

A great part of students' activity happens outside the scope of face-to-face classes or Learning Management Systems (LMS). Such external activity is a key part of the learning process: using tools, problem solving processes, doing exercises, checking external documentation, etc. Tracking, analysing and visualising such outside activity can provide a better insight on how the student works and learns, both individually and collaboratively.

dataTEL, data visualization, student activity

Hendrik Drachsler

Hendrik Drachsler
463 days ago

For the improvement and evaluation of personal history management concepts and tools, the availability of suitable data has become increasingly important. The Web History Repository Project (WHR) aims to leverage this need by building a public repository of web usage data, which researchers can use to gain new insights in online browsing behavior. In this extended abstract we report on our experiences during the conceptualization of the project, the measures taken to address privacy issues and the strategies used for recruiting contributors via mailinglists, Facebook and Twitter. We give a brief description on the structure of the WHR, summarize a first experiment with the data, and provide pointers where to download the repository.

personal information management web history repository page revisit recommendation

Hendrik Drachsler

Hendrik Drachsler
463 days ago

The term “analytics” refers to the use of information technology to harness statistics, algorithms, and other tools of mathematics to improve decision-making. A wide variety of organizations use analytics to convert data to actionable knowledge. Analytics represent a change from the longstanding approaches to management that often rely on instinct and largely are unsupported and undocumented. Analytics permit corporate decision-making to bedriven, assessed and tested by the use of data.
data privacy, business logic, analytics

Shlomo Berkovsky

Shlomo Berkovsky
437 days ago

Details of the keynote for ARV-2011

Title: Setting Up a Research Contest

Abstract: Research contests have attracted attention in many areas, mainly due to their potential to boost research on a specific problem. Contests also facilitate a fair and objective evaluation means, as all the participants share the same data and task. This talk will focus on the details of organizing a research contest. Initially, we will overview several past contests: KDD Cup competition series, Netflix prize competition, and CAMRa challenge on context-aware recommendations. Then, we will discuss the essential components of a successful contest: selection of appropriate tasks, data processing and preparation, publicity and attraction of participants, and the logistics of carrying out the contest. Finally, we will spark the discussion on the upcoming i-KNOW dataTEL contest on predicting the performance of students with an intelligent tutoring system.

John Stamper

John Stamper
436 days ago

Details of my keynote for ARV-2011

Title: DataShop: An Educational Data Mining Platform for the Learning Science Community

Abstract: In this talk I will discuss my vision of creating a true platform for conducting educational data mining research. The talk will focus on DataShop, part of the Pittsburgh Science of Learning Center, which is an open data repository and set of associated visualization and analysis tools. DataShop has data from thousands of students deriving from interactions with on-line course materials and intelligent tutoring systems. The data is fine-grained, with student actions recorded roughly every 20 seconds, and it is longitudinal, spanning semester or yearlong courses. As of February 2011, over 245 datasets are stored including over 51 million student actions which equates to over 150,000 student hours of data. Most student actions are “coded” meaning they are not only graded as correct or incorrect, but are categorized in terms of the hypothesized competencies or knowledge components needed to perform that action. I plan to open the talk up as an interactive discussion in order to answer questions related to some of the key issues we faced in developing an open data repository, including security, privacy, and data diversity.

Feel free to go to http://pslcdatashop.org to sign up for a free account and access DataShop prior to the workshop.

About me: John Stamper is the Technical Director of the Pittsburgh Science of Learning Center DataShop. He is also a member of the research faculty at the Human-Computer Interaction Institute at Carnegie Mellon University. His primary areas of research include Educational Data Mining and Intelligent Tutoring Systems. John received his PhD in Information Technology from the University of North Carolina at Charlotte, holds an MBA from the University of Cincinnati, and a BS in Systems Analysis from Miami University. Prior to returning to academia, John spent over ten years in the software industry. John is a Microsoft Certified Systems Engineer (MCSE) and a Microsoft Certified Database Administrator (MCDBA). John was the co-chair of the 2010 KDD Cup Competition, titled “Educational Data Mining Challenge,” which centered on improving assessment of student learning via data mining.

Hendrik Drachsler

Hendrik Drachsler
434 days ago

Dear dataTEL participants,

based on your contributions we identified the following most pressing topics for the workshop:

Topic: Evaluation of recommender systems in TEL
Topic: Data supported learning examples
Topic: Datasets from Learning Object Repositories and Web content
Topic: Privacy and data protection for dataTEL

Every presenter will receive 30 minutes to present the contribution, 20 minutes for the presentation and 10 minutes for questions and discussions. At the end of both days we will have a topic-wide discussion round to reflect the presentations and gain future R&D ideas or activities.

You can find the schedule of the workshop here:
Time schedule for the dataTEL workshop at the ARV2011

Catherine Mulwa

Catherine Mulwa
428 days ago

A Recommender Framework for the Evaluation of End User Experience in Adaptive Technology Enhanced Learning Systems. mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} <![endif]-->

Abstract: Recommender evaluation frameworks provide personalised services in the adaptive technology enhanced learning systems, and can provide personalized information according to individual information needs. This paper focuses on potential educational benefits of current evaluation methodologies and metrics for educational recommender systems. More specifically it focuses on educational benefits of an evaluation framework for end user experience of adaptive systems (EFEx) which was designed and developed as part of research being carried out at the Centre for Next Generation Localisation (CNGL). EFEx framework provides: i) a repository of current user-centred evaluation (UCE) techniques for adaptive systems, ii) provision of recommendations, to users, for the identification and application of the most appropriate methodologies and metrics. This research is aimed at tackling the question of i) “What are the techniques used in (and benefits of) user-centred evaluation to evaluate the end user experience in adaptive recommender systems and ii) How can these techniques be best combined and applied for evaluating end user experience of recommender systems?

Keywords: Technology enhanced learning, Recommender framework, Adaptive system,

About me: Currently I am conducting research in the area of user-centred evaluations of adaptive systems as part of research being carried out at the Centre for Next Generation Localisation CNGL.

Research Focus: This research is focused on user-centred evaluation (UCE) of adaptive systems, specifically adaptive e-Learning systems and adaptive portals for customer care. This PhD work proposes a user-centred evaluation approach to the evaluation of the adaptive mechanism of these systems. Our goal is to an develop an evaluation framework for end user experience in adaptive systems (EFEx).

John Stamper

John Stamper
418 days ago

I am now back in Pittsburgh, but I just wanted to leave a short note to let you guys know how impressed I was with this workshop. It was great meeting all of you and I hope we will continue our discussions and possibly collaborate on some of the ideas. Please do not hesitate contacting me if you have any questions or comments.

Thank you again for giving me the opportunity to join you,

John

Hendrik Drachsler

Hendrik Drachsler
416 days ago

Hi John and others, I'm also back to OUNL and will have 2 other conferences this week and a project meeting on Friday. Thus, not much time to reflect the workshop, BUT I fully agree with John it was a great workshop because you guys where an outstanding group with very creative and innovative ideas. Special thanks on this place to John and Shlomo for coming over to us. Your contribution was very valuable and I hope we will continue the good cooperation!I really appreciated the good working spirit in the whole group and I was very impressed how fast and accurate you guys came up with the 4 Grand Challenges. Bye the way, I will post the GCs here as soon I got them back from the STELLAR team. I really think we made a step forward in the research on dataTEL, I learned a lot from you guys and I hope you also took something with you home. There is definitive the need for a follow-up workshop. Moreover, I would like to encourage you to use this group space for announcement and new developments towards dataTEL. Post questions, make comments, add bookmarks or articles to the dataTEL group space you will directly reach like-minded people! You can make a first contribution by uploading or linking your slides from the workshop ;) So thanks again for being there and keep the good spirit. Hendrik

Grand Challenge presentation from dataTEL workshop

Hendrik Drachsler

Hendrik Drachsler
408 days ago

Hi dataTELers,

I hope you all doing fine after the workshop. I just created a new page in the group space on the outcomes of the dataTEL workshop at ARV11. Here you can find the challenges we created and which outline our future research agenda:

http://www.teleurope.eu/pg/pages/view/84353/4-grand-challenges-developed-at-the-datatel-workshop-at-arv11

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dataTEL workshop at ARV2011