About me

Last updated: February 2018

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 •This Blog praises my PhD work•
Hi! My name is Mohammad Khalil. I am a Postdoctoral candidate at Delft University of Technology in the Netherlands. Since March 2017, I have been appointed as the first Postdoc of the three universities alliance LDE (Leiden, Delft, Erasmus) – Center for Education and Learning.  After two months of starting my new career, I successfully defended my Ph.D.
Since working at Delft Univ. of Technology, I have closely worked with Ph.D. students at the three holland universities. I worked on sequential pattern mining, text analysis, privacy policies of MOOCs and gamification. I am currently working on a gamification project where we are heading toward improving student engagement and motivation in MOOCs using mobiles. I will also start collaborating with a Ph.D. student from the OU/Netherlands on dashboards.  Moreover,  I am preparing a new collaboration with another PhD candidate also from the OU to work on an adaptive gamification approach in MOOCs.
As a former doctoral candidate, I worked at the Educational Technology Department, Graz University of Technology, Graz, Austria. My main research study area was in Learning Analytics, online learning, and Massive Open Online Courses (MOOCs), with the supervision of Dr. Martin Ebner.
My research aims at Technology Enhanced Learning in General. While the major focus is on the practices of Learning Analytics in MOOCs. In details, my doctorate study is about the integration of Learning Analytics applications in MOOC platforms and how can Learning Analytics improve learning from the learners’ point of view (will they learn more often?) and the administration point of view (How’s the courses are performing?), taking into account the ethical and privacy factors of the data analysis. Our development phases and experiments are done on the iMooX® platform.
The following, is a word cloud of common terminologies I used in publications (Last update March 2016):


My duties were exploring and examining the log traces and interactions of students in the iMooX platform. I was doing different responsibilities such as processing the extracted data from the log files, tidying the data, grouping and classifying data indices and report statistical and meaningful results.
I visualized various MOOC indicators, based on big data, in order to improve the design, learning, and the environment of the MOOC-platform as well as to support proper determinations which are usually taken by the higher decision-makers. One of my goals is to present a nice, colorful, meaningful and simple visualization of educational data.
If you did not browse my publications, then you can find some of the visualizations here. Proudly said, these are some of my works dealing with the educational data or customized:

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Mohammad Khalil


2 thoughts on “About me

  1. Dear MR Mohammed,

    This is Hassan , PhD Student at UPM University, Malaysia .

    With gladly i reviewed the paper title ” Clustering patterns of engagement MOOC the use of LA” that done by you and Dr.Martin Ebner, and i consider it as very value research.

    but if you don’t mind i have a question

    1- k-means clustering has employed to discover interesting characteristics of participants in this paper, and I most research hired same algorithm (k-means)

    why k-means are so popular in this kind of research and do you think their are some shortage with it.

    by the way I’m doing research on MOOC form computer sec. prospective, more specific from Big Data Technology prospective, i appreciated if you can advice me with any knowledge that can light my research.

    ​Best Regrds
    مع تمنياتي لك بالتوفيق

    Liked by 1 person

    1. Hi Hassan,
      Thank you for your comment. K-means clustering is a popular methodology in machine learning. We chose that method because we had set a goal to limit the number of groups to 4.
      maybe a shortage is the challenge to name your groups and find shared behavior.

      Best Wishes,


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