Week 5 & 6: Rapid Miner

In addition to DALMOOC, I am currently enrolled in two more MOOCs here at Edx, Solving Complex Problems, and Delft Design Approach. This latter course is very interesting. It’s the first design methodology course I’ve taken as a MOOC and

/ Comments Off on Week 5 & 6: Rapid Miner

Week 5 & 6: Rapid Miner

In addition to DALMOOC, I am currently enrolled in two more MOOCs here at Edx, Solving Complex Problems, and Delft Design Approach. This latter course is very interesting. It’s the first design methodology course I’ve taken as a MOOC and

/ Comments Off on Week 5 & 6: Rapid Miner

Week 4: CCK11 & Creative Potential

Interpretation of Creative Potential in Network Dynamics across Social Media Abstract Analyzing network data to uncover correlations involves what you expect: clear understanding of network measure definitions and thorough knowledge of your subjects and their context. There are two challenges.

/ Comments Off on Week 4: CCK11 & Creative Potential

Week 4: CCK11 & Creative Potential

Interpretation of Creative Potential in Network Dynamics across Social Media Abstract Analyzing network data to uncover correlations involves what you expect: clear understanding of network measure definitions and thorough knowledge of your subjects and their context. There are two challenges.

/ Comments Off on Week 4: CCK11 & Creative Potential

Week 4: CCK11 data network settings

Network Import Settings This page is the companion page to the reflective report, “Interpretation of Creative Potential in Network Dynamics across Social Media”. 1.) Network Gephi Import Settings (Input files: v1.x; Output files: 1.1: Directed; Normalization: No) NOTE: It let

/ Comments Off on Week 4: CCK11 data network settings

Week 4: CCK11 data network settings

Network Import Settings This page is the companion page to the reflective report, “Interpretation of Creative Potential in Network Dynamics across Social Media”. 1.) Network Gephi Import Settings (Input files: v1.x; Output files: 1.1: Directed; Normalization: No) NOTE: It let

/ Comments Off on Week 4: CCK11 data network settings

Week 4: Reflections & on Social Network Analysis

I’ve taken several courses online studying social networks. I can’t recall having heard the methods of analysis described in quite this fashion. I particularly liked this passage, “…we are going to cover two groups of measures: those that are measuring

/ One Comment

Week 4: Reflections & on Social Network Analysis

I’ve taken several courses online studying social networks. I can’t recall having heard the methods of analysis described in quite this fashion. I particularly liked this passage, “…we are going to cover two groups of measures: those that are measuring

/ One Comment

Week 3: CCK11 Blog & Tweet Analysis, Part One

Integration of the Results of Social Network Analysis in Gephi Completely fascinated by the data sets when I realized the oppositional nature of tweet mentions and blog comments. In a sense a tweet mention is a specific reference connecting peers

/ Comments Off on Week 3: CCK11 Blog & Tweet Analysis, Part One

Week 3: CCK11 Blog & Tweet Analysis, Part One

Integration of the Results of Social Network Analysis in Gephi Completely fascinated by the data sets when I realized the oppositional nature of tweet mentions and blog comments. In a sense a tweet mention is a specific reference connecting peers

/ Comments Off on Week 3: CCK11 Blog & Tweet Analysis, Part One

Week 3: CCK11 Blog & Tweet Images, Part Two

Network Images Gephi is a fascinating user interface for exploring networks. The images are wondrous. For this first exploration of the CCK11 data set let’s enjoy these images and their variations for their visual properties. For the Reflective Report visit,

/ Comments Off on Week 3: CCK11 Blog & Tweet Images, Part Two

Week 3: CCK11 Blog & Tweet Images, Part Two

Network Images Gephi is a fascinating user interface for exploring networks. The images are wondrous. For this first exploration of the CCK11 data set let’s enjoy these images and their variations for their visual properties. For the Reflective Report visit,

/ Comments Off on Week 3: CCK11 Blog & Tweet Images, Part Two

Thinking about Structure, Sites and Instruction

DALMOOC is complex In a recent tweet Prof Siemens commented about a fellow learner’s observations of distributed learning: great summary:goal of #dalmooc “overwhelming and disorientating at first but empowering in the long run” http://t.co/DPWjPP3Gqj @adamlofting — George Siemens (@gsiemens) November

/ Comments Off on Thinking about Structure, Sites and Instruction

Thinking about Structure, Sites and Instruction

DALMOOC is complex In a recent tweet Prof Siemens commented about a fellow learner’s observations of distributed learning: great summary:goal of #dalmooc “overwhelming and disorientating at first but empowering in the long run” http://t.co/DPWjPP3Gqj @adamlofting — George Siemens (@gsiemens) November

/ Comments Off on Thinking about Structure, Sites and Instruction

Week 3: Learning Gephi : Layout Algorithms

DALMOOC Week 3 Assignment Gephi Layout Algorithms Explore different layouts for the representation of the network (e.g., Fruchterman Reingold and Yinfan Hu) and experiment with their configuration parameters. Nodes and edges have been resized using the manual manipulation tools. Each

/ Comments Off on Week 3: Learning Gephi : Layout Algorithms

Week 3: Learning Gephi : Layout Algorithms

DALMOOC Week 3 Assignment Gephi Layout Algorithms Explore different layouts for the representation of the network (e.g., Fruchterman Reingold and Yinfan Hu) and experiment with their configuration parameters. Nodes and edges have been resized using the manual manipulation tools. Each

/ Comments Off on Week 3: Learning Gephi : Layout Algorithms

Week 2: Assignment Bank #37 : Data cycle

Learning Analytics Data Cycle The data cycle and the analytics model are two views of the same territory. The data cycle is a four part process of data, collections, questions, impacted communities. The analytics cycle is a seven step walk

/ Comments Off on Week 2: Assignment Bank #37 : Data cycle

Week 2: Assignment Bank #37 : Data cycle

Learning Analytics Data Cycle The data cycle and the analytics model are two views of the same territory. The data cycle is a four part process of data, collections, questions, impacted communities. The analytics cycle is a seven step walk

/ Comments Off on Week 2: Assignment Bank #37 : Data cycle

Week 1: Analytics Tool Matrix

My additions to the Analytics Tool Matrix. Basically its all the big Python projects I could think of, and use: IPython Notebook IPython Notebook integrates text editing and a Python console into one. Write the steps of your analysis, then

/ Comments Off on Week 1: Analytics Tool Matrix

Week 1: Analytics Tool Matrix

My additions to the Analytics Tool Matrix. Basically its all the big Python projects I could think of, and use: IPython Notebook IPython Notebook integrates text editing and a Python console into one. Write the steps of your analysis, then

/ Comments Off on Week 1: Analytics Tool Matrix