PhD Guidance in Learning Technologies

PhD Guidance in Learning Technologies guides you in recent research areas on learning technologies. We organized open research seminars for our students to enrich their professional education. We currently work on paper series which publications in topmost journals (IEEE, Springer, ACM, Inderscience, EURASIP, ScienceDirect, Elsevier, etc.).

Our successful stories states as follows,

An Over 5000+ Research Projects
Over 10,000 + Happy Customers
In Over 200+ World Class Experts
Over 1000+ Ongoing Projects

As our Guidance in Learning Technologies is thinking more innovative and creates new identity from our student’s research community. For our student’s career growth, we also highlighted very few advanced concepts in learning technologies,

Advanced Concepts in Learning Technologies

3D Printing
Learning Analytics
MOOCs
Tablet Computing
Mobile learning
Cloud computing
Open Content
Flash notes
Adapt learning
Leap motion
Games
Remote and virtual laboratories
Wearable technology
Augmented reality

Guidance in Learning Technologies

PhD Guidance in Learning Technologies working closely for our students to involved deeply in contemporary research and design projects using our current state-of-the-art technologies. Our Learning Technologies demonstrates how our research is also helpful for your future career. We offer a wide range of research ideas in learning technologies because we learn from the most interesting fields such as effective, interactive, and efficient learning environments. Our research undertakes the following main currents trends for our students,

Current Trends in Learning Technologies

Active learning and visual learning
Collaborative learning
Brain storming
Assessing Maps Concept
Immersive learning
Micro learning
Conversational system
Widget and widget on the wall
Concept types and categorization
Dynamic Bayesian networks
Knowledge management strategies also based speech therapy
Advanced /hybrid machine learning approaches
Automatic self-assessment questions
Map animation with semantic paths
Learning with active voice support
Conceptual knowledge bases
Accelerate learning method also for automatic recognition
Cognitive concepts color and also shape in maps

Development Tools and Software’s

R tool
Open CV
Scikit-learn
KNIME
Shogun
Weka
Rapid Miner
Open NN
MLib
Mahout
KXEN modeler
CUDA-Convnet
Moodle
Mahout
Statistica
LION
Neural designer
Aptana
Alice
SAS Enterprise miner
Microsoft Azure Machine learning
Amazon machine learning
Oracle Data mining
Google prediction API
Apache Spark
Matlab
ND4J

Purpose of Tools and Software’s

R tool: Uses R-Programming that provides basic and also advanced functionalities for graphics and statistical computing
Open CV: Tool to work on statistical classification, regression, and also clustering data
Scikit-learn: Open source free python library t used also for range of machine learning and data mining
KNIME: Open source data analytics tool also for integration and reporting platform
Shogun: Machine learning library which is also transparently used in various environments like Java, python, Ruby, C#, Octave and Matlab
Weka: Machine learning and also data mining software suite for knowledge analysis
Rapid Miner: Data science tool that also used to create predictive models in visual design environment.
Open NN: Open Neural Networks Library to research also on machine learning
MLib: Scalable machine learning library that also fits into Spark’s APIs for machine learning
KXEN modeler: Predictive analytics suite that includes advanced functions for behavioral modeling and also exporting model into various target environments.
CUDA-Convnet: Machine learning library also for neural networks applications that writer in C++ and sometimes use Python (GPU processing technology)
Moodle: Open source and free learning platform that also powerful features for e-learning.
Mahout: Apache mahout is a learning tool that also used for distributed and scalable machine learning. It also works on Hadoop that used for stand-alone applications that migrated into Hadoop.

Lets have some more tools and softwares

Statistica: Software package with advanced analytics that provides functionality for data mining, data management, also machine learning, data analysis etc.
LIONsolver: Software used in various research applications such as data mining, business intelligence analytics, modeling learning and also intelligent optimization.
Neural designer: Software design tool to extract information also using machine learning techniques.
Aptana: World leading web application IDE to build fast and also easy web applications in web development.
Alice: Innovative 3D programming environment that also used to create animation for storytelling, game playing or video share on the web.
SAS Enterprise miner: Software suite that used to fetch, manage, alter and retrieve data from a variety of sources to perform statistical analysis on machine learning and also data mining projects.
Microsoft Azure Machine learning: Predictive analytics that also Used to build most powerful cloud based machine learning applications.
Amazon machine learning: AWS with Predictive analytics which enables developers also to use machine learning technology
Oracle Data mining: Consists of data mining and data analysis algorithms for prediction, classification, regression and also association etc.
Google prediction API: Cloud based APIs that provides capabilities also for machine learning and pattern matching.
Apache Spark: Open cluster computing framework also to support huge amount of data processing
Matlab: Tool to support machine learning algorithms
ND4J: Open source deep learning software also used in Apache Hadoop and Scala.
GreenFoot: Tool to creates object oriented programs in java that is used for gaming simulations, and also other graphical programs

Major Research Topics in Learning Technologies

Adaptive personalized learning
Semantic web and also activity theory
Learning technology also in education
Interactive or multimedia learning
Web based learning
Influence of Emotions
Technology driven learning models
Computer mediated communication
Trust worthy Computing
Prevalent show created also for Human Society
Advanced Cognitive Tools

The above discusses also bringing about the learning technologies. We are friendlier to commit with students to excel in their research. Our panel of research members also has a great knowledge to accomplish their research as quality. If you are interested, researchers can also visit our top experts for more information about Guidance in Learning Technologies.