T-BioInfo

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T-BioInfo

T-BioInfo

Pine Biotech
Bioinformatics
Online data-analysis courses on bioinformatics

T-BioInfo courses and practical projects provide hands-on experience and familiarity with statistical, biological and machine learning approaches that are needed in several fields of study, such as biology, agriculture, medicine and biotech. The courses have online materials and example projects which utilize the T-BioInfo Platform, where the students can analyse big data themselves.

Age groups 
High School
Tertiary Education
Price 
Free with in-app-purchases
Languages 
English
Platform 
Browser-based
Registration 
Required
Offline play 
Internet required
Pictures
Videos
Pedagogy
Educational Quality
Learning Goals

The pedagogical analysis covers how the product supports learning of the identified skills. The student’s role is assessed by four contrary pair parameters, which are selected to cover the most essential aspects on the use of the product.

Passive
Active
The solution provides comprehensive materials that allow adopting theoretical information and putting it into practice by using metagenomic analysis tool that supports learning by doing.
Rehearse
Construct
Users are required to adopt new information from the course materials and apply that in varying problems when using analysis tool.
Linear
Non-Linear
Learning experience is well guided and students get to learn also through open ended problem solving tasks when using the analysis tool.
Individual
Collaborative
The solution supports self-learners and provides full autonomy to act and progress in one's own pace.

The following are the high educational quality aspects in this product.

The course provides very comprehensive materials teaching theoretical information that can be put into practice by using data analysis tool that supports learning by doing.
The course has several features which help the students understanding the subject, such as interactive glossary and helpful links to additional materials.
Learning experience is well guided and the course provides accurately predictable learning outcomes.
The course supports self-learners and provides full autonomy to act and progress in one's own pace.
The course has good options for commenting and reviewing content, which creates a supportive global learning community around it.

The supported learning goals are identified by matching the product with several relevant curricula descriptions on this subject area. The soft skills are definitions of learning goals most relevant for the 21st century. They are formed by taking a reference from different definitions of 21st century skills and Finnish curriculum.

Subject based learning goals

Learning the basics of transcriptomics.
Understanding the basics of big data bioinformatics: data types, applications and approaches in basic research, healthcare, and industry.
Learning the basics of metagenomics and the significance of bacteria to human health.

Soft skills learning goals

Practicing to create questions and make justifiable arguments based on observations
Developing problem solving skills
Practicing to plan and execute studies, make observations and measurements
Learning to recognise and evaluate arguments and their reasonings
Learning to plan and organize work processes
Practicing to set one's own learning goals
Practicing strategic thinking
Understanding technological system operations through making
Using technological resources for finding and applying information
Building common knowledge of technological solutions and their meaning in everyday life
Practicing categorization and classification
Practicing to notice causal connections
Practicing to notice links between subjects learned
Learning to build information on top of previously learned
Learning to combine information to find new innovations
Encouraging to build new information and visions

Kokoa Certificate

Kokoa Evaluation Method is an academically sound approach to evaluating a product’s pedagogical design from the viewpoint of educational psychology.

The method has been developed with university researchers and all evaluators are carefully selected teachers with a master's degree in education.

More about the evaluation