Biofeedback as a cognitive research technique for enhancing learning process

The new technologies of measuring the biological indicators and the progress of neuron-communications help to better connect the emotional, intellectual and physiological parameters of the body and brain activity. The emerging research techniques include the biofeedback which enables to define audience’s attention, students’ engagement, and offers a more thorough understanding of the learning process. The paper presents the results of the experiments related to the assessment of distance and classroom learning and to the measurement of the consequences for the perceptive, cognitive and volition features of students after both types of work – with physical participation of a teacher and with autonomous studying material through computer. The CMS (Current Mental State) technique in the form of a hardware-software biofeedback complex was used to obtain an unbiased evaluation of the students’ emotional and mental state and well-being. The result of this quantitative research was a set of parameters displaying the current mental state of the participants and showing the students’ reaction to the learning material and environment. The practical significance of the CMS study is to deepen the understanding of the perceptive and cognitive processes through the different forms of educational activity.

[1]  A. Kobicheva,et al.  Evaluation of Students’ Engagement in Integrated Learning Model in A Blended Environment , 2019, Education Sciences.

[2]  T. Baranova,et al.  Development of Students’ Polycultural and Ethnocultural Competences in the System of Language Education as a Demand of Globalizing World , 2019, Advances in Intelligent Systems and Computing.

[3]  N. Almazova,et al.  The Integration of Online and Offline Education in the System of Students’ Preparation for Global Academic Mobility , 2018 .

[4]  E. Razinkina,et al.  Student satisfaction as an element of education quality monitoring in innovative higher education institution , 2018 .

[5]  M. Ababkova Neuromarketing For Education: Rethinking Frameworks For Marketing Activities , 2018 .

[6]  Татьяна Ивановна Величко Оценка функционального состояния организма с использованием АПК «АМСАТ-КОВЕРТ» в период сессии у студентов , 2017 .

[7]  V. V. Glukhov,et al.  Improving the teaching quality with a smart-education system , 2017, 2017 IEEE VI Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovations) (SPUE).

[8]  I. Babkin,et al.  Modern approaches to the educational process aimed at improving the quality of highly qualified personnel training , 2017, 2017 IEEE VI Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovations) (SPUE).

[9]  Feng Wei,et al.  Digitizing of regulative mechanisms on the masterchain platform for the individualized competence portfolio , 2017, 2017 IEEE VI Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovations) (SPUE).

[10]  Shih-Wen Hsiao,et al.  Application of Grey Relational Analysis to Decision-Making during Product Development , 2017 .

[11]  H. Hsiao,et al.  A Five-Stage Prediction-Observation-Explanation Inquiry-Based Learning Model to Improve Students’ Learning Performance in Science Courses , 2017 .

[12]  Anabela Pereira,et al.  Brief Biofeedback Intervention on Anxious Freshman University Students , 2017, Applied psychophysiology and biofeedback.

[13]  I. A. Brusakova,et al.  About problems of management of knowledge of the digital enterprise in fuzzy topological space , 2017, 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM).

[14]  Matthew L. Spialek,et al.  Randomized controlled trial of the Resilience and Coping Intervention (RCI) with undergraduate university students , 2017, Journal of American college health : J of ACH.

[15]  Svetlana Kalmykova,et al.  Role Scientometric Researches’ Results in Management of Forming the Educational Trajectories in the Electronic Educational Environment , 2016 .

[16]  S. Bögels,et al.  UvA-DARE (Digital Academic Repository) a RCT comparing daily mindfulness meditations, biofeedback exercises, and daily physical exercise on attention control, executive functioning, mindful awareness, self-compassion, and worrying in stressed young adults , 2016 .

[17]  Yi-Ling Chen,et al.  Using a "prediction-observation-explanation" inquiry model to enhance student interest and intention to continue science learning predicted by their Internet cognitive failure , 2014, Comput. Educ..

[18]  Nop T. Ratanasiripong,et al.  Biofeedback Intervention for Stress and Anxiety among Nursing Students: A Randomized Controlled Trial , 2012, ISRN nursing.

[19]  Thomas G. Plante,et al.  Meditation Lowers Stress and Supports Forgiveness Among College Students: A Randomized Controlled Trial , 2008, Journal of American college health : J of ACH.

[20]  Bruce W. Bean,et al.  Russian Federation , 2002 .

[21]  C. Smee,et al.  United Kingdom , 2000, International Journal of Pharmaceutical Medicine.

[22]  Yasnitsky Leonid Advances in Intelligent Systems and Computing , 2019 .

[23]  E. Peper The Possible Uses of Biofeedback in Education , 1979 .