E-learning Model for Bachelors, Specializing in Mathematics and IT

Abstract

Today’s world comes with the necessity of training highly qualified specialists in mathematics and information technologies. It requires creating a special model, based on applying a number of particular pedagogical approaches. A version of this model has been designed in this work. The model of five modules is based on applying complex integrative, differentiated, learner-centered, competent, and vocationally oriented approaches. A pool of e-learning resources allows to compile a professional thesaurus of bachelors, thus creating a unified system of e-learning. Our model lays emphasis on the individual peculiarities of learners: enhancing their cognitive processes, computer-assisted self-efficiency, and individual style of studying. All the above gears toward accumulating the necessary experience of project activities of bachelors, and team work. Monitoring the results is implicated in accordance with the established system of assessment of assignments of different level of complexity. The monitoring methods, used in the model, allows to evaluate the level of development of information competence of bachelors specializing in mathematics, and computer science. The pedagogical experiment was conducted in order to check the effectiveness of the developed model. The results demonstrate a significant increase in the number of students of experimental groups with a high level of formed information competence. It also confirmed the statistical data analysis using χ2 hypothesis test and Student's t-test, thus proving the effectiveness of the created model.

Keywords: Information competence, computer science, integrative approach, differentiated approach, e-learning

Introduction

In today’s world of fast-pacing information technology, one of the topical tasks set before higher

educational institutions is finding and using student teaching modes that would provide future

graduates the ability to work with present-day information systems at organizations, innovative

manufacturing industries and research centers, in relevance with employers’ demands and the

popularity demands of the labour market. This brings about the neccesity of training highly qualified

specialists in Mathematics and Computer Science.

E-learning Model for Teaching Bachelors

Information Competence of Bachelors Specializing in Mathematics and Computer Science, and

its structure

The information competence of bachelors specializing in mathematics and IT, can be viewed as an

integral personal quality manifested in the ability to operate on different kinds of information. This can

be aided with the engagement of stat-of-the-art IT media in the process of professional activity.

Information competence can also been seen as the ability and willingness to continuously improve

ways of professional implementation in accordance with the changes occurring in the area of

information technology. The structure of the considered competence consists of three components:

knowledge, operational activity, and personality. The information competence is a major part of

professional competence of bachelors, specializing in mathematics and computer science. Its formation

requires creating of a special model, based on applying numbers of particular pedagogical approaches.

A variant of such five-modules model has been designed to for the purpose of this work.

Model structure and contents

To form and develop information competence in intending bachelors specializing in mathematics

and computer sciences, we have worked out a corresponding pedagogical model based on applying

complex integrative, differentiated, learner-centered, competent, and vocationally oriented approaches.

It comprises of 5 related modules: purpose, methodology, content, organization of process, and

assessment.

Implementation of the model implies resorting to e-teaching media. To organize this, a range of e-

learning resources has been devised in computer related disciplines studied by intending bachelors

specializing in mathematics and information technologies.

A pool of e-learning resources presented in the MOODLE system allows to compile a professional

thesaurus of bachelors, thus creating a unified system of e-learning. Theoretical material and tasks

presented in those courses can form a unified problematic field of professional activity and education.

All this represents a set of mechanisms for the implementation of integrative and profession-oriented

approaches (Makletsov, 2013).

In our model, we resort to tiered assignments, such as mechanisms for implementation of

differentiated approach. They can consist of several parts, only one of which, relatively simple, is

mandatory. Students are given an opportunity to choose out of the array of supplementary assignments,

in order to receive additional credits necessary for future excellent grades. This allows students to fulfil

the assignments they consider interesting, and less ambiguos. Besides, e-courses can contain a set of

several alternative assignments. This variability allows to draw out an individualized learning design

for each student, thus raising an interest in the subject of study.

Our model lays emphasis on the individual peculiarities of learners; enhancing their cognitive

processes, and computer-assisted self-efficiency. The influence of individual peculiarities of graduates

towards information technologies, job search, employment, diligence, and flexibility in the process of

professional activity has been demonstrated in the works of many scholars (e.g. Hsu, W. K., & Huang S.

S., 2006). Application of various active and interactive learning methods, such as, business games and

web quests, serves this purpose. Due to this, intending bachelors accumulate the necessary experience

of project activity and team work.

The studying style (as well as cognitive style) of indivual students, becomes prior for the successful

formations of professional competence and, in particular, information competence of those

specializing in mathematics and IT. A studying style is an individual or peculiar way of learning. This

style can be purposefully developed and adjusted through applied learning methods and educational

technologies. It should be noted, that learner-centered educational process implies taking into account

the characteristics of each student, but it does not imply the complete and absolute adjustment to the

inclinations of students, thereby restructuring the entire training activities. Taking individual

differences of bachelors into account within the framework of common educational process is most

expedient. Its implementation requires providing students with the opportunity to choose their own

path of learning within a unified educational program. The applying of e-learning extends the

capabilities of the individualized educational processes, by simplifying its organization technology, e.g.

by adding various additional information and learning process automations. Thus, modern electronic

educational tools provide opportunities for the organization of learner-centered education. That’s why

they are an effective way of formation of personal cognitive styles. It is needed for form educational

capabilities towards self-development, that, in turn, develops the competence of the students

professionally (Makletsov, & Khabibullona, 2015).

Monitoring the learning results is implicated, in accordance with the established system of

assessment of assignments based on different levels of complexity, aided by the systems of automated

intermediate and final testing, practical tasks checking, psychological tests, and conducting surveys.

Each of the mentioned monitoring methods evaluates the level of development of information

competences of bachelors specializing in Mathematics and Computer Science.

Evaluation of Effectiveness of the Model Design

In order to conduct checking of the effectiveness of implementation of the e-learning model into

educational process of intending bachelors specializing in «Mathematics and Computer Science», we

conducted a pedagogical experiment. Its participants were 140 students of the Institute of Mathematics

and Mechanics, named after N. Lobachevsky at Kazan Federal University.

During the experiment conducted for two years, lectures were delivered in two classes;

experimental, and control groups respectively.

At the beginning of the formative experiment, as well as at the end of each academic year (after

studying of each training course), both the control and experimental groups had: assessment of the

students’ knowledge in the studied subjects at the time of examinations in the form of tests, assessment

of laboratory tasks, submission of assignments, tests; with the aim of detecting the enhancement of

individual peculiarities students' cognitive processes, and surveys; with the aim of determining the

level of their self-efficiency.

While over 70% students of experimental groups on average had insufficient level of the

development of information competence prior to the experiment, the amount of such students

decreased almost to 16% after conducting the experiment. The same values in control groups changed

from 66% just to about 54%. Also, the number of students, having a high level of information

competence, grew in the experimental groups from 3.6% to 32%. In control groups the values changed

only from 6% to 11% . (Makletsov & Starshinova, 2015).

The tables 1 and 2 demonstrates the amount of students with different levels of information

competence development, prior to the experiment and after the experiment.

Table 1 - The amount of students of experimental groups with the different levels of information competence development.
See Full Size >
Table 2 - The amount of students of control groups with the different levels of information competence development.
See Full Size >

Conclusion

The designed model involves constructing the contents and structures of the educational processes

of bachelors specializing in mathematics and IT, using unified e-learning system, selecting theoretical

materials, developing a set of leveled practical vocationally oriented tasks in accordance with the set of pedagogical approaches and principles, as well as formation of the personal cognitive style. The

conducted statistical analysis employing the χ2 hypothesis test and Student's t-test shows that

applications of the developed model increases the level of formed components of information

competence in intending bachelors, thus proving it effective.

References

  • Hsu, W. K. & Huang S. S. (2006). Determinants of computer self-efficacy — an examination of learning motivations and learning environments. Journal of Educational Computing Research. 2006. 35(3). 245-265.

  • Makletsov, S. V. (2013). Training of undergraduates of mathematics and computer sciences and information technologies based on an integrated approach. Paper presented at the 2013 International Conference on Interactive Collaborative Learning, ICL 2013, 135-137. doi:

  • Makletsov, S. V., & Khabibullina, G. Z. (2015). Specific features of the information competence formation of bachelors, specializing in physics, mathematics and computer sciences. Kazan Pedagogical Journal (#3 (110)), 109-112. (In Russian).

  • Makletsov, S. V. & Starshinova, T. A. (2015). E-learning as a new mean of implementing an integrated and differentiated approaches (showed on example of undergraduates, enrolled in Mathematics and Computer Sciences). Kazan: KNRTU. (In Russian).

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About this article

Publication Date

20 July 2016

eBook ISBN

978-1-80296-011-2

Publisher

Future Academy

Volume

12

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Edition Number

1st Edition

Pages

1-451

Subjects

Teacher, teacher training, teaching skills, teaching techniques, organization of education, management of education, FLT, language, language teaching theory, language teaching methods

Cite this article as:

Makletsov, S. V., & Khabibullina, G. Z. (2016). E-learning Model for Bachelors, Specializing in Mathematics and IT. In R. Valeeva (Ed.), Teacher Education - IFTE 2016, vol 12. European Proceedings of Social and Behavioural Sciences (pp. 115-119). Future Academy. https://doi.org/10.15405/epsbs.2016.07.19