CHEMISTRY TEACHING BY MEANS OF ICT-BASED RESOURCES WITH THE REGARD FOR PREFERRED LEARNING STYLES OF UNIVERSITY STUDENTS
DOI:
https://doi.org/10.14308/ite000375Keywords:
ICT-based learning resources, university chemistry teaching, Felder-Soloman preferred learning styleAbstract
Expediency and effectiveness of the use of various ICT-based learning resources in teaching of basic chemistry disciplines was studied. Preferred learning styles of 46 graduate students were assessed by the Felder-Soloman Index of Learning Styles. More than a half of 45 considered resources were found to be dependent on students’ preferred learning style. Certain corrections in the use of style-dependent resources are necessary to improve conformity with students’ learning preferences.
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References
<uk>
1. Mathematics with a computer: The teacher's guide / Responsible editor: Zhaldak M.I. / M.I. Zhaldak, Yu.V. Goroshko, E.F. Vinnychenko, G.Y. Tsybko. – K.: National Pedagogical Drahomanov University. – 2012. – 251 p.
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</uk>
<en>
1. Mathematics with a computer: The teacher's guide / Responsible editor: Zhaldak M.I. / M.I. Zhaldak, Yu.V. Goroshko, E.F. Vinnychenko, G.Y. Tsybko. – K.: National Pedagogical Drahomanov University. – 2012. – 251 p.
2. Spivakovs'kij O.V. Teorija j praktika vikoristannja informacijnix texnologij u procesi pidgotovki studentiv matematichnix special'nostej: Monografija. – Xerson: Ajlant. – 2003 – 229 s.
3. Morze N.V. Osnovi informacijno-komunikacijnix texnologij. – K.: Vidavnicha grupa BHV, 2008. – 352 s.
4. Zasobi informacijno-komunikacijnix texnologij jedinogo informacijnogo prostoru sistemi osviti Ukrajini: monografija / Nauk. red. V.Ju. Bikov / V.V. Lapins'kij, A.Ju. Pilipchuk, M.P. Shishkina ta in. – K.: Pedagogichna dumka. – 2010. – 160 s.
5. Drysdale M.T.B. Cognitive learning styles and academic performance in 19 first-year university courses: successful students versus students at risk / M.T.B. Drysdale, J.L. Ross, R.A. Schulz // Journal of Education for Students Placed at Risk. – 2001. – V.6, № 3. – P. 271–289.
6. Patterson D.A. Impact of a multimedia laboratory manual: Investigating the influence of student learning styles on laboratory preparation and performance over one semester / D.A. Patterson // Education for Chemical Engineers. – 2011. – V. 6. – P. e10–e30.
7. Franzoni-Velázquez A.L. A Quantitative Analysis of Student Learning Styles and Teacher Teachings Strategies in a Mexican Higher Education Institution / A.L. Franzoni-Velázquez, F. Cervantes-Pérez, S. Assar // Journal of Applied Research and Technology. – 2012. – V. 10, № 3. – P. 289–308.
8. Franzoni A.L. Student Learning Styles Adaptation Method Based on Teaching Strategies and Electronic Media / A.L. Franzoni, S. Assar // Journal of International Forum of Educational Technology & Society. – 2009. – V. 12, № 4. – P. 15–29.
9. Felder R.M. Index of Learning Styles Questionnaire, North Carolina State University / R.M. Felder, B.A. Soloman [Elektronnyj resurs]. – Rezhim dostupu: http://www.engr.ncsu.edu/learningstyles/ilsweb.html [retrieved 10 Feb 2013].
10. Felder R. Understanding Student Differences / R. Felder, R. Brent // Journal of Engineering Education. – 2005. – V. 94, № 1. – P. 57–72.
</en>
1. Mathematics with a computer: The teacher's guide / Responsible editor: Zhaldak M.I. / M.I. Zhaldak, Yu.V. Goroshko, E.F. Vinnychenko, G.Y. Tsybko. – K.: National Pedagogical Drahomanov University. – 2012. – 251 p.
2. Співаковський О.В. Теорія й практика використання інформаційних технологій у процесі підготовки студентів математичних спеціальностей: Монографія. – Херсон: Айлант. – 2003 – 229 с.
3. Морзе Н.В. Основи інформаційно-комунікаційних технологій. – К.: Видавнича група BHV, 2008. – 352 с.
4. Засоби інформаційно-комунікаційних технологій єдиного інформаційного простору системи освіти України: монографія / Наук. ред. В.Ю. Биков / В.В. Лапінський, А.Ю. Пилипчук, М.П. Шишкіна та ін. – К.: Педагогічна думка. – 2010. – 160 с.
5. Drysdale M.T.B. Cognitive learning styles and academic performance in 19 first-year university courses: successful students versus students at risk / M.T.B. Drysdale, J.L. Ross, R.A. Schulz // Journal of Education for Students Placed at Risk. – 2001. – V.6, № 3. – P. 271–289.
6. Patterson D.A. Impact of a multimedia laboratory manual: Investigating the influence of student learning styles on laboratory preparation and performance over one semester / D.A. Patterson // Education for Chemical Engineers. – 2011. – V. 6. – P. e10–e30.
7. Franzoni-Velázquez A.L. A Quantitative Analysis of Student Learning Styles and Teacher Teachings Strategies in a Mexican Higher Education Institution / A.L. Franzoni-Velázquez, F. Cervantes-Pérez, S. Assar // Journal of Applied Research and Technology. – 2012. – V. 10, № 3. – P. 289–308.
8. Franzoni A.L. Student Learning Styles Adaptation Method Based on Teaching Strategies and Electronic Media / A.L. Franzoni, S. Assar // Journal of International Forum of Educational Technology & Society. – 2009. – V. 12, № 4. – P. 15–29.
9. Felder R.M. Index of Learning Styles Questionnaire, North Carolina State University / R.M. Felder, B.A. Soloman [Электронный ресурс]. – Режим доступу: http://www.engr.ncsu.edu/learningstyles/ilsweb.html [retrieved 10 Feb 2013].
10. Felder R. Understanding Student Differences / R. Felder, R. Brent // Journal of Engineering Education. – 2005. – V. 94, № 1. – P. 57–72.
</uk>
<en>
1. Mathematics with a computer: The teacher's guide / Responsible editor: Zhaldak M.I. / M.I. Zhaldak, Yu.V. Goroshko, E.F. Vinnychenko, G.Y. Tsybko. – K.: National Pedagogical Drahomanov University. – 2012. – 251 p.
2. Spivakovs'kij O.V. Teorija j praktika vikoristannja informacijnix texnologij u procesi pidgotovki studentiv matematichnix special'nostej: Monografija. – Xerson: Ajlant. – 2003 – 229 s.
3. Morze N.V. Osnovi informacijno-komunikacijnix texnologij. – K.: Vidavnicha grupa BHV, 2008. – 352 s.
4. Zasobi informacijno-komunikacijnix texnologij jedinogo informacijnogo prostoru sistemi osviti Ukrajini: monografija / Nauk. red. V.Ju. Bikov / V.V. Lapins'kij, A.Ju. Pilipchuk, M.P. Shishkina ta in. – K.: Pedagogichna dumka. – 2010. – 160 s.
5. Drysdale M.T.B. Cognitive learning styles and academic performance in 19 first-year university courses: successful students versus students at risk / M.T.B. Drysdale, J.L. Ross, R.A. Schulz // Journal of Education for Students Placed at Risk. – 2001. – V.6, № 3. – P. 271–289.
6. Patterson D.A. Impact of a multimedia laboratory manual: Investigating the influence of student learning styles on laboratory preparation and performance over one semester / D.A. Patterson // Education for Chemical Engineers. – 2011. – V. 6. – P. e10–e30.
7. Franzoni-Velázquez A.L. A Quantitative Analysis of Student Learning Styles and Teacher Teachings Strategies in a Mexican Higher Education Institution / A.L. Franzoni-Velázquez, F. Cervantes-Pérez, S. Assar // Journal of Applied Research and Technology. – 2012. – V. 10, № 3. – P. 289–308.
8. Franzoni A.L. Student Learning Styles Adaptation Method Based on Teaching Strategies and Electronic Media / A.L. Franzoni, S. Assar // Journal of International Forum of Educational Technology & Society. – 2009. – V. 12, № 4. – P. 15–29.
9. Felder R.M. Index of Learning Styles Questionnaire, North Carolina State University / R.M. Felder, B.A. Soloman [Elektronnyj resurs]. – Rezhim dostupu: http://www.engr.ncsu.edu/learningstyles/ilsweb.html [retrieved 10 Feb 2013].
10. Felder R. Understanding Student Differences / R. Felder, R. Brent // Journal of Engineering Education. – 2005. – V. 94, № 1. – P. 57–72.
</en>
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Published
01.04.2013
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Derkach, T. (2013). CHEMISTRY TEACHING BY MEANS OF ICT-BASED RESOURCES WITH THE REGARD FOR PREFERRED LEARNING STYLES OF UNIVERSITY STUDENTS. Journal of Information Technologies in Education (ITE), (14), 048–057. https://doi.org/10.14308/ite000375
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