The research is aimed at theoretical substantiation, development and experimental verification of methods of applying mobile technologies by university students. The research objective implies adapting audience response systems and mobile tools of multimedia development to be used in the classroom environment at universities. The research object is application of mobile ICT to the training process. The research subject is methods of applying audience response systems and mobile tools to conducting practical classes at the university. There are analyzed Ukrainian and foreign researches into the issues of mobile ICT application to the university students training. The authors have developed methods of applying audience response systems by taking Plickers as an example and mobile tools of multimedia development through using augmented reality tools. There is comparative assessment of functionality of audience response systems and mobile tools of developing multimedia with augmented reality. Efficiency of the developed technology is experimentally verified and confirmed.

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Exploring student uses of mobile technologies in university classrooms: audience response systems and development of multimedia

The research aims to theoretically justify and experimentally verify selection of mobile ICT for learning informatics to future professionals in engineering pedagogy. The research tasks include selecting groups of informatics subjects and mobile ICT tools for learning future professionals in engineering pedagogy. The research object involves selection of mobile ICT for the training process. The re-search subject is selection of mobile ICT for learning informatics to future professionals in engineering pedagogy. The research results imply analysis of the national and foreign researches into mobile ICT for learning informatics. The latest publications concerning selection of mobile ICT for teaching Informatics subjects (Mobile Learning Management Systems, Mobile Modeling and Programming Environments, Mobile Database Management Systems, Mobile Multimedia Authoring Tools, Audience Response Systems) are analyzed. Informatics subjects are united into 19 groups, mobile ICT tools – into five groups. The experimental research is conducted according to the syllabuses for Speciality 015.10 “Professional Education (Computer Technologies)”. The expert assessment results for each of the content blocks of informatics subjects allow determining leading and auxiliary mobile ICT teaching tools. 

Selection of Mobile ICT for Learning Informatics of Future Professionals in Engineering Pedagogy

Tooth wear, microwear and diet in elasmobranchs

Abstract We studied the enlargement of the upper third molar (M3), with respect to the upper second molar in sigmodontine rodents, the largest subfamily of living cricetids. M3 is enlarged in extant and extinct members of at least six tribes (Andinomyini, Euneomyini, Oryzomyini, Phyllotini, Reithrodontini and Sigmodontini), all of them also sharing hypsodonty, planate crowns and overall dental simplification in the context of Sigmodontinae. Enlargement is expressed in four ways, including simplification or modest complication of occlusal design on a single plane. M3 enlargement in sigmodontines is primarily associated with increasing herbivory rather than strictly with phylogeny, and thus presents a classic example of evolutionary convergence.

Third upper molar enlargement in sigmodontine rodents (Cricetidae): morphological disparity and evolutionary convergence

1. Altayeb, B., Damevski, K.: Utilizing and enhancing software modeling environments to
teach mobile application design. Journal of Computing Sciences in Colleges 28(6), 57–64
(2013). doi: 10.5555/2460156.2460168
2. Bykov, V.: Mobilnyi prostir i mobilno oriientovane seredovyshche internet-korystuvacha:
osoblyvosti modelnoho podannia ta osvitnoho zastosuvannia (The mobile space and mobile
targeting environment for internet users: features of model submission and using in
education). Information technologies in education 17, 9–37 (2013). doi:10.14308/ite000445
3. Chan, T.F.I., Borja, M., Welch, B., Batiuk, M.E.: Predicting the Probability for Faculty
Adopting an Audience Response System in Higher Education. Journal of Information
Technology Education: Research 15, 395–407 (2016)
4. Devers, C.J., Panke, S.: Learning with Mobile Devices: An Overview. Journal of Interactive
Learning Research 29(3), 257–269 (2018)
5. Eric, M., Mitrovic, S., Stefanovic, M., Đorđevic, A.: Tribology Database as Platform for
Mobile Database and use of Mobile Technologies. Tribology in Industry 38(2), 267–275
(2016)
6. Gezgin, D.M.: The Effect of Mobile Learning Approach on University Students' Academic
Success for Database Management Systems Course. International Journal of Distance
Education Technologies 17(1), 15–30 (2019). doi:10.4018/IJDET.2019010102
7. Guo, M., Qian, K., Yang, L.: Hands-On Labs for Learning Mobile and NoSQL Database
Security. In: IEEE 40th Annual Computer Software and Applications Conference
(COMPSAC), Atlanta, GA, 2016, vol. 2, pp. 606–607. IEEE (2016).
doi:10.1109/COMPSAC.2016.126
8. Han, I., Shin, W.S.: The use of a mobile learning management system and academic
achievement of online students. Computers & Education 102, 79–89 (2016).
doi:10.1016/j.compedu.2016.07.003
9. Kersten, S.: Approaches of Engineering Pedagogy to Improve the Quality of Teaching in
Engineering Education. In: Drummer, J., Hakimov, G., Joldoshov, M., Kohler, T.,
Udartseva, S. (eds.) Vocational Teacher Education in Central Asia. Technical and
Vocational Education and Training: Issues, Concerns and Prospects, vol. 28, pp. 129–139.
Springer, Cham (2018). doi:10.1007/978-3-319-73093-6_14
10. Lordan Gomis, F.J.: Programming models for mobile environments. Ph. D. thesis,
Universitat Politecnica de Catalunya (2018)
11. Martinovic, D., Pugh, T., Magliaro, J.: Pedagogy for Mobile ICT Learning Using VideoConferencing Technology. Interdisciplinary Journal of Information, Knowledge, and
Management 5, 375–394 (2010). doi:10.28945/1307
12. Moorleghen, D.M., Oli, N., Crowe, A.J., Liepkalns, J.S., Self, C.J., Doherty, J.H.: Impact of
automated response systems on in-class cell phone use. Biochemistry and Molecular
Biology Education 47(5), 538–546 (2019). doi:10.1002/bmb.21257
13. Rashevska, N., Tkachuk, V.: Technological conditions of mobile learning at high school.
Metallurgical and Mining Industry 3, 161–164 (2015)
14. Sanz-Martinez, L., Er, E., Martinez-Mones, A., Dimitriadis, Y., Bote-Lorenzo, M.L.:
Creating collaborative groups in a MOOC: a homogeneous engagement grouping approach.
Behaviour & Information Technology 38(11), 1107–1121 (2019).
doi:10.1080/0144929X.2019.1571109
15. Sell, R., Ruutmann, T., Seiler, S.: Inductive Teaching and Learning in Engineering
Pedagogy on the Example of Remote Labs. International Journal of Engineering Pedagogy.
4(4), 12–15 (2014). doi:10.3991/ijep.v4i4.3828
16. Striuk, A.M., Rassovytska, M.V., Shokaliuk, S.V.: Using Blippar Augmented Reality
Browser in the Practical Training of Mechanical Engineers. In: Ermolayev, V., SuarezFigueroa, M.C., Yakovyna, V., Kharchenko, V., Kobets, V., Kravtsov, H., Peschanenko, V.,
Prytula, Ya., Nikitchenko, M., Spivakovsky A. (eds.) Proceedings of the 14th International
Conference on ICT in Education, Research and Industrial Applications. Integration,
Harmonization and Knowledge Transfer (ICTERI, 2018), Kyiv, Ukraine, 14-17 May 2018,
vol. II: Workshops. CEUR Workshop Proceedings 2104, 412–419. http://ceur-ws.org/Vol2104/paper_223.pdf (2018). Accessed 29 Feb 2020
17. Tjondronegoro, D. (ed.): Tools for mobile multimedia programming and development. IGI
Global, Hershey (2013)
18. Tkachuk, V.V.: Mobile information and communication technologies for learning
informatics of future professionals in engineering pedagogy. Dissertation, Kryvyi Rih State
Pedagogical University (2019)
19. Tvenge, N., Martinsen, K.: Selection of ICT-tools for Manufacturing Education. Procedia
CIRP 41, 1096–1100 (2016). doi:10.1016/j.procir.2015.10.008
20. Yechkalo, Yu.V., Tkachuk, V.V., Hruntova, T.V., Brovko, D.V., Tron, V.V.: Augmented
Reality in Training Engineering Students: Teaching Techniques. In: Ermolayev, V., Mallet,
F., Yakovyna, V., Kharchenko, V., Kobets, V., Kornilowicz, A., Kravtsov, H., Nikitchenko,
M., Semerikov, S., Spivakovsky, A. (eds.) Proceedings of the 15th International Conference
on ICT in Education, Research and Industrial Applications. Integration, Harmonization and
Knowledge Transfer (ICTERI, 2019), Kherson, Ukraine, June 12-15 2019, vol. II:
Workshops. CEUR Workshop Proceedings 2393, 952–959. http://ceur-ws.org/Vol2393/paper_337.pdf (2019). Accessed 13 Feb 2020
21. Yousuf, M.I.: Effectiveness of mobile learning in distance education. Turkish Online Journal
of Distance Education 8(4), 114–124 (2007)

/pdf/selection-of-mobile-ict-for-learning-informatics-of-future-esfvponzzc.pdf

Selection of Mobile ICT for Learning Informatics of Future Professionals in Engineering Pedagogy.

https://iubmb.onlinelibrary.wiley.com/doi/pdf/10.1002/bmb.21257

Impact of automated response systems on in-class cell phone use.

The relationship between tooth roots and diet is relatively unexplored, although a logical relationship between harder diets and increased root surface area (RSA) is suggested. This study addresses the interaction between tooth morphology, diet, and bite force in small mammals, phyllostomid bats. Using micro computed tomography (microCT), tooth root morphology of two fruit-eating species (Carollia perspicillata and Chiroderma villosum) and two insect-eating species (Mimon bennettii and Macrotus californicus) was compared. These species did not differ in skull or estimated body size. Food hardness, rather than dietary classification, proved to be the strongest grouping factor, with the two insectivores and the seed-processing frugivore (C. villosum) having significantly larger RSAs. Bite force was estimated using skull measurements; bite force significantly correlated with tooth RSA but not with body size. Although the three durophagous species did exhibit larger crowns, the area of the occlusal surface did not vary among the four species. There was a linear relationship between root size and crown size, indicating that the roots were not expanded disproportionately; instead the entire tooth was larger in the hard diet species. MicroCT allows the nondestructive quantification of previously difficult-to-access tooth morphology; this method shows the potential for tooth roots to provide valuable dietary, behavioral, and ecological information in small mammals. J. Morphol. 276:1065-1074, 2015. © 2015 Wiley Periodicals, Inc.

Dental root size in bats with diets of different hardness

The relationship between tooth roots and diet is largely unexplored, although a logical relationship between harder diets and increased root surface area is suggested. Existing studies of primates, carnivorans and phyllostomid bats have indicated a relationship between diet hardness, bite force and tooth root surface area. The goal of this study was to determine whether root surface area can act as a potential surrogate for bite force and diet in cricetid rodents. Using microcomputed tomography (microCT), tooth root morphology from six species of rodents, two grass eaters (Calomys callosus and Reithrodon auritus), two seed eaters (Phyllotis darwini and Ochrotomys nuttalli) and two insect eaters (Akodon azarae and Oxymycterus hispidus) were compared. Similar to other studies, these rodents did exhibit differences in tooth root surface area based on diet classification, but food hardness did not seem to be a factor. Grass-eating species showed significantly larger roots relative to the other diet groups (p = 0.001). Bite force was estimated using skull measurements. Seed eaters were found to have a larger bite force, followed by grass and insect eaters, though the trend did not reach statistical significance (p = 0.058). No strong relationship was found between estimated bite force and tooth root surface area. In this study, the mechanics of grass eating seem to have a stronger effect on tooth root surface area than bite force. microCT allows the nondestructive quantification of previously difficult-to-access tooth morphology; this method shows the potential for tooth roots to provide valuable dietary, behavioral and ecological information in rodents.

Cricetid rodents: Is molar root morphology an indicator of diet?

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Impact of automated response systems on in-class cell phone use.

Dental root size in bats with diets of different hardness

Cricetid rodents: Is molar root morphology an indicator of diet?