Archives
Current issue
About
About us
Aims and Scope
Abstracting and Indexing
Editorial Office
Open Access Policy
Publication Ethics
Journal History
Publisher
Follow us: Twitter
Contact
For Authors
Editorial Policy
Peer Review Policy
Manuscript Preparation Guidelines
Copyright & Licencing
Publication Fees
Fee Waiver Policy for Doctoral Students
EJMSTE Language Editing Service
More
Statistics
Special Issues
Special Issue Announcements
Published Special Issues
RESEARCH PAPER
Move to Smart Learning Environment: Exploratory Research of Challenges in Computer Laboratory and Design Intelligent Virtual Laboratory for eLearning Technology
1
School of Computer Science, National College of Business Administration & Economics, Lahore, PAKISTAN
2
Department of Computer Science, Virtual University of Pakistan, Lahore, PAKISTAN
3
Department of Computer Science, Forman Christian College, Lahore, PAKISTAN
4
Department of CS & E, UET Lahore, PAKISTAN
5
Department of Statistics and Computer Science, UVAS, Lahore, PAKISTAN
Online publication date: 2018-02-04
Publication date: 2018-02-04
EURASIA J. Math., Sci Tech. Ed 2018;14(5):1645-1662
KEYWORDS
human-computer interactionseducational technologyintelligent agentvirtual laboratorycognitive architecture
ABSTRACT
The university’s computer laboratory is currently one of the most challenging aspects when imparting practical tasks with regards to the education technology (ET) enhancement. This study intends to observe the issues confronted by students while performing tasks in the laboratory in different educational modes. The online survey is conducted using quantitative and qualitative research instruments to evaluate the students’ perspectives. This exploratory work has emphasized the practical issues such as an insufficient time constraint, and instruments, geographical needs, financial concerns, and unavailability of subject specialists to cater for relevant issues about a particular course. The sample size was (N= 161) drawn from a stratified sampling method for analysis of four strata. This research addresses these problems in the laboratory with an aim to improve the student’s practical skills as well as their investigation-based learning. It is needed for practical based courses, through experimentation with the help of artificial intelligence (AI) paradigms. The design science methodology is adopted, it presents the conception of an Intelligent Virtual Laboratory (IVL) based on pedagogical agent-based cognitive architecture (PACA). This IVL provides the level of excellence of laboratory needs by enhancing the ET which students can efficiently perform practical tasks online at anywhere. The results showed that IVL has a significant model for enhancing the learning to students and recommendations for further research implementation.
REFERENCES (25)
1.
Anderson, J. R. (2005). Human symbol manipulation within an integrated cognitive architecture. Cognitive Science, 29(3), 313–341. https://doi.org/10.1207/s15516....
2.
Broisin, J., Venant, R., & Vidal, P. (2015). Lab4CE: a Remote Laboratory for Computer Education. International Journal of Artificial Intelligence in Education, 1–27. http://doi.org/10.1007/s40593-....
3.
Bull, S., & Kay, J. (2016). SMILI: A Framework for Interfaces to Learning Data in Open Learner Models, Learning Analytics and Related Fields. International Journal of Artificial Intelligence in Education, 26(1), 293–331. https://doi.org/10.1007/s40593....
4.
Diwakar, S., Kumar, D., Radhamani, R., Sasidharakurup, H., Nizar, N., Achuthan, K.,Nair, B. (2016). Complementing education via virtual labs: Implementation and deployment of remote laboratories and usage analysis in south indian villages. International Journal of Online Engineering, 12(3), 8–15. https://doi.org/10.3991/ijoe.v....
5.
Duch, W., Oentaryo, R., & Pasquier, M. (2008). Cognitive Architectures: Where do we go from here? Proceedings of the 2008 Conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference, 171, 122–136.
6.
Franklin, S., & Ferkin, M. (2006). An Ontology for Comparative Cognition: A Functional Approach. Comparative Cognition & Behavior Reviews, 1, 36–52. https://doi.org/10.3819/ccbr.2....
7.
Gilbert, S. B., Blessing, S. B., & Guo, E. (2015). Authoring Effective Embedded Tutors: An Overview of the Extensible Problem Specific Tutor (xPST) System. International Journal of Artificial Intelligence in Education, 25(3), 428–454. https://doi.org/10.1007/s40593....
8.
Guest, G., MacQueen, K. M., & Namey, E. E. (2011). Applied thematic analysis. Thousand Oaks, CA: Sage.
9.
Langley, P., Laird, J. E., & Rogers, S. (2009). Cognitive architectures: Research issues and challenges. Cognitive Systems Research, 10(2), 141–160. https://doi.org/10.1016/j.cogs....
10.
Lehman, J. F., Laird, J., & Rosenbloom, P. (2006). A Gentle Introduction to Soar, an Architecture for Human Cognition: 2005 Update. University of Michigan.
11.
Luo, Y., & Bu, J. (2016). How valuable is information and communication technology? A study of emerging economy enterprises. Journal of World Business, 51(2), 200–211. https://doi.org/10.1016/j.jwb.....
12.
Munawar, S., Khalil Toor, S., Aslam, M., Martinez Enriquez, A., & Hamid, M. (2017). Pedagogical Agent-based Cognitive Architecture for an Intelligent Virtual Laboratory Cloud-based HCI E-learning Environment. International Conference on Open and Innovative Education (ICOIE 2017).
13.
Nye, B. D. (2015). Intelligent tutoring systems by and for the developing world: A review of trends and approaches for educational technology in a global context. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593....
14.
Nye, B. D. (2016). ITS, the End of the World as We Know It: Transitioning AIED into a Service-Oriented Ecosystem. International Journal of Artificial Intelligence in Education, 26(2), 756–770. https://doi.org/10.1007/s40593....
15.
Ozana, S., & Docekal, T. (2017, June). The concept of virtual laboratory and PIL modeling with REX control system. In Process Control (PC), 2017 21st International Conference on (pp. 98-103). IEEE.
16.
Pinkwart, N. (2016). Another 25 Years of AIED? Challenges and Opportunities for Intelligent Educational Technologies of the Future. International Journal of Artificial Intelligence in Education, 26(2), 771–783. https://doi.org/10.1007/s40593....
17.
Porayska-Pomsta, K. (2016). AI as a Methodology for Supporting Educational Praxis and Teacher Metacognition. International Journal of Artificial Intelligence in Education, 26(2), 679–700. https://doi.org/10.1007/s40593....
18.
Potkonjak, V., Gardner, M., Callaghan, V., Mattila, P., Guetl, C., Petroviü, V. M., & Jovanoviü, K. (2016). Virtual Laboratories for Education in Science, Technology, and Engineering: a Review. Computers & Education, 95, 309–327. https://doi.org/10.1016/j.comp....
19.
Rus, V., & Stef˘, D. (2011). Non-intrusive assessment of learners’ prior knowledge in dialogue-based intelligent tutoring systems. Rus an Stef˘ Anescu Smart Learning Environments, 3(2). https://doi.org/10.1186/s40561....
20.
Samsonovich, A. V. (2012). On a roadmap for the BICA Challenge. Biologically Inspired Cognitive Architectures, 1, 100–107. https://doi.org/10.1016/j.bica....
21.
Samsonovich, A. V., De Jong, K. a., Kitsantas, A., Peters, E. E., Dabbagh, N., & Layne Kalbfleisch, M. (2008). Cognitive constructor: An intelligent tutoring system based on a biologically inspired cognitive architecture (BICA). Frontiers in Artificial Intelligence and Applications, 171(1), 311–325.
22.
Samsonovich, A. V., Kitsantas, A., O’Brien, E., & De Jong, K. A. (2015). Cognitive Processes in Preparation for Problem Solving. Procedia Computer Science, 71, 235–247. https://doi.org/10.1016/j.proc....
23.
Stark, E., Bistak, P., Kozak, S., & Kucera, E. (2017, June). Virtual laboratory based on Node. js technology. In Process Control (PC), 2017 21st International Conference on (pp. 386-391). IEEE.
24.
Vaishnavi, V. K., & Kuechler Jr, W. (2007). Design science research methods and patterns: innovating information and communication technology. Boca Raton, FL: Auerbach Publications.
25.
Zhuoyuan, W., Lingong, L., Ping, Y., & Yigang, W. (2016, August). Virtual laboratory technology for educational electromagnetics. In Information and Automation (ICIA), 2016 IEEE International Conference on (pp. 997-1000). IEEE.
Share
RELATED ARTICLE
| eISSN: | 1305-8223 |
| ISSN: | 1305-8215 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
