Interactive Advising with Bots: Improving Academic Excellence in Educational Establishments

Student advising services are often regarded as the mainstream vehicle for promoting relationships, understanding, and performance in academic institutions especially at the tertiary level. However, it is often fraught with challenges in developing countries in respect of insufficient supporting manpower and attendant high cost of running effective services. In institutions where the services exist, not all students benefit from it as a result of some factors such as: the sub-optimal performance of the advising personnel; negative psychological complex in students arising from unusual egocentrism (especially in those students who are regarded as “low performers” and would prefer not to be openly confronted); handicapped students especially those students with visible handicaps e.g. speech problems, etc. This paper is the first part of a study aimed at creating a balance in the foregoing situations by presenting a design of a faceless automated “ AdvisorBot ” based on the bot framework. The design reflects a virtual support system model which could be adopted to enhance student support and course advising efficiency. Analysis of the existing system in most tertiary institutions in Nigeria reveals that student support services actually exist though not efficient in the sense that there are seldom specialized units/departments dedicated to this function in majority of the Institutions especially the public institutions where student advising is the work of academic staff in the various departments. The design follows a mix of the agent and object-oriented approaches and produces an implementation-ready specification whose full implementation would effectively support students during their studies. The system facilitates the process of advising by providing quick and easy access to valuable information, and giving important feedback on several issues involved in student advisement, which otherwise would take considerable time.

[1]  J. Pizzolato,et al.  Achieving college student possible selves: navigating the space between commitment and achievement of long-term identity goals. , 2006, Cultural diversity & ethnic minority psychology.

[2]  Nobuhiro Ito,et al.  Action decision with incomplete information: a temporal database approach , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[3]  Howard Barringer,et al.  An introduction to temporal logic , 1996 .

[4]  Michael Winikoff,et al.  A methodology for agent oriented software design , 2001 .

[5]  Abder Koukam,et al.  Towards an Agent-Oriented Modeling and Evaluation Approach For Vehicular Systems Security , 2014, ArXiv.

[6]  D. Z. Deniz,et al.  An Academic Decision-Support System Based on Academic Performance Evaluation for Student and Program Assessment* , 2002 .

[7]  Patrick Prosser,et al.  A Student Advisory System: a configuration problem for constraint programming , 2002 .

[8]  Munirpallam A. Venkataramanan,et al.  OR Practice - An Efficient Decision Support System for Academic Course Scheduling , 1989, Oper. Res..

[9]  Mario Baum,et al.  Decision Support Systems A Knowledge Based Approach , 2016 .

[10]  Z. Tukiran,et al.  Development of intelligent planning system (INPLANS): An analysis of student's performance using fuzzy systems , 2007, Artificial Intelligence and Applications.

[11]  James Nga-Kwok Liu,et al.  iJADE Web-miner: an intelligent agent framework for Internet shopping , 2004, IEEE Transactions on Knowledge and Data Engineering.

[12]  Xiaoping Chen,et al.  Agent architecture: a survey on RoboCup-99 simulator teams , 2000, Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393).

[13]  Michael Wooldridge,et al.  Agent-based software engineering , 1997, IEE Proc. Softw. Eng..

[14]  Sarit Kraus,et al.  Diplomat, an agent in a multi agent environment: An overview , 1988, Seventh Annual International Phoenix Conference on Computers an Communications. 1988 Conference Proceedings.

[15]  D. Pokrajac,et al.  Interactive Virtual Expert System for Advising (InVEStA) , 2006, Proceedings. Frontiers in Education. 36th Annual Conference.

[16]  K. Subramanian,et al.  Intelligent agent platform for procurement , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[17]  Peter Rob,et al.  Database systems : design, implementation, and management , 2000 .

[18]  Peter Rob,et al.  Database systems - design, implementation, and management (2. ed.) , 1995 .

[19]  Daimler-Benz,et al.  Models and Methodology for Agent-Oriented Analysis and Design , 2000 .

[20]  Onyeka Emebo,et al.  Implementation of an Intelligent Course Advisory Expert System , 2014 .

[21]  Dunja Mladenic,et al.  Text-learning and related intelligent agents: a survey , 1999, IEEE Intell. Syst..

[22]  Faouzi Kamoun,et al.  A decision-tree-based system for student academic advising and planning in information systems programmes , 2010, Int. J. Bus. Inf. Syst..

[23]  Lynn Freeman Establishing Effective Advising Practices to Influence Student Learning and Success , 2008 .

[24]  William E. Wehrs,et al.  Using an Expert System to Support Academic Advising , 1992 .

[25]  Michael Luck,et al.  Agent technology, Computing as Interaction: A Roadmap for Agent Based Computing , 2005 .

[26]  Jean-Claude Martin,et al.  Architecture of a Framework for Generic Assisting Conversational Agents , 2006, IVA.

[27]  Jonathan P. Bowen,et al.  Formal Methods , 2019, Encyclopedia of Software Engineering.

[28]  Onn Shehory,et al.  Agent-Oriented Software Engineering , 2014, Springer Berlin Heidelberg.

[29]  Agent-Oriented Methodologies : An Introduction , 2016 .