Towards a computer-based learning environment: a pilot study in the use of FirstClass

ReCALL ◽  
2000 ◽  
Vol 12 (1) ◽  
pp. 19-26 ◽  
Author(s):  
JOHN GILLESPIE
Keyword(s):  
Pilot Study ◽  
Learning Environment ◽  
Computer Conferencing ◽  
Computer Based Learning ◽  
Wide Range ◽  
Computer Based ◽  
Student Reactions ◽  
The University ◽  
Further Development

This article outlines the nature of the FirstClass computer conferencing program and considers its effectiveness in helping to develop a computer-based learning environment in modern languages at the University of Ulster. A wide range of different transactions is outlined and surveys of staff and student reactions are assessed. Their positive responses demonstrate that FirstClass is effective in establishing such an environment, enable us to draw encouraging lessons from our experience and indicate exciting possibilities of immediate further development.

scholarly journals COMPUTER-BASED MANAGEMENT OF PRE-SERVICE TEACHERS' INDEPENDENT WORK

2021 ◽  
Vol 1 (45) ◽  
Author(s):  
Iryna Vakulenko ◽  
Myroslav Zhaldak
Keyword(s):  
Learning Environment ◽  
Information And Communication Technologies ◽  
Academic Staff ◽  
Functional Model ◽  
Communication Technologies ◽  
Computer Based Learning ◽  
Information And Communication ◽  
Computer Based ◽  
The University ◽  
Independent Work

The paper is devoted to the issue of managing independent work of students of pedagogical universities under the conditions of educational informatization. The conducted analysis of the literature identifies such key aspects of students’ independent work as independence (self-regulation) of students and its orientation by the teacher. This requires finding effective ways to manage educational and cognitive activities of students based on widespread use of information and communication technologies, especially under the current conditions of blended and distance learning, i.e., the transition to computer-based management of students’ independent work. There is a review of the main approaches to the defining of “independent work of students” and “management of students’ learning activities”. The functional model of management of students’ independent work is presented. Following the defined model, it is noted about the importance of achieving an effective combination of management of students’ cognitive activity by the teacher as well as their own self-management. The authors emphasize the importance of increasing the independence level at the end of learning disciplines and studying at the university. It is focused on need to use a specially designed learning environment of the university for the effective implementation of computer-based management of students’ independent work. Besides, there is a focus on necessity in preparing both academic staff and students for managing students’ independent work and using information and communication technologies. The main components of the computer-based learning environment for managing students' independent work of the National Pedagogical Dragomanov University are reviewed. The authors have analyzed the findings of the survey on the use of computer-based tools for managing students’ independent work by the academic staff. The main advantages of their use have been also clearly determined.Keywords: pre-service teachers; independent work of students; management of students' independent work; computer-based management; computer-based learning environment.

Estimating student ability and problem difficulty using item response theory (IRT) and TrueSkill

2019 ◽  
Vol 47 (2) ◽  
pp. 67-75 ◽  
Author(s):  
Youngjin Lee
Keyword(s):  
Data Mining ◽  
Item Response Theory ◽  
Problem Solving ◽  
Learning Environment ◽  
Item Response ◽  
Predictive Power ◽  
Response Theory ◽  
Content Type ◽  
Computer Based Learning ◽  
Computer Based

Purpose The purpose of this paper is to investigate an efficient means of estimating the ability of students solving problems in the computer-based learning environment. Design/methodology/approach Item response theory (IRT) and TrueSkill were applied to simulated and real problem solving data to estimate the ability of students solving homework problems in the massive open online course (MOOC). Based on the estimated ability, data mining models predicting whether students can correctly solve homework and quiz problems in the MOOC were developed. The predictive power of IRT- and TrueSkill-based data mining models was compared in terms of Area Under the receiver operating characteristic Curve. Findings The correlation between students’ ability estimated from IRT and TrueSkill was strong. In addition, IRT- and TrueSkill-based data mining models showed a comparable predictive power when the data included a large number of students. While IRT failed to estimate students’ ability and could not predict their problem solving performance when the data included a small number of students, TrueSkill did not experience such problems. Originality/value Estimating students’ ability is critical to determine the most appropriate time for providing instructional scaffolding in the computer-based learning environment. The findings of this study suggest that TrueSkill can be an efficient means for estimating the ability of students solving problems in the computer-based learning environment regardless of the number of students.

scholarly journals Computer Based Acquisitions System at Texas A&I University

1968 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Ned C. Morris
Keyword(s):  
First Year ◽  
Order Information ◽  
Disk Storage ◽  
Multiple Orders ◽  
Computer Based ◽  
The University ◽  
Future Work ◽  
Further Development

<span>In September 1966, a system was initiated at the University which provides for the use of automatically produced multiple orders and for the use of change chards to update order information on previously placed orders already on disk storage. The system is geared to an IBM 1620 Central Proessing Unit (40K) which has processed a total of 10,222 order transactions the first year. It is believed that the system will lend itself to further development within its existing framework and that it will be capable of handling future work loads.</span>

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