Evaluation of e-learning web sites using fuzzy axiomatic design based approach

High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality. In this paper, an axiomatic design based approach for fuzzy group decision making is adopted to evaluate the quality of e-learning web sites. Another multi-criteria decision making technique, namely fuzzy TOPSIS, is applied in order to validate the outcome. The methodology proposed in this paper has the advantage of incorporating requirements and enabling reductions in the problem size, as compared to fuzzy TOPSIS. A case study focusing on Turkish e-learning websites is presented, and based on the empirical findings, managerial implications and recommendations for future research are offered

A study on the effect of a web-based teaching module and gender on accounting students’ ethical judgements

Accounting educators face the increasingly important task of teaching ethics. Yet, there is little empirical evidence on the effectiveness of different ethics instructional methods on accounting students’ ethical judgements. This study examines whether the ethical decision making of accounting students differs (1) between those instructed through a web-based teaching module and those adopting a more traditional textbook-focused approach, and (2) between gender. A total of 156 students from a second-year financial accounting course participated in the study, with 90 students utilising the web-based module which was designed based on Rest’s (1979) model on ethics development. The other 66 students were instructed through a more traditional teaching approach based on regular class discussions using the ethical problems presented in the textbook. Subsequently, when presented with a whistle-blowing situation, the results of the study suggest that the attitudes and judgements of students instructed through the web-based module were more ethical than those utilising the traditional textbook module. Further, gender was found to impact ethical judgements but only among students who were exposed to the web-based module. The implications of the findings on accounting ethics education are discussed

Development and Transfer of Innovative Problem Solving Strategies and Related Confidence in Biomedical Engineering

Twenty-nine biomedical engineering (BME) undergraduates participated in a challenge-based instruction biotransport course, offered by the UT Austin BME Department in an accelerated format, at the University of Cambridge. Students’ attitudes toward, and aptitude for solving genuine and complex biomedical problems were assessed throughout the semester through surveys, interviews, observations, and in-class examinations. Students’ aptitude for problem solving improved throughout the semester, in a manner independent of content knowledge development. By the end of the semester, students readily transferred the problem-solving framework, learned within a biotransport context, to solve biomechanics problems. Additionally, we observed significant increases over time in students’ confidence in their ability to complete challenges within and outside of the biotransport domain. We believe that this illustrative case study provides significant quantitative evidence supporting the effectiveness of challenge-based pedagogies for engineering courses.Cockrell School of Engineerin

Teacher-stress and present day grading practices

Includes bibliographical references

Student Demand for Streaming Lecture Video: Emprical Evidence from Undergraduate Economics Classes

Real-time lectures recorded on video and streamed over the Internet are a useful supplement to non-classroom learning. However, because recording confines the instructor to the podium, the classroom experience is diminished when there is less social interaction. This study uses choice experiment data to estimate economics students' willingness to pay for streaming lecture video and instructor movement away from the podium. Results show a divide between students who like the flexibility of catching up on missed classes with video and students who do not. For this former group, video enhances the learning experience and students are willing to pay an additional $90 per course for video. An important source of streaming lecture video's value to students is its impact on performance. Knowledge equation estimates show a positive correlation between students' use of video and their cumulative final grade.

The creation of “Questions Bank" and introduction of 2.0. examination session

In the Institute of American Studies and Polish Diaspora Jagiellonian University, with the support of the Distance Learning Centre at the Jagiellonian University was introduced an innovative method of examination based on empowering the students. During the 2014 session, the students were invited to create test questions. Accepted by the lecturer questions were used on he exam. Extensive “Questions Bank” may be used in subsequent examinations 2.0. The authors of the paper present practical advice on how to prepare and carry out such an examination. They share know how of practical suggestions from pedagogical to technical aspect of moving from teaching to learning while using the idea of Questions Bank. They discuss the impact on the motivation and creativity of students, the principles of achievement and assessment, methods of verifying the content of the questions and technical measures to make questions and hindering cheating. The use of innovative methods of preparing and conducting the exam based on the Questions Bank had a positive impact on the mobilization and involvement of students, which resulted in a very good performance evaluation questionnaires of the lecture

Predicting student performance using data mining and learning analysis technique in Libyan Higher Education

The Technology has an increasing impact on all areas of life, including the education sector, and requires developing countries to emulate developed countries and integrate technology into their education systems. Recently schools in Libya are facing an issue trying to figure out why students perform poorly in certain subjects and how can they know how they will perform next in the future in coming semesters in perspective subject. There are several methods proposed to predict the student’s performance, using data mining techniques. In this paper, there are plans to create Data Mining Techniques in Education (i.e., DME) prediction model clustering, classification and association rule mining in many universities and schools in order to provide students and teachers with the most advanced platform. Although relatively late, the Libyan government finally responded to this challenge by investing heavily in rebuilding the education system and launching a national plan to presented method in terms of predicting students’ performance based on their grades in Math and English. The results are divided in to three main sections clustering analysis using k-mean algorithm, classification analysis was done using two rounds first using Gain Ratio Evaluations to find out the top attributes that used by J84 algorithm in second round of classification, and rule association analysis using A priori algorithm. Rule association analysis is applied for the clusters generate by clustering analysis to generate the rules associated with each cluster. For each section, a list of inputs is presented with the scale used for the values followed by the results of the algorithm and explanation for the finding