Blended learning applied to the study of Mechanical Couplings in engineering

This paper begins with a brief introduction to blended learning (BL), recognising the important contributions to learning that can be obtained from the use of methods which combine the New Information and Communications Technologies (NICT) with more traditional methods. The paper goes onto describe the bases, tasks and methodology for developing an online tool, using the most up-to-date technologies. Moreover, it presents an application about Mechanical Couplings (MC) developed for students of Mechanical Engineering in accordance with the described methodology. Among other things, this tool enables students to see simulations of coupling assembly, to consult data bases about the technical characteristics of very different existing couplings, to calculate and choose the right coupling for a specific application of power drive between machine shafts and to carry out self-evaluation tests.     

Investigating Greek employees’ intention to use web-based training

In the last few decades, the implementation of information technology has given rise to several organizational training needs that have to be satisfied, in order to empower organizational IT performance. The users of new technologies have to be trained quickly and efficiently, and since they are usually distributed to different remote locations, web-based training is the preferred, and sometimes the only, process for employee training. This study deals with the prognosis of employees’ intention to use a web-based training process, by extending the technology acceptance model using some other related factors, such as learning goal orientation, management support, enjoyment, self-efficacy and computer anxiety. Two hundred and eighty seven employees participated in this study to test the validity of the research model. The findings of the structural equation modeling indicate that enjoyment, perceived usefulness and perceived ease of use directly affect employees’ intention to use web-based training, while learning goal orientation has the strongest indirect impact on employees’ intention. Finally, three new causal relations are proposed for further research.     

Programmed instruction versus meaningful learning theory in teaching basic structured query language (SQL) in computer lesson

The purpose of this study was to investigate the effects of two different methods on primary school teacher candidates’ academic achievements and attitudes toward computer-based education, and to define their views on these methods. Both the first experimental group, programmed instruction (PI), and the second experimental group, meaningful learning (ML), included 36 students separately. While a significant difference was found between the groups regarding academic achievements, no significant difference was found between the groups’ attitude scores. There was no significant difference between the academic achievements of the students according to their genders in both groups. In addition, while there was no significant difference between the pre-test and post-test attitudes of students in the PI group, a significant difference was determined in the ML group. Generally, in the PI group, students considered the method effective but boring. Besides, students in the ML group had positive views on the method.     

Exploring the behavioral patterns of learners in an educational massively multiple online role-playing game (MMORPG)

Massively multiple online role-playing games (MMORPGs) are very popular among students. Educational MMORPGs, however, are very rare, as are studies on gamers’ behavioral patterns during such games. The current study is an empirical observation and analysis of the behavioral patterns of 100 gamers participating in an educational MMORPG called Talking Island^©. In our study, we recorded and summarized the gaming behaviors demonstrated by these participants over 335 days of observation from December 2009 to October 2010. We coded the recorded behaviors and conducted a frequency analysis, sequential analysis and cluster analysis to explore the behavioral distributions, behavioral-frequency transition and behavior-cluster patterns in the MMORPG. Gender differences in behavioral patterns were also compared and discussed. Based on the results, we discuss the potential and limitations of the game and provide suggestions for future research on and the development of educational MMORPGs.     

Advancing young adolescents’ hypothesis-development performance in a computer-supported and problem-based learning environment

Hypothesis development is a complex cognitive activity, but one that is critical as a means of reducing uncertainty during ill-structured problem solving. In this study, we examined the effect of metacognitive scaffolds in strengthening hypothesis development. We also examined the influence of hypothesis development on young adolescents’ problem-solving performance. Data was collected from sixth-grade students (N = 172) using a computer-supported problem-based learning environment, Animal Investigator. The findings of the study indicated that participants using metacognitive scaffolds developed significantly better hypotheses and that hypothesis-development performance was predictive of solution-development performance. This article discusses further educational implications of the findings and future research.     

We care about you: Incorporating pet characteristics with educational agents through reciprocal caring approach

Although different educational agents have been proposed to facilitate student learning, most of them operate from a “smart” (i.e., intelligent and autonomous) perspective. Recently, a so-called “non-smart” perspective is also attracting increasing interest, and is now regarded as a topic worthwhile of researching. To this end, this study utilizes a reciprocal caring approach for the development of a pet-styled educational agent, named My-Pet, designed to help elementary school students learn Chinese idioms. The effects of the reciprocal caring approach are evaluated in two experiments. The results indicate that the My-Pet system could enhance students' relationship with educational agents, but do not contribute to students' learning achievement and efficiency. Based on these results, some implications on the value aspect of motivation and reflections on the further design of educational agents are discussed.     

Online annotation – Research and practices

Annotation can be a valuable exercise when trying to understand new information. The technique can be used to create a ‘condensed’ version of the original information for later review and to add additional information into the existing document. The growth in web-based learning materials and information sources has created requirement for systems that allow annotations to be attached to these new sources and, potentially, shared with other learners. This paper discusses annotation in an educational context and introduces some of the web annotation systems currently available. It also provides an overview of the development of a new system, eLAWS, by the authors, based upon the Web Service architecture. Finally, the paper provides suggestions for the future development of e-Learning Annotation tools.     

Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011

Implementing instructional interventions to accommodate learner differences has received considerable attention. Among these individual difference variables, the empirical evidence regarding the pedagogical value of learning styles has been questioned, but the research on the issue continues. Recent developments in Web-based implementations have led scholars to reconsider the learning style research in adaptive systems. The current study involved a content analysis of recent studies on adaptive educational hypermedia (AEH) which addressed learning styles. After an extensive search on electronic databases, seventy studies were selected and exposed to a document analysis. Study features were classified under several themes such as the research purposes, methodology, features of adaptive interventions and student modeling, and findings. The analysis revealed that the majority of studies proposed a framework or model for adaptivity whereas few studies addressed the effectiveness of learning style-based AEH. Scales were used for learning style identification more than automatic student modeling. One third of the studies provided a framework without empirical evaluation with students. Findings on concrete learning outcomes were not strong enough; however, several studies revealed that suggested models influenced student satisfaction and success. Current trends, potential research gaps and implications were discussed.     

How to improve the peer review method: Free-selection vs assigned-pair protocol evaluated in a computer networking course

This study provides field research evidence on the efficiency of a “free-selection” peer review assignment protocol as compared to the typically implemented “assigned-pair” protocol. The study employed 54 sophomore students who were randomly assigned into three groups: Assigned-Pair (AP) (the teacher assigns student works for review to student pairs), Free-Selection (FS) (students are allowed to freely explore and select peer work for review), and No Review (NR) (control group). AP and FS student groups studied and reviewed peer work in the domain of Computer Networking, supported by a web-based environment designed to facilitate the two peer review protocols. Our results indicate that students following the Free Selection protocol demonstrate (a) better domain learning outcomes, and (b) better reviewer skills, compared to the AP condition. Overall, the study analyzes the benefits and shortcomings of the FS vs AP review assignment protocol, providing evidence that the FS condition can be multiply beneficial to students who engage in peer review activities.     

Analysis of utility and use of a web-based tool for digital signal processing teaching by means of a technological acceptance model

This paper presents an exploratory study about the development of a structural and measurement model for the technological acceptance (TAM) of a web-based educational tool. The aim consists of measuring not only the use of this tool, but also the external variables with a significant influence in its use for planning future improvements. The tool, designed with Shockwave™ and Macromedia Director™, is a web-based educational environment that has been applied as a teaching methodology in an undergraduate course involved with modern microprocessors architectures and applications. The proposed methodology may be extensible to similar tools and tries to fill the lack of scientific studies in the validation and acceptance of computer-based educational tools.     

Psychological safety and social support in groupware adoption: A multi-level assessment in education

In this paper, the authors propose that psychological safety, a sense of interpersonal trust and being valued in a work team, is an important determinant of groupware technology adoption in an educational setting. They develop and test a model of antecedents and consequences of psychological safety. Data were collected from 361 university students, organized in 36 teams. Results of multi-level regression analysis reveal positive individual-level effects of perceived tutor support and perceived peer support on psychological safety. Furthermore, our findings show a positive unique group-level effect of perceived tutor support on psychological safety, where an individual’s level of self-consciousness strengthens this positive impact. In addition, findings of structural equation modeling demonstrate that both perceived usefulness and perceived ease of use partially mediate the positive effect of psychological safety on groupware usage. Psychological safety also shows a positive direct effect on groupware usage. Finally, a student’s offline communication frequency with his tutor and peers appears to strengthen the impact of psychological safety on perceived usefulness, perceived ease of use, and groupware usage.     

A case study on using prediction markets as a rich environment for active learning

In this paper, prediction markets are presented as an innovative pedagogical tool which can be used to create a Rich Environment for Active Learning (REAL). Prediction markets are designed to make forecasts about specific future events by using a market mechanism to aggregate the information held by a large group of traders about that event into a single value. Prediction markets can be used to create decision scenarios which are linked to real-world events. The advantages of this approach in the cognitive and affective domains of learning are examined. The unique ability of prediction markets to enable active learning in large group teaching environments is explored. Building on this theoretical work, a detailed case study is presented describing how a prediction market can be deployed as a pedagogical tool in practice. Empirical evidence is presented exploring the effect prediction market participation has on learners in the cognitive domain.     

A ubiquitous English vocabulary learning system: Evidence of active/passive attitudes vs. usefulness/ease-of-use

English vocabulary learning and ubiquitous learning have separately received considerable attention in recent years. However, research on English vocabulary learning in ubiquitous learning contexts has been less studied. In this study, we develop a ubiquitous English vocabulary learning (UEVL) system to assist students in experiencing a systematic vocabulary learning process in which ubiquitous technology is used to develop the system, and video clips are used as the material. Afterward, the technology acceptance model and partial least squares approach are used to explore students’ perspectives on the UEVL system. The results indicate that (1) both the system characteristics and the material characteristics of the UEVL system positively and significantly influence the perspectives of all students on the system; (2) the active students are interested in perceived usefulness; (3) the passive students are interested in perceived ease of use.     

Self-assessment and task selection in learner-controlled instruction: Differences between effective and ineffective learners

Learner-controlled instruction is often found to be less effective for learning than fixed or adaptive system-controlled instruction. One possible reason for that finding is that students – especially novices – might not able to accurately assess their own performance and select tasks that fit their learning needs. Therefore, this explorative study investigated the differences in self-assessment and task-selection processes between effective and ineffective learners (i.e., in terms of learning gains) studying in a learner-controlled instructional environment. Results indicated that although effective learners could more accurately assess their own performance than ineffective learners, they used the same task aspects to select learning tasks. For effective learners, who were also more accurate self-assessors, the self-assessment criteria predicted subsequent task selection. The results are discussed, particularly with regard to their potential to provide guidelines for the design of a self-assessment and task-selection training.     

The influence of collaboration styles to children’s cognitive performance in digital problem-solving game “William Adventure”: A comparative case study

Since a large variety of digital games have been used in many fields for educational purposes, their real functions in learning have caught much attention as well. This study first defines learning characteristics of problem-solving digital games and their corresponding cognitive levels, then designs and develops a problem-solving game in accordance to the criteria. Tasks in the game context are inter-related to each other so that players need to critically and creatively think about problem solutions. Learners’ task analyses are performed to observe four elementary learners’ gaming paths, behaviors and cognitive activities, individually and collaboratively. System documentation, video recording, researcher observation, and interviews are conducted to analyze learners’ learning strategies and their cognitive performance during the gaming process.     

The effect of multiple scaffolding tools on students’ understanding,consideration of different perspectives,and misconceptions of a complex problem

This study investigated the effectiveness of multiple scaffolding tools in helping students understand a complex problem. In order to support students with this task, a multimedia learning environment was developed based on the cognitive flexibility theory (CFT) and scaffolding through computer-based tools. Seventy-nine 10th-grade students in an urban high school participated in this study. A quasi-experimental method was used to compare the effectiveness of different scaffolding tools within this learning environment. Scaffolding used in conjunction with CFT principles did not affect students’ ability to consider multiple perspectives or their numbers of misconceptions. On the other hand, scaffolding tools had varying effects on students’ problem understanding, and a significant interaction was found between the different scaffolding tools used. This study raised questions about the effectiveness of combining multiple scaffolding tools within a multimedia environment.     

Expectations and reality: Evaluating patterns of learning behaviour using audit trails

Developers of educational multimedia programs have expectations about the way in which they will be used. These expectations can be broadly categorised as either functional (primarily related to the interface) or educational (related to learning designs, processes and outcomes). However, student users will not always engage with educational multimedia in the ways developers envisage and the adoption of a particular learning design, however well implemented, does not guarantee particular learning processes or outcomes. We investigated the relationship between intended and actual user behaviour by analysing detailed electronic records of user activities (audit trails) within a multimedia program in which medical students adopt the role of a doctor in a simulated clinical interview. Audit trails of 294 users across three years were analysed, focussing on two critical learning activities (interviewing and note taking). Cluster and χ² analyses revealed four distinct types of users: ‘confused or strategic’ (12.9%), ‘disengaged’ (40.8%), ‘expected’ (26.5%) and ‘diligent’ (19.7%). Our work in the future will focus on using audit trails in investigations of students learning processes and outcomes in educational multimedia environments.