Different identity revelation modes in an online peer-assessment learning environment: Effects on perceptions toward assessors,classroom climate and learning activities

The effects of four different identity revelation modes (three fixed modes: real-name, anonymity, nickname and one dynamic user self-choice mode) on participants’ perceptions toward their assessors, classroom climate, and past experience with the learning activity in which they were engaged were examined. A pretest–posttest quasi-experimental research design was adopted. Eight fifth-grade classes (age 10–11, N = 243) were randomly assigned to four different identity revelation modes in order for them to participate in the study. An online learning system that allows students to contribute to and benefit from the process of question-generation and peer-assessment was adopted. Data analysis confirmed that different identity modes lead participants to view their assessors differently. Specifically, participants assigned to the self-choice and real-name identity revelation modes tended to view their assessors more favorably than those in the anonymity and nickname groups. The empirical significance of the study as well as suggestions for learning system development, instructional implementation and future study are provided.     

Using synchronous peer tutoring system to promote elementary students’ learning in mathematics

The face-to-face computer-supported collaborative learning has emerged as an important strategy to elementary students' learning. Few studies have explicitly incorporated the structured peer tutoring to the synchronous environment in mathematics. This study was aimed to explore the effects of the synchronous peer tutoring system on children's mathematics learning. In the project, there were 88 10-11-year-old students who peer tutored each other in mathematics in the face-to-face online environment for a year. Compared to the control group, students in the experimental group had significant gains in mathematics learning, especially in the arithmetic and application types of questions. This study demonstrated the positive effects of peer support via the online synchronous learning on students' self-concept and attitudes toward mathematics learning. The results indicated that the longer the vulnerable pupils engaged in peer tutoring online, the more they benefited from the process. The finding suggests that students demonstrate different mathematics reasoning skills when they are paired with peers at different levels of ability. These findings demonstrate that the synchronous peer tutoring system is an effective tool to enhance elementary students' learning in mathematics, as well as promote positive self-concepts.     

Factors affecting e-collaboration technology use among management students

This paper describes an exploratory study of 225 management students in a medium-sized university in southern Spain. The influences of gender and previous experience as determinants of technology use were analysed. Furthermore, a modified Technology Acceptance Model, using SEM, was applied to explain the influence of perceived computer self-efficacy on the intention to use Internet-based e-collaboration technologies in the learning–teaching process. This was completed with qualitative data from unstructured interviews with ten students. Our results suggest that the management student cannot be considered an advanced user of the Internet. Computer self-efficacy has a positive influence on intention to use the system. This intention is also influenced by attitude towards the system, but not directly by perceived usefulness. These and other contradictory findings are analysed in the paper.     

Design and evaluation of a microprocessor course combining three cooperative methods: SDLA,PjBL and CnBL

This paper reports on the design, implementation and assessment of a new approach course structure based on the combination of three cooperative methodologies. The main goal is to reduce the percentage of non-passed students focusing the learning process on students by offering different alternatives and motivational activities based on working in small groups on a robotic project and changing the course assessment. The microprocessor course is a subject in the undergraduate program of telecommunication engineering at the University of the Balearic Islands (UIB) in Spain. Its traditional teaching methodology was based on Lecture sessions, Problem sessions and Practical activities in the lab (L/P/P). This methodology was changed to comply with the Bologna requirements, where new skills must be addressed and learned during the educational process. Self-Directed Learning activities (SDLA) for lecture sessions and Project based learning (PjBL) for Laboratory sessions were implemented in combination with a final competition activity between groups (CnBL). This paper describes the design, implementation and results; showing the benefits of these new teaching methods, improving student’s motivation including a robotic buggy project and allowing new learning strategies based on a practical point of view and adaptability to students’ previous skills.     

An online image analysis tool for science education

This paper describes an online image analysis tool developed as part of an iterative, user-centered development of an online Virtual Learning Environment (VLE) called the Education through Virtual Experience (EVE) Portal. The VLE provides a Web portal through which schoolchildren and their teachers create scientific proposals, retrieve images and other resources, and produce collaborative scientific papers summarizing their learning experiences. The VLE underwent substantive formative testing involving over 200 schoolchildren producing over 50 collaboratively written research papers. Detailed analysis of these research papers identified some shortfalls toward the goal of producing authentic scientific engagement. The absence of data collection and data analysis within these research papers was disappointing despite having scheduled time for this activity and having several professional imaging tools available. The post-evaluation analyses have enabled the development team to identify specific design flaws in the previous VLE and have shaped the design of the new custom-built tool. The success of the tool will be born out through content analysis of future collaboratively written student papers.     

Differences in learning processes between successful and less successful students in computer-supported collaborative learning in the field of human nutrition and health

This study aimed to investigate the differences in learning processes between successful and less successful pairs of students in computer-supported collaborative learning (CSCL) in the field of human nutrition and health. As part of their regular MSc (and optional BSc) course “Exposure assessment in nutrition and health research” at Wageningen University, 44 students were asked (as an individual pretest) to design and analyze a study which evaluates a certain dietary assessment method. Subsequently, they were asked to discuss their evaluation studies in randomized pairs using a CSCL platform. As an individual posttest, students had to re-design and re-analyze the same evaluation study. The quality of students’ knowledge construction in both tests and characteristics of their learning processes in the CSCL environment were assessed through two coding schemes. Based on their learning outcomes (quality of knowledge construction), pairs of students were divided into two subgroups: successful and less successful students. Next, the learning processes of these subgroups were compared. This study revealed that the learning processes of successful and less successful students in the CSCL environment differed in terms of relevance, width and depth of discussion and justification and reasoning. Based on these findings, recommendations for further research and educational practice are formulated.     

Using Jigsaw and Case Study for supporting online collaborative learning

In CSCL contexts (Computer Supported Collaborative Learning) collaborative activities with different levels of structuredeness are often used to foster discussion and exchange among students and enhance collaboration. In this field the debate around whether and to what extent it is useful to structure the activities proposed to students, is still very lively. In this paper two collaborative activities are explored, namely a simple Case Study (moderate level of structuredness) and the Case Study joint with the Jigsaw (higher level of structuredness). Starting from the analysis of the interactions occurred among students of two real online courses performing these activities, it is possible to identify strong points and weaknesses of the two activities, so to draw some reflections on the impact of structuredness on the collaborative learning process.     

Investigating ICT using problem-based learning in face-to-face and online learning environments

This article reports on the design, implementation and evaluation of a module in the MEd (Business) in the Faculty of Education at the University of Hong Kong in which an explicit problem-based learning (PBL) approach was used to investigate the challenges associated with the adoption and use of information and communication technologies (ICT) in Hong Kong secondary school classrooms. PBL influenced both the way the curriculum was developed and the process by which students (n = 18) investigated topics related to the integration of ICT in business studies classrooms. The evaluation was based on five evaluative questions dealing with the implementation of PBL, the extent to which PBL facilitated academic discourse, the extent of ‘new’ knowledge about ICT that had been created, the role of the tutor, and the online learning environment provided. The evaluation revealed that PBL provided a practical approach to investigating ICT in both face-to-face and online learning environments, leading to ‘new’ knowledge about challenges associated with the adoption and use of new technologies in various educational settings.     

Common needs and different agendas: How trainee teachers make progress in their ability to use ICT in subject teaching. Some lessons from the UK

The paper reports on the outcomes of a British Educational Communications and Technology Agency (BECTa) funded study which explored the views of teacher trainees and their mentors in two different school subjects on what strategies, interventions and resources had a positive impact on their ability to use ICT effectively in their subject teaching.The research aimed to explore both commonalities in trainees’ views of which strategies and interventions had a positive influence on their ability to use ICT effectively in subject teaching, and subject discipline dimensions of ICT use, i.e. the ways in which training needs might vary between trainees in different school subjects.The study focused on the views of two successive cohorts of science and history trainees (133 trainees in all), and 21 of their supervising mentors. The outcomes showed that some important determinants of progression in the ability to deploy ICT confidently and effectively in subject teaching were common to both subject groups, but that there were differing views on which ICT applications offered most potential for enhancing teaching and learning in their subject and differences in their preferred priorities for investment in ICT. The study also revealed that trainees felt that many of the experiences and resources which they had encountered in the course of their training had not been helpful.A follow up survey was undertaken of 114 trainees across six subject areas to further explore some of the findings from the initial survey. The concluding section of the paper suggests ways in which trainee teachers might be prepared more effectively for using ICT in their subject teaching.     

Influence of participation, facilitator styles, and metacognitive reflection on knowledge building in online university courses

Understanding how to foster knowledge building in online and blended learning environments is a key for computer-supported collaborative learning research. Knowledge building is a deeply constructivist pedagogy and kind of inquiry learning focused on theory building. A strong indicator of engagement in knowledge building activity is the socio-cognitive dynamic of epistemic agency, in which students exercise a higher level of agency for setting forth their ideas and negotiating fit with those of others rather than relying on their teacher. The purpose of this paper is to investigate the influence of (a) levels of participation, (b) facilitator styles and (c) metacognitive reflection on knowledge building in two blended, post-secondary education contexts. A study of a total of 67 undergraduate students suggest that high levels of participation, a supportive facilitator style, and ample opportunities for metacognitive reflection on the students’ own participation strategies are most conducive for fostering epistemic agency for knowledge building. Implications of these results for research and instructional design of online courses are discussed.     

Comparing computer-supported dynamic modeling and ‘paper & pencil’ concept mapping technique in students’ collaborative activity

This study aims at highlighting the collaborative activity of two high school students (age 14) in the cases of modeling the complex biological process of plant growth with two different tools: the ‘paper & pencil’ concept mapping technique and the computer-supported educational environment ‘ModelsCreator’. Students’ shared activity in both cases is carried out in the presence of a facilitator providing technical as well as cognitive support when necessary. The objective of the study is to highlight the ways in which the collaborating students are engaged in the plant growth modeling activity in the two cases and also identify the activity’s similar and different aspects in each one. Our analysis is carried out on two complementary axes, the first of which concerns the process of collaboratively creating a plant growth model with each different tool, while the second has to do with the students’ conceptualizations of the biological aspect of the modeling task in each case. A two-level analytic tool for the modeling process has been derived within the theoretical framework of ‘activity theory’ on the basis of the OCAF scheme for basic modeling operations and the scheme of Stratford et al. [Stratford, S. J., Krajcik, J., & Soloway, E. (1998). Secondary students’ dynamic modeling processes: analyzing, reasoning about, synthesizing, and testing models of stream ecosystems. Journal of Science Education and Technology, 7(3), 215–234.] for higher-order modeling actions. According to our results, four major modeling actions (analysis, synthesis, testing-interpreting, technical and cognitive support) performed through a plethora of modeling operations define the steps of the modeling process in both cases, while specific qualitative differences can be actually identified. Finally, the students’ conceptualizations of the biological aspect of the modeling task in the two-case activity is analyzed in regard with their capability of shifting reasoning between macro- and micro-levels, while educational implications are also discussed.     

Research in online learning environments: Priorities and methodologies

Due to increasing demand for education and training in the information age, online learning and teaching is becoming a necessity in our future. However, lack of research goals to understand impact of online learning environments on students is a problem in research on online learning environments. We identified four main research goals to pursue in online learning environments based on their impact on learner achievement, engagement, and retention (opposite of attrition). Those goals are (a) enhancing learner engagement & collaboration, (b) promoting effective facilitation, (c) developing assessment techniques, and (d) designing faculty development programs. Current promising work in those areas is presented. Four methods that are common in the instructional technology literature are recommended to pursue those goals. Formative research and developmental research are relevant for all four. Although appropriate for any of the goals, experimental research is a better fit for goals b and c, and activity theory is useful for goals a and b.     

Encouraging equitable online participation through curriculum articulation

Student participation is a central issue in debates around online education. In most instances, course convenors wish to increase the amount of participation, while ensuring that the quality is of an acceptable standard. They also wish to ensure that their students have adequate access to the technology, and that there is no undue dominance by any groups of students. In order to achieve the desired degree and balance of participation, various strategies are pursued—most of these focus on the awarding or denial of marks. In this exercise, first year Health Sciences students were introduced to online discussions as part of an Information Technology/Information Literacy (IT/IL) stream in their curriculum. Most importantly, the nature of the participation was to be guided purely by the philosophy and content of the main Health Sciences curriculum, with no overt reward or punishment system for participation in the online discussions. An analysis of the number of postings and the spread of postings shows an acceptable level of equitable participation across the student body. The main conclusion is that effective participation in online discussions is possible by curriculum articulation.     

Effects of an online learning community on active and reflective learners’ learning performance and attitudes in a face-to-face undergraduate course

The purpose of this study was to examine the effects of an Online Learning Community (OLC) on active and reflective learners’ learning performance and attitude in a face-to-face undergraduate digital design course. 814 freshmen in an introductory digital design course were randomly assigned to one of two treatments: one offered students an OLC, which required students to discuss their assignments and readings online and participate in certain online learning activities; the other one did not offer the OLC (NC: no online learning community), but required involving students in face-to-face discussion. Individual students’ learning styles were measured using Felder and Solomon’s Index of Learning Styles Questionnaire. Results indicated that both active and reflective learners in the OLC intervention performed significantly better than those who were in the NC intervention. Results also indicated that active learners performed significantly better than reflective learners in the NC intervention; however, reflective learners performed significantly better than active learners in the OLC intervention. No significant difference between active and reflective learners’ attitudes was found. These findings indicated that OLC might be an effective means for improving both active and reflective learners’ learning performance and attitudes; however, its effects on active learners might not be as great as on reflective learners.     

An interactive peer-assessment criteria development approach to improving students' art design performance using handheld devices

Engaging students in higher order thinking such as evaluation and analysis has been recognized as being an important strategy for helping them develop knowledge and skills, in particular, in creativeness-oriented learning activities such as artwork design. In this paper, an interactive peer-assessment criteria development approach is proposed to help students develop assessment criteria, learn from viewing peers' work, and make reflections in artwork design activities using mobile devices. To evaluate the effectiveness of the proposed approach, an experiment was conducted in an elementary school art course. A total of 103 students participating in the experiment were assigned to an experimental group and a control group. The students in the experimental group learned with the proposed approach, while those in the control group learned with the conventional peer assessment approach. From the experimental results, it was found that the proposed approach significantly improved the students' learning achievement, learning motivation and meta-cognitive awareness, suggesting the effectiveness of engaging students in assessment criteria development in an interactive manner.     

Automatic detection of learning styles for an e-learning system

A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user’s browsing history and knowledge factors like user’s prior knowledge. In this paper, we address the problem of extracting the learner model based on Felder–Silverman learning style model. The target learners in this problem are the ones studying basic science. Using NBTree classification algorithm in conjunction with Binary Relevance classifier, the learners are classified based on their interests. Then, learners’ learning styles are detected using these classification results. Experimental results are also conducted to evaluate the performance of the proposed automated learner modeling approach. The results show that the match ratio between the obtained learner’s learning style using the proposed learner model and those obtained by the questionnaires traditionally used for learning style assessment is consistent for most of the dimensions of Felder–Silverman learning style.     

Learning computer programming: Implementing a fractal in a Turing Machine

It is common to start a course on computer programming logic by teaching the algorithm concept from the point of view of natural languages, but in a schematic way. In this sense we note that the students have difficulties in understanding and implementation of the problems proposed by the teacher. The main idea of this paper is to show that the logical reasoning of computer programming students can be efficiently developed by using at the same time Turing Machine, cellular automata (Wolfram rule) and fractals theory via Problem-Based Learning (PBL). The results indicate that this approach is useful, but the teacher needs introducing, in an interdisciplinary context, the simple theory of cellular automata and the fractals before the problem implementation.     

The design and development of a computerized tool support for conducting senior projects in software engineering education

This paper presents a computerized tool support, the Meetings-Flow Project Collaboration System (MFS), for designing, directing and sustaining the collaborative teamwork required in senior projects in software engineering (SE) education. Among many schools’ SE curricula, senior projects serve as a capstone course that provides comprehensive training in collaborative project development. With the focus on collaboration training, instructors of senior projects often address issues that include how to encourage collaboration and ensure that collaborative efforts are sustained throughout the project’s development. In order to help resolve these issues, the MFS takes a holistic approach. The meetings-flow concept that undergirds the MFS introduces a novel macro-level and meeting-oriented group process to guide the proceeding of the project’s collaborative work. The design of the MFS facilitates a computerized environment that helps to institutionalize and monitor such a group process. In introducing the MFS, we focus initially on the elaboration of the concept and design, after which we present and validate the system implementation and usage. We also evaluate the MFS and receive a positive result with respect to the educational issues raised in this paper. Finally, we comparatively summarize the MFS to discuss its values and the role it plays in CSCL (computer supported collaborative learning) and PBL (project-based learning) of SE education.     

Empowering students through digital game authorship: Enhancing concentration,critical thinking,and academic achievement

Digital game-based learning is a popular strategy for engaging students by making learning fun. Actively involving students as designers and producers of digital games may have even greater potential for student empowerment through enhancing concentration and engagement, fostering higher order thinking, and improving learning outcomes. Thus, this study empirically investigated the impact of digital game authoring on students' concentration, critical thinking skills, and academic achievement. A total of 67 students in two seventh-grade classes participated in this 19-week-long experiment, and were divided into an experimental group (32 students designing digital games) and a comparison group (35 students designing Flash animations). The interdisciplinary approach involved integrating biology and computer programming classes. Students in the experimental group designed digital games based upon biology course content, while the comparison group collaboratively produced Flash animations based upon the same course content. The experimental results, using MANCOVA for pretest, posttest, and delayed posttest scores, demonstrate significant improvements in critical thinking skills, and academic achievement, with increased retention of both course content and critical thinking skills observed for the delayed posttest. For concentration, a relative advantage for the experimental group as compared with the comparison group was noted, but did not reach statistical significance. Based on the results of this study, implications for practitioners and researchers are provided, including the integration of programming or computer science with other courses for digital game authoring and the evaluation of other learning outcomes such as creative thinking, problem-solving, and flow.     

Exploring academic teachers’ continuance toward the web-based learning system: The role of causal attributions

The Expectation Confirmation Model (ECM) is a popular model used to explain the continuance of information system usage. However, past studies have found that the ECM, based on extrinsic motivations (e.g. perceived usefulness, user satisfaction), has limitations insofar as people often have both intrinsic and extrinsic motivations simultaneously. This study used the belief of causal attributions to extend the ECM and verify it in a web-based learning system (WLS) context. Nine hypotheses were derived from the modified ECM. Empirical data were collected by a mail survey from faculty with experience of WLS in Taiwanese universities. The final sample used for further analysis comprised of 144 respondents. The results revealed that the modified ECM has greater power to explain the continued intention of WLS usage even if the effects of user satisfaction and perceived usefulness on continued intention are reduced.