Exploring students' learning effectiveness and attitude in Group Scribbles‐supported collaborative reading activities: a study in the primary classroom

Improving students' reading comprehension is of significance. In this study, collaborative learning supported by Group Scribbles (GS), a networked technology, was integrated into a primary reading class. Forty‐seven 10‐year‐old students from two 4th grade classes participated in the study. Experimental and control groups were established to investigate the effectiveness of GS‐supported collaborative learning in enhancing students' reading comprehension. The results affirmed the effectiveness of the intervention designed. In the experiment group, students' learning attitudes, motivation and interest were enhanced as well. Further analyses were done to probe students' interaction processes in the networked collaborative classroom and different collaboration patterns and behaviours were identified. Based on the findings obtained, implications for future learning design to empower L1 learning were elaborated.     

How competition and heterogeneous collaboration interact in prevocational game-based mathematics education

The present study addresses the effectiveness of an educational mathematics game for improving proportional reasoning in students from prevocational education. Though in theory game-based learning is promising, research shows that results are ambiguous and that we should look into ways to support game-based learning. The current study explored two factors (i.e., collaboration and competition) that have been associated with motivational and cognitive effects, and have potential to optimize game-based learning. In a fully crossed design, four conditions were examined: collaboration and competition, collaboration control, competition control, and control. It was found that, over all, gameplay did improve students' proportional reasoning skills but that learning effects did not differ between conditions. However, when students’ ability levels were taken into account, an interaction between collaboration and competition was found. For below-average students, the effect of collaboration was modified by competition, showing a negative effect of competition on domain knowledge gains in a collaborative learning situation. In contrast, for above-average students, the data demonstrated a trend that suggests a positive effect of competition on domain knowledge gain in a collaborative learning situation.     

Digital collaborative learning in elementary and middle schools as a function of individualistic and collectivistic culture: The role of ICT coordinators' leadership experience,students' collaboration skills,and sustainability

The purpose of this study was to examine the influence of online collaborative learning experiences on students' digital collaboration skills and on the sustainability of e-collaboration in schools' culture—comparing individualistic versus collectivistic cultures. In addition, we explored how the leadership experience of schools' ICT coordinators was predicted by their sense of professionalism and cognitive, emotional and social aspects of perceived learning (PL), while leading the collaborative projects. The participants were ICT coordinators from 513 Israeli schools; 214 of whom were Hebrew-speakers, and 299 Arabic-speakers. The participants were asked to complete an online questionnaire, which included multiple-choice and open-ended questions. The results showed significant differences between a variety of the coordinator-related variables as a function of learning culture (more individualistic vs.more collectivistic). Coordinators' leadership experience was a powerful predictor of students' digital collaboration skills, but did not predict the sustainability of e-collaboration. Coordinators' emotional PL predicted the sustainability of collaboration in both schools with more individualistic and with more collectivistic learning cultures. The implications of the findings for educational theory and practise are discussed.     

High school students' perceptions of affect and collaboration during virtual science inquiry learning

This study examined affect during high school students' face‐to‐face collaborative inquiry learning in science, supported by the web‐based software Virtual Baltic Sea Explorer. Self‐reported affective states during the inquiry process in peer groups were related to evaluations of a group's collaboration and performance in three phases of interdisciplinary science inquiry (biology and chemistry). Results indicate that despite high cognitive demands, positive affect prevailed whereas negative affect was infrequent. Structural equation modelling was used to analyse the significance of affect on collaboration and group performance. The relationship between affect, collaboration, and the groups' productive outcome revealed that self‐assurance had a significant effect on collaboration and support, intertwined with scientific understanding and group performance. Furthermore, a cross‐lagged analysis showed a reciprocal relation between positive affect, scientific understanding, collaboration, and support. These outcomes contribute to the scarce literature on the nature and importance of affect in the process of face‐to‐face computer‐supported collaborative inquiry and learning in science.     

A novel approach for enhancing student reading comprehension and assisting teacher assessment of literacy

For students of English as a Foreign Language (EFL), reading exercises are critical not only for developing strong reading comprehension, but also for developing listening, speaking, and writing skills. Prior research suggests that social, collaborative learning environments are best suited for improving language ability. However, opportunities for English learners to collaboratively practice reading comprehension are minimal, and due to resource constraints and a lack of accurate evaluation methods, English instructors rarely assess student literacy effectively. In response to these problems, we propose a Tag-based Collaborative reading learning System (TACO) that makes use of Web 2.0 Internet social tagging techniques to provide a collaborative environment for reading English. We test our system’s ability to both improve reading comprehension and aid teachers in accurately assessing literacy by conducting a three-month trial with 56 participating Taiwanese high school students from February to May 2009. During this period, post-testing results show a significant improvement in reading scores among participants in our tag-based system, and survey feedback from teachers suggests an improved capacity for literacy assessment.     

Can structured representation enhance students' thinking skills for better understanding of E-learning content?

This paper proposes an e-learning model to assess the effects of online structured representation of content on learners' understanding. We designed a structured representation based on the theory of distributed cognition that provides seven segments for reading research articles. The study hypothesized that motivation, attention, and interactivity are essential factors that affect students' thinking skills for understanding e-learning content. To investigate and confirm the effect of these factors on the students' thinking skills, we designed a survey and analyzed the responses of 210 university students concerning the proposed structured representation. The results revealed that motivation, attention, and interactivity did contribute to the students' thinking skills. They also demonstrated that the structured representation helped students achieve an adequate level of thinking skills as they read research articles, which had a positive effect on their understanding. This finding demonstrates that structured representation has significant potential as a learning tool and that structure-based e-learning can influence students' metacognitive activities and facilitate their understanding.     

Patterns of students' collaborations by variations in their learning orientations in blended course designs: How is it associated with academic achievement?

Background

While a number of learner factors have been identified to impact students' collaborative learning, there has been little systematic research into how patterns of students' collaborative learning may differ by their learning orientations.

Objectives

This study aimed to investigate: (1) variations in students' learning orientations by their conceptions, approaches, and perceptions; (2) the patterns of students' collaborations by variations in their learning orientations and (3) the contribution of patterns of collaborations to academic achievement.

Methods

A cohort of 174 Chinese undergraduates in a blended engineering course were surveyed for their conceptions of learning, approaches to learning and to using online learning technologies, and perceptions of e-learning, to identify variations in their learning orientations. Students' collaborations and mode of collaborations were collected through an open-ended social network analysis (SNA) questionnaire.

Results and Conclusions

A hierarchical cluster analysis identified an ‘understanding’ and ‘reproducing’ learning orientations. Based on students' learning orientations and their choices to collaborate, students were categorized into three mutually exclusive collaborative group, namely Understanding Collaborative group, Reproducing Collaborative group and Mixed Collaborative group. SNA centrality measures demonstrated that students in the Understanding Collaborative group had more collaborations and stayed in a better position in terms of capacity to gather information. Both students' approaches to learning and students' average collaborations significantly contributed to their academic achievement, explaining 3% and 4% of variance in their academic achievement respectively. The results suggest that fostering a desirable learning orientation may help improve students' collaborative learning.     

Teacher regulation of cognitive activities during student collaboration: Effects of learning analytics

By collaboratively solving a task, students are challenged to share ideas, express their thoughts, and engage in discussion. Collaborating groups of students may encounter problems concerning cognitive activities (such as a misunderstanding of the task material). If these problems are not addressed and resolved in time, the collaborative process is hindered. The teacher plays an important role in monitoring and solving the occurrence of problems. To provide adaptive support, teachers continuously have to be aware of students' activities in order to identify relevant events, including those that require intervention. Because the amount of available information is high, teachers may be supported by learning analytics. The present experimental study (n = 40) explored the effect of two learning analytics tools (the Concept Trail and Progress Statistics) that give information about students' cognitive activities. The results showed that when teachers had access to learning analytics, they were not better at detecting problematic groups, but they did offer more support in general, and more specifically targeted groups that experienced problems. This could indicate that learning analytics increase teachers' confidence to act, which in turn means students could benefit more from the teacher's presence.     

Supporting middle school students' online reading of scientific resources: moving beyond cursory,fragmented, and opportunistic reading

The abundant scientific resources on the Web provide great opportunities for students to expand their science learning, yet easy access to information does not ensure learning. Prior research has found that middle school students tend to read Web‐based scientific resources in a shallow, superficial manner. A software tool was designed to support middle school students in reading online scientific resources through three key strategies: making explicit a skim–read–summarize structure for online reading, using prompts to guide students' reading and foster articulation of thinking, and connecting reading to learning purposes. This study examined the differences between regular and guided online reading performed by eight pairs of sixth graders in a science inquiry project. The students' online reading processes and conversations were captured by a screen‐recording programme. Analysis of 60 h of screen videos showed that the students' online reading in the regular condition was cursory, fragmented, and opportunistic, while the structured online reading was more deliberate, thorough, and purposeful. Overall, the results suggest that middle school students' online reading of scientific resources needs to be guided.     

An online collaborative document creation exercise in an ODL research project module

Online technologies to support collaborative learning provide lecturers in distance higher education with ever more opportunities to extend their teaching in beneficial ways. Students are also increasingly familiar with the online environment via social networking sites. How well this familiarity with online environments translates into the online collaborative learning space in an open distance learning context was examined. We report here on one cycle of an action research project involving 11 fourth-year computing students producing shared survey questionnaires and interview questions collaboratively online. Feedback on the collaboration exercise was obtained by means of a questionnaire which was analysed using grounded theory techniques. The expectation was that collaborative text creation software would be used but somewhat surprisingly, given their academic background, the students used email as the tool of choice. The students' reflections on the collaborative process showed that they noted and appreciated the benefits of collaborative work but also confirmed some of the previously reported frustrations of online collaborative work – in particular differences in levels of commitment and effort, and the free rider effect. Overall, the results pointed to the need for lecturers to be involved in a collaborative process to critically question and guide choices being made.     

Supporting digitally enhanced learning through measurement in higher education: Development and validation of a university students' digital competence scale

Digital competence is critical for university students to adapt to and benefit from digitally enhanced learning. Prior studies on its measurement mostly focus on educators and relied on factor analyses. However, there is a lack of valid and convenient tools to measure university students' digital competence. This study aimed to develop a digital competence scale for university students (DC-US) in digitally enhanced learning with robust psychometric properties. An initial DC-US with 23 items was proposed to measure the single latent trait of digital competence. It was validated and refined continuously through a pilot study, a main study and a predictive validity study in three datasets involving 825 participants altogether, using factor analyses, Rasch analyses and the partial least squares modelling. The final DC-US turned out to comprise two subscales: technical literacy and digital skills, with 10 items retained, and manifested high internal consistency, unidimensionality and measurement invariance. The scale also demonstrated strong predictive validity, with technical literacy greatly predicting digital skills, which negatively predicted technostress. The DC-US enables instructors and school administrators to conveniently obtain preliminary information of university students' digital competence, informing their digital class preparation and development of timely interventions for addressing digital deficiencies.     

Leveraging a personalized system to improve self-directed learning in online educational environments

Many students who participate in online courses experience frustration and failure because they are not prepared for the demanding and isolated learning experience. A traditional learning theory known as self-directed learning (SDL) is a foundation that can help establish features of a personalized system that helps students improve their abilities to manage their overall learning activities and monitor their own performance. Additionally, the system enables collaboration, interaction, feedback, and the much-needed support from the instructor and students' peers. A Web 2.0 social-technology application, MediaWiki, was adopted as the platform from which incremental features were developed to utilize the fundamental concepts of SDL. Students were able to customize content by setting specific learning goals, reflecting on their learning experiences, self-monitoring activities and performances, and collaborating with others in the class. SDL skills exist to some degree in all learners, this study finds that students' SDL abilities can improve when a course adopts a personalized and collaborative learning system that enables the students to be more proactive in planning, organizing, and monitoring their course activities.     

Effects of Collaborative Web Based Vocational Education and Training (VET) on Learning Outcomes

Considering the increase in need of skilled human capital, the vocational training and education through e-learning has widely been adopted all over the world. It serves as a major alternative for training and teaching professionals, technicians, skilled workers, amateurs and students who cannot manage regular college education due to time, cost and distance factors. Prior research focuses on learning enhancement from several perspectives like computer mediated methods, learning games, personalized learning environments and web based instructional design. The proposed work contributes to this debate by investigating the role of collaboration i.e. student–student and student–instructor interaction, support material, instructor's feedback and evaluating their effects on learning outcome and students' learning experience. The investigation is performed through a case study presenting four vocational courses offered in three consecutive sessions. The findings revealed that collaborative practices i.e. group work, team effort, in time instructor's feedback and consolidated support material enhances learning experience of student and contributes positively to the learning outcome.     

Perceptions of learning effectiveness in M‐learning: scale development and student awareness

The purpose of this study is to develop a multi‐dimensional scale to measure students' awareness of key competencies for M‐learning and to test its reliability and validity. The Key Competencies of Mobile Learning Scale (KCMLS) was determined via confirmatory factor analysis to have four dimensions: team collaboration, creative thinking, critical thinking and problem solving, and communication. The research subjects are 815 students from the elementary school that participate in M‐learning programme in Taiwan. The research results show that students have better self‐awareness in team collaboration and creative thinking, but have worse self‐awareness in critical thinking and problem solving. This study also found that there was no significant difference between genders in the KCMLS, but students who study in the schools that committed in M‐learning longer have higher awareness in all dimensions than students who study in the schools that committed to M‐learning in fewer years.     

Promoting academically productive talk with conversational agent interventions in collaborative learning settings

Research on computer-supported collaborative learning (CSCL) and conversational pedagogical agents has strongly emphasized the value of providing dynamic dialogue support for learners working together to accomplish a certain task. Recently, on the basis of the classroom discourse framework of Academically Productive Talk (APT), a flexible form of conversational agent support has emerged employing APT-based intervention methods so as to stimulate pedagogically beneficial conversational interactions among learning partners. This paper investigates the impact of an APT-based Linking Contributions (LC) intervention mode implemented by a conversational agent in the context of a collaborative activity in higher education. This type of agent interventions encourages students to explicitly externalize their reasoning on important domain concepts building upon the contributions of their partners. Forty-three (43) students collaborated in small groups using a prototype CSCL system to accomplish three different tasks in the domain of Multimedia Learning. Groups were randomly assigned to the treatment or the control condition. In the treatment condition, a conversational agent participated in students' dialogues making LC mode interventions. In the control condition, students discussed without the agent intervening. The results of the study illustrated that the students in the treatment condition engaged in a more productive dialogue demonstrating increased explicit reasoning throughout the collaborative activity. Furthermore, it was shown that the students in the treatment condition outperformed the control students in various measures on knowledge acquisition. Evidence also suggests that students' enhanced learning performance was mediated by the positive effect of the agent intervention mode on students' argumentation. Overall, this study provides insights into how the use of a configurable conversational agent displaying unsolicited LC interventions during students' discourse can be beneficial to collaborative learning.     

Towards an analysis framework for investigating students' engagement and learning in educational blogs

Educational blogs are currently gaining in popularity in schools and higher education institutions, and they are widely promoted as collaborative tools supporting students' active learning. However, literature review on educational blogging revealed a lack of a complete and consistent framework for studying and assessing students' engagement and the impact of blogging on students' learning. This study reports on the application of an analysis framework for evaluating blogging learning activities, based on two well‐documented models, those of Community of Inquiry (CoI) and Social Network Analysis. The framework proposed is examined through an empirical study involving 21 K‐9 students, coming from two classes, in Greece. This investigation shed light into the different ways of students' engagement in a blog‐based project, namely their social and cognitive presence that supported the development of a CoI and learning. The results suggest that the students, through their different roles in the blog, achieved higher thinking and cognitive levels.     

A contextual game-based learning approach to improving students' inquiry-based learning performance in social studies courses

Inquiry-based learning, an effective instructional strategy, can be in the form of a problem or task for triggering student engagement. However, how to situate students in meaningful inquiry activities remains to be settled, especially for social studies courses. In this study, a contextual educational computer game is developed to improve students' learning performance based on an inquiry-based learning strategy. An experiment has been conducted on an elementary school social studies course to evaluate the effects of the proposed approach on the inquiry-based learning performances of students with different learning styles. The experimental results indicate that the proposed approach effectively enhanced the students' learning effects in terms of their learning achievement, learning motivation, satisfaction degree and flow state. Furthermore, it is also found that the proposed approach benefited the “active” learning style students more than the “reflective” style students in terms of learning achievement. This suggests the need to provide additional supports to students with particular learning styles in the future.