Learning Performance Of Learners Research Articles

Learning in the spherical video-based virtual reality context: effects of immersion level and spatial ability on learning performance and experience

ABSTRACT Spherical video-based virtual reality (SVVR) is an emerging technology in the creation of virtual reality learning contexts. Existing studies have shown that immersion level and spatial ability affect learning performance and experience. Different levels of spatial ability also result in different learning performances and experiences in different levels of immersion, but this interaction effect remains unclear in the SVVR context. We conducted a 2 × 2 factorial experimental study to investigate the interactive effect of immersion level (high vs. low) and students’ spatial ability (high vs. low) on learning performance and experience in the SVVR context. A total of 120 college students participated in the study. The results showed that learning performance, presence, and motivation were significantly higher for high immersion than for low immersion. Learning performance was significantly higher for learners with high spatial ability than for those with low spatial ability. There was a significant interaction effect between immersion level and spatial ability on learning performance. The learning performance of learners with low spatial ability was significantly higher at high immersion than at low immersion. These findings provide a reference for educators to better apply SVVR to their teaching and help them personalize their instruction to students.

Influence of Teacher-Learners’ Classroom Interactions’ Strategies on Learners’ Learning Performance in Lower Primary. Case of Endoglossic Country, Rwanda

The study intended to analyze the influence of strategies employed in teacher-learners’ classroom interactions through English on learners’ learning performance in the lower primary of Musanze District. It followed a sequential exploratory research design. Six primary schools were purposively selected for qualitative data gathering, and ninety-one schools were sampled for quantitative data collection. Qualitative data were collected by semi-structured interviews conducted with 12 teachers and 6 school head teachers, while quantitative data were obtained from the written questionnaire administered to 84 teachers in lower primary. The thematic analysis was employed to analyze qualitative information while quantitative data were treated using inferential statistical analysis by T-test and ANOVA. Findings from the study revealed that some strategies employed in teacher-learners’ classroom interactions do not provide room of improving English language used as Medium of Instruction. Therefore, barriers in Medium of Instruction lead to misunderstanding or wrong interpretation of questions or other required tasks during school exercises, tests or examinations, that provoke low learners’ learning performance mostly in public and government-aided schools compared to their fellows in private schools, with satisfactory proficiency in English. Then, a statistically significant difference was detected between learners’ learning performance of learners in private versus their counterparts in public and government-aided schools. The study concluded that the language barrier handicaps effective teacher- learners’ classroom interactions and learners’ learning performance. Then, it recommended teachers and learners to adopt measures that improve their English proficiency as well as their interactions, to refine learners’ understanding of subjects taught in English to boost learners’ learning performance.

Influence of Teacher Intervention on College Students’ Metacognition in an Online Collaborative Learning Environment

The rapid development of the Internet, big data, and mobile Internet technology has resulted in the emergence of online collaborative learning as the primary mode of collaborative learning. Although online collaborative learning is flexible and autonomous, the learning performance of learners is not high. One of the main problems that perplexes teachers in online teaching is the high dropout rate but low completion rate. Online education has become increasingly important for improving the quality of students’ learning. Teachers’ rational use of resources, strategies, and other intervention techniques can significantly enhance the quality of online education. Exploring the effect of teacher-led classroom interventions on college students’ metacognition under the collaborative learning mode can further integrate information technology with classrooms and promote the improvement of classroom learning and teaching effectiveness. Two parallel classes, consisting of 80 students each, were selected as research subjects at Harbin University of Science and Technology in Heilongjiang Province, China. The aim of the study was to investigate the impact of teacher intervention on college students’ metacognition (specifically, metacognitive planning, metacognitive monitoring, metacognitive regulation, and metacognitive evaluation) in an online collaborative learning environment. Results show that there is no significant difference in the online collaborative learning experience between the experimental class and the control class (P = 0.3542 > 0.05). Nonetheless, the experimental and control groups differ in their metacognitive planning (t = 3.943, p = 0.000), metacognitive monitoring (t = 2.464, p = 0.016), metacognitive regulation (t = 2.024, p = 0.046), and metacognitive evaluation (t = 3.675, p = 0.000). These findings indicate that teacher intervention promotes metacognition among college students. The findings have significant reference value for the seamless integration of online teaching resources and teachers’ instruction, the customization of students’ individualized learning paths, and the enhancement of online collaborative learning performance.

Prior knowledge as a moderator between signaling and learning performance in immersive virtual reality laboratories.

The purpose of this study is to investigate the effects of signaling and prior knowledge on the cognitive loads, motivations, and learning of college students in an immersive virtual reality (IVR) environment. This study applied a 2 (signaling vs. no signaling) by 2 (high vs. low prior knowledge levels) between-subjects factorial design. The results revealed that signaling directed the attention of students with low prior knowledge levels, effectively helped them select relevant information and reduced their cognitive loads, whereas signaling had no significant effect on the cognitive loads, intrinsic motivation, and learning performance of learners with high levels of prior knowledge. These results suggest that IVR environments for students with low prior knowledge levels should reduce cognitive load and improve learning, and signals in the form of text annotations and color changes are recommended for additional support. Students with high prior knowledge levels do not require additional signals to support learning; therefore, the IVR environment needs to be designed in such a way as to be tailored to the individual differences of students.

Effects of Social Network Information on Online Language Learning Performance

This study examines the value and impact of social network information on a user's language learning performance by conducting an online experiment in a peer-to-peer collaborative language learning marketplace. Social information or information about others in one's network can present a socially networked learning environment that enables learners to engage more in the learning process. Experimental research design in an online language learning marketplace was conducted. The study finds evidence that the mere visibility of social network information positively impacts a learner's learning performance. Learners that engage with social interaction perform better than those that do not. In addition, active social interaction has a stronger impact on learning performance as compared to passive social interaction. The study concludes with implications for platform developers to enable the visibility of social information and engineer the user experience to enhance interactive learning.

The influence of learning style on satisfaction and learning effectiveness in the asynchronous web-based learning system

PurposeThe purpose of this paper is to investigate the effect of user’s learning style (including accommodators, divergers, convergers, and assimilators) on user’s satisfaction on the web-based learning system and their learning effectiveness.Design/methodology/approachThis experimental research used the college students from a technology institute in Taiwan as the subject sources. By using the Kolb’s learning style model, the students are classified as four types of learners: convergers, divergers, assimilators, and accommodators. The authors analyzed the relationships among the different learning styles with their effectiveness of learning and satisfaction of using the web-based learning system. The mediation effect of gender is also presented.FindingsThis research indicates that: first, the satisfaction of the web-based learning system has significant influence on the learning performance of learners; second, different learning styles learners have no significant effect to the satisfaction on using the web-based learning system; third, learning effectiveness has significant difference among different learning style learners on the web-based learning system; the learning effectiveness of accommodators and divergers was significantly higher than the assimilators; fourth, different learning styles learners show significant difference in gender proportion. In addition to accommodators, whose proportion of women is higher than men, the other three learning styles’ proportions in men are higher than women.Research limitations/implicationsThis study was grounded in the Kolb’s learning style theory. The authors provide implications for academic studies in e-learning research stream that aimed at understanding the role of learning style as well as gender differences in the asynchronous web-based learning system.Practical implicationsResults from this study provided the implications for students, educators, and e-learning system designers. The design of teaching materials as well as functions of e-learning systems should take learners’ learning style into consideration to ensure the best learning outcome.Originality/valueThis study examined the students’ learning style as well as gender differences in the asynchronous web-based learning system. An experiment was conducted to ensure the data were collected in a controlled environment, thus, offer the value that most of the prior study lacks.

Effects of online synchronous instruction with an attention monitoring and alarm mechanism on sustained attention and learning performance

ABSTRACTMany studies have shown that learners’ sustained attention strongly affects e-learning performance, particularly during online synchronous instruction. This work thus develops a novel attention monitoring and alarm mechanism (AMAM) based on brainwave signals to improve learning performance via monitoring the attention state of individual learners and helping online instructors or teaching assistants to improve the sustained attention levels of learners with low-attention states as they perform online synchronous instruction activities. Totally, 83 and 65 Grade 7 students were randomly assigned to the experimental and control groups that respectively underwent online synchronous instruction with and without AMAM support. Analytical results reveal that the experimental group of learners exhibited significantly better learning performance and sustained attention than those in the control group, verifying that the AMAM efficiently promotes the learning performance and sustained attention of learners. Moreover, the proposed AMAM was more helpful in improving the learning performance of female learners than those of male learners and improved the sustained attention of both male and female learners. Furthermore, the sustained attention, frequency of attention alarms, and learning performance of the learners in the experimental group were strongly correlated, and the sustained attention and frequency of attention alarms strongly predicted learning performance.

An Interactive Game Approach for Improving Students’ Learning Performance in Multi-Touch Game-Based Learning

This study, based on Taiwanese geographical concepts, develops a multi-touch interactive jigsaw puzzle (MIJP) to assist primary school students in solving geographical puzzles. The MIJP, which has multi-touch operating characteristics and provides two kinds of scaffolding tools, each with a different level of difficulty, can assist students in solving problems in the games and prevent them from feeling stuck and frustrated. In addition, it explores the influence of the interactive game approach (three levels of difficulty) on learning performance and satisfaction. The results indicated that the learning performance of each group, significantly improved after the experiment. In particular, moderate gaming difficulty led to the best learning performance for learners. A comparison of learners who did not use scaffolding to solve problems and those who did shows the level of the zone of proximal development (ZPD). Moreover, the analysis of satisfaction evaluations by learners with/without scaffolding showed there were statistically significant differences in the measures of learning satisfaction. Finally, this study revealed that the students tended to be over-reliant on the scaffolding tools during the game, which prevented them from internalizing knowledge through the interactive learning process.

An intelligent mobile location-aware book recommendation system that enhances problem-based learning in libraries

Despite rapid and continued adoption of mobile devices, few learning modes integrate with mobile technologies and libraries' environments as innovative learning modes that emphasize the key roles of libraries in facilitating learning. In addition, some education experts have claimed that transmitting knowledge to learners is not the only educational goal, as cultivating problem-solving skills is also essential. By integrating the problem-based learning (PBL) model with book resources in libraries, one can identify the advantages of libraries in supporting e-Learning, resulting in innovative and valuable research. Therefore, this study presents a novel intelligent mobile location-aware book recommendation system (IMLBRS) with map-based guidance to support cooperative PBL in a real-library environment. Using map navigation and book recommendation functionalities, learners can search for books associated with problem-solving with increased ease and efficiency, thereby helping learners increase their PBL performance in a library environment. Experimental results reveal that learning performance during PBL supported by the proposed IMLBRS for book searches is superior to learning performance during PBL supported by the online public access catalogue (OPAC). Experimental results also show that the proposed system facilitates better learning performance for learners with a field-dependent learning style than for learners with a field-independent learning style. Moreover, the proposed system facilitates learner contemplation, cooperative learning, and library user education as learners interact with a real-library environment and peers during cooperative PBL.

Developing a Taiwan library history digital library with reader knowledge archiving and sharing mechanisms based on the DSpace platform

PurposeThis work seeks to present a reading annotation and knowledge sharing tool, which can annotate a web page with HTML format archived by the Taiwan libraries' history digital library based on Web 2.0 technologiesDesign/methodology/approachThis work adopted DSpace, an open‐source institutional repository system, to implement a Taiwan Digital Library History Library with the reading annotation tool for knowledge archiving and sharing services. A quasi‐experimental design method was employed to randomly assign participants to an experimental group and control group to evaluate differences in the reading performance of learners who used the proposed annotation system. A statistical analysis scheme was employed to evaluate differences in learning performance of learners while reading and learning with the proposed annotation tool.FindingsThe paper finds that annotated digital material provides useful knowledge to readers. The values to those annotating and subsequent readers are the acquisition of in‐depth knowledge and efficient reading. Additionally, the effect on digital libraries is that digital library content grows dynamically as readers contribute knowledge. More importantly, annotated information from different readers has very high potential for the discovery of value‐added knowledge utilizing data mining techniques.Originality/valueCollecting user‐generated content is a novel research issue in the library sciences field, and few studies have developed useful tools that allow readers to actively contribute their knowledge to digital libraries. This work shows how to implement such digital library systems and how the annotation tool benefits the growth of digital archives and promotes learning performance.

Interactive augmented reality system for enhancing library instruction in elementary schools

Due to limited budgets and manpower, most elementary schools in Taiwan do not plan or provide library instruction for students. Although students can use libraries, they typically lack the knowledge needed to use library resources effectively. Consequently, students have difficulty finding the books they need and can easily become overwhelmed by the massive amount of information in libraries. Computer-assisted instruction for teaching basic library skills to large numbers of students is an appealing method. Particularly, developing augmented reality (AR) technologies for learning have garnered considerable attention in education research. Many researchers and scholars believe that integrating teaching and AR enhances student learning performance and motivation. This work develops an educational AR system based on situated learning theory, and applies innovative augmented reality interactive technology to a library’s learning environment. Student library knowledge can be enhanced via the proposed augmented reality library instruction system (ARLIS). Experimental results demonstrate that student learning performance is improved significantly by using the proposed ARLIS. Moreover, this work demonstrates that using the proposed ARLIS for library instruction results in the same learning performance as conventional librarian instruction and there is no gender difference on learning performance between the proposed ARLIS and conventional librarian instruction. Moreover, the proposed library instruction system overcomes shortcomings of personal teaching skills of librarians that may adversely affect student learning performance by conveying the same learning content to all students. Additionally, the proposed system results in better learning performance for learners with the field-dependent cognitive style than learners with the field-independent cognitive style. Further, the proposed system provides more benefits in terms of library skills of application and comprehension than conventional librarian instruction. Moreover, the learning performance of students is not affected by their gaming skills. Therefore, student gaming skills do not need to be considered when adopting the proposed system in library instruction programs.

Personalised context-aware ubiquitous learning system for supporting effective English vocabulary learning

Because learning English is extremely popular in non-native English speaking countries, developing modern assisted-learning schemes that facilitate effective English learning is a critical issue in English-language education. Vocabulary learning is vital within English learning because vocabulary comprises the basic building blocks of English sentences. Therefore, numerous studies have attempted to increase the efficiency and performance of learning English vocabulary. ‘The situational learning approach’ proposed that ‘context’ is an important consideration in the language learning process and can enhance learner learning interest and efficiency. Restated, meaningful vocabulary learning occurs only when the learning process is integrated with social, cultural and life contexts. With the rapid development of context-awareness techniques, the development of context-aware mobile learning systems, which can support learners in learning without constraints of time or place via mobile devices and associate learning activities with real learning environment, enables the conduct of a novel context-aware ubiquitous learning mode to enhance English vocabulary learning. Accordingly, this study proposes a personalised context-aware ubiquitous learning system (PCULS) for learning English vocabulary based on learner location as detected by wireless positioning techniques, learning time, individual English vocabulary abilities and leisure time, enabling learners to adapt their learning content to effectively support English vocabulary learning in a school environment. Experimental results indicated that the accuracy of the employed wireless positioning scheme is over 92%, which is sufficient to help learners detect their locations. Additionally, the PCULS has been successfully implemented on PDA devices in a school environment to support effective situational English vocabulary learning. Experimental result indicates that the learning performance of learners who used personalised English vocabulary learning systems with context awareness (i.e. PCULS) was superior to learners who used personalised English vocabulary learning systems without context awareness.

Application of automatically constructed concept map of learning to conceptual diagnosis of e-learning

The concept map proposed by Novak is a good tool to portray knowledge structure and to diagnose students’ misconception in education. However, most of the learning concept maps have to be constructed through the suggestions of experts or scholars in related realm. It is really a complicated and time-consuming knowledge acquisition process.The study proposed to apply the algorithm of Apriori for Concept Map to develop an intelligent concept diagnostic system (ICDS). It provides teachers with constructed concept maps of learners rapidly, and enables teachers to diagnose the learning barriers and misconception of learners instantly. The best Remedial-Instruction Path (RIP) can be reached through the algorithm of RIP suggested in this study. Furthermore, RIP can be designed to provide remedial learning to learners. Moreover, by using statistical method, the study analyzed 245 students’ data to investigate whether the learning performance of learners can be significantly enhanced after they have been guided by the RIP.