Influence of polling technologies on student engagement: An analysis of student motivation,academic performance,and brainwave data

This study compared clicker technology against mobile polling and the Just-in-Time Teaching (JiTT) strategy to investigate how these methods may differently affect students' anxiety, self-efficacy, engagement, academic performance, and attention and relaxation as indicated by brainwave activity. The study utilized a quasi-experimental research design. To assess the differences between the effects of clickers and mobile polling, the study collected data from two courses at a large research university in Taiwan in which 69 students used either clickers or mobile polling. The results showed that mobile polling along with the JiTT strategy and in-class polls reduce graduate students' anxiety, improve student outcomes in an environment comprising both graduate and undergraduate students, and increase students' attention during polling. However, brainwave data revealed that during the polling activities, students' attention in the clicker and mobile polling groups respectively increased and decreased. Students nowadays do not find smartphones a novelty; however, incorporating them into class is still a potentially effective way to increase student attention and provide a direct way for instructors to observe the learning effects of lectures and improve their teaching approach on that basis.     

Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit

The objective of this study is to propose a research framework that investigates the relation between perceived fit and system factors that can motivate learners in continuing utilizing an e-learning system in blended learning instruction. As learners have the face-to-face learning opportunity in interacting with lecturers, the study aims at investigating the critical features the e-learning system can provide in assisting learning. Both quantitative (survey) and qualitative (focus group interview) methods are applied in this paper. Results reveal that the information quality and task-technology fit influence the confirmation of system acceptance. Perceived usefulness and system satisfaction have major impacts on continuance intentions. Notions from contingency theory are used to interpret these findings.     

The values of college students in business simulation game: A means-end chain approach

Business simulation games (BSGs) enable students to practice making decisions in a virtual environment, accumulate experience in application of strategies, and train themselves in modes of decision-making. This study examines the value sought by players of BSG. In this study, a means-end chain (MEC) model was adopted as the basis, and ladder method soft laddering was used to conduct in-depth interviews with students who had experience in using BSGs. The chain concept of “attribute-consequence-value” was used to understand students’ value cognition structures. Content analysis was used to analyze the attributes-consequences-values for BSGs players, then converted into a Hierarchical Value Map (HVM). The results showed that students consider teamwork and market diversity as the most important attributes, and the consequences of a cooperative approach and market diversity are emotional exchange and multi-thinking, with the ultimate value brought to users by exchanges between teams and constant thinking being interpersonal relationships and a sense of accomplishment.     

Data mining for providing a personalized learning path in creativity: An application of decision trees

Customizing a learning environment to optimize personal learning has recently become a popular trend in e-learning. Because creativity has become an essential skill in the current e-learning epoch, this study aims to develop a personalized creativity learning system (PCLS) that is based on the data mining technique of decision trees to provide personalized learning paths for optimizing the performance of creativity. The PCLS includes a series of creativity tasks as well as a questionnaire regarding several key variables. Ninety-two college students were included in this study to examine the effectiveness of the PCLS. The experimental results show that, when the learning path suggested by a hybrid decision tree is employed, the learners have a 90% probability of obtaining an above-average creativity score, which suggests that the employed data mining technique can be a good vehicle for providing adaptive learning that is related to creativity. Moreover, the findings in this study shed light on what components should be accounted for when designing a personalized creativity learning system as well as how to integrate personalized learning and game-based learning into a creative learning program to maximize learner motivation and learning effects.     

Development of a reading material recommendation system based on a knowledge engineering approach

In a language curriculum, the training of reading ability is one of the most important aspects. Previous studies have shown the importance of assigning proper articles to individual students for training their reading ability; nevertheless, previous experience has also shown the challenges of this issue owing to the complexity of personal factors as well as the diverse properties of the candidate articles to be taken into consideration. This study proposes a knowledge engineering approach for developing reading material recommendation systems by eliciting domain knowledge from multiple experts. Experimental results on 29 senior high school students show that the developed system is able to provide expert-like recommendations to the students by taking preferences and knowledge levels of individual students as well as categories and traits of articles into consideration.     

The effectiveness of using procedural scaffoldings in a paper-plus-smartphone collaborative learning context

The purpose of this study was to evaluate the effectiveness of using procedural scaffoldings in fostering students’ group discourse levels and learning outcomes in a paper-plus-smartphone collaborative learning context. All participants used built-in camera smartphones to learn new knowledge by scanning Quick Response (QR) codes, a type of two-dimensional barcode, embedded in paper-based learning materials in this study. Sixty undergraduate and graduate students enrolled at a four-year university in southern Taiwan participated in this study. Participants were randomly assigned into two different groups, using procedural scaffoldings learning and non-procedural scaffoldings learning. The learning unit about the Long Tail, an important concept used in products sales, was the learning task that participants were expected to complete. During the experiment, pretest–posttest and the completed group worksheets were used to collect data. The researchers applied content analyses, chi-square test, t-test, and ANCOVA to answer research questions. The findings indicated that participants in the experimental group using procedural scaffoldings achieved better learning outcomes than their counterparts in the control group in terms of group discourse levels, group learning, and individual learning.     

The use of ICT to support the development of practical music skills through acquiring keyboard skills: a classroom based study

This paper concerns the use of Information and Communications Technology (ICT) in music classrooms, with the focus on the secondary school music curriculum in the United Kingdom. In particular, it reports on a study of learners in a UK school using software designed to support practical music skills. The paper begins by briefly raising and summarising some key issues for the use of ICT in the UK music curriculum arising from current research and practice in music education. In this context the study is described, which was carried out in a British secondary school with 36 pupils in year 8 (aged ≈13). This study investigated whether a commercial CD-ROM entitled Teach Me Piano Deluxe, which was designed to teach music practical skills was able to support pupils’ acquisition of music keyboard skills.The results showed that there was a significant improvement in reading music (staff) notation and rhythm skills. The study suggests that this is one of the ways in which ICT may be useful for learning practical music skills in the music classrooms. Such potential improvement in practical skills may, in turn, enable pupils to approach music-based activities such as: composing, performing or listening in the classrooms, with greater confidence, a deeper level of understanding, and appreciation.     

The implementation and evaluation of a mobile self- and peer-assessment system

Recently, more and more researchers have been exploring uses of mobile technology that support new instructional strategies. Based on research findings related to peer and self assessment, this study developed a Mobile Assessment Participation System (MAPS) using Personal Digital Assistants (PDAs) as the platform. In addition, the study proposes an implementation model of the MAPS that should facilitate the effectiveness of self- and peer-assessment in classrooms. The researcher argues that teachers and students can benefit from MAPS in various regards including more flexible assessment arrangement, more efficient use of time, and more opportunities for student reflection on learning and assessment. Thirty-seven students taking teacher-education courses with the researcher participated in this study, and these students employed the MAPS to conduct two-round assessment activities that would help these students assess both their own and one another’s final projects. Both the students’ valid responses in a survey herein and scores obtained from the assessment activities confirmed the benefits of the MAPS and its implementation model. Yet, the students voiced such concerns as the objectivity of peer-assessment and the difficulty of providing constructive feedback, and the correlation analysis indicated a lack of consistency between teacher-grading and student-grading.     

Personalising learning through the use of technology

In March 2005, the Department for Education and Skills published its e-strategy, Harnessing Technology (DfES, 2005, Harnessing technology: Transforming Learning and Children’s Services). Within this, two of its key objectives were: firstly to transform teaching and learning, and help to improve outcomes for children and young people, through shared ideas, more exciting lessons, and online help for professionals. Secondly, to engage ‘hard to reach’ learners, with special needs support, in more motivating ways of learning, and give them more choice about how and when they learn.     

Effects on learning of multimedia animation combined with multidimensional concept maps

This study investigates whether teaching materials combining multimedia animation and multidimensional concept maps (MAMCMs) improve learning achievement, retention, and satisfaction more than multidimensional concept maps (MCMs), as suggested by Huang et al. (2012) in Computers & Education. Learning retention, learning achievement, and learning satisfaction associated with two sets of course materials were compared in this quasi-experimental study. In total, 114 students from two classes at one private university in Taiwan participated in this 6-week teaching experiment. Analytical results indicate that learning achievement, learning satisfaction, and learning retention of the MAMCM group were better than those of the MCM group. Pedagogical implications and suggestions are given.     

Schoenfeld’s problem solving theory in a student controlled learning environment

This paper evaluates the effectiveness of a student controlled computer program for high school mathematics based on instruction principles derived from Schoenfeld’s theory of problem solving. The computer program allows students to choose problems and to make use of hints during different episodes of solving problems. Crucial episodes are: analyzing the problem, selecting appropriate mathematical knowledge, making a plan, carrying it out, and checking the answer against the question asked.     

Using a “prediction–observation–explanation” inquiry model to enhance student interest and intention to continue science learning predicted by their Internet cognitive failure

The development of information technology, such as iPad applications, facilitates the implementation of constructivist teaching methods. Thus, the present study developed a “prediction–observation–explanation” (POE) inquiry-based learning mode to teach science concepts using the iPad2. The study used the “attention-to-affect” model with a self-report measure to determine the antecedent factor – Internet cognitive failure – related to learning interest based on students' continuance intentions to practice POE inquiry using the iPad2. A total of 96 elementary 6th grade students participated in the study and completed the questionnaires, of which 81 effective questionnaires were validated for the confirmatory factor analysis with structural equation modeling. The results of this study indicated that Internet cognitive failure was negatively associated with three types of learning interest as indicated by high levels of liking, enjoyment, and engagement. On the other hand, three types of learning interest were positively correlated to continuance learning through iPad2 interactions. The results suggested that the POE mode of inquiry is suitable for implementing at an intelligent mobile device to enhance young students' interest and continuance intentions with respect to the learning of science.     

Use of blogs in pre-service teacher education to improve student engagement

Web 2.0 technologies allow average computer users to be able to publish on the Internet without having to know complex computer technical knowledge, which gives these technologies powerful potential to facilitate student engagement in various learning environments. However, a knowledge gap exists in the literature related to factors affecting student engagement with Web 2.0 technologies. The purpose of this study is to understand factors affecting student engagement in a pre-service teacher education program that uses blogs to expand in-class discussions about technology integration. First year pre-service teachers in a mathematics education department participated in the study. Data were collected with a survey that was developed to measure student engagement with blog use. Results show that student motivation, reasons to use blog in the course, and level of challenge perceived by the students affect students' engagement with blog use. Gender and technical ability of students do not impact students' engagement. As a result, blogs can be utilized to expand in-class discussions equally well for all students.     

A video lecture and lab-based approach for learning of image processing concepts

The current practice of traditional in-class lecture for learning computer science (CS) in the high schools of Taiwan is in need of revamping. Teachers instruct on the use of commercial software instead of teaching CS concepts to students. The lack of more suitable teaching materials and limited classroom time are the main reasons for the software-based teaching practices. This study proposes a pre-class video viewing of the lecture content plus in-class supervised laboratory work as a model that can overcome the above problems. Experiments on teaching image processing concepts at two local high schools have been conducted. The experimental results show that the proposed model is a feasible and effective way for the teaching and learning of image processing. The new approach also facilitates student–student and student–teacher interactions in the classroom. Finally, an improvement in the understanding of the subject by the students and an increased interest toward learning CS are also evident.     

Effects of a vocabulary acquisition and assessment system on students’ performance in a blended learning class for English subject

Vocabulary acquisition and assessment are regarded as the key basis for the instruction of English as a second language. However, it is time-consuming, fallible and repetitive for the school teachers and parents to assess the proficiency of the students’ vocabulary acquisition. We customized the open source course management system Moodle to build the individualized vocabulary review and assessment functions for English instruction. This web-based system was integrated into the regular English instruction of an experiment class of Grade three in a junior middle school, i.e. it was used in one school hour almost every week for an entire school term. Within this blended learning environment, the students’ performance of the experiment class in the ordinary and especially vocabulary examinations throughout the school term was improved gradually and was better than that of the control class, so that it achieved number one among sixteen classes in the same grade at the final term examination, compared with number eight before this experiment. The survey and interview with the students also demonstrated the system’s valuable functions for vocabulary acquisition and listening comprehension, and showed the students’ favor to such a kind of syllabus design with the intelligent course management system. The implication of this research is that the blended learning of English class with the individualized vocabulary acquisition and assessment system can improve the students’ performance in vocabulary acquisition and in ordinary test. This system can also be applied in other English classes.     

An empirical investigation of student acceptance of course websites

The World Wide Web (WWW) is the future in teaching and learning. This paper uses the Technology Acceptance Model (TAM) constructs of usefulness and ease of use to assess university students’ acceptance of course websites as an effective learning tool. A survey instrument was distributed to 450 undergraduate students and a total of 403 usable responses were obtained. Exploratory and confirmatory factor analyses were implemented using structural equation modeling techniques through LISREL version 8.52. A structural equation model was used to fit and validate the Course Website Acceptance Model (CWAM) and the results indicated good fit to the data. Course website usefulness and ease of use proved to be key determinants of the acceptance and usage of course website as an effective and efficient learning technology. The causal relationships between the constructs considered by the CWAM were well supported, accounting for 83% of the total variance in the course website acceptance and usage.     

The influence of student characteristics on the use of adaptive e-learning material

Adaptive e-learning materials can help teachers to educate heterogeneous student groups. This study provides empirical data about the way academic students differ in their learning when using adaptive e-learning materials. Ninety-four students participated in the study. We determined characteristics in a heterogeneous student group by collecting demographic data and measuring motivation and prior knowledge. We also measured the learning paths students followed and learning strategies they used when working with adaptive e-learning material in a molecular biology course. We then combined these data to study if and how student characteristics relate to the learning paths and strategies they used. We observed that students did follow different learning paths. Gender did not have an effect, but (mainly Dutch) BSc students differed from (international) MSc students in the intrinsic motivation they had and the learning paths and strategies they followed when using the adaptive e-learning material.