Correlations between learners’ initial EFL proficiency and variables of clicker-aided flipped EFL class

Although the flipped class has been hotly discussed, the clicker-aided flipped EFL class (CFEC) still remains a mystery for most scholars. This study aims to determine the correlations between the initial EFL proficiency and other variables of the clicker-aided EFL flipped class. The sample was made up of randomly selected 79 participants (Female =38; male =41), who received the clicker-aided EFL flipped class for one academic semester. It is found that there is a significantly positive relationship between the initial and the final EFL proficiency, motivation levels and cultural awareness in CFEC, whereas there is a negative relationship between initial EFL proficiency and cognitive loads in CFEC. The initial EFL proficiency is therefore an essential factor to influence the effectiveness of the flipped class. Future studies may consider this when exploring the educational technology aided flipped class.     

Relationship between teacher-led versus learners’ interaction and the development of pragmatics in the EFL classroom

In spite of the theoretical claims and research supporting the relationship between conversational interaction and language learning, the effect of interaction on the acquisition of pragmatic competence has received scant attention. This paper reports on the results of a study carried out to further understand the effect of teacher–students versus learners’ interaction on the development of learners’ pragmatic competence. The subjects included two groups of 12 students instructed in the use of requests. Group A was randomly assigned to learners’ collaborative language learning condition, and group B to teacher-led interaction on requests. Students in both groups were pre-tested and post-tested on their knowledge and use of requests. Results of the study examine the nature of collaborative dialogue in teacher–students and peer interaction, and support the claim that pragmatic knowledge may emerge from assisted performance.     

Structural relationship between learners’ perceptions of a test,learning practices,and learning outcomes: A study on the washback mechanism of a high-stakes test

The study aimed to explore the washback mechanism on learning by investigating the structural relationship between learners’ perceptions of a test, learning practices, and learning outcomes via structural equation modeling. The participants in this study included 3105 Chinese senior high school students. Exploratory factor analysis, confirmatory factor analysis, and structural equation modeling were used in the analyses of the data. This study found that learners’ perceptions of test validity, impact, and importance affected their learning practices in different ways and to different degrees. The research results also showed that four types of English learning practices had significant, positive, but differential effects on learning outcomes. The effect size was partly associated with the frequency of engagement with each learning practice. Based on the findings, some implications and suggestions were drawn for learners, teachers, test designers, and test authorities.     

The effects of diagrams and time-compressed instruction on learning and learners’ perceptions of cognitive load

The purpose of this study was to examine the effects of diagrams and time-compressed instruction on learning and learners’ perceptions of cognitive load. The following design factors, visuals (visuals and non-visuals) and time-compressed instruction (0%-normal paced, 25, and 50%) were presented to 216 university students to analyze learning in a multimedia environment. Participants listened to audio instruction of the heart and those in the visuals condition viewed 19 diagrams that corresponded to the verbal instruction. The dependent variables consisted of four achievement tests: drawing, identification, terminology, and comprehension. Review behaviors (back and replay buttons) and learners’ perceptions of cognitive load served as additional dependent variables. The results of this study indicate that listening to normal or moderately compressed (25%) instruction in a multimedia environment supports learning. At these speeds, cognitive load is not increased thus allowing learners to gain a conceptual understanding of the material.     

Students’ conceptions and the learning of science

This introductory article to the Special Issue of the International Journal of Science Education attempts to review the theoretical contexts for research into children's conceptions in science and to identify future directions for research programmes in this field.     

Distance learners’ multiple goals,learning and achievement in different learning situations

Can mastery and performance-approach goals predict distance learners’ learning and achievement in different learning situations over an academic year? Using a prospective longitudinal design, the current study examined this research question using a cohort of distance learners in Hong Kong. Two hundred and seventy-two distance learners completed three survey questionnaires at the beginning, in the middle and towards the end of an academic year. Regression analyses found that distance learners’ mastery and performance-approach goals at the beginning of the academic year predicted learning interest and the use of regulatory strategies in subsequent surveyed points after controlling for the effects of the age factor and self-efficacy levels.     

Exploring the link between experienced teachers’ learning outcomes and individual and professional learning community characteristics

The continuous professional development of teachers is crucial in our current knowledge-based society, yet empirical research on experienced teachers’ learning outcomes is scarce. In this study, we examine perceived changes in classroom practices and in competence as outcomes. By making these outcomes measurable, we can relate them to several individual teacher characteristics and professional learning community characteristics. A questionnaire was administered to 490 experienced teachers from 48 Flemish (Belgian) primary schools. Multilevel analyses show that of the professional learning community characteristics, only reflective dialogue is significant for perceived changes in practices. As for individual characteristics, self-efficacy relates positively to both perceived changes in practices and in competence. The relationship between teaching experience and both learning outcomes, however, is negative.     

The relationship between engagement in the scholarship of teaching and learning and students’ course experiences

While there has been a good deal of discussion about the scholarship of teaching and learning, and models have been developed to understand its scope, the effects on students’ learning of academics engaging in the scholarship of teaching and learning are unclear. In the context of initiatives to develop the scholarship of teaching and learning in a large research‐intensive university in Australia, this paper discusses the relationship between faculty performance on a set of scholarly accomplishments in relation to teaching and learning from 2002 to 2004, and changes in students’ course experiences from 2001 to 2005. The paper provides evidence of the relationship between the scholarship of teaching and learning and students’ course experiences and demonstrates the effectiveness of institutional strategies to encourage the scholarship of teaching and learning.     

Looking at MOOC discussion data to uncover the relationship between discussion pacings,learners’ cognitive presence and learning achievements

Education and Information Technologies - The MOOCs (Massive Open Online Courses) forum carries rich discussion data that contains multi-level cognition-related behavior patterns, which brings the...     

Relationships between Hong Kong students’ perceptions of the learning environment and their learning patterns in post-secondary education

The present study aims to analyse the complex relationships between the relevant constructs of students’ demographic background, perceptions, learning patterns and (proxy measures of) learning outcomes in order to delineate the possible direct, indirect, or spurious effects among them. The analytical methodology is substantively framed against the studies of Richardson (British Journal of Educational Psychology 76:867–893, 2006, Higher Education 54:385–416, 2007) that utilised a regression-based methodology to infer the possible causal relationships among the relevant learning constructs. A composite research instrument, written in Chinese and derived from the Inventory of Learning Styles (ILS) and the Course Experience Questionnaire (CEQ), was used to collect students’ feedback on their perceptions of the learning environment and their learning patterns. Valid responses were obtained from 1,572 students studying at six institutions in the post-secondary education sector in Hong Kong, a new response-context for both the CEQ and the ILS. In adapting the research instruments to a new Chinese response-context, the findings are generally consistent with those reported in other published works (e.g. no relationship between students’ demographic background and their satisfaction with the programme, and a significant relationship between students’ exhibition of undirected learning patterns and low expected performance), but there are also some noteworthy discrepancies. The findings therefore buttress the confidence with which an ILS-based General Theoretical Model of student learning, adapted from Richardson (British Journal of Educational Psychology 76:867–893, 2006, Higher Education 54:385–416, 2007), may be used to conceptualise and interpret the dynamics of variation across different cultural response-contexts. While the CEQ provides some valuable complementary insights, it is an instrument that requires further development in the response-context of the present study.     

The functions of shared metacognitive regulation and their differential relation with collaborative learners’ understanding of the learning content

By taking into account the functions of socially shared metacognitive regulation (SSMR) (i.e. the role that SSMR plays in the (dis)continuation of ongoing interaction), the present study sheds light on the differential effectiveness of SSMR. The study more particularly investigates how individual students' involvement in SSMR that confirms, changes, activates, or stops interaction, predicts their understanding of the learning content on the short and middle-long term, taking into account students' prior knowledge. Sixty university students were involved. Multilevel models were run to investigate the relation between individual students' engagement in the functions of SSMR and their conceptual understanding. Contributing to SSMR that changes and that activates collaborative learning appeared significantly positively related to students' immediate understanding of the learning content, whereas participating in SSMR that confirms or that stops ongoing interaction was not. Contributing to SSMR (regardless of its function) appeared not significant for predicting students’ conceptual understanding on the middle-long term.     

Adult learners’ emotions in online learning

The aim of the research study reported in this article was to investigate how adult learners talk about their emotions in the context of a year‐long online course, the first online course these adults take, as part of a distance education program. The theoretical and methodological approach focused on formulating an account of how emotion discourses are used by learners, what role they play in online learning, and how they change over a one‐year period (if they do so). The findings of this study provide three insights: (1) they show how adult learners (who also happen to be novice online learners) respond emotionally and talk about their emotions in relation to online learning; (2) they call attention to the ways in which emotion talk changes from the beginning of the course to the end, always in response to specific demands and dimensions of online learning; and (3) they reveal the differential emotional responses between men and women in relation to their social and gender roles and responsibilities. Empirical and policy implications of this study are discussed at the end.     

Effect of blended learning and learners’ characteristics on students’ competence: An empirical evidence in learning oriental music

Blended learning emerged as the most popular instructional design strategy in the field of education since last decade to present date. In fact, it is well acknowledged that blended learning approach significantly elevate students’ engagement and competency in learning process. Despite immense potentiality, many countries are still lag behind adopting this instructional design, such as Sri Lanka. Therefore, the primary aims of this study are two fold, (a) to investigate the effect of blended learning and learners’ characteristics on students’ competence and (b) to investigate the effectiveness of blended learning in teaching Oriental Music. This study mainly carried out among the senior secondary schools students at Colombo, Sri Lanka. A mixed methods, experimental and survey, were carried out to test the effectiveness of blended learning and identifying the important factors for enhancing students’ competence in learning Oriental Music. Results of independent sample t-test confirmed that blended learning is effective in terms of improving students’ performance in learning Oriental Music. Similarly, regression analysis confirmed that attitude and motivation are the two most important determinants for improving students’ competence. This study fulfilled an existing research gap by utilizing blended learning to teach highly traditional abstract art. Results of the study contributes to the curriculum designing field with novel ideas to adapt in hybrid instructions to teach secondary level students effectively. The curriculum designers will make use of these findings during innovation and future researcher would be benefitted to overlook more possible platforms to deliver music instructions. It will help them to understand how their set objectives have been achieved in technology integrations and seek for improvement where necessary.     

Effects of perceptions of the learning environment and approaches to learning on Chinese undergraduates’ learning

This study examined the relationship between students’ perceptions of the learning environment, high school performance, approaches to learning, and learning outcomes (generic skills development and course satisfaction). A sample of 74,687 undergraduates from 39 full-time regular universities in China responded to a questionnaire comprising four self-constructed scales. The results supported the reliability and validity of the instruments. A structural equation model showed that approaches to learning mediated the relationship between perceptions of the learning environment and learning outcomes. Specifically, deep approach was found to positively predict learning outcomes. Good teaching positively predicted deep and surface approaches, as well as learning outcomes. Student-faculty and peer interactions were strong predictors of learning approaches and learning outcomes. High school performance had weak effects on learning approaches and learning outcomes. These findings highlight the need of developing new instruments for assessing Chinese undergraduate students’ learning and have implications for improving undergraduate teaching in China.     

Mathematics learning with multiple solution methods: effects of types of solutions and learners’ activity

It is commonly suggested to mathematics teachers to present learners different methods in order to solve one problem. This so-called “learning with multiple solution methods” is also recommended from a psychological point of view. However, existing research leaves many questions unanswered, particularly concerning the effects of different types of solution methods and different degrees of learner’s activity. In this context, two experiments were conducted. In Experiment 1, a 2 × 3-factorial design was implemented, with the first factor concerning multiple versus uniform solutions and the second factor addressing different combinations of formal and informal solution methods. No “multiple solutions effect” was found. An integration of informal methods did not affect learning outcomes; however, it significantly reduced the subjective difficulty of the problems. Then, in Experiment 2, the effectiveness of multiple versus uniform solutions and of measures to foster an active processing was examined using a 2 × 3-factorial design (“number of solutions”: multiple versus uniform; “activity”: complete examples versus incomplete examples versus example-problem pairs). The “multiple” conditions significantly outperformed the “uniform” conditions, and complete examples and example-problem pairs significantly outperformed incomplete examples. Based on the results of Experiment 1 and 2, preconditions under which multiple solutions can improve learning outcomes are discussed.     

Towards adaptive open learning environments: Evaluating the precision of identifying learning styles by tracking learners’ behaviours

Open learning represents a new form of online learning where courses are provided freely online for large numbers of learners. MOOCs are examples of this form of learning. The authors see an opportunity for personalising open learning environments by adapting to learners’ learning styles and providing adaptive support to meet individual learner needs and preferences. Identifying learning styles of learners in open learning environments is crucial to providing adaptive support. Learning styles refer to the manner in which learners receive and perceive information. In the literature, a number of learning style models have been proposed. The Felder and Silverman Learning Styles Model (FSLSM) has been selected as the most appropriate model for open learning. In previous studies two approaches have been used to automatically identify learning styles based on the FSLSM. These approaches are known as the data-driven method and the literature-based method. In the literature, the literature-based method has been shown to be more accurate in identifying learning styles. This method relies on tracking learners’ interactions with the provided learning objects based on a set of pre-determined patterns that help in inferring learning styles. The patterns are monitored based on pre-identified threshold values. This paper aims to apply the literature-based method to open learning environments and introduce the optimal patterns and threshold values for identifying learning styles based on the FSLSM. To achieve this aim, a study was conducted whereby a prototype that simulates the open learning environment was developed and piloted on an undergraduate IT course so that learner behaviour could be tracked and data could be collected. Next, different sets of threshold values from the literature were considered along with some updated threshold values considering the context of open learning environments, and the precision of identifying learning styles was calculated. Eighty-three students participated in the study and used the developed prototype. Precision results from different threshold values presented in the literature along with customised threshold values for this study are reported and analysed in this paper. It is shown that threshold values derived from literature and customised to suit open learning environments provide a high level of accuracy in identifying learning styles. The paper presents the first study of its kind in evaluating threshold values and precision in identifying learning styles based on the FSLSM in open learning environments. The results are promising and indicate that the proposed methodology is efficient in detecting learning styles in open learning environments and useful for developing an adaptive framework.     

Exploring the relationship between students’ learning styles and learning outcome in engineering laboratory education

Abstract

It is a commonly accepted notion that people take different approaches in learning. Although attention has been given to learning styles as one of the determinants of learning performance, there is are limitations to the inferential approach to understanding the impact of learning styles on learning outcomes. The purpose of this study is to investigate the impact of learning preference on student learning outcome in engineering labs. The findings of this paper contribute to the existing literature in two ways. This study describes the typology of participants’ learning styles, confirming some results from similar research. Additionally, it examines the impact of learning styles, using the Visual, Aural, Read/Write and Kinesthetic (VARK) inventory as indicators of students’ learning outcomes, and how the findings confirm or contradict prior research results in important ways. Further, this study includes demographic information to investigate the influence on learning outcome. Discussions of the results from both analyses will contribute to an academic understanding of the critical success factors of the learning process and their practical application in laboratory learning.     

Examining the mediating effect of learning strategies on the relationship between students’ history interest and achievement

Research into the effect of interest consistently indicated that interest positively related to students’ achievement; however, the mechanism through which it affected the learning result remained an open question. This study intended to examine how learning strategies mediated the relationship between interest and achievement in the domain of history learning. Biggs Learning Process Questionnaire, which distinguishes between the surface and deep-level learning strategies, was adopted to describe students’ learning process. Structural equation modelling and the distribution of products test were used to evaluate the mediating effect. Based on available resources, the participants were seventh grade students in China. Analyses revealed that the surface-learning strategy served as a mediator, but the deep-learning strategy did not play the same role.     

Multiple‐goal learners and their differential patterns of learning

The hypothesis in this study was that different types of multiple‐goal learners would have different patterns of learning. A sample of 797 adult distance learners enrolled in different programs offered by a distance learning university in Hong Kong completed a questionnaire assessing their goals, use of strategies, motivational beliefs, and attitudes towards the course they were doing. Two‐stage cluster analyses found a group of single‐goal learners (mastery focused) and three groups of multiple‐goal learners with different focuses in their goal profiles: performance focus, work focus, and multiple focuses. These four clusters of learners differed in terms of use of learning strategies, regulatory strategies, motivational beliefs, and attitudes towards the course. Learners focusing on work‐related goals or performance goals achieved better examination results than did those focusing on multiple goals or solely on mastery goals.     

Inner speech in the learning context and the prediction of students’ learning strategy and academic performance

Abstract

The present study investigated whether and how learning-specific inner speech predicted students’ learning strategy and academic performance. Frequencies of inner speech use in specific learning settings were assessed. Four dimensions of inner speech including self-criticism, self-reinforcement, self-management, and social assessment were investigated and linked to the learning strategy and academic performance. Data were collected from both secondary school students and university students. The results indicated that both the cognitive regulative function (self-management) and the affective regulatory function (self-criticism or self-reinforcement) of inner speech contributed to students’ learning strategy, while only the cognitive regulative function of inner speech significantly predicted students’ academic performance. Furthermore, the prediction of inner speech to academic performance was partly mediated by the learning strategy.